Description
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.
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Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Documents
Title Not Provided | IFloodS Field Campaign Collection DOI | |
PUBLICATIONS | Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network | |
PUBLICATIONS | On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation | |
USER'S GUIDE | The guide document contains detailed information about the dataset |