Results 91 to 100 of about 12,847 (248)
Evidence of added value in North American regional climate model hindcast simulations using ever-increasing horizontal resolutions [PDF]
, 2016 Commonly termed “added value”, the additional regional details gained by high-resolution regional climate models (RCMs) over the coarser resolution reanalysis driving data are often indistinguishable at the 0.44° grid mesh computationally affordable ...
Laprise, René +2 more
core +1 more source
Climate of Syria Based on Cordex Simulations: Present and Future
Earth Systems and Environment, 2023 Regional climate models are widely used to assess current and future impacts of climate change. In this study, we evaluate the performance of regional climate models from the Coordinated Regional Climate Downscaling Experiment programme integrated over ...
Nour Naaouf, C. Torma
semanticscholar +1 more source
How Do Projections of Meteorological Droughts Vary Across Models and Regions?
Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.Abstract Quantifying how and where climate change will alter meteorological drought properties is a priority to inform adaptation policies. Here we use the standardized precipitation index to portray future changes in the climatological properties of moderate drought events projected by the latest generation of Earth system models.
H. Douville
wiley +1 more source
EURO-CORDEX-CMIP6 RCM component description
, 2023 This document provides an overview of the components of Regional Climate Models (RCMs) that are used in generating future regional climate change simulations for the EURO-CORDEX initiative under the CORDEX-CMIP6 protocol. The document is continuously updated by the modelling teams.
openaire +1 more source
APN Science Bulletin, 2023 The Coordinated Regional Climate Downscaling Experiment (CORDEX) Southeast Asia further downscaled three of its 25 km products, i.e. EC-Earth, HadGEM2-ES and MPI-ESM-MR forced regional climate simulations to a higher resolution of 5 km.
J. Chung +18 more
semanticscholar +1 more source
Strategies for Statistical‐Dynamical Downscaling to Urban Climate Using Global Data
International Journal of Climatology, Volume 46, Issue 2, February 2026.For the statistical part of statistical‐dynamical downscaling, a new formulation for the climate statistics is found. For the dynamical part of statistical‐dynamical downscaling, one‐way nesting with three nests (HH250) and one times nesting with a non‐uniform grid (HH6to250) are performed and evaluated.
Marita Boettcher +6 more
wiley +1 more source
CORDEX: Climate Research and Information for Regions
Bulletin of the American Meteorological Society, 2017 More than 300 scientists, all interested in regional climate, came together at Stockholm University, in Sweden, on 17–20 May 2016 for the Third International Conference on Coordinated Regional Climate Downscaling Experiment (CORDEX). Out of over 460 abstracts submitted to the conference, 89 oral presentations and 306 posters were presented during three
Lake, Iréne +3 more
openaire +2 more sources
High-resolution Med-CORDEX regional climate model simulations for hydrological impact studies: a first evaluation of the ALADIN-Climate model in Morocco [PDF]
Hydrology and Earth System Sciences, 2013 In the framework of the international CORDEX program, new regional climate model (RCM) simulations at high spatial resolutions are becoming available for the Mediterranean region (Med-CORDEX initiative).
Y. Tramblay +4 more
doaj +1 more source
Atmosphere, 2021 In semiarid areas, the climate is characterized by strong spatiotemporal variability while the meteorological ground network is often very sparse. In this context, the spatial distribution of meteorological variables is thus a real issue for watershed ...
Ahmed Moucha +9 more
doaj +1 more source
Environmental Systems Research, 2023 Climate models are basic tools to obtain reliable estimates of future climate change and its effects on the water resources and agriculture in given basin. However, all climate models are not equally valuable for all areas.
Meaza Kassahun, Kassahun Ture, D. Nedaw
semanticscholar +1 more source