Abstract Internal variability, multiple emission scenarios, and different model responses to anthropogenic forcing are ultimately behind a wide range of uncertainties that arise in climate change projections. Model weighting approaches generally used reduce the uncertainty related choice model. This study compares three multi-model combination approaches: simple arithmetic mean two recently dev...

For the first time for CORDEX-South Asia, a high-resolution regional earth system model (ROM) is adopted to assess impact of horizontal resolution (0.22° and 0.11°) in simulating Indian summer monsoon rainfall (ISMR) underlying spatiotemporal variability. ROM at both resolutions bears close resemblance observations mean precipitation climatology compared other climate models (RCMs) participated...

There are two main approaches to downscale global climate projections: dynamical and statistical downscaling. Both families have been widely evaluated, but intercomparison studies between the scarce, usually limited temperature precipitation. In this work, we present a comparison downscaling model (SDM) based on machine learning six regional models (RCMs) from EURO-CORDEX, for five variables of...

Five regional climate models (RCMs)—CCLM, RegCM, HadGEM3-RA, SNURCM and WRF—participating in the Coordinated Regional Climate Downscaling Experiment-East Asia (CORDEX-EA) Phase 2 project are evaluated for their ability to simulate spatiotemporal variability Asian summer precipitation. For this purpose, two dynamical downscaling sets, experiments forced by ERA-Interim reanalysis data (reproducti...

In this study, projected changes in climate extreme indices defined by the Expert Team on Climate Change Detection and Indices were investigated over Middle East North Africa. Changes daily maximum minimum temperature- precipitation- based analyzed for end of 21st century compared to reference period 1971–2000 using regional model simulations. Regional model, RegCM4.4 was used downscale two dif...

Abstract Angola has been characterized as one of the most vulnerable regions to climate change. Climate change compounded by existing poverty, a legacy conflict and other risk factors, currently impede development are expected become worse impacts increase. In this study we analyze signal on temperature rainfall variables for two time periods, 2020–2040 2040–2060. The analysis is based multi-mo...

Abstract. In the recent past, an increase in computation resources led to development of regional climate models with increasing domains and resolutions, spanning larger temporal periods. A good example is World Climate Research Program – Coordinated Regional Downscaling Experiment for European domain (EURO-CORDEX). This set encompasses entire continent a 130-year common period until end 21st c...