QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests

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QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests

Abstract: Precipitation is a key climatic variable and an important element of the hydrological cycle. Real-time precipitation measurements provide a powerful tool for real-time drought and flood monitoring, forecasting, and warning (

Cited by 9 publications

References 101 publications

Post-processing of the UKMO ensemble precipitation product over various regions of Iran: integration of long short-term memory model with principal component analysis

Post-processing of the UKMO ensemble precipitation product over various regions of Iran: integration of long short-term memory model with principal component analysis

A framework for merging precipitation retrievals and gauge-based observations based on a novel concept namely virtual gauges

Characterizing the uncertainty of CMORPH products for estimating orographic precipitation over Northern California

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