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Climate Hazards group Infrared Precipitation with Stations (CHIRPS)
Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset, a global interpolated dataset of daily precipitation providing a spatial resolution of 0.05 degrees. -
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolu...
The dataset used in this paper is a collection of hourly precipitation forecasts from two governmental reforecasting projects operated by governmental weather services. -
Integrated Multi-satellitE Retrievals for the Global Precipitation Measuremen...
Precipitation is a key part of hydrological circulation and is a sensitive indicator of climate change. The Integrated Multi-satellitE Retrievals for the Global Precipitation... -
Rainformer Dataset
The Rainformer dataset is a radar-based precipitation nowcasting dataset. -
KNMI Dataset for Precipitation Nowcasting
The dataset used in this paper is a comprehensive dataset from the Royal Netherlands Meteorological Institute (KNMI) for precipitation nowcasting. -
Precipitation dataset
The dataset used in this paper for estimating predictive uncertainty in satellite precipitation interpolation with ensemble learning. -
Dutch precipitation map dataset
The dataset is used for precipitation nowcasting tasks. -
Precipitation Nowcasting using Deep Neural Network
Precipitation nowcasting dataset based on radar echo, collected by METEO FRANCE in France from 2017 to 2018. -
Uncertainty estimation of machine learning spatial precipitation predictions ...
This dataset is used for merging satellite and gauge-measured precipitation data. It contains 91,623 samples with 17 predictor variables. -
Radar and in-situ precipitation datasets across South Korea
This dataset contains radar reflectivity images around South Korea, and the locations of weather stations over South Korea. -
California Wildfires Dataset
The dataset used in this study is a collection of 104 major California wildfires occurring between 2013 and 2020, each with burn areas exceeding 3000 acres.
