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Aqua (EOS/PM-1)

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Jointly funded by NASA (National Aeronautics and Space Administration, USA), INPE (National Institute for Space Research, Brazil) and JAXA (Japan Aerospace Exploration Agency), Aqua (formerly known as EOS/PM-1) is part of NASA’s international Earth Observing System (EOS), as well as their Earth Science Enterprise (ESE) program. Aqua’s main focus is the multidisciplinary study of the Earth’s water cycle including cloud formation, precipitation, radiative properties, air-sea fluxes of energy, carbon and moisture, and sea ice concentrations and extents. Launched in May 2002 from Vandenberg Air Force Base, California, USA, Aqua had a design life of six years, however remains operational as of July 2022.

Quick facts

Overview

Mission typeEO
AgencyJAXA, NASA, INPE
Mission statusOperational (extended)
Launch date04 May 2002
Measurement domainAtmosphere, Ocean, Land, Snow & Ice
Measurement categoryCloud type, amount and cloud top temperature, Liquid water and precipitation rate, Atmospheric Temperature Fields, Cloud particle properties and profile, Ocean colour/biology, Aerosols, Multi-purpose imagery (ocean), Radiation budget, Multi-purpose imagery (land), Surface temperature (land), Vegetation, Albedo and reflectance, Surface temperature (ocean), Atmospheric Humidity Fields, Ozone, Trace gases (excluding ozone), Sea ice cover, edge and thickness, Soil moisture, Snow cover, edge and depth, Ocean surface winds
Measurement detailedCloud top height, Ocean imagery and water leaving spectral radiance, Ocean chlorophyll concentration, Downward long-wave irradiance at Earth surface, Cloud cover, Cloud optical depth, Precipitation intensity at the surface (liquid or solid), Aerosol optical depth (column/profile), Cloud type, Cloud ice content (at cloud top), Color dissolved organic matter (CDOM), Cloud imagery, Cloud liquid water (column/profile), Land surface imagery, Upward short-wave irradiance at TOA, Upward long-wave irradiance at TOA, Cloud drop effective radius, Aerosol effective radius (column/profile), Fire temperature, Vegetation type, Fire fractional cover, Earth surface albedo, Downwelling (Incoming) solar radiation at TOA, Short-wave Earth surface bi-directional reflectance, Leaf Area Index (LAI), Land cover, Atmospheric specific humidity (column/profile), O3 Mole Fraction, Atmospheric temperature (column/profile), Land surface temperature, Sea surface temperature, CH4 Mole Fraction, Ocean suspended sediment concentration, Precipitation index (daily cumulative), Sea-ice cover, Snow cover, Soil moisture at the surface, Wind speed over sea surface (horizontal), Cloud top temperature, Normalized Differential Vegetation Index (NDVI), Snow water equivalent, Atmospheric stability index, Photosynthetically Active Radiation (PAR), Fraction of Absorbed PAR (FAPAR), CO2 Mole Fraction, CO Mole Fraction, Height of tropopause, Temperature of tropopause, Downward short-wave irradiance at Earth surface, Long-wave Earth surface emissivity, Diffuse attenuation coefficient (DAC), Upwelling (Outgoing) long-wave radiation at Earth surface, Short-wave cloud reflectance
InstrumentsHSB, AIRS, AMSR-E, AMSU-A, CERES, MODIS
Instrument typeImaging multi-spectral radiometers (vis/IR), Earth radiation budget radiometers, Imaging multi-spectral radiometers (passive microwave), Atmospheric temperature and humidity sounders
CEOS EO HandbookSee Aqua (EOS/PM-1) summary
AQUA Satellite (Image credit: NASA Earthdata)


 

Summary

Mission Capabilities

Aqua has six instruments: the Atmospheric Infra-red Sounder (AIRS), the Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the Advanced Microwave Sounding Unit-A (AMSU-A), the Cloud and the Earth’s Radiant Energy System (CERES), the Humidity Sounder for Brazil (HSB), and the Moderate-Resolution Imaging Spectroradiometer (MODIS). 
The AIRS instrument is a medium resolution infrared spectrometer that provides high spectral resolution measurements of temperature and humidity profiles in the atmosphere. These include long-wave Earth surface emissivity, cloud diagnostics, surface temperatures and trace gas profiles. The instrument contains one infrared band and four near-infrared bands. 
AMSU-A functions as an absorption-band microwave spectrometer that allows the satellite to capture all-weather night-day temperature sounding to an altitude of 45 km. HSB is also an absorption-band microwave spectrometer that records humidity soundings for climatological and atmospheric dynamics applications. 
AMSR-E is a multi-purpose imaging microwave radiometer that attains measurements of water vapour, cloud liquid water, precipitation, winds, sea surface temperature, sea ice concentration, and soil moisture. The radiation measurements are collected via the CERES module and provide long term measurements of Earth’s radiation budget. 
MODIS collects data on biological and physical processes on the Earth’s surface, in the lower atmosphere and on global dynamics, as well as surface temperatures of ocean and land processes, chlorophyll fluorescence, land and cloud cover. 
 

Performance Specifications

AIRS contains more than 2300 spectral channels that have a spatial resolution of 0.4 - 14.4 μm, with an instantaneous field of view (IFOV) of 1.1°, field of view (FOV) of ± 49.5°, and swath width of 1650 km (13.5 km horizontal at nadir, 1km vertically positioned). The AMSU and HSB modules have a total of nineteen channels, with fifteen used by AMSU. AMSU is divided into two units, AMSU-A1 measures temperature profiles and has a swath width of approximately 1690 km, while AMSU-A2 is a smaller unit and has a nominal instantaneous field of view of 3.3°. The HSB module has a swath width of 1650 km with an IFOV of 1.1° or 13.5 km at nadir.

The AMSR-E instrument has a swath width of greater than 1450 km and an incidence angle of 55°. The instrument senses microwave radiation at 12 channels with 6 specific frequency ranges: 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. CERES has a resolution of 20 km and three specific channels of 0.3 - 5 um, 0.3 - 100 um, and 8 - 12 um. MODIS has a swath width of 2330 km and thirty-six bands in the range of 0.4 - 14.4 um. 

Aqua is in sun-synchronous orbit at an altitude of 705 km with an orbital inclination of 98.2° and a repeat cycle of 16 days. 
 

Space and Hardware Components

The Aqua spacecraft is based on the AB1200 bus design by TRW (now Northrop Grumman) and has a total mass of 2,934 kg. The propulsion system is a hydrazine blow-down system with four pairs of thrusters. The spacecraft had a design life of six years, which it has outlasted, and achieves radio-frequency communications based on the Consultative Committee for Space Data Systems (CCSDS) protocol and through Direct Broadcast (DB). 

Aqua Mission (EOS/PM-1)

Spacecraft     Launch    Mission Status     Sensor Complement    References

 

The Aqua mission is a part of the NASA's international Earth Observing System (EOS). Aqua was formerly named EOS/PM-1, signifying its afternoon equatorial crossing time. NASA renamed the EOS/PM-1 satellite to Aqua on Oct. 18, 1999. The Aqua mission is part of NASA's ESE (Earth Science Enterprise) program. 1) 2) 3)

The focus of the Aqua mission is the multi-disciplinary study of the Earth's water cycle, including the interrelated processes (atmosphere, oceans, and land surface) and their relationship to Earth system changes. The data sets of Aqua provide information on cloud formation, precipitation, and radiative properties, air-sea fluxes of energy, carbon, and moisture (AIRS, AMSU, AMSR-E, HSB, CERES, MODIS); and sea ice concentrations and extents (AMSR-E).

Figure 1: Illustration of the Aqua satellite (image credit: NASA)
Figure 1: Illustration of the Aqua satellite (image credit: NASA)

Spacecraft

The Aqua spacecraft is based on TRW's modular, standardised AB1200 bus design (also referred to as T-330 platform) with common subsystems (Note: Northrop Grumman purchased TRW in Dec. 2002). The satellite dimensions are: 2.68 m x 2.47 m x 6.49 m (stowed) and 4.81 m x 16.70 m x 8.04 m (deployed). Aqua is three-axis stabilised, with a total mass of 2,934 kg at launch, S/C mass of 1,750 kg, payload mass =1,082 kg, propellant mass = 102 kg; power = 4.86 kW (EOL). Propulsion: hydrazine blow-down system; 4 pairs of thrusters. The design life is six years.

RF communications: X-band, S-band (TDRSS and Deep Space Network/Ground Network compatible). All communications are based on CCSDS protocols. Like the Terra mission, Aqua provides various means of payload data downlinks, among them Direct Broadcast (DB).

Figure 2: The Aqua spacecraft in launch preparation at VAFB (image credit: NASA)
Figure 2: The Aqua spacecraft in launch preparation at VAFB (image credit: NASA)

Launch

The Aqua spacecraft was launched on May 4, 2002 with a Delta-2 7920-10L vehicle from VAFB, CA. Aqua is the second satellite in NASA's series of EOS spacecraft. - Aura, the third of the three large satellites in the EOS series, was launched in July 2004 and is lined up behind Aqua, in the same orbit.

Orbit: Sun-synchronous circular orbit, altitude = 705 km (nominal), inclination = 98.2º, local equator crossing at 13:30 (1:30 PM) on ascending node, period = 98.8 minutes, the repeat cycle is 16 days (233 orbits).

The Aqua spacecraft is part of the “A-train” (Aqua in the lead and Aura at the tail, the nominal separation between Aqua and Aura is about 15 minutes) or “afternoon constellation” (a loose formation flight which started sometime after the Aura launch July 15, 2004). The objective is to coordinate observations and to provide a coincident set of data on aerosol and cloud properties, radiative fluxes and atmospheric state essential for accurate quantification of aerosol and cloud radiative effects.

The PARASOL spacecraft of CNES (launch on Dec. 18, 2004) is part of the A-train as of February 2005. The OCO mission (launch in 2009) will be the newest member of the A-train. Once completed, the A-train will be led by OCO, followed by Aqua, then CloudSat, CALIPSO, PARASOL, and, in the rear, Aura. 4)

Note: The OCO (Orbiting Carbon Observatory) spacecraft experienced a launch failure on Feb. 24, 2009 - hence, it is not part of the A-train.

Figure 3: Illustration of Aqua in the A-train (image credit: NASA)
Figure 3: Illustration of Aqua in the A-train (image credit: NASA)

Figure 4: An introduction to Aqua (video credit: NASA)

Note: As of 19 April 2022, the previously single large Aqua file has been split into three files, to make the file handling manageable for all parties concerned, in particular for the user community.

This article covers the Aqua mission and its imagery in the period 2022

 

 


 

Mission Status

• July 19, 2022: During the first week of July, NASA satellites began detecting signs that several wildland fires were burning in Russia’s far east. Two weeks later, several fires had grown much larger and more intense, creating rivers of smoke that flowed over parts of Khabarovsk and the neighbouring Republic of Sakha (Yakutia). 5) According to Sakha’s emergencies ministry, 51 fires burned across roughly 9,737 hectares (38 square miles) on July 18. More than 500 people were fighting the fires in Sakha, and thousands more were deployed to fire fronts across Russia, according to Russia’s ministry of emergency situations (EMERCOM). For the previous two years, Sakha endured unusually severe fire seasons. In 2021, more than 8.4 million hectares (84,000 km2) of forests burned in Sakha, nearly four times the long-term average. Fires were not the only hazard facing the region. Flooding along the Yana River displaced hundreds of people in Sakha.

