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 |
|---|---|---|---|
| This dataset's landing page | HTML | CHRS UC Irvine Data Portal | Open resource |
| View information related to this dataset | HTML | IFloodS Field Campaign Collection DOI | Open resource |
| View this dataset's publications | HTML | Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network | Open resource |
| View this dataset's publications | HTML | On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation | Open resource |
| View documentation related to this dataset | HTML | Instructions for citing GHRC data | Open resource |
| The dataset's project home page | HTML | GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment | Open resource |
| View documentation related to this dataset | The guide document contains detailed information about the dataset | Open resource | |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset | HTML | Files may be downloaded directly to your workstation from this link | Open resource |