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Full catalog/GPM_2AGPROFAQUAAMSRE_CLIM
GPM_2AGPROFAQUAAMSRE_CLIM·v07·dataset

Rainfall profiles from a satellite radiometer (AMSR-E on Aqua)

GPM AMSR-E on Aqua (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 5 km V07 (GPM_2AGPROFAQUAAMSRE_CLIM) at GES DISC
atmosphere NASA GES_DISC Level 2
In plain English

What it measures. Estimates of rainfall and related details about precipitation in the atmosphere, captured along the satellite's track at roughly 5 km resolution. This is the climate-reference version, which uses consistent background weather data across the whole record so the numbers stay comparable over many years.

How it's made. Built by the GPROF algorithm from passive-microwave readings collected by the AMSR-E/AMSR2 sensor on NASA's Aqua satellite, combined with steady reanalysis weather data instead of the latest forecasts.

How & where you'd use it. Useful for studying long-term rainfall patterns and trends, where having a consistent, homogeneous record matters more than getting data quickly.

What's measured

ATMOSPHERE › ATMOSPHERIC WATER VAPORATMOSPHERE › PRECIPITATION

Coverage & cadence

  • Time span2002-06-01 → 2011-10-04
  • Measured byAqua (AMSR-E)
  • Processing levelLevel 2
  • Spatial extent-180, -90, 180, 90
  • StatusCOMPLETE

What you can do with it

  • Map air pollutants — NO₂, aerosols, ozone
  • Track greenhouse gases and Earth's energy budget
  • Feed weather and air-quality analysis
Official 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 Older versions will no longer be available and have been superseded by Version 07.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 F11, F13, F14, F15); SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (Aqua) + 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.

Get the data

gpm_2agprofaquaamsre_clim_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="GPM_2AGPROFAQUAAMSRE_CLIM",
    version="07",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from GES_DISC
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.