Figure 5: The MODIS instrument on NASA’s Aqua satellite captured this natural-color image of smoke swirling over the region on July 17, 2022. The image has been overlaid with red circles indicating locations where MODIS detected heat signatures indicative of fire. Many of the fires were burning in the Ayano-Maysky district of Khabarovsk, which is home to larch forests and the circular Kondyor massif (image credit: NASA Earth Observatory image by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and data from the Fire Information for Resource Management System (FIRMS). Story by Adam Voiland)
Figure 5: The MODIS instrument on NASA’s Aqua satellite captured this natural-colour image of smoke swirling over the region on July 17, 2022. The image has been overlaid with red circles indicating locations where MODIS detected heat signatures indicative of fire. Many of the fires were burning in the Ayano-Maysky district of Khabarovsk, which is home to larch forests and the circular Kondyor massif (image credit: NASA Earth Observatory image by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and data from the Fire Information for Resource Management System (FIRMS). Story by Adam Voiland)

• June 24, 2022: Torrential monsoon rains, lightning, and landslides are common in Bangladesh and the northeastern Indian states of Assam and Meghalaya during the summer. But the intensity of the severe weather that pummeled the low-lying region in mid-June 2022 stands out. 6) After weeks of downpours, flooding swamped millions of homes and displaced hundreds of thousands of people in India and Bangladesh, according to reports from humanitarian agencies. Officials from the hard-hit Sylhet region of Bangladesh called the floods the worst to hit the area in more than a century.

Figure 6: This image shows northeast Bangladesh and India on 22 June 2022. The false-color image, acquired with the MODIS instrument on NASA’s Aqua satellite, combine infrared and visible light (bands 7-2-1) to make it easier to see the boundary between water and land. Water appears navy blue and black; clouds are white or cyan; and vegetation is bright green. Monsoon rains have overwhelmed villages, inundated crops, and displaced hundreds of thousands of people (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Adam Voiland)
Figure 6: This image shows northeast Bangladesh and India on 22 June 2022. The false-colour image, acquired with the MODIS instrument on NASA’s Aqua satellite, combine infrared and visible light (bands 7-2-1) to make it easier to see the boundary between water and land. Water appears navy blue and black; clouds are white or cyan; and vegetation is bright green.( image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Adam Voiland)
Figure 7: Aqua acquired this image on 8 May 2022 (image credit: NASA Earth Observatory)
Figure 7: Aqua acquired this image on 8 May 2022 (image credit: NASA Earth Observatory)

• June 15, 2022: On June 4–5, 2022, thunderstorms moved across south-central and southwest Alaska, delivering nearly 5,000 lightning strikes and igniting dozens of wildfires. It was the latest outbreak in an unusually active fire season so far. 7) In the Yukon Delta, the East Fork fire has become the largest tundra fire on record. Ignited on May 31 by a lightning strike, it has burned more than 150,000 acres along the Yukon River north of the village of St. Mary’s. Northerly winds drove the East Fork fire within about 3.5 miles (6 km) of the village of St. Mary’s. To the east, the Hog Butte fire had so far burned about 58,000 acres about 125 miles (200 kilometers) west of Denali National Park. On June 11, 2022, the Hog Butte fire spawned a pyrocumulonimbus cloud (pyroCb) that reached an altitude of about 6 miles (10 kilometers). It was the first pyroCb over Alaska in two years. According to a report from the Alaska Interagency Coordination Center, by mid-June 2022, 250 wildfires had already burned more than 770,000 acres, not counting prescribed burns. Over the last 30 years, the median area burned by mid-June has been about 50,000 acres. Smoke from the wildfires drifted over the Alaska Range into Anchorage and northeast across the state causing reduced visibility and poor air quality.

Figure 8: As of June 14, 2022, there were 85 active fires burning across the state. More than half of them were burning in southwest Alaska, which is shown in a natural-color image acquired on June 10, 2022, by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua satellite (image credit: NASA Earth Observatory images by Joshua Stevens, using Landsat data from the U.S. Geological Survey and MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)
Figure 8: As of June 14, 2022, there were 85 active fires burning across the state. More than half of them were burning in southwest Alaska, which is shown in a natural-colour image acquired on June 10, 2022, by the MODIS on NASA’s Aqua satellite (image credit: NASA Earth Observatory images by Joshua Stevens, using Landsat data from the U.S. Geological Survey and MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)
Figure 9: Dozens of wildfires, including the largest tundra fire on record for the Yukon, are burning across the state. In this detailed image, acquired by the Operational Land Imager (OLI) on Landsat-8, smoke is billowing from the East Fork fire and the Apoon Pass fire, which has burned about 15,000 acres (image credit: NASA Earth Observatory)
Figure 9: Dozens of wildfires, including the largest tundra fire on record for the Yukon, are burning across the state. In this detailed image, acquired by the Operational Land Imager (OLI) on Landsat-8, smoke is billowing from the East Fork fire and the Apoon Pass fire, which has burned about 15,000 acres (image credit: NASA Earth Observatory)

• June 8, 2022: The Gulf of Maine is growing warmer and saltier, and those changes have led to a substantial decrease in the productivity of phytoplankton that are the center of the marine food web. Specifically, phytoplankton in the gulf are now about 65 percent less productive than they were two decades ago, scientists from Bigelow Laboratory for Ocean Sciences reported in research published on June 7, 2022. 8) The Gulf of Maine supports New England’s marine ecosystems and economy, with phytoplankton playing a vital role in absorbing carbon dioxide and fueling the food web. Disruptions to their productivity can impact fisheries and coastal communities. Research published in 2021 revealed that the Gulf is warming faster than most ocean basins, affecting phytoplankton. A 23-year study, the Gulf of Maine North Atlantic Time Series (GNATS), tracks changes in temperature, salinity, and other properties, highlighting the Gulf's connection to the Atlantic. Since 1998, Bigelow Laboratory has monitored biogeochemical changes using water samples from ferries, research vessels, and autonomous gliders. These measurements validate satellite data and address gaps from cloudy or foggy days. NASA satellites like Aqua and Terra collect ocean colour data, and the upcoming Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission will enhance observations. The GNATS dataset is publicly available via NASA’s repository.

Figure 10: The natural-color image shows the northwest Atlantic Ocean blooming with phytoplankton on June 5, 2022, as observed by the Moderate Resolution Imaging Spectroradiometer on NASA’s Aqua satellite (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Roberto Molar-Candanosa, NASA’s Earth Science News Team)
Figure 10: The natural-colour image shows the northwest Atlantic Ocean blooming with phytoplankton on June 5, 2022, as observed by MODIS on NASA’s Aqua satellite (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Roberto Molar-Candanosa, NASA’s Earth Science News Team)

Figure 11: The Gulf of Maine is growing increasingly warm and salty, due to ocean currents pushing warm water into the gulf from the Northwest Atlantic, according to a new NASA-funded study. (video credit: NASA Goddard)

 

• June 4, 2022: Early summer blooms coloured the seas off of southern Wales and southwestern England when NASA’s Aqua satellite passed over the region on June 3, 2022. Bright blue-green waters indicated an abundance of phytoplankton just beyond Bristol Channel. 9) Phytoplankton are usually most abundant in the far North Atlantic and the North Sea in late spring and early summer, when dissolved nutrient levels are high. The milky, light-coloured waters are likely filled with coccolithophores, phytoplankton with calcium carbonate plates that appear chalky white when amassed in great numbers. Greener patches may be rich with diatoms. The Bristol Channel is the largest natural inlet of the United Kingdom. Freshwater from the River Severn (the UK’s longest) pours into an estuary here and mixes sediment and nutrients into the saltwater. In a recent study by Plymouth University, scientists reported that the types and abundances of plankton in the waters around the United Kingdom have changed significantly in the past six decades. The shifts are likely related to climate change—particularly warming temperatures—and could have long-term effects on the health and distribution of fish, marine mammals, and sea birds in the region. 10)

Figure 12: Hints of a bloom here first appeared in mid-May, as revealed by two weeks of data from the MODIS instrument on Aqua. (The waters off the southwest coast of Ireland have also been blooming.) The various swirls and shapes in the bloom trace the movements of currents, eddies, and tides (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Michael Carlowicz, with reporting from Joanna Howl, NASA MODIS team)
Figure 12: Hints of a bloom here first appeared in mid-May, as revealed by two weeks of data from the MODIS instrument on Aqua. (The waters off the southwest coast of Ireland have also been blooming.) The various swirls and shapes in the bloom trace the movements of currents, eddies, and tides (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Michael Carlowicz, with reporting from Joanna Howl, NASA MODIS team)

Figure 13: Phytoplankton fuel ocean life by feeding other plankton, fish, and ultimately bigger creatures. This video explores the diversity of phytoplankton in the oceans and shows why these plant-like organisms play such a crucial role in life on Earth. In some of the images, color-filtering techniques (video credit: NASA Earth Observatory)

 

• May 18, 2022: Since the beginning of April 2022, Iraq and other parts of the Middle East had been hit by a series of severe dust storms. Two major storms in the past two weeks have sent thousands of people to the hospital, as poor air quality from airborne dust can aggravate asthma and other respiratory diseases. 11) The skies above Baghdad, Najaf, Sulaimaniyah, and other cities turned orange as visibility dropped to a few hundred meters. Several airports were closed during the dust events, and schools were closed nationwide. Dust storms in Iraq are most common in late spring and summer, provoked by seasonal winds such as the “shamal” that blows in from the northwest. Researchers suggested in a 2016 paper that La Niña conditions in the equatorial Pacific can lead to an earlier onset of shamal winds. Recent observations suggest that La Niña may be persisting into a third consecutive year. Those strong seasonal winds blow across abundant sources of dust. According to The World Bank, northern Iraq—between the Tigris and Euphrates rivers—has the highest density of dust sources in the Middle East.  News media reported that Iraq has been hit by at least eight dust storms in the past six weeks. Researchers have found that dust events have become more frequent in Iraq.

Figure 14: The natural-color images on this page were acquired with the MODIS instruments on NASA’s Terra and Aqua satellites. This image above was captured by Aqua MODIS on May 16, 2022 (image credit: NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Michael Carlowicz)
Figure 14: The natural-colour images on this page were acquired with the MODIS instruments on NASA’s Terra and Aqua satellites. This image above was captured by Aqua MODIS on May 16, 2022 (image credit: NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Michael Carlowicz)
Figure 15: At least eight major events have darkened skies and sickened people in the past six weeks. This image comes from Terra MODIS on May 5 (image credit: NASA Earth Observatory)
Figure 15: At least eight major events have darkened skies and sickened people in the past six weeks. This image comes from Terra MODIS on May 5 (image credit: NASA Earth Observatory)

• May 14, 2022: The Calf Canyon-Hermits Peak fire continued to rage across northern New Mexico in mid-May 2022, entering its second month. On May 13, it was the largest fire burning in the United States and the second largest in New Mexico’s history. 12) The burned area spanned more than 270,000 acres east of Santa Fe and stretched 50 miles (80 km) from its northern to southern perimeter in the Sangre de Cristo mountains. Evacuation orders remained in effect in San Miguel, Moro, and Colfax counties, and have been expanded into the ski resort town of Angel Fire. Extremely low humidity and high winds helped spread the fire through dry grass, brush, and trees.  Researchers at the Cooperative Institute for Meteorological Satellite Studies measured a cloud-top temperature of -59°C (-75°F). This indicated that the cloud had reached the tropopause, the boundary between the troposphere and the stratosphere at an altitude of about 12 km. Most of the state continues to experience extreme to exceptional drought in the midst of the Southwest megadrought. New Mexico has had 244 fires by that point in the year, burning more than 360,000 acres, according to the National Interagency Fire Center.

