Analysis of future precipitation change in Shikoku region using statistical downscaling

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...

Statistical downscaling of precipitation

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Global Circulation Models (GCMs) are a major tool used for future projections of climate change using different emission scenarios. However, for assessing the hydrological impacts of climate change at the watershed and the regional scale, ...

climate change assessment over iran during future decades, using statistical downscaling of echo-g model

in spite of considerable increase in the resolution of general circulation and regional models, none of these models are capable to predict and downscale the meteorological outputs in the scale of meteorological station.in this regard, different dynamical and statistical models have been developed for downscaling outputs of gcms. in this paper, grided meteorological outputs of general circulati...

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...

Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed)