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

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.

Resources

Name Format Description Link
21 CHRS UC Irvine Data Portal http://chrsdata.eng.uci.edu/
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FGPMGV%2FIFLOODS%2FPERSIANN%2FDATA101
21 Files may be downloaded directly to your workstation from this link https://search.earthdata.nasa.gov/search?q=gpmpersucifld
21 IFloodS Field Campaign Collection DOI http://dx.doi.org/10.5067/GPMGV/IFLOODS/DATA101
33 The guide document contains detailed information about the dataset https://ghrc.nsstc.nasa.gov/pub/fieldCampaigns/gpmValidation/ifloods/PERSIANN/doc/gpmpersucifld_dataset.pdf
21 Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network https://doi.org/10.1175/JHM574.1
21 On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation https://doi.org/10.1175/JTECH-D-11-00146.1
21 Instructions for citing GHRC data https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data
21 GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment https://ghrc.nsstc.nasa.gov/home/field-campaigns/ifloods

Tags

  • precipitation
  • atmospheric-water-vapor
  • atmosphere
  • earth-science

Topics

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