GPM AMSR-2 on GCOM-W1 (GPROF) Climate-based Radiometer Precipitation Profiling L2A 1.5 hours 10 km V07 (GPM_2AGPROFGCOMW1AMSR2_CLIM) at GES DISC

Description

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The 'CLIM' products differ from their 'regular' counterparts (without the 'CLIM' in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the 'CLIM' output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. The 2AGPROF (also known as, GPM GPROF (Level 2)) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1) This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are near-realtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided. The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an a-priori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.

Resources

Name Format Description Link
21 Access the dataset landing page from the GES DISC website. https://disc.gsfc.nasa.gov/datacollection/GPM_2AGPROFGCOMW1AMSR2_CLIM_07.html
34 Surface Precipitation from GPM AMSR-2 on GCOM-W1 GPROF (10 km x 10 km) (GPM_2AGPROFGCOMW1AMSR2_CLIM) https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/browse/GPM_2AGPROFGCOMW1AMSR2_CLIM_07.png
21 Access the data via HTTPS https://gpm1.gesdisc.eosdis.nasa.gov/data/GPM_L2/GPM_2AGPROFGCOMW1AMSR2_CLIM.07/
21 Access the data via the OPeNDAP protocol. https://gpm1.gesdisc.eosdis.nasa.gov/opendap/GPM_L2/GPM_2AGPROFGCOMW1AMSR2_CLIM.07/contents.html
21 GPM Project Home Page https://gpm.nasa.gov
33 README Document https://gpm1.gesdisc.eosdis.nasa.gov/data/GPM_L2/doc/README.GPM.pdf
33 ATBD_GPM_V5B_April15_2018.pdf https://pps.gsfc.nasa.gov/Documents/ATBD_GPM_V5B_April15_2018.pdf
33 FILE SPECIFICATION DOCUMENT https://gpmweb2https.pps.eosdis.nasa.gov/pub/stout/helpdesk/filespec.GPM.V7.pdf
33 Release Notes and Quality Summary https://arthurhou.pps.eosdis.nasa.gov/Documents/GPROFV07A_releasenotes.pdf
21 GPM and partner sensors anomalous events https://gpmweb2https.pps.eosdis.nasa.gov/tsdis/AB/docs/gpm_anomalous.html
21 Instrument Description from JAXA https://suzaku.eorc.jaxa.jp/GCOM_W/w_amsr2/amsr2_body_main.html
21 Instrument Description from NOAA https://www.star.nesdis.noaa.gov/mirs/amsr2.php
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FGPM%2FAMSR2%2FGCOMW1%2FGPROFCLIM%2F2A%2F07
21 Use the Earthdata Search to find and retrieve data sets across multiple data centers. https://search.earthdata.nasa.gov/search?q=GPM_2AGPROFGCOMW1AMSR2_CLIM_07

Tags

  • precipitation
  • atmospheric-water-vapor
  • atmosphere
  • earth-science

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