Figure 16: A massive, early season wildfire that continues to burn. On May 10, 2022, the northern part of the fire produced a pyrocumulonimbus cloud (pyroCb). These vertical plumes, generated by the heat from a wildfire, can loft smoke and particulates high into the stratosphere. The pyroCb can be seen in the above natural-color image, which was acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua satellite on May 10 (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt.
Figure 16: A massive, early season wildfire that continues to burn. On May 10, 2022, the northern part of the fire produced a pyrocumulonimbus cloud (pyroCb). These vertical plumes, generated by the heat from a wildfire, can loft smoke and particulates high into the stratosphere. The pyroCb can be seen in the above natural-colour image, which was acquired by MODIS on NASA’s Aqua satellite on May 10 (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt.
Figure 17: This false-color image was acquired on May 12, 2022, by MODIS-Aqua. The use of shortwave infrared and visible light (bands 7-2-1) shows the burn scars (in red) from three major fires burning in northern New Mexico. The largest scar, in the center of the image, is from the Calf Canyon-Hermits Peak fire. To the west of Santa Fe is the Cerro Pelado burn scar. The scar to the northeast is from the Cooks Peak fire (image credit: NASA Earth Observatory)
Figure 17: This false-colour image was acquired on May 12, 2022, by MODIS-Aqua. The use of shortwave infrared and visible light (bands 7-2-1) shows the burn scars (in red) from three major fires burning in northern New Mexico. The largest scar, in the center of the image, is from the Calf Canyon-Hermits Peak fire. To the west of Santa Fe is the Cerro Pelado burn scar. The scar to the northeast is from the Cooks Peak fire (image credit: NASA Earth Observatory)

• May 6, 2022: As another winter ends with the U.S. West still in the grip of the worst megadrought in 1,200 years, scientists and water managers are looking at the state of the snowpack. Mountain snowpack is a natural reservoir: As it melts out over the course of the spring and summer, it provides a steady supply of water for millions of people who rely upon it for agriculture, industry, and municipal and residential use. 13) 14) To forecast water supplies for the coming year, hydrologists and water managers rely on measurements of snowpack, particularly the snow water equivalent (SWE), a measure of how much liquid water is stored within snow. In the western U.S., snowpacks usually peak around April 1. Assessment of the snowpack on this date has traditionally been used to help predict streamflows, reservoir storage levels, and potential wildfire conditions for the rest of the year. While satellites can show where snow is, they cannot yet directly measure snow depth or snow water equivalents. Measurements of snow have been made manually since the early 1900s. In the late 1970s, automated ground-based monitoring began with the SNOTEL network which has used over 900 automated stations in remote, high-elevation watersheds to monitor snowpack, precipitation, and climate conditions. However, SNOTEL data represents narrow locations, requiring extrapolation to estimate snowpack across broader areas.

Figure 18: This Aqua map shows SWE in the Rocky Mountain region on April 1, 2022, as modeled by the INSTAAR team and compared to the long-term average (image credit: NASA Earth Observatory images by Joshua Stevens and Lauren Dauphin, using data courtesy of Leanne Lestak/University of Colorado-INSTAAR, the USDA Natural Resources Conservation Service (Story by Sara E. Pratt)
Figure 18: This Aqua map shows SWE in the Rocky Mountain region on April 1, 2022, as modeled by the INSTAAR team and compared to the long-term average (image credit: NASA Earth Observatory images by Joshua Stevens and Lauren Dauphin, using data courtesy of Leanne Lestak/University of Colorado-INSTAAR, the USDA Natural Resources Conservation Service (Story by Sara E. Pratt)
Figure 19: The graph compares this water-year’s SWE (solid line) to the 1983–2022 median (dashed line) based on SNOTEL data for the Upper Colorado Basin above Lake Powell. The median peak for the entire data record is 15.7 inches—meaning half of the years had peak values above 15.7 inches and half had peaks below it. Peak SWE in this region has typically been reached between April 3–7. This year, the peak SWE of 13.3 inches was reached on March 18 and persisted until March 24, after which it started to decline (image credit: NASA Earth Observatory)
Figure 19: The graph compares this water-year’s SWE (solid line) to the 1983–2022 median (dashed line) based on SNOTEL data for the Upper Colorado Basin above Lake Powell. (image credit: NASA Earth Observatory)
Figure 20: The same area of Figure 5 is shown on 7 April 2022, in a natural-color image acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-NASA Suomi NPP satellite (image credit: NASA Earth Observatory)
Figure 20: The same area of Figure 5 is shown on 7 April 2022, in a natural-color image acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-NASA Suomi NPP satellite (image credit: NASA Earth Observatory)

- Most areas of the Colorado River Basin have Snow Water Equivalent (SWE) ranging from 46% to 95% of the 2000–2020 average, despite isolated high-SWE pockets. Data from NASA’s Terra satellite (MODIS) and models incorporating elevation, slope, and historical melting patterns inform these estimates. An April 18 report from the Colorado Basin River Forecast Center predicted near- to below-average water supply from April to July 2022. The Colorado River Basin spans 246,000 square miles, supplying water to tens of millions, including urban areas like Denver, Salt Lake City, and Los Angeles. Meltwater is stored in reservoirs like Lake Mead and Lake Powell, with Glen Canyon Dam providing hydropower to 5 million people.

• May 5, 2022: On April 13, a blizzard dropped 4 feet of snow on Minot, North Dakota, as a drought-fueled wildfire burned in Ruidoso, New Mexico, and severe storms spawned eight tornadoes in Kentucky. NASA’s Atmospheric Infrared Sounder (AIRS) helped weather forecasters predict these events, as it’s been doing since it was launched in 2002. But now AIRS also helps researchers calculate the role climate change plays in these extreme weather events. 15) AIRS measures infrared – heat – radiation from the air below the satellite to create three-dimensional maps of atmospheric temperature and water vapour, the main ingredients for any kind of weather.

Figure 21: NASA’s AIRS instrument tracked a record-breaking heat wave as it intensified in the Pacific Northwest last June. AIRS remains a vital resource for weather forecasting, and 20 years after launch it has also become a resource for understanding the role of climate change in weather events like this (video credit: NASA/JPL-Caltech)

Figure 22: Launched in 2002 aboard NASA’s Aqua satellite, AIRS creates 3D maps of air and surface temperature, water vapour, and cloud properties. Its data forms a “fingerprint” of the state of the atmosphere for a given time and place, contributing to climate data for future generations (video credit: NASA/JPL-Caltech)

 

- The AIRS instrument is a spectrometer that breaks radiation into wavelengths, just as a prism does. Researchers recently used AIRS data to detect atmospheric waves from the eruption of the Hunga Tonga-Hunga Ha’apai volcano. Earlier this year, researchers also used AIRS data to quantify the link between humidity and influenza outbreaks. In addition, AIRS data is used to track clouds, carbon dioxide, methane, ozone, and other gases and pollutants whose spectral signatures fall within the range of infrared wavelengths AIRS detects.

• May 4, 2022: Early season wildfires continued to rage in the first week of May 2022 in northern New Mexico. The blazes have been driven by high winds, low humidity, and exceptionally dry tinder—grass, brush, and timber—that are providing ample fuel for burning. The fires have destroyed hundreds of structures and prompted the evacuation of thousands of homes. On May 3, 2022, seven large fires were still burning across the state. 16) According to the U.S. Drought Monitor on April 26, 2022, approximately 99 percent of the state was experiencing drought, with 83 percent facing extreme to exceptional dryness. New Mexico has had 211 fires so far this year, burning a total of 230,000 acres. In all of 2021, 672 fires burned nearly 124,000 acres, according to the National Interagency Fire Center. MODIS sensors have also imaged burn scars from the New Mexico fires. Many NASA satellites and instruments are used to detect actively burning fires, track the transport of smoke, provide information for fire managers, and map the extent and severity of burn scars. Satellites are often the first to detect wildfires in remote regions.

Figure 23: The natural-color image above was acquired on May 3 by the MODIS instrument on NASA’s Aqua satellite (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)
Figure 23: The natural-color image above was acquired on May 3 by the MODIS instrument on NASA’s Aqua satellite (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)

• May 2, 2022: A dust storm over the Middle East in late April 2022 was triggered by thunderstorms that also brought hail and flash floods. The dust turned skies yellow, reduced visibility, disrupted aviation, and degraded air quality. 17) In Jordan, low-visibility conditions caused by gusting winds carrying dust and sand disrupted aviation. Heavy thunder and hail showers and flash flooding also prompted emergency alerts. In Saudi Arabia, large hail and thunderstorms caused flash flooding. The storm arose due to an Red Sea depression. Also called a Red Sea low, this weather system brings a hot air mass from the Arabian Peninsula, increasing atmospheric instability that triggers thunderstorms and dust storms, usually during the spring and autumn. In Jordan, most spring dust storms occur in April and form when strong winds blowing over dry, desert soils in eastern and southern Jordan become hotter and drier, According to a World Bank report on sand and dust storms, land-use changes in the past few decades have increased the number of dust sources in the Middle East.

