Clustering Methods for Statistical Downscaling in Short-Range Weather Forecasts
نویسندگان
چکیده
منابع مشابه
Clustering Methods for Statistical Downscaling in Short-Range Weather Forecasts
In this paper an application of clustering algorithms for statistical downscaling in short-range weather forecasts is presented. The advantages of this technique compared with standard nearest-neighbors analog methods are described both in terms of computational efficiency and forecast skill. Some validation results of daily precipitation and maximum wind speed operative downscaling (lead time ...
متن کاملComparison of data-driven methods for downscaling ensemble weather forecasts
This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical weather ensemble forecasts generated by a medium range forecast (MRF) model. 5 Given the coarse resolution (about 200-km grid spacing) of the MR...
متن کاملShort-term Prediction of Weather Parameters Using Online Weather Forecasts
While people need to know tomorrow’s weather to decide suitable activities and precautions, so do the “intelligent” building management systems. The accuracy of the short-term prediction of the ambient conditions is particularly import for the development of predictive control strategies. Although the shortterm prediction methods for outside air temperature have been extensively studied, reliab...
متن کاملStatistical downscaling of precipitation through nonhomogeneous stochastic weather typing
We present a novel statistical downscaling method that provides accurate and relatively transparent simulations of local-scale precipitation characteristics. The method combines large-scale upper-air circulation with surface precipitation fields, and is based on a nonhomogeneous stochastic weather typing approach. Here we applay the method to downscale precipitation at 37 rain gauges in the sta...
متن کاملUse of long-range weather forecasts in crop predictions
Farmers, commodities dealers, water managers, and others have long sought to forecast production of major crops through the use of models requiring some sort of weather input. Steady strides have been made recently in developing physiological models of crops such as wheat and rice. Such models should include daily minimum and maximum temperatures, precipitation, and solar radiation. Up to now, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Monthly Weather Review
سال: 2004
ISSN: 0027-0644,1520-0493
DOI: 10.1175/1520-0493(2004)132<2169:cmfsdi>2.0.co;2