Precipitation amount from IMERG

IMERG multi satelite calibrated precipitation, JAN 2019. — IMERG multi satelite calibrated precipitation, Jan 20 2020, 00:00UTC. Copyright: UHH/CEN/S. Kern

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Access

RESTRICTED: This link to the data set is only available for a restricted user group. The data set is only accessible in CEN/MPI net or accessible from external nets with a customer account. Please contact ICDC if you would like to access this data from outside the network.

View IMERG data from 2020 on at LAS
Access IMERG data from 2020 on via OPeNDAP
Data access via file system: /data/icdc/atmosphere/imerg

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Description

IMERG is the acronym for "Integrated Multi-satellitE Retrievals for GPM" - here used to generate the Version V07 Level-3 half-hourly precipitation amount data set: GPM_3IMERGHH.07.

Precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the Goddard Profiling Algorithm (GPROF V07), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiometer Algorithm (CORRA V07) product, and merged into half-hourly 0.1°x0.1° (roughly 10x10 km) fields. For detailed information we refer to the various technical documents found in the references section of this page.

Last update of data set at ICDC: November 7, 2024

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Parameters

Parameters of the IMERG data set
Name	Unit
amount of precipitation	mm / hour
fraction of liquid precipitation	%
quality index	-
Random retrieval error	mm / hour

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Coverage, spatial and temporal resolution

Period and temporal resolution:

2000-06-01 to 2024-05-31
every half hour (48 / day)

Coverage and spatial resolution:

Global
Spatial resolution: 0.1 ° x 0.1 °, Cartesian grid
Longitude: -179.95 ° E to 179.95 ° E
Geographic latitude: -89.95 ° N to 89.95 ° N
Dimension: 3600 columns x 1800 rows
Height: Terrain-Following

Format:

NetCDF

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Data quality

The data set offered here contains two measures for the uncertainty. One is a quality flag which essentially indicates the consistency of the precipitation values with one another (over time and space and between the input data) , see documentation about the quality index in the references. The other is random errors in the final product calibrated using precipitation station data (see the "GES DISC Dataset: GPM IMERG Final Precipitation" in references). In general we refer the the various documents found in the references section of this page; please pay particular not to the imerg-v07-release-notes document.

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Contact

G. Huffman et al.
NASA Global Precipitation Measurement Mission Team
Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, MD, U.S.
email: gsfc-help-disc (at) lists.nasa.gov

Stefan Kern
University of Hamburg
email: stefan.kern (at) uni-hamburg.de

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References

Literature:

IMERG V07 Release Notes (pdf, not barrier free)
IMERG V07 Algorithm Theoretical Basis Document (ATBD) (pdf, not barrier free)
IMERG V07 combined algorithm ATBD (pdf, not barrier free)
IMERG V07 final technical documentation (pdf, not barrier free)
IMERG V07 GPROF release notes (pdf, not barrier free)
Tan, J., et al., IMERG V06: Changes to the Morphing Algorithm. J. Atmos. Ocean. Technol., 36(12), 2471-2482, 2019, https://doi.org/10.1175/JTECH-D-19-0114.1.
Joyce, R. J., et al., Kalman Filter Based CMORPH, J. Hydrometeor., 12(6), 1547-1563, 2011, https://doi.org/10.1175/JHM-D-11-022.1.
Hong, Y., et al., Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System, J. Appl. Meteorol., 43(12), 1834-1853, 2004, https://doi.org/10.1175/JAM2173.1.
Huffman, G. J., et al., The TRMM Multi-satellite Precipitation Analysis: Quasi-Global, Multi-Year, Combined-Sensor Precipitation Estimates at Fine Scale, J. Hydrometeor., 8(1), 38-55, 2007, https://doi.org/10.1175/JHM560.1
Behrangi, A., and Y. Wen, On the spatial and temporal sampling erors of remotely sensed precipitation products, Remote Sensing, 9(11), 1127, 2017, https://doi.org/10.3390/rs09111127.
Tang, G., et al., Have satellite precipitation products improved over the last two decades - A comprehensive comparison of GPM IMERG with nine satellite and reanalysis data sets, Rem. Sens. Environ., 240, 111697, 2020, https://doi.org/10.1016/j.rse.2020.111697.
Navarro, A., et al., Assessment of IMERG precipitation estimates over Europe, Remote Sensing, 11(21), 2470, 2019, https://doi.org/10.3390/rs11212470.

Websites:

GES DISC Dataset: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 (GPM_3IMERGHH), https://disc.gsfc.nasa.gov/datasets/GPM_3IMERGHH_07/summary

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Data citation, License, and Acknowledgments

Please cite the data as follows:

Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2024), GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), https://doi.org/10.5067/GPM/IMERG/3B-HH/07 [last access: October 28, 2024], distributed in netCDF file format by ICDC, CEN, University of Hamburg.

and with the following acknowledgments:

Thanks to ICDC, CEN, University of Hamburg for data support.

License

Please see GES DISC dataset website for license informations.

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