Figure 24: A dust storm over the Eastern Mediterranean was accompanied by thunderstorms that also brought hail and flash floods. The dust is visible drifting over the eastern Mediterranean in this image, acquired on April 24 by the MODIS instrument on NASA’s Aqua satellite (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)
Figure 24: A dust storm over the Eastern Mediterranean was accompanied by thunderstorms that also brought hail and flash floods. The dust is visible drifting over the eastern Mediterranean in this image, acquired on April 24 by the MODIS instrument on NASA’s Aqua satellite (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)

• April 28, 2022: A few times every spring, the skies over the Labrador Sea fill with row after row of long, parallel bands of cumulus clouds. The organisation of these clouds, known as cloud streets, was on full display when this image was acquired on April 19, 2022. 18) The appearance of cloud streets indicates that strong, cold winds were blowing toward the southeast over comparatively warmer water. There is also enough open water from which that air can draw moisture and form clouds. The pattern is the result of the ice-chilled air being warmed by the ocean surface and forming strong currents of upward moving air, or thermals. The moist air rises until it hits a temperature inversion, which acts like a cap and causes the air to roll over and form parallel cylinders of rotating air. On the upper side of these cylinders (the rising air), clouds form. Along the downward side (descending air), skies are clear. In research published in November 2021, scientists found that burned acreage from wildfires in the western United States doubled between the period of 1984–2000 and 2001–2018. They attributed the increase in fire to a significant change in the vapour pressure deficit, a measurement of how hot and dry the atmosphere can get. 20)

Figure 27: These images provide three satellite views of the area near Santa Fe on April 23. The natural-color and false-color (shortwave infrared and visible light, bands 7-2-1) images were acquired by the MODIS instrument on NASA’s Aqua satellite. The false-color view makes it easier to distinguish the burn scar on the landscape. The nighttime view was acquired around 2 a.m. local time on April 23 with the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-NASA Suomi NPP satellite (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and the Suomi National Polar-orbiting Partnership (SuomiNPP). Story by Michael Carlowicz)
Figure 25: These images provide three satellite views of the area near Santa Fe on April 23. The natural-colour and false-colour (shortwave infrared and visible light, bands 7-2-1) images were acquired by the MODIS instrument on NASA’s Aqua satellite. The false-colour view makes it easier to distinguish the burn scar on the landscape. The nighttime view was acquired around 2 a.m. local time on April 23 with the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-NASA Suomi NPP satellite (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and the Suomi National Polar-orbiting Partnership (SuomiNPP). Story by Michael Carlowicz)

• April 19, 2022: Only half of the citizens of Ethiopia had access to electricity, a lower percentage than most other countries in Africa and a much lower percentage than most other countries in the world. To change this, the Ethiopian government began constructing a dam on the Blue Nile in 2011 that will rank as Africa’s largest hydroelectric dam when completed in 2023. 21) The Grand Ethiopian Renaissance Dam (GERD), a 145-meter (475-foot) concrete structure with three spillways and 13 turbines, will create a 1,874 km² (724 square mile) reservoir—about the size of Houston, Texas. Once operational, GERD is expected to more than double Ethiopia's electricity output, illuminating a country where much of the population lacks power, as seen in satellite images contrasting Ethiopia’s darkness with Egypt’s brightly lit Nile corridor, where World Bank data indicates that 100 percent of the population has access to electricity. GERD could also temper seasonal floods in Sudan, provide irrigation water to boost Ethiopia's food supply, and reduce sediment buildup in downstream dams.

Figure 29: Image of North-East Africa acquired with the MODIS instrument of NASA's Aqua mission in 2021 (image credit: NASA Earth Observatory images by Lauren Dauphin, using data from the Level-1 and Atmosphere Archive & Distribution System (LAADS) and Land Atmosphere Near real-time Capability for EOS (LANCE), Black Marble data from NASA/GSFC, and Landsat data from the U.S. Geological Survey. Story by Adam Voiland)
Figure 26: Image of North-East Africa acquired with the MODIS instrument of NASA's Aqua mission in 2021 (image credit: NASA Earth Observatory images by Lauren Dauphin, using data from the Level-1 and Atmosphere Archive & Distribution System (LAADS) and Land Atmosphere Near real-time Capability for EOS (LANCE), Black Marble data from NASA/GSFC, and Landsat data from the U.S. Geological Survey. Story by Adam Voiland)
Figure 30: Aqua image of March 27 2022 showing the farmland of Egypt along the riverbanks of the Nile (image credit: NASA Earth Observatory)
Figure 27: Aqua image of March 27 2022 showing the farmland of Egypt along the riverbanks of the Nile (image credit: NASA Earth Observatory)

• March 22, 2022: High winds, low humidity, and drought-parched grasses fueled a rash of wildfires in Texas, Oklahoma, and Arkansas in mid-March 2022. According to the Texas A&M Forest Service, at least 178 wildfires have burned more than 108,000 acres across Texas in the past seven days, including one of the largest blazes (by area) in state history. At least three first responders have died in Texas and Oklahoma while responding to the fires. 24) About 125 miles west of Dallas, the Kidd Fire ignited on March 17 amid days of strong, dry winds. (This short time-lapse sequence shows dust and clouds caught up in the winds.) More than 42,000 acres (65 square miles) have burned so far in a fire that is about 40 percent contained. At least 147 homes and structures have been consumed, including most of the town of Carbon. The Kidd Fire is one of seven that have been grouped into the Eastland Complex by firefighting agencies; more than 54,000 acres (84 square miles) of wildland and property have burned near the town of Eastland.

Figure 33: More than 100,000 acres have burned in a mid-March wildfire outbreak. On March 20, 2022, the MODIS instrument on NASA’s Aqua satellite acquired images of fires scattered across the Southern Plains of the United States. The natural-color image above is overlaid with red boxes indicating locations where MODIS detected heat signatures indicative of fire (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and data from the Fire Information for Resource Management System (FIRMS). Story by Michael Carlowicz)
Figure 28: More than 100,000 acres have burned in a mid-March wildfire outbreak. On March 20, 2022, the MODIS instrument on NASA’s Aqua satellite acquired images of fires scattered across the Southern Plains of the United States. The natural-colour image above is overlaid with red boxes indicating locations where MODIS detected heat signatures indicative of fire (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and data from the Fire Information for Resource Management System (FIRMS). Story by Michael Carlowicz)
Figure 34: This false-color image combines visible and shortwave infrared light (MODIS bands 7,2,1). Active fires appear orange; burn scars are brown; unburned vegetation is green; lakes and reservoirs are navy blue; and developed areas are gray (image credit: NASA Earth Observatory)
Figure 29: This false-colour image combines visible and shortwave infrared light (MODIS bands 7,2,1). Active fires appear orange; burn scars are brown; unburned vegetation is green; lakes and reservoirs are navy blue; and developed areas are gray (image credit: NASA Earth Observatory)

• February 28, 2022: Bolivia’s Salar de Uyuni is the largest salt flat (or playa) in the world. For much of the year, it stretches out in a seemingly endless expanse of white, with a salt crust covering 10,000 km2 (4,000 square miles). During the rainy season, water can fill part of the salt flat and give it a stunning, mirror-like appearance. In early 2022, that watery mirror grew larger and lingered longer than it has in several years. 25) Abundant rainfall around the Altiplano in November, December, and early January had the Salar de Uyuni brimming with water nearly to its edges. In fact, local newspapers reported flooding in some areas and temporary prohibitions on travel across the salar during the busy tourist season. Salar de Uyuni is rich in minerals—especially lithium (used in batteries), halite (common table salt), and ulexite and gypsum (for fertiliser and plaster)—some of which have been harvested here since at least the 1600s. The flat landscape draws many tourists who come to see the salty crust in the dry season and the mirror lakes in the wet season. The salt flat is also popular with remote sensing scientists, who use the landscape to calibrate satellite imagers and altimeters.

Figure 35: This false-color image was acquired by NASA’s Aqua satellite on August 22, 2021, using the MODIS instrument. The image is composed from a combination of visible light, near-infrared, and shortwave infrared (MODIS bands 7-2-1) to better distinguish standing water (blue and dark blue) from clouds (white) and the salt flats (shades of teal), image credit: NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey and NASA Earth Observatory image by NAME, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Michael Carlowicz
Figure 30: This false-colour image was acquired by NASA’s Aqua satellite on August 22, 2021, using the MODIS instrument. The image is composed from a combination of visible light, near-infrared, and shortwave infrared (MODIS bands 7-2-1) to better distinguish standing water (blue and dark blue) from clouds (white) and the salt flats (shades of teal), image credit: NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey and NASA Earth Observatory image by NAME, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Michael Carlowicz
Figure 36: This false-color image was acquired with MODIS on NASA's Terra satellite on February 19, 2022.The image is composed from a combination of visible light, near-infrared, and shortwave infrared (MODIS bands 7-2-1) to better distinguish standing water (blue and dark blue) from clouds (white) and the salt flats (shades of teal), image credit: NASA Earth Observatory
Figure 31: This false-colour image was acquired with MODIS on NASA's Terra satellite on February 19, 2022.The image is composed from a combination of visible light, near-infrared, and shortwave infrared (MODIS bands 7-2-1) to better distinguish standing water (blue and dark blue) from clouds (white) and the salt flats (shades of teal), image credit: NASA Earth Observatory

• February 13, 2022: Tropical Cyclone Batsirai swept over the Indian Ocean and into central and southern Madagascar on February 5–6, 2022, bringing torrential rain, flooding, and high winds. The storm devastated entire villages, killing at least 120 people and leaving tens of thousands displaced, according to the country’s Office of Risks and Disasters. 26) The cyclone came just two weeks after the island nation was struck by Tropical Storm Ana, which followed a series of heavy rainstorms in mid-January. Flooding and landslides killed at least 58 people and displaced more than 70,000. Batsirai made landfall on February 5 on the southeast coast near Mananjary as a category 3 storm with sustained winds of 165 km (105 miles) per hour and gusts up to 230 km (145 miles) per hour. Heavy rain continued to fall on February 7–8 as the storm moved over the island and off to the southwest. In its wake, Batsirai left water and power outages, along with destroyed or damaged buildings and schools. Relief efforts were underway, although washed out roads and bridges have made some areas inaccessible, according to the United Nations Office for the Coordination of Humanitarian Affairs.

Figure 39: Flooding was visible on February 10 (right) when the MODIS instrument on NASA’s Aqua satellite passed over. In this comparison of false-color imagery, which uses MODIS bands 7-2-1, areas flooded with sediment-laden water appear blue. The flooding is particularly visible around the cities of Manakara, Farafangana, and Vangaindrano, which lie south of Mananjary. The same area is shown on January 30, between recent storms (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)
Figure 32: Flooding was visible on February 10 (right) when the MODIS instrument on NASA’s Aqua satellite passed over. In this comparison of false-colour imagery, which uses MODIS bands 7-2-1, areas flooded with sediment-laden water appear blue. The flooding is particularly visible around the cities of Manakara, Farafangana, and Vangaindrano, which lie south of Mananjary. The same area is shown on January 30, between recent storms (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)

• February 1, 2022: After several mostly uneventful months of winter, the densely populated northeastern United States was buried in mounds of snow and blasted by gale-force winds on January 28-29, 2022. Twelve states from North Carolina to Maine received measurable snowfall from the nor’easter; eight of them had towns report more than a foot (30 cm) of snow. 27) Due to the moderating effect of warmth and moisture from the ocean, coastal areas often see less snow during winter storms. But in this case heavy snowfalls were brought to the New Jersey shore, Long Island, and coastal New England. According to National Weather Service (NWS) reports snow fell at rates of 3–4 inches per hour, with totals exceeding 21 inches in Providence, Rhode Island; 29 inches in Norton, Massachusetts; 30 inches in Quincy; and 22 inches in Norwich, Connecticut. Boston tied its record for 24-hour snowfall at 23.6 inches, while Islip, New York, recorded its second-highest daily total of 23.2 inches. The storm also brought near-hurricane-force winds, with blizzard conditions confirmed in parts of Rhode Island and Massachusetts, impacting 11 million people.

