Stochastic rainfall interpolation and downscaling
نویسندگان
چکیده
منابع مشابه
Meteorological uncertainty and rainfall downscaling
We explore the sources of forecast uncertainty in a mixed dynamical-stochastic ensemble prediction chain for small-scale precipitation, suitable for hydrological applications. To this end, we apply the stochastic downscaling method RainFARM to each member of ensemble limitedarea forecasts provided by the COSMO-LEPS system. Aim of the work is to quantitatively compare the relative weights of the...
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0022-1694/$ see front matter Crown Copyright 2 http://dx.doi.org/10.1016/j.jhydrol.2013.02.046 ⇑ Corresponding author. Tel.: +61 293855140; fax: E-mail addresses: [email protected] (R. edu.au (A. Sharma), [email protected] (D. Nage iisc.ernet.in (T.V. Reshmidevi). Impact of global warming on daily rainfall is examined using atmospheric variables from five General Circulation Mod...
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The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) Goddard Profiling (GPROF) rainfall retrieval algorithm is an inversion type algorithm, which uses numerical cloud models and radiative transfer schemes to simulate the brightness temperatures that the TMI would see, thereby allowing one to relate hydrometeor profiles to brightness temperature. The variability in modeled hydro...
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Statistical downscaling is an effort to link global scale to local scale variable. It uses GCM model which usually used as a prime instrument in learning system of various climate. The purpose of this study is as a SD model by using SVR in order to predict the rainfall in dry season; a case study at Indramayu. Through the model of SD, SVR is created with linear kernel and RBF kernel. The result...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2001
ISSN: 1607-7938
DOI: 10.5194/hess-5-139-2001