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.
Complete Metadata
| bureauCode |
[ "026:00" ] |
|---|---|
| identifier | C1979668994-GHRC_DAAC |
| issued | 2017-11-30 |
| landingPage | https://doi.org/10.5067/GPMGV/IFLOODS/PERSIANN/DATA101 |
| language |
[ "en-US" ] |
| programCode |
[ "026:001" ] |
| spatial | -96.84 39.36 -87.16 45.24 |
| temporal | 2013-04-01T00:00:00Z/2013-07-01T00:00:00Z |
| theme |
[ "IFloodS", "geospatial" ] |
