AIRS/Aqua L2 Near Real Time (NRT) Standard Physical Retrieval (AIRS-only) V006 (AIRS2RET_NRT) at GES DISC
The Atmospheric Infrared Sounder (AIRS) Level 2 Near Real Time (NRT) Standard Physical Retrieval (AIRS-only) product (AIRS2RET_NRT_006) differs from the routine product (AIRS2RET_006) in four ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude, (3) if the forecast surface pressure is unavailable, a surface climatology is used, and (4) no ice cloud properties retrievals are performed. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. This product is produced using AIRS IR only because the radiometric noise in AMSU channel 4 started to increase significantly (since June 2007). The AIRS Standard Retrieval Product consists of retrieved estimates of cloud and surface properties, plus profiles of retrieved temperature, water vapor, ozone, carbon monoxide and methane. Estimates of the errors associated with these quantities is also part of the Standard Product. The temperature profile vertical resolution is 28 levels total between 1100 mb and 0.1 mb, while moisture profile is reported at 14 atmospheric layers between 1100 mb and 50 mb. The horizontal resolution is 50 km. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.
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| Spatial Extent: | Bounding Rectangle: N: 90.0 S: -90.0 E: 180.0 W: -180.0 |
Data Format(s): | Distribution: HDF-EOS |
| Temporal Extent: | Platform(s): | Aqua | |
| Data Center(s): | NASA/GSFC/SED/ESD/GCDC/GESDISC | Instrument(s): | AIRS |
| Version: | 006 | ||
- Title: AIRS/Aqua L2 Near Real Time (NRT) Standard Physical Retrieval (AIRS-only) V006
- Version: 006
- Creator: AIRS Science Team/Joao Teixeira
- Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC)
- Release Date: 2016-10-15T00:00:00.000Z
- Linkage: https://disc.gsfc.nasa.gov/datacollection/AIRS2RET_NRT_006.html
- READ-ME: https://docserver.gesdisc.eosdis.nasa.gov/repository/Mission/AIRS/3.3_ScienceDataProductDocumentation/3.3.4_ProductGenerationAlgorithms/README.AIRS_V6.pdf, README Document
- GENERAL DOCUMENTATION: https://docserver.gesdisc.eosdis.nasa.gov/repository/Mission/AIRS/3.3_ScienceDataProductDocumentation/3.3.5_ProductQuality/nrt_memo_v6.pdf, Memo on NRT vs Standard Product
- ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD): https://eospso.gsfc.nasa.gov/sites/default/files/atbd/20070301_L2_ATBD_signed.pdf, AIRS ATBD
Collection Information
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Purpose
The Near Real Time (NRT) product is for users whose primary interest is the low latency for data availability. While standard data products are available within 3 days of observation, NRT data are usually available within 3 hours of observation. - Search for granules from this collection
Data Identification
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Processing Level
2
- Quality The product is similar to AIRX2RET except the processing uses only the AIRS channels. No AMSU information was used in the generation of this product. As a Near Real Time (NRT) product this differs from AIRS2RET.006 AIRS-only in four ways to meet the three hour latency requirement of the Land Atmosphere NRT Capability Earth Observing System (LANCE). For additional information about NRT processing see either the Related URL section or the Publication References section for the V6 NRT memo. The quality of data products, described in the associated references, provide information about numerous validation studies conducted and papers written documenting the excellence of the products using radiosondes, ground truth, other satellites, and model analysis products. There are however several limitation of the AIRS-only Version-6 retrieval products. The AIRS-only surface classification determination is not optimal in polar regions. In addition, the Version-6 retrievals contain a spurious dry daytime moisture bias. Another is the thickness of the AIRS atmospheric temperature layer structure near the surface is not sensitive enough for the determination of a consistently accurate boundary layer. For trace gases, the total column CO and total column methane (CH4) are dominated by the initial guess and should not be used for research purposes. In addition, the AIRS retrieval is not sensitive to either constituent near the surface. Also, the total column ozone is good, but the shape of the profile can be incorrect in regions of temperature inversion. Occasionally in the tropical ocean the algorithm confuses silicates from dust storms blowing off the African continent toward the Americas for high levels of ozone. Each variable contains a flag indicating the quality of the value. The three options for this quality flag are: 0 for best quality, 1 for good quality, 2 for do not use.
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Collection Progress
Active
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Access Constraints
You must register using the EOSDIS User Registration System in order to access LANCE NRT AIRS data. You can register at https://urs.eosdis.nasa.gov/users/new
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Title: The Atmospheric Infrared Sounder version 6 cloud products
Publication Date: 2014-01-01
Author(s): B. H. Kahn et al.