 

Figure 40: The combination of fierce winds and abundant snow forced the cancellation of nearly all airplane and train travel in the region. More than 100,000 people lost electricity during the storm, though nearly all had the lights back on by the morning of January 31. The MODIS instrument on NASA’s Aqua satellite acquired a natural-color view as people shoveled their way out on January 30, 2022 (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Photograph by Adrian Loftus, NASA GSFC. Story by Michael Carlowicz with Sofie Bates, NASA Earth Science News Team)
Figure 33: The combination of fierce winds and abundant snow forced the cancellation of nearly all airplane and train travel in the region. The MODIS instrument on NASA’s Aqua satellite acquired a natural-colour view as people shoveled their way out on January 30, 2022 (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Photograph by Adrian Loftus, NASA GSFC. Story by Michael Carlowicz with Sofie Bates, NASA Earth Science News Team)
Figure 41: While millions of people hunkered down below, a small team of NASA-funded scientists flew over and into the storm to make measurements and better understand the evolution of winter storms. The multi-year Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Storms (IMPACTS) mission is the first comprehensive study of snowstorms across the Eastern United States in nearly 30 years. The science team includes researchers from NASA, several universities, the National Center for Atmospheric Research, and the National Oceanic and Atmospheric Administration (NOAA). NASA scientist Adrian Loftus shot several photos (above and below) in the late afternoon on January 29 while serving as mission scientist on NASA’s P-3 Orion research plane (photo credit: NASA Earth Observatory)
Figure 34: While millions of people hunkered down below, a small team of NASA-funded scientists flew over and into the storm to make measurements and better understand the evolution of winter storms. (photo credit: NASA Earth Observatory)

• January 29, 2022: The Gulf of Khambhat lies on the west coast of India between the Saurashtra Peninsula and mainland Gujarat. Several major river systems—including the Narmada, Tapi, Mahi, Sabarmati, and Shetrunji—deliver abundant freshwater and heavy sediment loads to the gulf. The gulf measures 80 km (50 miles) wide at its mouth in the Arabian Sea but narrows to about 25 km (15 miles) at its head, where the deltas of the Sabarmati and Mahi rivers meet. 28) Natural-colour images from NASA’s Aqua satellite on April 16 and October 16, 2021, show sediment discharge concentrated at the northern end of the gulf. The monsoon season (June–September) increases sediment discharge, evident in the October image, where sediment reflectivity shifts from brown to green as freshwater disperses and sinks. Strong tides dominate the gulf, flowing at 1.5 to 2 m/s (3.3 to 4.5 mph). With depths under 20 meters (65 feet) in most areas, receding tides expose intertidal zones up to 5 km (3 miles) wide. Extensive mudflats, shoals, and banks make navigation hazardous, as seen in the April image. Dynamic water flows rapidly alter the gulf’s bathymetry, posing additional navigation risks. This has prompted some researchers to develop a bathymetry model based on satellite radar data to enable quicker updates to navigation charts.

Figure 42: This image was acquired on 16 October 2021. The Gujarat coast experiences the highest tides anywhere along the Indian coastline, and the funnel shape of the 145-km (90-mile) long Gulf of Khambhat amplifies them. As incoming tides are constricted by the narrowing gulf, they increase in height. At Bhavnagar, the maximum neap tide height is 10 meters (33 feet) while the maximum spring tide height is 11.6 meters (38 feet)—some of the largest tidal ranges in the world (image credit: NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)
Figure 35: This image was acquired on 16 October 2021. The Gujarat coast experiences the highest tides anywhere along the Indian coastline, and the funnel shape of the 145-km (90-mile) long Gulf of Khambhat amplifies them.  (image credit: NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Sara E. Pratt)
Figure 43: This image was acquired on 16 April 2021. High tides and strong currents keep sediment on the move in India’s Gulf of Khambhat (image credit: NASA Earth Observatory)
Figure 36: This image was acquired on 16 April 2021. High tides and strong currents keep sediment on the move in India’s Gulf of Khambhat (image credit: NASA Earth Observatory)

• January 15, 2022: For much of 2021, drought affected southern Iran, parching crops, drying wells, and fueling protests over water. The first week of 2022 brought the opposite problem—a series of potent rain and snow storms overwhelmed rivers and unleashed widespread flooding. 29) News and social media reports showed destructive flood waters that washed out bridges, swept away cars, swamped homes, and inundated farmland. The floods killed at least 10 people and damaged hundreds of homes and vehicles, according to the Iranian Red Crescent Society. The recent burst of rain will not necessarily end Iran’s drought or water challenges immediately. While storms can replenish moisture on the surface, it takes a sustained period of wet weather to replenish groundwater, which many people in this region rely on for irrigation. Data collected by the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellites show that reserves of shallow groundwater in the region’s aquifers, though improved, were still low in some parts of southern Iran on January 10, 2021, according to GRACE-FO data published by the University of Nebraska.

Figure 44: The MODIS instrument on NASA’s Aqua satellite captured imagery of flooding in southern Iran on January 7, 2022. After months of severe drought, a burst of rain is causing problems (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Adam Voiland)
Figure 37: The MODIS instrument on NASA’s Aqua satellite captured imagery of flooding in southern Iran on January 7, 2022. After months of severe drought, a burst of rain is causing problems (image credit: NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Adam Voiland)
Figure 45: For comparison, this image shows the same area on December 14, 2021, before the storms hit. The images are false color, using a combination of visible and shortwave infrared light (bands 7-2-1) to make it easier to distinguish between land and water. Dry land appears brown; vegetated areas are green. Areas covered by water are dark blue (image credit: NASA Earth Observatory)
Figure 38: For comparison, this image shows the same area on December 14, 2021, before the storms hit. The images are false color, using a combination of visible and shortwave infrared light (bands 7-2-1) to make it easier to distinguish between land and water. Dry land appears brown; vegetated areas are green. Areas covered by water are dark blue (image credit: NASA Earth Observatory)

• January 13, 2022: Beachgoers in the Brazilian state of Rio de Janeiro contended in late 2021 with unwelcome ocean-dwelling visitors. Starting in November, countless microscopic phytoplankton amassed along the coast, colouring the clear, blue waters a dark, reddish-brown. The bloom—known as a red tide or harmful algal bloom (HAB) event—was unusually widespread and long-lived. 30) Phytoplankton blooms are common near Rio during this season and usually benefit the ecosystem. Harmful algal blooms, however, can occur year-round, driven by sewage and heat waves, though they are typically short-lived. This red tide, spanning over 200 km and lasting eight weeks, was an exception.

- From September to January, upwelling near Arraial do Cabo brings nutrient-rich waters that fuel phytoplankton blooms, turning Rio’s blue waters green. In spring 2021, prolonged clouds and rain delayed diatom growth, leaving clear, nutrient-rich waters. When sunlight returned in November, ideal conditions triggered the red tide. It was first observed on November 3 and confirmed by water samples on November 16. The waters darkened rapidly, with red seafoam accumulating along Rio’s beaches. By early December, satellite images showed the bloom spanning the coast from Rio to Arraial do Cabo. After the phytoplankton die, the process of decomposition by bacteria can deplete the water of oxygen (hypoxia) and cause fish kills. Also, the red tide species can replace other phytoplankton species that usually support a region’s fish and marine food webs.

Figure 46: A dark, rainy spring gave way to a vast, long-lived phytoplankton bloom off the coast of Brazil. By late December, the bloom was fading but remained visible to the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua satellite, which acquired these images on December 26, 2021. The bloom shows up in the natural-color image (Figure 46) as a faint, dark swirl of water extending away from the coast. An even fainter patch is visible to the left of the swirl. The bloom is more distinct in the false-color image (Figure 47). In this view, shades of green depict concentrations of chlorophyll-a, the primary pigment used by phytoplankton to capture sunlight. The darkest shades of green show areas with the greatest chlorophyll concentrations (image credit: NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Kathryn Hansen)
Figure 39: A dark, rainy spring gave way to a vast, long-lived phytoplankton bloom off the coast of Brazil captured by MODIS on NASA’s Aqua satellite, which acquired these images on December 26, 2021. The bloom shows up in the natural-colour image as a faint, dark swirl of water extending away from the coast. An even fainter patch is visible to the left of the swirl. (image credit: NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Kathryn Hansen)
Figure 47: False-color image of MODIS instrument of Aqua (image credit: NASA Earth Observatory)
Figure 40: False-colour image of MODIS instrument of Aqua. The bloom is more distinct in this false-colour image. In this view, shades of green depict concentrations of chlorophyll-a, the primary pigment used by phytoplankton to capture sunlight. The darkest shades of green show areas with the greatest chlorophyll concentrations (image credit: NASA Earth Observatory)

• January 5, 2022: On December 30, 2021, high winds roared out of the west and down the front slope of the Rocky Mountains in Colorado. Northwest of Denver, peak gusts reached 115 miles (185 kilometers) per hour—the equivalent of a category 3 hurricane. Those winds whipped up intense grass and brush fires in south Boulder and blew them east toward the towns of Superior and Louisville, igniting a firestorm. By the time it was over, nearly 1,100 houses had been destroyed or damaged, two people were reported missing, and thousands were displaced. 31) The Marshall Fire, at the time Colorado’s most destructive wildfire, burned 6,200 acres and was fully contained by January 3, 2022. Unlike typical Western megafires in forests, it spread rapidly into neighborhoods, becoming an urban conflagration. Hurricane-force winds created an “ember storm,” driving flames through streets, trees, and buildings, and forcing tens of thousands to evacuate.

- A cold front brought over 10 inches (25 cm) of snow, helping extinguish the fire but complicating the response. High winds and wildfires are not uncommon on the Front Range, but a December wildfire was; the normal fire season lasts from May to September. At the time, eastern Boulder County was under extreme drought, with Standardized Precipitation-Evapotranspiration Index (SPEI) values below minus 2, indicating severe warm and dry conditions. Meanwhile, western Colorado had near or above-average snowpack, highlighting a stark contrast in moisture levels across the state. Denver saw its first winter snowfall on December 10.

 

Figure 48: The natural-color image above was acquired just a few hours after the fire started on December 30 by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua satellite. At the time, the smoke plume—which was also visible on radar—stretched about 60 miles (100 kilometers) over Colorado’s eastern plains. The fire also generated its own weather: the rising heat created a low-pressure area that drew surface winds toward the fire from all directions (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and PRISM data courtesy of the West Wide Drought Tracker. Text by Sara E. Pratt)
Figure 41: The natural-colour image above was acquired just a few hours after the fire started on December 30 by MODIS on NASA’s Aqua satellite. At the time, the smoke plume—which was also visible on radar—stretched about 60 miles (100 kilometers) over Colorado’s eastern plains. (image credit: NASA Earth Observatory images by Joshua Stevens, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview, and PRISM data courtesy of the West Wide Drought Tracker. Text by Sara E. Pratt)
Figure 49: In 2021, Colorado saw an unseasonably warm summer and fall, coupled with record dryness. The warm, dry spell followed an unusually wet spring, which reduced wildfires through the summer and fueled the growth of vegetation—which then dried out and provided ample tinder for the December fire (image credit: NASA Earth Observatory)
Figure 42: In 2021, Colorado saw an unseasonably warm summer and fall, coupled with record dryness. The warm, dry spell followed an unusually wet spring, which reduced wildfires through the summer and fueled the growth of vegetation—which then dried out and provided ample tinder for the December fire (image credit: NASA Earth Observatory)

Sensor Complement

Aqua has six Earth-observing instruments on board, collecting a variety of global data sets. 32)

Note: The descriptions of CERES and MODIS can be found under Terra.

