mlsanityData to 7 Oct 2026

IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation

arXiv 2107.03432 ↗First posted 7 Jul 2021cs.LG eess.SPcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 5 of its 13 references that are in the map. First posted on arXiv 7 Jul 2021.

Builds on

5 of 13 references.

References · 5

  1. 2020WeatherBench: A benchmark dataset for data-driven weather forecastingcited by 272
  2. 2019Tackling Climate Change with Machine Learningcited by 264
  3. 2020A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resourcescited by 30
  4. 2020RainBench: Towards Global Precipitation Forecasting from Satellite Imagerycited by 7
  5. 2020FlowDB a large scale precipitation, river, and flash flood datasetcited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 2; 2025: 2; 2026: 2.

10 papers.

  1. 2023ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modelingcited by 46
  2. 2023Foundation Models for Weather and Climate Data Understanding: A Comprehensive Surveycited by 32
  3. 2025Deep Learning and Foundation Models for Weather Prediction: A Surveycited by 15
  4. 2024Deep learning for precipitation nowcasting: A survey from the perspective of time series forecastingcited by 14
  5. 2025ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Methodcited by 4
  6. 2023EfficientTempNet: Temporal Super-Resolution of Radar Rainfallcited by 3
  7. 2021TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNscited by 2
  8. 2024Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implicationscited by 0
  9. 2026Earth Science Foundation Models: From Perception to Reasoning and Discoverycited by 0
  10. 2026RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challengescited by 0