Downscaling climate model outputs into local and regional weather elements by classification and regression
نویسندگان
چکیده
منابع مشابه
Climate change scenarios generated by using GCM outputs and statistical downscaling in an arid region
Two statistical downscaling models, the non-homogeneous hidden Markov model (NHMM) and the Statistical Down–Scaling Model (SDSM) were used to generate future scenarios of both mean and extremes in the Tarim River basin,which were based on nine combined scenarios including three general circulation models (GCMs) (CSIRO30, ECHAM5,and GFDL21) predictor sets and three special report on emission sce...
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Downscaling global weather prediction model outputs to individual locations or local scales is a common practice for operational weather forecast in order to correct the model outputs at subgrid scales. This paper presents an empirical-statistical downscaling method for precipitation prediction which uses a feed-forward multilayer perceptron MLP neural network. The MLP architecture was optimize...
متن کاملComparison of climate change scenarios generated from regional climate model experiments and statistical downscaling
We compare regional climate change scenarios (temperature and precipitation) over eastern Nebraska produced by a semiempirical statistical downscaling (SDS) technique and regional climate model (RegCM2) experiments, both using large scale information from the same coarse resolution general circulation model (GCM) control and 2 x COe simulations. The SDS method is based on the circulation patter...
متن کاملRegional climate model downscaling of the U.S. summer climate and future change
[1] A mesoscale model (MM5)–based regional climate model (CMM5) integration driven by the Parallel Climate Model (PCM), a fully coupled atmosphere-ocean-land-ice general circulation model (GCM), for the present (1986–1995) summer season climate is first compared with observations to study the CMM5’s downscaling skill and uncertainty over the United States. The results indicate that the CMM5, wi...
متن کاملHydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs
Six approaches for downscaling climate model outputs for use in hydrologic simulation were evaluated, with particular emphasis on each method’s ability to produce precipitation and other variables used to drive a macroscale hydrology model applied at much higher spatial resolution than the climate model. Comparisons were made on the basis of a twenty-year retrospective (1975– 1995) climate simu...
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ژورنال
عنوان ژورنال: Climate Research
سال: 1997
ISSN: 0936-577X,1616-1572
DOI: 10.3354/cr008195