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<DIF xmlns="http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/ http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/dif_v9.7.1.xsd"><Entry_ID>AE_Rain.003</Entry_ID><Entry_Title>AMSR-E/Aqua L2B Global Swath Surface Precipitation GSFC Profiling Algorithm</Entry_Title><Data_Set_Citation><Dataset_Creator>Kummerow, C., Ferraro, R. &amp; Randel, D.</Dataset_Creator><Dataset_Title>AMSR-E/Aqua L2B Global Swath Surface Precipitation GSFC Profiling Algorithm</Dataset_Title><Dataset_Release_Date>2015-07-21</Dataset_Release_Date><Dataset_Release_Place>Boulder, Colorado USA</Dataset_Release_Place><Dataset_Publisher>NASA NSIDC DAAC: NASA National Snow and Ice Data Center Distributed Active Archive 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</Detailed_Variable></Parameters><ISO_Topic_Category>Climatology/Meteorology/Atmosphere</ISO_Topic_Category><Keyword>AMSR-E-project</Keyword><Keyword>BRIGHTNESS TEMPERATURES</Keyword><Keyword>Convective Precipitation</Keyword><Keyword>GSFC profiling algorithm</Keyword><Keyword>Rain Over Land</Keyword><Keyword>Rain Over Oceans</Keyword><Keyword>Rain Rate</Keyword><Keyword>Stratiform Precipitation</Keyword><Keyword>Surface Rainfall</Keyword><Sensor_Name><Short_Name>AMSR-E</Short_Name><Long_Name>Advanced Microwave Scanning Radiometer-EOS</Long_Name></Sensor_Name><Source_Name><Short_Name>AQUA</Short_Name><Long_Name>Earth Observing System, 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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).</Quality><Access_Constraints>These data are freely, openly, and fully accessible, provided that you are logged into your NASA Earthdata profile (https://urs.earthdata.nasa.gov/).</Access_Constraints><Use_Constraints>These data are freely, openly, and fully available to use without restrictions, provided that you cite the data according to the recommended citation at https://nsidc.org/about/use_copyright.html. For more information on the NASA EOSDIS Data Use Policy, see https://earthdata.nasa.gov/earth-observation-data/data-use-policy.</Use_Constraints><Data_Set_Language>English</Data_Set_Language><Originating_Center>NASA/MSFC/AMSR-E SIPS</Originating_Center><Data_Center><Data_Center_Name><Short_Name>NASA NSIDC DAAC</Short_Name><Long_Name>NASA National Snow and Ice Data Center Distributed Active Archive Center</Long_Name></Data_Center_Name><Data_Center_URL>https://nsidc.org/daac</Data_Center_URL><Personnel><Role>Data Center Contact</Role><First_Name>NSIDC</First_Name><Last_Name>User Services</Last_Name><Email>nsidc@nsidc.org</Email><Phone>1-303-492-6199</Phone><Contact_Address><Address>National Snow and Ice Data Center</Address><Address>CIRES, 449 UCB</Address><Address>University of Colorado</Address><City>Boulder</City><Province_or_State>CO</Province_or_State><Postal_Code>80309-0449</Postal_Code><Country>USA</Country></Contact_Address></Personnel></Data_Center><Distribution><Distribution_Media>HTTPS</Distribution_Media><Distribution_Size>18 MB</Distribution_Size><Distribution_Format>HDF-EOS2</Distribution_Format></Distribution><Reference>Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL Global Hydrology and Climate Center.

Elsaesser, G.S., and C.D. Kummerow. 2008. Toward a fully parametric retrieval of the nonraining parameters over the global oceans. Journal of Applied Meteorology and Climatology 47: 1599-1618.

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 Atmospheric and 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., R. Ferraro, and David Randell. 2014. EOS/AMSR Rainfall: Algorithm Theoretical Basis Document, Version 2 GPROF2010 L2A. Fort Collins, Colorado, USA: Colorado State University.

Kummerow, C. D., S. Ringerud, J. Crook, D. Randel and W. Berg, 2010. An observationally generated A-Priori database for microwave rainfall retrievals, Journal of Atmospheric and Oceanic Technology 28(2): 113-130, doi: 10.1175/2010JTECHA1468.1. 

Kummerow, C., and R. Ferraro. 2006. [Supplement] EOS/AMSR-E Level-2 Rainfall: Algorithm Theoretical Basis Document. Fort Collins, Colorado, USA: Colorado State University. (PDF file, 245 KB)

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.

Reynolds, R.W., T.M. Smith, C. Liu, D.B. Chelton, K.S. Casey, and M.G. Schlax, 2006: Daily high-resolution-blended analyses for sea surface temperature. Journal of Climate 20: 5473- 5496.

Wilheit, T., C. Kummerow, and R. Ferraro. 2003. Rainfall algorithms for AMSR-E. IEEE Transactions on Geosciences and Remote Sensing 41(2): 204-214.
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Copyright (c) 2021 Luis Lopez

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.</LicenseText></UseConstraints><LastUpdatedDate>2024-02-29T00:00:00.000Z</LastUpdatedDate><AccessConstraints>As a condition of use, we request that you properly cite the earthaccess library to acknowledge the creators.  Formal citations also make it easier for us to track the use and impact of our data and tools, and helps us report data distribution activity and tool usage metrics to funding agencies.

If you have used earthaccess in your research, please cite as:

Barrett, A., Battisto, C., Bourbeau, J., Fisher, M., Kaufman, D., Kennedy, J., Lopez, L., Lowndes, J., Scheick, J., &amp; Steiker, A. (2024). earthaccess (Version 0.9.0) [Computer software]. https://doi.org/10.5281/zenodo.8365009

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