IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
This dataset addresses the need for reliable benchmark data for practitioners and researchers in environmental planning, enabling better disaster monitoring and response through predictive and prescriptive modeling.
The study introduces IowaRain, a comprehensive rainfall event dataset for Iowa (2016-2019) derived from NEXRAD radar and processed with quantitative precipitation estimation, aimed at improving environmental modeling for climate change adaptation.
Effective environmental planning and management to address climate change could be achieved through extensive environmental modeling with machine learning and conventional physical models. In order to develop and improve these models, practitioners and researchers need comprehensive benchmark datasets that are prepared and processed with environmental expertise that they can rely on. This study presents an extensive dataset of rainfall events for the state of Iowa (2016-2019) acquired from the National Weather Service Next Generation Weather Radar (NEXRAD) system and processed by a quantitative precipitation estimation system. The dataset presented in this study could be used for better disaster monitoring, response and recovery by paving the way for both predictive and prescriptive modeling.