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

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.

GPM 地面验证降水估计遥感信息人工神经网络云分类系统（PERSIANN-CCS）IFloodS 数据集是从全球 30 分钟 PERSIANN-CCS 文件中选取的子集，这些文件在近实时模式下生成，并针对 GPM 地面验证爱荷华洪水研究（IFloodS）实地考察的时间段进行选择。IFloodS 的主要目标是通过地面仪器和先进的天气雷达收集地球表面降水的详细测量数据，并同时收集从上方经过的卫星数据。此 PERSIANN-CCS 数据产品以 ASCII 和 netCDF-4 格式提供，时间范围为 2013 年 4 月 1 日至 2013 年 7 月 1 日。