PERSIANN-CCS Satellite Precipitation Data for Iowa Flood Studies

Precipitation estimates derived from satellite data using an artificial neural network cloud classification system. This dataset is a subset of global 30-minute files, generated in near-real time for the Iowa Flood Studies (IFloodS) field campaign from April 1 to July 1, 2013. The data was produced by NASA to support the validation of satellite precipitation measurements against ground instruments and advanced weather radars.

Use Cases

• Validating satellite-derived precipitation rates against ground-based radar and instrument data collected during the IFloodS campaign.
• Analyzing spatial and temporal patterns of precipitation in Iowa during the spring and early summer of 2013.
• Improving flood forecasting models by integrating high-temporal-resolution (30-minute) satellite precipitation estimates.
• Assessing the performance of the PERSIANN-CCS neural network algorithm for precipitation estimation in a mid-latitude region.

Strengths

• Data is supported by a dedicated ground validation campaign (IFloodS) using advanced instruments and radars.
• Provides high-temporal-resolution estimates with a 30-minute update cycle.
• Dataset is hosted by NASA, a leading authority in Earth science and remote sensing.
• Available in both ASCII and netCDF-4 formats, supporting different analysis workflows.

Limitations

• Exact row count, file size, and specific column names are not provided by any source.
• Sources conflict on the 'last updated' date: one platform lists 2026-03-13, while another lists 2013-07-01.
• Temporal coverage is limited to a three-month period in 2013.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Subset from global 30-minute PERSIANN-CCS files generated in near-real time, selected for the IFloodS campaign period.

Time Range

April 1, 2013 through July 1, — 2013

Freshness

2026-03-13 02:19:42.189368

Geography

Focus area of the Iowa Flood Studies (IFloodS) campaign, subset from global coverage.