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RISA Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products
Publisher: American Meteorological Society
Abstract: espite the advantage of global coverage at high spatiotemporal resolutions, satellite remotely sensed precipitation estimates still suffer from insufficient accuracy that needs to be improved for weather, climate, and ...
Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches
Publisher: American Meteorological Society
Abstract: n the development of a satellite-based precipitation product, two important aspects are sufficient precipitation information in the satellite-input data and proper methodologies, which are used to extract such information ...
A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information
Publisher: American Meteorological Society
Abstract: AbstractCompared to ground precipitation measurements, satellite-based precipitation estimation products have the advantage of global coverage and high spatiotemporal resolutions. However, the accuracy of satellite-based ...