Probabilistic Multisite Statistical Downscaling for Daily Precipitation Using a Bernoulli–Generalized Pareto Multivariate Autoregressive Model

Multisite downscaling of daily precipitation with a stochastic weather generator

Stochastic models of daily precipitation are useful both for characterizing different precipitation climates and for stochastic simulation of these climates in conjunction with agricultural, hydrological, or other response models. A simple stochastic precipitation model is used to downscale— i.e. disaggregate from area-average to individual station—precipitation statistics for 6 groups of 5 U.S...

Downscaling of daily precipitation

Downscaling of daily precipitation with a stochastic weather generator for the subtropical region in South China Y. D. Chen, X. Chen, C.-Y. Xu, and Q. Shao Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China Department of Geosci...

Statistical downscaling of precipitation

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Global Circulation Models (GCMs) are a major tool used for future projections of climate change using different emission scenarios. However, for assessing the hydrological impacts of climate change at the watershed and the regional scale, ...

A Hybrid Orographic plus Statistical Model for Downscaling Daily Precipitation in Northern California

A hybrid (physical–statistical) scheme is developed to resolve the finescale distribution of daily precipitation over complex terrain. The scheme generates precipitation by combining information from the upper-air conditions and from sparsely distributed station measurements; thus, it proceeds in two steps. First, an initial estimate of the precipitation is made using a simplified orographic pr...

Development of daily precipitation projections for the United States based on probabilistic downscaling