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GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS V1
Entry ID: gpmpersucifld_1


Summary
Abstract: 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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Geographic Coverage
Spatial coordinates   
  N: 45.24   S: 39.36   E: -87.16   W: -96.84

Data Set Citation
Version: 1
Other Citation Details: 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 Hydrology Resource Center DAAC, Huntsville, Alabama, U.S.A. DOI: http://dx.doi.org/10.5067/GPMGV/IFLOODS/PERSIANN/DATA101
Temporal Coverage
Start Date: 2013-04-01
Stop Date: 2013-07-01
Data Resolution
Temporal Resolution: 1 minute - < 1 hour
Platform
start here with 1 in span in link Ancillary Description
here with 2 in span in link Ancillary Description
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Access Constraints This product has full public access.
Data Set Progress
COMPLETE
Distribution
Distribution Format: ASCII - netCDF-4
Fees: 0.0
Extended Metadata Properties
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Creation and Review Dates
Last DIF Revision Date: 2018-08-08




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