Dataset Groups Activity Stream Uncertainty estimation of machine learning spatial precipitation predictions from satellite data This dataset is used for merging satellite and gauge-measured precipitation data. It contains 91,623 samples with 17 predictor variables. BibTex: @dataset{Georgia_Papacharalampous_and_Hristos_Tyralis_and_Nikolaos_Doulamis_and_Anastasios_Doulamis_2024, abstract = {This dataset is used for merging satellite and gauge-measured precipitation data. It contains 91,623 samples with 17 predictor variables.}, author = {Georgia Papacharalampous and Hristos Tyralis and Nikolaos Doulamis and Anastasios Doulamis}, doi = {10.57702/2db0m1gm}, institution = {No Organization}, keyword = {'machine learning', 'precipitation', 'quantile regression', 'satellite data', 'spatial prediction'}, month = {dec}, publisher = {TIB}, title = {Uncertainty estimation of machine learning spatial precipitation predictions from satellite data}, url = {https://service.tib.eu/ldmservice/dataset/uncertainty-estimation-of-machine-learning-spatial-precipitation-predictions-from-satellite-data}, year = {2024} }