Instrument

Sponsor

Developer

Spectral resolution

Geophysical parameters

AIRS

NASA/JPL

BAE Systems

More than 2,300 spectral channels ranging from 0.4 µm to 15.4 µm

Atmospheric temperature and humidity, land and sea surface temperatures, cloud, radioactive energy flux

AMSR-E

JAXA

JAXA (Japan)

12 channels at six discrete frequencies from 6.9 GHz to 89 GHz

Precipitation rate, water vapour, surface moisture content, sea ice extent, snow extent

AMSU

NASA/GSFC

Aerojet

15 channels ranging from 50 GHz to 90 GHz

Atmospheric temperature and humidity

HSB

INPE

MMS, UK

Five channels ranging from 150 MHz to 183 MHz

Atmospheric humidity

CERES

NASA/LaRC

TRW

Cross-track and azimuthal scanners with three channels per scanner

Radiative energy flux

MODIS

NASA/GSFC

Raytheon (SBRS)

36 channels ranging from 0.4 µm to 14 µm

Cloud, radioactive energy flux, aerosols, land cover and land use change, vegetation dynamics, land surface temperature, sea surface temperature, ocean colour, snow cover, atmospheric temperature and humidity, sea ice

Table 1: Overview of sensor complement on the Aqua spacecraft

 

AIRS (Atmospheric Infrared Sounder)

AIRS is a NASA/JPL instrument, PI: M. T. Chahine; prime contractor is BAE Systems (Infrared and Imaging Systems Division (LMIRIS) of BAE Systems, in Lexington, MA). AIRS, along with AMSU and HSB, is of HIRS and MSU heritage flown on the NOAA POES series. Objective: High-spectral-resolution measurement of global temperature/humidity profiles in the atmosphere in support of operational weather forecasting by NOAA. Measurement of the Earth's upwelling infrared radiances in the spectral range of 3.74 - 15.4 µm, simultaneously at 2378 frequencies (bands). Four visible wavelength channels are also present. 33) 34) 35) 36) 37) 38) 39)

Figure 50: Photo of the AIRS instrument (image credit: NASA)
Figure 43: Photo of the AIRS instrument (image credit: NASA)

The AIRS spectrometer is a pupil imaging, multi-aperture echelle grating design that utilises a coarse 13 lines/mm grating at high orders (3-11) to disperse infrared energy across a series of detector arrays. The typical entrance slit of a spectrometer is subdivided into a series of eleven apertures, each of which is imaged onto the focal plane. The grating serves to spectrally disperse each image, which in turn is overlaid onto a HgCdTe detector array with each detector in the array viewing a unique wavelength by virtue of the grating dispersion. Rejection of overlapping grating orders and background photon suppression is provided by a series of IR bandpass filters located within the spectrometer and directly on the focal plane. Use of the grating in combination with the filter set provides a two-dimensional colour map on the focal plane with a high degree of design flexibility in terms of colour arrangement and spacing. Cooling of the spectrometer to 155 K is provided by a two stage passive radiator assembly with 10 Watt cooling capacity at 155 K.

Figure 51: Isometric view of the AIRS instrument (image credit: NASA/JPL)
Figure 44: Isometric view of the AIRS instrument (image credit: NASA/JPL)

Dispersed energy exiting the spectrometer is imaged onto a state-of-the-art hybrid PV/PC: HgCdTe focal plane assembly (FPA) consisting of a series of multi-linear arrays each associated with a specific entrance aperture. The assembly consists of 17 arrays arranged in 12 modules with each module individually optimised for wavelength and photon flux. The module set includes 10 photovoltaic (PV) modules covering the 3.7 - 13.7 µm region and 2 photoconductive (PC) modules for the 13.7 - 15.4 µm region. The more advanced PV modules include on-focal plane signal processing via a custom CMOS Readout IC (ROIC) specifically designed for AIRS temperature, photon flux and radiation conditions. The ROIC provides the first stage of signal integration at a 1.4 ms subsample rate, which are summed off focal plane in groups of 16 to meet full footprint dwell time requirements. The IR FPA provides simultaneous measurement of 2378 spectral samples across the 3.7 - 15.4 µm region with two samples per resolution element. Additionally, each PV sample is further divided by two in the cross-dispersed direction to provide increased yield and a measure of spectral redundancy. As a consequence, the IR FPA contains a total of 4482 active detectors. The complex FPA is packaged in a vacuum dewar maintained at the 155 K spectrometer operating temperature, with the IR FPA cooled to 58 K via a redundant, 1.5 W capacity Split Stirling pulse tube cryocooler.

Figure 52: Illustration of the FPA (Focal Plane Assembly), image credit: NASA/JPL)
Figure 45: Illustration of the FPA (Focal Plane Assembly), image credit: NASA/JPL)
Figure 53: The AIRS spectrometer assembly (image credit: NASA/JPL)
Figure 46: The AIRS spectrometer assembly (image credit: NASA/JPL)
Figure 54: AIRS scan assembly (image credit: NASA/JPL)
Figure 47: AIRS scan assembly (image credit: NASA/JPL)
Figure 55: Illustration of the cryocooler assembly (image credit: NASA/JPL)
Figure 48: Illustration of the cryocooler assembly (image credit: NASA/JPL)

The infrared region of 3.74-15.4 µm has a spectral resolution of 1200 (lambda/ delta lambda). The high spectral resolution permits the separation of unwanted spectral emissions and, in particular, provides spectrally clean “super windows,” ideal for surface observations. - This is supplemented by a VNIR photometer of four bands in the range between 0.4 and 1.0 µm. The VNIR channels are used to discriminate between low-level clouds and different terrain and surface covers, including snow and ice. The AIRS infrared bands have an IFOV of 1.1º and FOV = ± 49.5º scanning capability perpendicular to the spacecraft ground track (swath width = 1650 km, 13.5 km horizontal resolution in nadir, 1 km vertical). It takes 22.41 ms for each footprint of 1.1º in diameter (or 13.5 km). Each IR scan produces 90 footprints across the flight track and takes 2.67 s (see Figure 49). The VNIR channels have a footprint of 0.185º or about 2.3 km on the ground, nine VNIR footprints are within a 40 km swath. The VNIR photometer is boresighted to the spectrometer to allow simultaneous VNIR observations.

The VNIR photometer uses optical filters to define the four spectral bands. It operates at ambient temperatures (293-300 K). Inflight calibration is performed during each scan period. In addition, AIRS uses four independent cold-space views.

The major data products derived from AIRS are atmospheric temperature profiles, humidity profiles (from channels in the 6.3 µm water vapour band and the 11 µm windows, sensitive to the water vapour continuum), and land skin surface temperature.

AIRS is flown on the Aqua satellite with two operational microwave sounders: NOAA's AMSU and Brazil's HSB (Humidity Sounder Brazil). Together, the three sensors constitute constitute a possible advanced operational sounding system for future NOAA missions - offering increased accuracy of short-term weather predictions, improved tracking of severe weather events like hurricanes, and advances in climate research.

Instrument type

Multi-aperture, non-Littrow echelle array grating spectrometer configuration

Spectral coverage

3.74 - 15.4 µm for the array grating spectrometer (IR bands)
0.4 - 1.0 µm for photometer (4 VNIR bands at: 0.41-0.44, 0.58-0.68, 0.71-0.92, 0.49-0.94 µm)

Spectral resolution

1200 (lambda/delta lambda) array grating spectrometer, 2378 bands

Spatial resolution

13.5 km horizontal at nadir for IR bands (IFOV = 1.1º), 1 km vertical resolution, 2.3 km x 2.3 km for VNIR bands (IFOV = 0.185º)

IR detector cooling

Two-stage passive radiative cooler with retractable earth shield,

Swath width

1650 km (FOV= ± 49.5º) for IR bands; 40 km for VNIR bands

Instrument mass, power

177 kg, 220 W

Date rate, duty cycle

1.27 Mbit/s, 100%

Table 2: Overview of some AIRS parameters
Figure 56: Illustration of the AIRS scan geometry and coverage (image credit: NASA/JPL)
Figure 49: Illustration of the AIRS scan geometry and coverage (image credit: NASA/JPL)

Some AIRS results in 2010

The excellent sensitivity and stability of the AIRS instrument has recently allowed the AIRS team to successfully retrieve Carbon Dioxide (CO2) concentrations in the mid-troposphere (8-10 km) with a horizontal resolution of 100 km and an accuracy of better than 2 ppm. 40)

Originally designed to retrieve temperature and water vapour profiles for weather forecast improvement, the AIRS (Atmospheric Infrared Sounder) has become a valuable tool for the measurement and mapping of mid-tropospheric carbon dioxide concentrations. Several researchers have demonstrated the ability to retrieve mid-tropospheric CO2 from AIRS by different methods. The retrieval method selected for processing and distribution is called the method of “Vanishing Partial Derivatives” and results in over 15,000 CO2 retrievals per 24-hour period with global coverage and an accuracy better than 2 ppm.

The AIRS CO2 accuracy has been validated against a variety of mid-tropospheric aircraft measurements as well as upward looking interferometers (FTIR) from the ground.

Mid-tropospheric CO2 concentrations are an indicator for atmospheric transport and several interesting findings have resulted from analysis of the data.

- First is the non-uniformity of CO2, primarily caused by weather.

- Second is the ability to identify stratospheric-tropospheric exchange during a sudden stratospheric warming event.

- Third is the presence of a seasonally varying belt of enhanced CO2 concentrations in the Southern Hemisphere.

Figure 57: AIRS yields about 15,000 mid-tropospheric CO2 measurements per day (image credit: NASA/JPL)
Figure 50: AIRS yields about 15,000 mid-tropospheric CO2 measurements per day (image credit: NASA/JPL)

Carbon dioxide turns out to be an excellent tracer gas since it does not react with other gases in the atmosphere. The project is finding that the AIRS mid-tropospheric CO2 is a good indicator of vertical motion in the atmosphere. It is a known fact that the majority of atmospheric CO2 is produced and absorbed near the surface and that there are no sources or sinks in the free troposphere. Thus elevated levels of mid-tropospheric CO2 are the result of airflow into the mid-troposphere from the near surface.

The most obvious finding from the AIRS retrievals is that the distribution of CO2 is not uniform as indicated in the models. Strong latitudinal and longitudinal gradients exist particularly over the large land masses in the Northern Hemisphere. This phenomenon is referred to as “CO2 weather”. The large variability in atmospheric circulation due to convection and global and mesoscale transport is responsible for most of the variability seen in the AIRS data. This implies that the AIRS CO2 data will be extremely useful for validating global scale transport in GCMs (Global Circulation Models).

Figure 58: AIRS mid-tropospheric CO2 is a tracer for atmospheric motion particularly in the vertical direction. July, 2010 monthly average (image credit: NASA/JPL)
Figure 51: AIRS mid-tropospheric CO2 is a tracer for atmospheric motion particularly in the vertical direction. July, 2010 monthly average (image credit: NASA/JPL)

AMSU/HSB

AMSU/HSB (Advanced Microwave Sounding Unit (NASA Instrument)/ (Humidity Sounder for Brazil), provided by INPE. Both instruments operate in conjunction.

