[Keyword='Stratiform Precipitation']
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AMSR-E/Aqua L2B Global Swath Rain Rate/Type GSFC Profiling Algorithm Entry ID: AE_Rain |
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Summary
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Abstract:
The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA EOS Aqua satellite provides global passive microwave measurements of terrestrial, oceanic, and atmospheric variables for the investigation of water and energy cycles. This Level-2B swath product (AE_Rain) contains instantaneous measurements of rain rate and rain type (convective vs. stratiform), generated from Level-2A brightness temperatures (AE_L2A). The Goddard Space Flight Center (GSFC) Profiling algorithm determines rain rate and type over ocean areas, and a Modified GSFC Profiling algorithm over land. Data are stored in HDF-EOS format, and are available from 18 June 2002 to present via FTP.
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Related URL
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Link:
VIEW PROJECT HOME PAGE
Description: AMSR-E Web site at NSIDC Link: VIEW RELATED INFORMATION Description: NASA AMSR-E Web site |
Geographic Coverage
| N: 70.0 | S: -70.0 | E: 180.0 | W: -180.0 |
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Data Set Citation
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Dataset Originator/Creator:
R. Adler, T. Wilheit, Jr., C. Jummerow, R. Ferraro
Dataset Title: AMSR-E/Aqua L2B Global Swath Rain Rate/Type GSFC Profiling Algorithm Dataset Release Date: 2007-06-11Updated daily. Dataset Release Place: Boulder, Colorado USA Dataset Publisher: National Snow and Ice Data Center (NSIDC) Version: 2 Online Resource: http://nsidc.org/data/ae_rain.html |
Temporal Coverage
| Start Date: 2002-06-18 |
Location Keywords
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GEOGRAPHIC REGION
> GLOBAL
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Data Resolution
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Latitude Resolution:
5.4 km
Longitude Resolution: 5.4 km Temporal Resolution: 50 minutes |
Science Keywords
| ATMOSPHERE >PRECIPITATION >PRECIPITATION RATE [Definition] |
| ATMOSPHERE >PRECIPITATION >RAIN [Definition] |
ISO Topic Category
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CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
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Platform
| AQUA >Earth Observing System, AQUA [Information] |
Instrument
| AMSR-E >Advanced Microwave Scanning Radiometer-EOS [Information] |
Project
| EOS >Earth Observing System [Information] |
| EOSDIS >Earth Observing System Data Information System [Information] |
| ESIP >Earth Science Information Partners Program [Information] |
| CWIC >CEOS WGISS Integrated Catalog [Information] |
Quality
| Each HDF-EOS file contains core metadata with Quality Assessment (QA) metadata flags that are set by the Science Investigator-led Processing System (SIPS) at the Global Hydrology and Climate Center (GHCC) prior to delivery to NSIDC. A separate metadata file with a .xml file extension is also delivered to NSIDC with the HDF-EOS file, and it contains the same information as the core metadata. Three levels of QA are conducted with the AMSR-E Level 2 and 3 products: automatic, operational, and science. If a product does not fail QA, it is ready to be used for higher-level processing, browse generation, active science QA, archive, and distribution. If a granule fails QA, SIPS does not send the granule to NSIDC until it is reprocessed. Level-3 products that fail QA are never delivered to NSIDC (Conway 2002). |
Keywords
| AE_Rain |
| AMSR-E |
| Aqua |
| BRIGHTNESS TEMPERATURES |
| Convective Precipitation |
| Convective Rainfall |
| DAAC |
| EOS PM-1 |
| EOSDIS |
| Ferraro algorithm |
| GSFC |
| GSFC profiling algorithm |
| Imagery |
| Latent Heat Release |
| NASA |
| NSIDC |
| Passive Microwave |
| Precipitation Rate |
| Precipitation Type |
| Radiance |
| Rain Over Land |
| Rain Over Oceans |
| Rain Rate |
| Rain Type |
| Remote Sensing |
| Stratiform Precipitation |
| Stratiform Rainfall |
| Surface Rainfall |
| Tb |
Data Set Progress
| IN WORK |
Data Center
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NSIDC Distributed Active Archive Center
[Information]
Data Center URL: http://nsidc.org/daac/index.html Dataset ID: AE_Rain
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NSIDC Distributed Active Archive Center
[Information]
Data Center URL: http://nsidc.org/daac/index.html
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Distribution
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Distribution_Media:
FTP
Distribution_Size: approx. 18 MB per half-orbit granule Distribution_Format: HDF-EOS |
Personnel
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NSIDC
USER SERVICES Role: TECHNICAL CONTACT Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA |
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THOMAS
WILHEIT, JR. Role: INVESTIGATOR Contact Address: Department of Atmospheric Sciences Texas A&M University 3150 TAMU City: College Park Province or State: TX Postal Code: 77843-3150 |
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CHRISTIAN
KUMMEROW Role: INVESTIGATOR Phone: +1 (970) 491-7473 Fax: +1 (970) 491-8449 Email: kummerow at atmos.colostate.edu Contact Address: Department of Atmospheric Science Colorado State University 200 West Lake Street City: Fort Collins Province or State: CO Postal Code: 80523 Country: USA |
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RALPH
FERRARO Role: INVESTIGATOR Email: Ralph.Ferraro at noaa.gov Contact Address: ESSIC/CICS 2207 Computer and Space Sciences Building University of Maryland City: College Park Province or State: MD Country: USA |
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ROBERT
ADLER Role: INVESTIGATOR Phone: 301-614-6290 Fax: 301-614-5492 Email: Robert.F.Adler at nasa.gov Contact Address: Mesoscale Atmospheric Processes Branch Laboratory for Atmospheres NASA/Goddard Space Flight Center Code 613 USA City: Greenbelt Province or State: MD Postal Code: 20771 Country: USA |
Publications/References
Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL Global Hydrology and Climate Center.
