Downscaling Extremes—An Intercomparison of Multiple Statistical Methods for Present Climate

Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods

Downscaling of climate model data is essential to local and regional impact analysis. We compare two methods of statistical downscaling to produce continuous, gridded time series of precipitation and surface air temperature at a 1/8-degree (approximately 140 km2 per grid cell) resolution over the western U.S. We use NCEP/NCAR Reanalysis data from 1950–1999 as a surrogate General Circulation Mod...

Pcic’s Downscaling Intercomparison Project Evaluated the Ability of Different Statistical Downscaling Methods to Reproduce Historical Climate Extremes and Compared Their Projections of Future Climate Extremes the Two Main Downscaling Methods Used by Pcic Showed the Best Performance

Statistical downscaling of the French Mediterranean climate: assessment for present and projection in an anthropogenic scenario

The Mediterranean basin is a particularly vulnerable region to climate change, featuring a sharply contrasted climate between the North and South and governed by a semi-enclosed sea with pronounced surrounding topography covering parts of the Europe, Africa and Asia regions. The physiographic specificities contribute to produce mesoscale atmospheric features that can evolve to high-impact weath...

Present and LGM permafrost from climate simulations: contribution of statistical downscaling

We quantify the agreement between permafrost distributions from PMIP2 (Paleoclimate Modeling Intercomparison Project) climate models and permafrost data. We evaluate the ability of several climate models to represent permafrost and assess the variability between their results. Studying a heterogeneous variable such as permafrost implies conducting analysis at a smaller spatial scale compared wi...

Copula 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...