GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS V1

The GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset is a subset from the global 30-minute PERSIANN-CCS files generated in near-real time selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign. The main goal of IFloodS were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This PERSIANN-CCS data product is available in ASCII and netCDF-4 formats from April 1, 2013 thru July 1, 2013.

Data and Resources

Additional Info

Field Value
Maintainer undefined
Last Updated February 19, 2025, 02:35 (UTC)
Created February 19, 2025, 02:35 (UTC)
accessLevel public
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citation Braithwaite, Dan .2017. GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS [indicate subset used]. Dataset available online from the NASA Global Hydrometeorology Resource Center DAAC, Huntsville, Alabama, U.S.A. DOI: http://dx.doi.org/10.5067/GPMGV/IFLOODS/PERSIANN/DATA101
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harvest_source_id b37e5849-07d2-41cd-8bb6-c6e83fc98f2d
harvest_source_title DNG Legacy Data
identifier C1979668994-GHRC_DAAC
issued 2017-11-30
landingPage https://doi.org/10.5067/GPMGV/IFLOODS/PERSIANN/DATA101
language {en-US}
metadata_type geospatial
modified 2022-05-23
programCode {026:001}
publisher NASA/MSFC/GHRC
resource-type Dataset
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source_schema_version 1.1
spatial -96.84 39.36 -87.16 45.24
temporal 2013-04-01T00:00:00Z/2013-07-01T00:00:00Z
theme {IFloodS,geospatial}