AMSU was designed and developed by Aerojet of Azusa, CA (a GenCorp company). AMSU primarily provides temperature soundings, whereas HSB provides humidity soundings. AMSU is a 15-channel microwave radiometer. AMSU and HSB have a total of 19 channels, 15 are assigned to AMSU, each having a 3.3º beamwidth, and four are assigned to HSB, each having a beamwidth of 1.1º. AMSU comprises two separate units: AMSU-A1 (channels 3-15), and AMSU-A2 (channels 1 and 2). Channels 3 - 14 use the 50 to 60 GHz oxygen band to provide data for vertical temperature profiles up to 50 km. The “window” channels (1, 2, and 15) provide data to enhance the temperature sounding by correcting for surface emissivity, atmospheric liquid water, and total precipitable water. HSB channels 17 - 20 use the 183.3 GHz water vapour absorption line to provide data for the humidity profile. 41) 42)

AMSU-A1 measures temperature profiles from the surface up to 50 km in 15 channels. Temperature resolution: 0.25 - 1.2 K. The AMSU-A1 instrument has two 15 cm diameter antennas (reflectors with momentum compensation), each with a 3.3º nominal IFOV at the half power points or FWHM (Full width Half maximum). Each antenna provides a cross-track scan of ±49.5º from nadir with a total of 30 Earth views (scan positions) per scan line. The total scan period is eight seconds. The footprint (resolution) at nadir is 40 km. The swath width is approximately 1690 km. Internal calibration is performed with internal warm loads and cold space.

AMSU-A2 has a single 28 cm diameter antenna (reflector without momentum compensation) with a 3.3º nominal IFOV. All other instrument/observation parameters are the same as those of AMSU-A1.

AMSU parameters: mass = 91 kg (49 kg for AMSU-A1, 42 kg for AMSU-A2); power = 101 W; data rate = 2.0 kbit/s; thermal control by heater, central thermal bus, radiator; thermal operating range= 0-20º C.

Sensor

Channel

Center Frequency (GHz)

Bandwidth (MHz)

Sensitivity NEΔT (K)

AMSU-A2
(2 channels)

1
2

23.8
31.4

280
180

0.3
0.3

AMSU-A1
(13 channels)

3
4
5
6
7
8
9
10
11
12
13
14
15

50.300
52.800
53.596± 0.115
54.400
54.940
55.500
57.290344 = Flo
Flo ± 0.217
Flo ± 0.3222, (±0.048)
Flo ± 0.3222, (±0.022)
Flo ±0.3222, (± 0.010)
Flo ±0.3222, (± 0.0045)
89.000

180
400
170
400
400
330
330
78
36
16
8
3
6000

0.4
0.25
0.25
0.25
0.25
0.25
0.25
0.4
0.4
0.6
0.8
1.2
0.5

HSB
(4 channels)

17
18
19
20

150.0
183.31±1.00
183.31±3.00
183.31±7.00

2000
1000
2000
4000

1.0
1.1
1.0
1.2

Table 3: Spectral parameters of the AMSU-A and HSB instruments
Figure 59: View of AMSU-A1 (left) and AMSU-A2 (right), image credit: Aerojet
Figure 52: View of AMSU-A1 (left) and AMSU-A2 (right), image credit: Aerojet

Parameter

AMSU-A1

AMSU-A2

Instrument size

72 cm x 34 cm x 59 cm

73 cm x 61 cm x 68 cm

Mass, power

49 kg, 72 W

42 kg

Data rate

1.3 kbit/s

0.4 kbit/s

Antenna size

15 cm (2 units)

31 cm (1 unit)

IFOV (Instantaneous Field of View)

3.3º

3.3º

Swath width

100º, 1650 km

100º, 1650 km

Pointing accuracy

0.2º

0.2º

No of channels

13

2

Table 4: Summary of AMSU instrument parameters

 

HSB (Humidity Sounder for Brazil)

HSB is an INPE-provided instrument of AMSU-B heritage (built by MMS (Matra Marconi Space) of Bristol, UK (now EADS Astrium Ltd) with participation of Equatorial Sistemas of Brazil), and sponsored by AEB (Brazilian Space Agency). HSB is a microwave radiometer with the objective to measure atmospheric radiation, to obtain atmospheric water vapour profile measurements and to detect precipitation under clouds with 13.5 km horizontal nadir resolution (humidity profiles for weather foresting). 43) 44) 45)

HSB is a four-channel self-calibrating instrument (passive sounder) providing a humidity profiling capability in the frequency range of 150 - 190 GHz, spanning the height from surface to about 42 km. The measured signals are also sensitive to a) liquid water in clouds (cloud liquid water content) and b) graupel and large water droplets in precipitating clouds (qualitative estimate of precipitation rate). HSB scans in the cross-track direction at a rate of 2.67 seconds in continuous mode. The instrument features a momentum-compensated scan mirror system. HSB is operated in combination with AMSU-A, they have a total of 19 channels: 15 are assigned to AMSU-A, each having a 3.3º beamwidth, and four assigned to HSB, each having a 1.1º beamwidth. The HSB receiver channels are configured to operate in DSB (Double Sideband).

The HSB collected valuable data for the first nine months of the mission but ceased operating in February 2003 (scanner anomaly).

Nr. of channels

4 (total), Ch 17 at 150 GHz, Ch 18: 183.31 ±1 GHz, Ch. 19: 183.31 ±3 GHz, and Ch 20: 183.31 ±7 GHz

Swath width, scan period

1650 km, 2.67 s

FOV

±49.5º cross track from nadir (+90º to -49.5º for calibration)

IFOV (spatial resolution)

1.1º (13.5 km at nadir)

Instrument pointing

Control = 3600 arcseconds, knowledge = 360 arcseconds,
stability = 74 arcseconds/s

Thermal control, operating range

Radiator, 13 - 35ºC

Instrument power

80 W average, 154 W peak

Instrument mass, size, data rate

51 kg, 70 cm x 65 cm x 46 cm, 4.2 kbit/s

Temperature accuracy (data profile)

1.0 - 1.2 K, coverage (twice daily) of land and ocean surfaces, resolution of 50 km (horiz.) and 1 km (vertical), up to 100 mb

Humidity accuracy (data profile)

20%, global coverage (twice daily), res. = 50 km, 1 km (vertical)

Radiance accuracy (data profile)

1-1.2 K, global coverage (twice daily), res. = 15 km (average)

Table 5: Specification of the HSB instrument
Figure 60: Photo of the HSB instrument (image credit: NASA)
Figure 53: Photo of the HSB instrument (image credit: NASA)

AMSR-E (Advanced Microwave Scanning Radiometer-EOS)

AMSR-E is a JAXA/NASA cooperative instrument, of AMSR heritage, built by Mitsubishi Electronics Corporation (PIs: A. Shibata, R. W. Spencer). The objective is the measurement of geophysical parameters such as: cloud properties, radiative energy flux, precipitation, land surface wetness (moisture), sea ice, snow cover, sea surface temperature (SST), and sea surface wind fields. AMSR-E is a modified design of AMSR on ADEOS-II (Japan).

The AMSR-E instrument is a conically scanning total power passive microwave radiometer sensing microwave radiation (brightness temperatures) at 12 channels and 6 frequencies ranging from 6.9 to 89.0 GHz (6.925, 10.65, 18.7, 23.8, 36.5, and 89.0 GHz). Horizontally and vertically polarised radiation are measured separately at each frequency. 46) 47) 48)

AMSR-E consists of an offset parabolic reflector 1.6 m in diameter, fed by an array of six feedhorns. The reflector and feedhorn arrays are mounted on a drum which contains the radiometers, digital data subsystem, mechanical scanning subsystem, and power subsystem. The reflector/feed/drum assembly is rotated about the axis of the drum by a coaxially mounted bearing and power transfer assembly. All data, commands, timing and telemetry signals, and power pass through the assembly on slip ring connectors to the rotating assembly. The AMSR-E instrument has a mass of 314 kg, power = 350 W, a duty cycle of 100%, and an average data rate of 87.4 kbit/s.

Center frequency (GHz)

6.925

10.65

18.7

23.8

36.5

89.0

Bandwidth (MHz)

350

100

200

400

1000

3000

Sensitivity (K)

0.3

0.6

0.6

0.6

0.6

1.1

IFOV (km x km) footprint

75 x 43

51 x 29

27 x 16

31 x 18

14 x 8

6 x 4

Sampling rate (km x km)

10 x 10

10 x 10

10 x 10

10 x 10

10 x 10

5 x 5

Integration time (ms)

2.6

2.6

2.6

2.6

2.6

1.3

Main beam efficiency (%)

95.3

95.0

96.3

96.4

95.3

96.0

Beamwidth (º)

2.2

1.4

0.8

0.9

0.4

0.18

Polarisation

Horizontal and Vertical

Incidence angle

55º

54.5º

Cross polarisation

< - 20 dB

Swath width

> 1450 km

Dynamic range

2.7 - 340 K

Data quantisation

12 bit

10 bit

Data rate

87.4 kbit/s

Antenna size, control unit

1.95 m x 1.7 m x 2.4 m, 0.8 m x 1.0 m x 0.6 m

Table 6: Performance parameters of AMSR-E
Figure 61: Schematic view of the AMSR-E instrument (image credit: NASA)
Figure 54: Schematic view of the AMSR-E instrument (image credit: NASA)
​​​​​​The AMSR-E instrument rotates continuously about an axis parallel to the local spacecraft vertical at 40 rpm. At an altitude of 705 km, it measures the upwelling scene brightness temperatures over an angular sector of ± 61º about the subsatellite track, resulting in a swath width of 1445 km. During a period of 1.5 seconds the S/C subsatellite point travels 10 km. Even though the IFOV for each channel is different, active scene measurements are recorded at equal intervals of 10 km (5 km for the 89 GHz channels) along the scan. The half cone angle at which the reflector is fixed is 47.4º which results in an Earth incidence angle of 55.0º.
Figure 62: Line drawing of the AMSR-E instrument (image credit: NASA)
Figure 55: Line drawing of the AMSR-E instrument (image credit: NASA)

Instrument calibration. The radiometer calibration accuracy budget, exclusive of antenna pattern correction effects, is composed of three major contributors: warm load reference error, cold load reference error, radiometer electronics nonlinearities and errors.

Some data products from AMSR-E are:

• Level 2A brightness temperatures

• Level 2 rainfall

• Level 3 rainfall

• Columnar cloud water over the oceans

• Columnar water vapour over the oceans

• Sea surface temperature (SST)

• Sea surface wind speed

• Sea ice concentration

• Sea ice temperature

• Snow depth on sea ice

• Snow-water equivalent on land

• Surface soil moisture

Figure 63: The Aqua spacecraft and instrument accommodations (image credit: NASA, JAXA)
Figure 56: The Aqua spacecraft and instrument accommodations (image credit: NASA, JAXA)

References


1) C. L. Parkinson, “Aqua: An Earth-Observing Satellite Mission to Examine Water and other Climate Variables,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No 2, Feb. 2003, pp. 173-183, Note: The entire issue is devoted to the EOS Aqua Mission.