Pages: 399-426
DOI: 10.5194/acp-14-399-2014
Online Resource: https://www.atmos-chem-phys.net/14/399/2014/acp-14-399-2014.html
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Title: Improved methodology for surface and atmospheric soundings, error estimates, and quality control procedures: the atmospheric infrared sounder science team version-6 retrieval algorithm
Publication Date: 2014-03-31
Author(s): Joel Susskind, John, M. Blaisdell, and Lena Iredell
Edition: 8
Volume: 1
Pages: 34
DOI: 10.1117/1.JRS.8.084994
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Title: Validation of AIRS version 6 temperature profiles and surface-based inversions over Antarctica using Concordiasi dropsonde data
Publication Date: 2015-02-10
Author(s): Patrick Boylan, Junhong Wang, Stephen A. Cohn, Erik Fetzer, Eric S. Maddy, and Sung Wong
Series: Journal of Geophysical Research: Atmospheres
Volume: 120
Issue: 3
Pages: 992-1007
DOI: 10.1002/2014JD022551
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Title: Verificaton of air/surface humidity differences from AIRS and ERA-Interim in support of turbulent flux estimation in the Arctic
Publication Date: 2015-01-15
Author(s): L.N. Boisvert, D.L. Wu, T. Vihma, J.Susskind
Series: Journal of Geophysical Research, Atmospheres
Volume: 120
Issue: 3
Pages: 945-963
DOI: 10.1002/2014JD02166
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Title: A global assessment of NASA AIRS v6 and EUMETSAT IASI v6 precipitable water vapor using ground‐based GPS SuomiNet stations
Publication Date: 2016-07-21
Author(s): Jacola Roman, Robert Knuteson, Thomas August, Tim Hultberg, Steve Ackerman, and Hank Revercomb
Series: Journal of Geophysical Research, Atmospheres
Volume: 121
Issue: 15
Pages: 8925-8948
DOI: 10.1002/2016JD024806
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Title: Neural network temperature and moisture retrieval algorithm validation for AIRS/AMSU and CrIS/ATMS
Publication Date: 2015-12-20
Author(s): Adam B. Milstein, William J. Blackwell
Series: Journal of Geophysical Research, Atmospheres
Volume: 121
Issue: 4
Pages: 1414-1430
DOI: 10.1002/2015JD024008
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Title: Validation of Atmospheric Infrared Sounder Observations
Author(s): Journal Editors
Series: J. Geophys, Res. Atmospheres
Volume: 111
Issue: 9
DOI: 10.1029/2005/JD007020
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Title: Retrieval of Atmospheric and Surface Parameters From AIRS/AMSU/HSB Data in the Presence of Clouds
Publication Date: 2003-04-29
Author(s): Joel Susskind, Christopher D. Barnet, and John M. Blaisdell
Series: EEE Transactions on Geoscience and Remote Sensing,
Volume: 41
Issue: 2
Pages: 390-409
DOI: 10.1109/TGRS.2002.808236
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Title: AIRS Near Real Time (NRT) data products
Author(s): Thomas Hearty, Feng Ding, Ed Esfandiari, Andrey Savtchenko, Michael Theobald, Bruce Vollmer, Xin-Min Hua, Evan Manning, and Edward Olsen
Data Dates
| Creation | |
| Last Revision |
Publication References
Related URLs
Other Descriptive Keywords
Ancillary Keywords
- ATMOSPHERE
- CALIBRATED
- GEOLOCATED
- TEMPERATURE
- CLOUD
- EOSDIS
- Carbon Monoxide
- Cloud Liquid Water
- Methane
- Ozone
- Spectral IR Surface Emissivities
- TEMPERATURE
- WATER VAPOR
- Water Vapor Saturation Mass Mixing Ratio
- Water Vapor Mass Mixing Ratio
- LANCE
- NRT
- RELATIVE_START_DATE: -7
ISO Topic Categories
- IMAGERY/BASE MAPS/EARTH COVER
- CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
- ENVIRONMENT
- GEOSCIENTIFIC INFORMATION
Acquisition Information
Projects
| Project Short Name | Campaigns | Project Dates |
|---|---|---|
| Aqua | No campaigns listed. | No dates provided. |
| LANCE | No campaigns listed. | No dates provided. |
Temporal Information
Spatial Information
Location Keywords
- GEOGRAPHIC REGION
- GLOBAL
Data Centers
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NASA/GSFC/SED/ESD/GCDC/GESDISC
ARCHIVERGoddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC), Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA
This data center does not have any addresses listed.
This data center does not have any contact mechanisms listed.
Data Contacts
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ED ESFANDIARI
Metadata AuthorED ESFANDIARI
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Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
Greenbelt, MD 20771
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GES DISC HELP DESK SUPPORT GROUP
Data Center ContactGES DISC HELP DESK SUPPORT GROUP
NASA/GSFC/SED/ESD/GCDC/GESDISC-
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
Greenbelt, MD 20771
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Archive And Distribution Information
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Format: HDF-EOS
Format Type: Native
Media: Online Archive
Average File Size: 3.9 MB
Fees: None