A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions

Empirical Downscaling of Wind Speed Probability Distributions

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...

Constructing Random Probability Distributions

Abstrac: This article surveys several classes of iterative methods for constructing random probability distributions (or random convex functions, or random home­ omorphisms), and includes illustrative applications in statistics, optimal-control theory, and game theory. Computer simulations of these methods are fast and easy to implement.

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, ...

Downscaling Extremes: a Comparison of Extreme Value Distributions in Point-source and Gridded Precipitation Data By

There is substantial empirical and climatological evidence that precipitation extremes have become more extreme during the twentieth century, and that this trend is likely to continue as global warming becomes more intense. However, understanding these issues is limited by a fundamental issue of spatial scaling: most evidence of past trends comes from rain gauge data, whereas trends into the fu...