AE_RnGd
AMSR-E/Aqua Monthly L3 5x5 deg Rainfall Accumulations
R. Adler, T. Wilheit, Jr., C. Kummerow, R. Ferraro
AMSR-E/Aqua Monthly L3 5x5 deg Rainfall Accumulations
2004-01-01
Boulder, Colorado USA
NSIDC: National Snow and Ice Data Center
2
http://nsidc.org/data/ae_rngd.html
Technical Contact
NSIDC
User Services
nsidc@nsidc.org
1 303 492-6199 x
1 303 492-2468 x
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
Boulder
CO
80309-0449
USA
Investigator
Thomas
Wilheit, Jr.
Department of Atmospheric Sciences
Texas A&M University
3150 TAMU
College Park
TX
77843-3150
Investigator
Christian
Kummerow
kummerow@atmos.colostate.edu
1 970 491-7473
1 970 491-8449
Department of Atmospheric Science
Colorado State University
200 West Lake Street
Fort Collins
CO
80523
USA
Investigator
Ralph
Ferraro
Ralph.Ferraro@noaa.gov
ESSIC/CICS
2207 Computer and Space Sciences Building
University of Maryland
College Park
MD
USA
Investigator
Robert
Adler
Robert.F.Adler@nasa.gov
1 301 614-6290
1 301 614-5492
Mesoscale Atmospheric Processes Branch
Laboratory for Atmospheres
NASA/Goddard Space Flight Center
Code 613
Greenbelt
MD
20771
USA
EARTH SCIENCE
Atmosphere
Precipitation
Precipitation Amount
EARTH SCIENCE
Atmosphere
Precipitation
Rain
Climatology/Meteorology/Atmosphere
AE_RnGd
AMSR-E
Aqua
BRIGHTNESS TEMPERATURES
DAAC
EOSDIS
EOS PM-1
Ferraro algorithm
GSFC
GSFC profiling algorithm
Imagery
NASA
NSIDC
Passive Microwave
Precipitation Accumulation
Precipitation Amount
Precipitation Total
Radiance
Rain Accumulation
Rain Amount
Rainfall Amount
Rainfall Total
Rain Over Land
Rain Over Oceans
Remote Sensing
Tb
Total Precipitation
Total Rainfall
AMSR-E
Advanced Microwave Scanning Radiometer-EOS
AQUA
Earth Observing System, AQUA
2002-06-19
in work
-70
70
-180
180
GEOGRAPHIC REGION
GLOBAL
5 deg
5 deg
1 mon
EOS
Earth Observing System
ESIP
Earth Science Information Partners
EOSDIS
Earth Observing System Data Information System Data and Information System
The investigators perform quality control through visual examination of rainfall products on various temporal and spatial scales to ensure that rainfall maps are consistent with climate records, and that there are no gross errors. They also compare their rainfall estimates with ground-based radar estimates.
English
NSIDC_DAAC
NASA DAAC at the National Snow and Ice Data Center
http://nsidc.org/daac/index.html
Data Center Contact
NSIDC
User Services
nsidc@nsidc.org
1 303 492-6199
1 303 492-2468
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
Boulder
CO
80309-0449
USA
NSIDC
National Snow and Ice Data Center
http://nsidc.org
Data Center Contact
NSIDC
User Services
nsidc@nsidc.org
1 303 492-6199
1 303 492-2468
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
Boulder
CO
80309-0449
USA
FTP
88 KB
HDF-EOS
Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL: Global Hydrology and Climate Center.
Kedam, B., L. Chiu, and G. North. 1990. Estimation of Mean Rain Rates: Applications to Satellite Observations. J. Geophys Res. 95: 1965-1972
Marshall, T. S. and W. M. Palmer. 1948. The Distribution of Raindrops with Size. J. Meteorol 5: 165-166.
Mie, G. 1908. Beiträge zur Optik Trüber Medien, speziell kolloidaler Metalösungen. Ann. Phys. 26: 597-614.
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.
Tesmer, J. R., and T. T. Wilheit. 1997. An Improved Microwave Radiative Transfer Model for Tropical Oceanic Precipitation. Journal of Atmospheric Science 55:1674-1688. Wang, S. A. 1995. Modeling the Beam Filling Correction for Microwave Retrieval of Oceanic Rainfall. PhD dissertation. Dept of Meteorology; Texas A&M University Wilheit, Thomas, C. Kummerow, and R. Ferraro. 2007. Supplement AMSR-E Monthly Level-3 Rainfall Accumulations Algorithm Theoretical Basis Document. College Park, TX, USA: Texas A&M University. (View PDF)
Wilheit, T., C. Kummerow, and R. Ferraro. 2003. Rainfall algorithms for AMSR-E. IEEE Transactions on Geosciences and Remote Sensing 41(2): 204-214.
Wilheit, T., C. Kummerow, and R. Ferraro. 1999. Algorithm Theoretical Basis Document for EOS/AMSR Rainfall. College Park, TX, USA: Texas A&M University.
Wilheit, T. T., A. T .C. Chang, and L. S. Chiu. 1991. Retrieval of monthly rainfall indices from microwave radiometric measurement using probability distribution functions. Journal of Atmospheric Oceanic Technology 8: 118-136.
For more information regarding related publications, see the Research Using AMSR-E Data Web page.
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-3 rainfall accumulation product (AE_RnGd) consists of two grids of 28 rows by 72 columns of monthly averaged rainfall accumulation over ocean and land. Both grids are 5 degree by 5 degree resolution. Monthly ocean rainfall accumulation (mm) is derived from the Wilheit, Kummerow, and Ferraro (1991) algorithm, using Level-2A brightness temperatures as input. Monthly land rainfall accumulation (mm) is derived from the McCollum and Ferraro (2003) algorithm, using Level-2B rainfall data as input. Data are stored in HDF-EOS format, and are available from 19 June 2002 to the present via FTP.
VIEW PROJECT HOME PAGE
http://nsidc.org/data/amsre/
AMSR-E Data at NSIDC
VIEW PROJECT HOME PAGE
http://nsidc.org/data/amsre/index.html
AMSR-E Web site at NSIDC
VIEW PROJECT HOME PAGE
http://wwwghcc.msfc.nasa.gov/AMSR/
NASA AMSR-E Web site
USA/NASA
CEOS IDN DIF
9.7
2004-01-01
2012-05-22
Corrected dist. size field