This article reviews the historical development of statistical weather models, from simple
analyses of runs of consecutive rainy and dry days at single sites, through to multisite …

The scientific literature of the past decade contains a large number of reports detailing the
development of downscaling methods and the use of hydrologic models to assess the …

Short-term rainfall forecasting plays an important role in hydrologic modeling and water
resource management problems such as flood warning and real time control of urban …

A range of different statistical downscaling models was calibrated using both observed and
general circulation model (GCM) generated daily precipitation time series and …

The familiar chain-dependent-process stochastic model of daily precipitation, consisting of a
two-state, first-order Markov chain for occurrences and a mixed exponential distribution for …

What elements should a parsimonious model reproduce at a single scale to precisely
simulate rainfall at many scales? We posit these elements are:(a) the probability of dry and …

The effects of different formulations for the occurrence-and amounts-components of
stochastic daily precipitation (ie,weather generator') models are investigated with respect to …

The generation of rainfall and other climate data needs a range of models depending on the
time and spatial scales involved. Most of the models used previously do not take into …

Hydroclimatic processes come in all “shapes and sizes”. They are characterized by different
spatiotemporal correlation structures and probability distributions that can be continuous …

Climate change impacts on potential and rainfed crop yields on the European continent
were studied using output of three General Circulation Models and the Crop Growth …