A weather-type statistical downscaling framework for ocean wave climate
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 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 کاملCopula based covariate selection in climate for statistical downscaling
It is imperative to accurately assess the impacts of climate change at regional scale in order to inform stakeholders to make policy decisions on critical infrastructures, management of natural resources, humanitarian aid, and emergency preparedness. However, Global Climate Models (GCMs) currently provide relatively coarse resolution outputs which preclude their application to accurately assess...
متن کاملClimate 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...
متن کاملSynoptic approach to forecasting and statistical downscaling of climate parameters (Case study: Golestan Province)
The present study attempts to introduce a method of statistical downscaling with a synoptic view. The precipitation data of Golestan Province has been used for the years 1971 to 2010. Employing multivariable regression, this study models the precipitation gauges in the station scale, by making use of 26 predicting components of model HadCM3, on the basis of two A2 and B2 scenarios. However, the...
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: Journal of Geophysical Research: Oceans
سال: 2014
ISSN: 2169-9275
DOI: 10.1002/2014jc010141