Ferraro, R. R. 1997. SSM/I Derived Global Rainfall Estimates for Climatological Applications. Journal of Geophysical Research 102:16,715-16,735.
Ferraro, R. R. and G. F. Marks. 1995. The Development of SSM/I Rain Rate Retrieval Algorithms Using Ground Based Radar Measurements. Journal of Atmos. Oceanic Technology 12 755-770.
Grody, N. C. 1991. Classification of Snow Cover and Precipitation Using the Special Sensor/Microwave Imager (SSM/I). Journal of Geophysical Research 96:7423-7435.
Kummerow, C., Y. Hong, W. S. Olson, S. Yang, R. F. Adler, J. McCollum, R. Ferraro, G. Petty, D. B. Shin, and T. T. Wilheit. 2001. The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors. Journal of Applied Meteorology 40: 1801-1820.
Kummerow, C., W. Olson, and L. Giglio. 1996. The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors. IEEE Transactions on Geosciences and Remote Sensing 34: 1213-1232.
McCollum, J., and R. Ferraro. 2003. Next Generation of NOAA/NESDIS TMI, SSM/I, and AMSR-E Microwave Land Rainfall Algorithms. Journal of Geophysical Research - Atmospheres 108(D8): art. no. 8382.
McCollum, J. R., A. Gruber, and M. B. Ba. 1999. Discrepancy between gauges and satellite estimates of rainfall in equatorial Africa. Journal Appl. Meteor 41 1065-1080.
Wilheit, T., C. Kummerow, and R. Ferraro. 2003. Rainfall algorithms for AMSR-E. IEEE Transactions on Geosciences and Remote Sensing 41(2): 204-214.
Kummerow, C., and R. Ferraro. 2007. Algorithm Theoretical Basis Document: EOS/AMSR-E Level-2 Rainfall. Fort Collins, Colorado, USA: Colorado State University. (View PDF File)
Ferraro, R. R. 1997. SSM/I Derived Global Rainfall Estimates for Climatological Applications. Journal of Geophysical Research 102:16,715-16,735.
Ferraro, R. R. and G. F. Marks. 1995. The Development of SSM/I Rain Rate Retrieval Algorithms Using Ground Based Radar Measurements. Journal of Atmos. Oceanic Technology 12 755-770.
Grody, N. C. 1991. Classification of Snow Cover and Precipitation Using the Special Sensor/Microwave Imager (SSM/I). Journal of Geophysical Research 96:7423-7435.
Kummerow, C., Y. Hong, W. S. Olson, S. Yang, R. F. Adler, J. McCollum, R. Ferraro, G. Petty, D. B. Shin, and T. T. Wilheit. 2001. The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors. Journal of Applied Meteorology 40: 1801-1820.
Kummerow, C., W. Olson, and L. Giglio. 1996. The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors. IEEE Transactions on Geosciences and Remote Sensing 34: 1213-1232.
McCollum, J., and R. Ferraro. 2003. Next Generation of NOAA/NESDIS TMI, SSM/I, and AMSR-E Microwave Land Rainfall Algorithms. Journal of Geophysical Research - Atmospheres 108(D8): art. no. 8382.
McCollum, J. R., A. Gruber, and M. B. Ba. 1999. Discrepancy between gauges and satellite estimates of rainfall in equatorial Africa. Journal Appl. Meteor 41 1065-1080.
Wilheit, T., C. Kummerow, and R. Ferraro. 2003. Rainfall algorithms for AMSR-E. IEEE Transactions on Geosciences and Remote Sensing 41(2): 204-214.
Kummerow, C., and R. Ferraro. 2007. Algorithm Theoretical Basis Document: EOS/AMSR-E Level-2 Rainfall. Fort Collins, Colorado, USA: Colorado State University. (View PDF File)
Creation and Review Dates
DIF Creation Date:
2004-02-24
Last DIF Revision Date:
2012-05-03
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