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Precipitation Data Access and Tools

NASA has a wide range of precipitation data, from hourly rainfall estimates to reanalysis datasets looking back decades. Our datasets and tools help users spot characteristics, trends, patterns, and anomalies in the precipitation that falls to Earth and understand how it affects natural areas and human communities.

Precipitation Datasets

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Dataset Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
LBA-ECO CD-05 Soil VWC and Meteorology, Rainfall Exclusion, Tapajos National Forest 1 GROUND STATIONS, FIELD INVESTIGATION HUMIDITY SENSORS, RAIN GAUGES, TDR 1999-01-01 to 2007-04-20

N: -2.75 S: -2.75 E: -55 W: -55

CSV
LBA-ECO CD-06 Water Balance of the Ji-Parana River Basin, Brazil: 1995-1996 1 STREAMFLOW STATION, METEOROLOGICAL STATIONS STREAM GAUGES, RAIN GAUGES 1995-10-01 to 1996-08-31

N: -8.0333 S: -12.9269 E: -60.015 W: -63.4153

CSV
LBA-ECO CD-07 GOES-8 L3 Gridded Surface Radiation and Rain Rate for Amazonia: 1999 1 GOES-8 GOES-8 Imager 1999-03-01 to 2005-06-29

N: 5 S: -15 E: -40 W: -75

Binary
LBA-ECO CD-10 CO2 and H2O Eddy Flux Data at km 67 Tower Site, Tapajos National Forest 1 METEOROLOGICAL STATIONS, FIXED OBSERVATION STATIONS RADIOMETERS, RAIN GAUGES, EDDY CORRELATION DEVICES, IRGA, SONIC ANEMOMETER 2002-01-01 to 2006-01-18

N: -2.857 S: -2.857 E: -54.959 W: -54.959

Text File
LBA-ECO LC-02 Daily Meteorological Data, Rio Branco, Acre, Brazil: 1970-2001 1 METEOROLOGICAL STATIONS HUMIDITY SENSORS, THERMOMETERS, PRESSURE SENSORS 1970-01-01 to 2001-05-31

N: -9.95 S: -9.95 E: -67.87 W: -67.87

CSV
LBA-ECO LC-09 Daily Precipitation for Altamira and Santarem, Para, Brazil: 1961-1998 1 METEOROLOGICAL STATIONS RAIN GAUGES 1961-01-01 to 1998-12-31

N: -2.5 S: -4 E: -51 W: -54

CSV
LBA-ECO LC-14 Modeled Soil and Plant Water Balance, Amazon Basin, 1995-2001 1 NOT APPLICABLE NOT APPLICABLE 1995-01-01 to 2001-12-31

N: 9.24 S: -34 E: -34.035 W: -82

GeoTIFF
LBA-ECO ND-03 Forest and Pasture Watershed Hydrochemistry, Rondonia, Brazil 1 LABORATORY, FIELD INVESTIGATION ION CHROMATOGRAPHS, RAIN GAUGES, STREAM GAUGES 2004-08-22 to 2005-03-08

N: -10.2886 S: -10.3231 E: -62.8583 W: -62.8811

CSV
LBA-ECO ND-04 Pasture Soil Water and Precipitation, Km 54, Manaus, Brazil: 1999-2001 1 FIELD SURVEYS, GROUND STATIONS NEUTRON PROBE, RAIN GAUGES 1999-01-01 to 2001-12-31

N: -2.518 S: -2.518 E: -60.03 W: -60.03

CSV
LBA-ECO ND-07 Trace Gas Fluxes Under Multiple Land Uses, Brazil: 1999-2004 1 LABORATORY, FIELD INVESTIGATION, METEOROLOGICAL STATIONS CHEMILUMINESCENCE, CARBON ANALYZERS, BALANCE, SOIL TEMPERATURE PROBE, SPECTROPHOTOMETERS, IRGA, PHOTOMETERS, TEMPERATURE SENSORS, RADIOMETERS 1999-09-09 to 2005-12-31

N: -15.2333 S: -16.3 E: -47.2506 W: -47.8506

CSV
LBA-ECO ND-30 Water Chemistry, Rainfall Exclusion, km 67, Tapajos National Forest 1 LABORATORY, FIELD INVESTIGATION ION CHROMATOGRAPHS, LYSIMETERS 1999-05-17 to 2006-05-10

N: -2.75 S: -2.75 E: -55 W: -55

CSV
LBA-HMET PC-06 ECMWF Modeled Precipitation and Surface Flux, Rondonia, Brazil: 1999 1 FIELD INVESTIGATION, FIXED OBSERVATION STATIONS EDDY CORRELATION DEVICES, RAIN GAUGES 1999-01-01 to 1999-03-31

