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...
متن کاملEast China summer rainfall variability of 1958-2000: Dynamical downscaling with a variable-resolution AGCM
A variable-grid atmospheric general circulation model, namely, Laboratoire de Météorologie Dynamiquezoom, version 4 (LMDz4), with a local zoom over eastern China, is driven by 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) data and is used as a downscaling tool of summer rainfall variability for the period 1958–2000. During the integration, the model tempe...
متن کاملSpatial and temporal variability of rainfall erosivity factor for Switzerland
Rainfall erosivity, considering rainfall amount and intensity, is an important parameter for soil erosion risk assessment under future land use and climate change. Despite its importance, rainfall erosivity is usually implemented in models with a low spatial and temporal resolution. The purpose of this study is to assess the temporaland spatial distribution of rainfall erosivity in form of the ...
متن کاملHARRIS AND FOUFOULA-GEORGIOU: CLOUD MODEL DOWNSCALING Subgrid variability and stochastic downscaling of modeled clouds: Effects on radiative transfer computations for rainfall retrieval
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...
متن کاملDownscaling Modeling Using Support Vector Regression for Rainfall Prediction
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: Water Resources Research
سال: 2007
ISSN: 0043-1397
DOI: 10.1029/2006wr005505