2) http://aqua.nasa.gov/

3) http://www.nasa.gov/pdf/151986main_Aqua_brochure.pdf

4) Eric J. Fetzer, “Observing Clouds and Water Vapor with NASA's A-Train,” Joint GCSS-GPCI/BLCI-RICO Workshop, NASA/GISS New York, USA, Sept. 18, 2006, URL: http://www.knmi.nl/samenw/rico/presentations/Fetzer_GCSS.pdf

5) ”Smoke Over Siberia,” NASA Earth Observatory, Image of the Day for 19 July 2022, URL: https://earthobservatory.nasa.gov/images/150097/smoke-over-siberia

6) ”Floods Swamp Bangladesh,” NASA Earth Observatory, Image of the Day for 24 June 2022, URL: https://earthobservatory.nasa.gov/images/150014/floods-swamp-bangladesh

7) ”Alaska Ablaze,” NASA Earth Observatory, Image of the Day for 15 June 2022, URL: https://earthobservatory.nasa.gov/images/149973/alaska-ablaze

8) ”Phytoplankton Productivity Down in Gulf of Maine,” NASA Earth Observatory, Image of the Day for 8 June 2022, URL: https://earthobservatory.nasa.gov/images/149915/phytoplankton-productivity-down-in-gulf-of-maine

9) ”Bristol Abloom,” NASA Earth Observatory, Image of the Day for 4 June 2022, URL: https://earthobservatory.nasa.gov/images/149912/bristol-abloom

10) AbigailMcQuatters-Gollop, Angus Atkinson, Anaïs Aubert, Jacob Bedford, Mike Best, Eileen Bresnan, Kathryn Cook, Michelle Devlin, Richard Gowen, David G. Johns, Margarita Machairopoulou, April McKinney, Adam Mellor, Clare Ostle, Cordula Scherer, Paul Tett, ”Plankton lifeforms as a biodiversity indicator for regional-scale assessment of pelagic habitats for policy,” ScienceDirect, Volume 10, June 2019, pp: 913-925, https://doi.org/10.1016/j.ecolind.2019.02.010

11) ”Persistent Dust Storms Batter Iraq, NASA Earth Observatory, Image of the Day for 18 May 2022, URL: https://earthobservatory.nasa.gov/images/149838/persistent-dust-storms-batter-iraq

12) ”New Mexico Wildfire Spawns Fire Cloud,” NASA Earth Observatory, Image of the Day for 14 May 2022, URL: https://earthobservatory.nasa.gov/images/149830/new-mexico-wildfire-spawns-fire-cloud

13) ”Taking Stock of Rocky Mountain Snowpack,” NASA Earth Observatory, Image of the Day for 6 May 2022, URL: https://earthobservatory.nasa.gov/images/149779/taking-stock-of-rocky-mountain-snowpack

14) A. Park Williams, Benjamin I. Cook & Jason E. Smerdon, ”Rapid intensification of the emerging southwestern North American megadrought in 2020–2021,” Nature Climate Change, Volume 12, pp: 232-234, Published: 14 February 2022, https://doi.org/10.1038/s41558-022-01290-z

15) ”From Weather Forecasting to Climate Change, NASA’s AIRS Builds a Legacy,” NASA/JPL, 5 May 2022, URL: https://www.jpl.nasa.gov/news/from-weather-forecasting-to-climate-change-nasas-airs-builds-a-legacy?utm_source=iContact&utm_medium=email&utm_campaign=nasajpl&utm_content=daily20220505-3

16) ”Wildfires Continue to Burn Across New Mexico,” NASA Earth Observatory, Image of the Day for 4 May 2022, URL: https://earthobservatory.nasa.gov/images/149784/wildfires-continue-to-burn-across-new-mexico

17) ”Mediterranean Dust Storm,” NASA Earth Observatory, Image of the Day for 2 May 2022, URL: https://earthobservatory.nasa.gov/images/149772/mediterranean-dust-storm

18) ”Picturesque Clouds off Greenland,” NASA Earth Observatory, Image of the Day for 28 April 2022, URL: https://earthobservatory.nasa.gov/images/149759/picturesque-clouds-off-greenland

19) ”Wildfires Scorch Northern New Mexico,” NASA Earth Observatory, Image of the Day for 26 April 2022, URL: https://earthobservatory.nasa.gov/images/149748/wildfires-scorch-northern-new-mexico

20) Yizhou Zhuang, Rong Fu, Benjamin D. Santer, Robert E. Dickinson, and Alex Hall, ”Quantifying contributions of natural variability and anthropogenic forcings on increased fire weather risk over the western United States,” PNAS, Vol. 118 No 45, November 1, 2021, https://doi.org/10.1073/pnas.2111875118

21) ”A Grand New Dam on the Nile,” NASA Earth Observatory, Image of the Day for 19 April 2022, URL: https://earthobservatory.nasa.gov/images/149691/a-grand-new-dam-on-the-nile

22) Essam Heggy, Zane Sharkawy and Abotalib Z Abotalib, ”Egypt's water budget deficit and suggested mitigation policies for the Grand Ethiopian Renaissance Dam filling scenarios,” Environmental Research Letters, Volume 16, Number 7, Published: 1 July 2021, https://doi.org/10.1088/1748-9326/ac0ac9, URL: https://iopscience.iop.org/article/10.1088/1748-9326/ac0ac9/pdf

23) Prakrut Kansara, Wenzhao Li, Hesham El-Askary, Venkataraman Lakshmi, Thomas Piechota, Daniele Struppa and Mohamed Abdelaty Sayed,”An Assessment of the Filling Process of the Grand Ethiopian Renaissance Dam and Its Impact on the Downstream Countries,” Remote Sensing, Published: 15 February 2021, https://doi.org/10.3390/rs13040711, URL: https://mdpi-res.com/d_attachment/remotesensing/remotesensing-13-00711/article_deploy/remotesensing-13-00711-v2.pdf

24) ”Dry Winds and Grasses Fuel Texas Fires,” NASA Earth Observatory, Image of the Day for 22 March 2022, URL: https://earthobservatory.nasa.gov/images/149608/dry-winds-and-grasses-fuel-texas-fires

25) ”A Salt Bath in Bolivia,” NASA Earth Observatory, Image of the Day for 28 February 2022, URL: https://earthobservatory.nasa.gov/images/149502/a-salt-bath-in-bolivia

26) ”Cyclone Batsirai Floods Madagascar,” NASA Earth Observatory, Image of the Day for 13 February, 2022, URL: https://earthobservatory.nasa.gov/images/149454/cyclone-batsirai-floods-madagascar

27) ”Blizzard Blankets Northeast U.S. in Snow,” NASA Earth Observatory, Image of the Day for 1 February 2022, URL: https://earthobservatory.nasa.gov/images/149402/blizzard-blankets-northeast-us-in-snow

28) ”Suspended Sediments Streak a Shallow Gulf,” NASA Earth Observatory, Image of the Day for 29 January 2022, URL: https://earthobservatory.nasa.gov/images/149359/suspended-sediments-streak-a-shallow-gulf

29) ”Flash Floods Swamp Iran,” NASA Earth Observatory, Image of the Day for 15 January 2022, URL: https://earthobservatory.nasa.gov/images/149325/flash-floods-swamp-iran

30) ”Red Tide off Rio,” NASA Earth Observatory, Image of the Day for January 13, 2022, URL: https://earthobservatory.nasa.gov/images/149316/red-tide-off-rio

31) ”Colorado Faces Winter Urban Firestorm,” NASA Earth Observatory, Image of the Day for 5 January 2022, URL: https://earthobservatory.nasa.gov/images/149286/colorado-faces-winter-urban-firestorm

32) http://aqua.nasa.gov/about/instruments.php

33) H. H. Aumann, M. Chahine, C. Gautier, M. D. Goldberg, E. Kalnay, L. M. McMillin, H. Revercomb, P. W. Rosenkranz, W. L. Smith, D. H. Staelin, L. L. Strow, J. Susskind, “AIRS/AMSU/HSB on the Aqua Mission: Design, Science Objectives, Data Products, and Processing Systems,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No 2, pp. 253-264, February 2003, URL http://www.geog.ucsb.edu/~gautier/CV/pubs/Auman_et_al_2003.pdf

34) Aqua brochure of NASA/GSFC, March 2002, courtesy of Claire L. Parkinson, URL: http://aqua.nasa.gov/doc/pubs/Aqua_brochure.pdf

35) AIRS (Atmospheric InfraRed Sounder), NASA, URL: [web source no longer available]

36) M. H. Weiler, K. R. Overoye, J. A. Stobie, P. B. O'Sullivan, S. L. Gaiser, S. E. Broberg, D. A. Elliott, “Performance of the Atmospheric Infrared Sounder (AIRS) in the Radiation Environment of Low-Earth Orbit,” Proceedings of the SPIE Conference Optics and Photonics, San Diego CA, USA, July 31-Aug. 4, 2005, Vol. 5882

37) C. D. Barnet, M. D. Goldberg, L. McMillin, M. T. Chahine, “Remote sounding of trace gases with the EOS/AIRS instrument,” `Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective,' Edited by Huang, Hung-Lung A.; Bloom, Hal J. Proceedings of the SPIE, Vol. 5548, 2004, pp. 300-312

38) http://aqua.nasa.gov/about/instrument_airs.php

39) Stuart MacCallum, “The Atmospheric InfraRed Sounder,” 2005, URL: http://xweb.geos.ed.ac.uk/~stuart/Presentations/stuart_firbush2005.pdf

40) Thomas S. Pagano, Moustafa T. Chahine, Edward T. Olsen, “Seven years of observations of Mid-Tropospheric CO2 from the Atmospheric Infrared Sounder,” Proceedings of the 61st IAC (International Astronautical Congress), Prague, Czech Republic, Sept. 27-Oct. 1, 2010, IAC-10.B1.6.3

41) Eric Fetzer, Larry M. McMillin, David Tobin, Hartmut H. Aumann, Michael R. Gunson, W. Wallace McMillan, Denise E. Hagan, Mark D. Hofstadter, James Yoe, David N. Whiteman, John E. Barnes, Ralf Bennartz, Holger Vömel, VonWalden, Michael Newchurch, Peter J. Minnett, Robert Atlas, Francis Schmidlin, Edward T. Olsen, Mitchell D. Goldberg, Sisong Zhou, HanJung Ding, William L. Smith, and Hank Revercomb “AIRS/AMSU/HSB validation,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, Issue 2, Feb. 2003, pp. 418-431

42) Eric J. Fetzer, Edward T. Olsen, Luke Chen, Denise Hagan, “Validation of AIRS / AMSU / HSB retrieved products,” URL: http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/38290/1/03-1851.pdf

43) Information provided by Janio Kono of INPE, Sao José dos Campos, Brazil

44) B. H. Lambrigtsen, R. V. Calheiros, “The Humidity Sounder for Brazil - an international partnership,” IEEE Transaction on Geoscience and Remote Sensing, Vol. 41, Issue 2, Feb. 2003, pp. 352-361

45) Ezio Castejon Garcia, Marcio Bueno dos Santos, “The Environmental Simulation of the Humidity Sounder for Brazil,” 54th Astronautical Congress of the IAF, Sept. 29 - Oct. 3, 2003, Bremen, Germany

46) Advanced Microwave Scanning Radiometer (AMSR), NASA, URL: https://web.archive.org/web/20160321082618/http://www.ghcc.msfc.nasa.gov/AMSR/instrument_descrip.html

47) AMSR-E Data Users Handbook, 4th Edition, JAXA, March 2006, NCX-030021

48) http://nsidc.org/data/docs/daac/amsre_instrument.gd.html

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