N: -10.75 S: -10.85 E: -61.87 W: -62.3722

CSV
Legates Surface and Ship Observations of Precipitation Climatology 0.5 x 0.5 degree V1 (RAIN_LEGATES) 1 METEOROLOGICAL STATIONS, Ships RAIN GAUGES 1920-01-01 to 1980-12-31

N: 90 S: -90 E: 180 W: -180

LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model 1 METEOROLOGICAL STATIONS THERMOMETERS, RAIN GAUGES 1973-01-01 to 2008-12-31

N: 90 S: -90 E: 180 W: -180

multiple
LMOS Illinois EPA (IEPA) Ground Site Data 1 GROUND STATIONS GAS SENSORS 2017-05-17 to 2017-05-30

N: 45.45 S: 45.44 E: -94.71 W: -94.72

ICARTT
LMOS Sheboygan Ground Site Data 1 GROUND STATIONS LASERS, LIDAR, HSRL, GPS, SPECTROMETERS, GAS SENSORS 2017-05-09 to 2017-06-23

N: 43.75 S: 43.74 E: -87.7 W: -87.71

ICARTT, NetCDF-3
LMOS Zion Ground Site Data 1 GROUND STATIONS CIT-ToF-CIMS, GAS SENSORS, PYRANOMETERS, SPECTROMETERS, CEILOMETERS, APS, SMPS, SODAR, GC-MS, OC-EC Analyzer 2017-05-16 to 2017-06-24

N: 46 S: 40 E: 95 W: -95

ICARTT, NetCDF-3, HDF5
MEaSUREs Precipitation Phase and Rate from Passive Microwave Observations and Earth System Models using Transfer Learning V001 1 CloudSat, ECMWF ERA5, GPM, MODELS CloudSat-CPR, NOT APPLICABLE, DPR, GMI 2014-04-07 to 2025-05-06

N: 69.41 S: -69.42 E: 180 W: -180

5.1 Kilometers x 13.2 Kilometers netCDF-4
MERRA-2 statD_2d_slv_Nx: 2d,Daily,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2SDNXSLV) 5.12.4 MERRA-2 NOT APPLICABLE 1980-01-01 to Present

N: 90 S: -90 E: 180 W: -180

0.5 Decimal Degrees x 0.625 Decimal Degrees
MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices based on 1991-2020 V2 (M2SMNXEDI) 2 MERRA-2 NOT APPLICABLE 1980-01-01 to Present

N: 90 S: -90 E: 180 W: -180

0.625 Decimal Degrees x 0.5 Decimal Degrees
MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices V1 (M2SMNXEDI) at GES DISC 1 MERRA-2 NOT APPLICABLE 1980-01-01 to 2022-12-31

N: 90 S: -90 E: 180 W: -180

0.625 Decimal Degrees x 0.5 Decimal Degrees
MERRA-2 statM_2d_pct_Nx: 2d, Single-Level, Monthly Percentiles based on 1991-2020 V2 (M2SMNXPCT) 2 MERRA-2 NOT APPLICABLE 1980-01-01 to Present

N: 90 S: -90 E: 180 W: -180

0.625 Decimal Degrees x 0.5 Decimal Degrees
MERRA-2 statM_2d_pct_Nx: 2d, Single-Level, Monthly Percentiles V1 (M2SMNXPCT) 1 MERRA-2 NOT APPLICABLE 1980-01-01 to 2022-12-31

N: 90 S: -90 E: 180 W: -180

0.625 Decimal Degrees x 0.5 Decimal Degrees
MERRA-2 statM_2d_slv_Nx: 2d,Monthly,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2SMNXSLV) 5.12.4 MERRA-2 NOT APPLICABLE 1980-01-01 to Present

N: 90 S: -90 E: 180 W: -180

0.625 Decimal Degrees x 0.5 Decimal Degrees
MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXFLX) 5.12.4 MERRA-2 NOT APPLICABLE 1980-01-01 to Present

N: 90 S: -90 E: 180 W: -180

0.625 Decimal Degrees x 0.5 Decimal Degrees
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Featured Precipitation Observation Method: GPM

NASA's Global Precipitation Measurement (GPM) platform provides next-generation global observations of rain and snow to help researchers better understand Earth's water and energy cycles and forecast extreme weather and related events.

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Earthdata grphic identifier on ice sheet map

TRMM and GPM Precipitation Products and Services at NASA's GES DISC

During this webinar we will provide an overview of TRMM and GPM precipitation data products and discuss the various ways to discover and access these data. We will also demonstrate the visualization and analysis tools and services provided by NASA's Goddard Earth Science Data and Information Services Center (GES DISC).

Precipitation Data Tools

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