Two statistical approaches for linking large-scale atmospheric circulation patterns and daily local rainfall are described and applied to several GCM (general circulation model) climate simulations. The ultimate objective is to simulate local precipitation associated with alternative climates. The index stations are located near the West and East North American coasts. The first method is based on CART analysis (Classification and Regression trees). It finds the classification of observed daily SLR (sea level pressure) fields in weather types that are most strongly associated with the presence/absence of rainfall in a set of index stations. The best results were obtained for winter rainfall for the West Coast, where a set of physically reas...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Two statistical approaches for linking large-scale atmospheric circulation patterns and daily local ...
Two statistical approaches for linking large-scale atmospheric circulation patterns and daily local ...
A stochastic model is developed for the synthesis of daily precipitation using conditioning by wea...
Changes in the characteristics of daily precipitation in response to global warming may have serious...
Although General Circulation Models (GCMs) are used to provide insight into scenario planning, ecolo...
Although General Circulation Models (GCMs) are used to provide insight into scenario planning, ecolo...
Although General Circulation Models (GCMs) are used to provide insight into scenario planning, ecolo...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Two statistical approaches for linking large-scale atmospheric circulation patterns and daily local ...
Two statistical approaches for linking large-scale atmospheric circulation patterns and daily local ...
A stochastic model is developed for the synthesis of daily precipitation using conditioning by wea...
Changes in the characteristics of daily precipitation in response to global warming may have serious...
Although General Circulation Models (GCMs) are used to provide insight into scenario planning, ecolo...
Although General Circulation Models (GCMs) are used to provide insight into scenario planning, ecolo...
Although General Circulation Models (GCMs) are used to provide insight into scenario planning, ecolo...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
International audienceAbstract Precipitation is highly variable in space and time; hence, rain gauge...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...
Precipitation is highly variable in space and time; hence, rain gauge time series generally exhibit ...