Changes in extremes and hydroclimatic regimes in the CREMA ensemble projections

Projection of temperature and heat waves for Africa with an ensemble of CORDEX Regional Climate Models

“…Haensler et al 2013;Laprise et al 2013;Buontempo et al 2014;Giorgi et al 2014), they are not, to our knowledge, publicly available through the Earth System Grid Federation (ESGF) server, and, consequently, they are not used in this study.…”

“…When using Regional Climate Models (RCMs) to dynamically downscale the projections of the global models, the GCMs' simulation skills are not always improved, especially for the general characteristics of the mean climatology; however added value is found especially in the fine scales and in the ability of RCM to simulate extreme events (e.g. Kim et al 2002;Diallo et al 2012;Paeth and Mannig 2012;Diaconescu and Laprise 2013;Crétat et al 2013;Haensler et al 2013;Laprise et al 2013;Buontempo et al 2014;Giorgi et al 2014;.…”

“…Nikulin et al 2012;Endris et al 2013;Kalognomou et al 2013;Kim et al 2014;Krähenmann et al 2013;Gbobaniyi et al 2014; and future projections Teichmann et al 2013;Giorgi et al 2014;Buontempo et al 2014;Mariotti et al 2014;Pinto et al 2015;Diallo et al 2016). However, all these studies focused mainly on precipitation and mean temperature, and only Giorgi et al (2014) provided explicit projections of heat waves duration, although based on the results of a single RCM.…”

Climate change projections for CORDEX-Africa with COSMO-CLM regional climate model and differences with the driving global climate models

“…Hong and Kanamitsu 2014); as a result, downscaling is not always able to improve the simulation skills of large-scale GCMs although added value in downscaling GCMs is found especially in the fine scales and in the ability of RCM to simulate extreme events (e.g. Kim et al 2002;Diallo et al 2012;Paeth and Mannig 2012;Diaconescu and Laprise 2013;Crétat et al 2013;Haensler et al 2013;Laprise et al 2013;Lee and Hong 2013;Buontempo et al 2014;Lee et al 2014;Giorgi et al 2014;Dosio et al 2015) In this work we present the results of the application of the COSMO-CLM RCM (CCLM) in the production of climate change projections for the CORDEX-Africa domain. This work builds on two previous studies: Panitz et al (2014) investigated the structural bias of CCLM driven by ERA-Interim (evaluation run), whereas Dosio et al (2015) analyzed the added value of downscaling lowresolution GCMs over the present climate (historical runs).…”

Greenhouse Gas Induced Changes in the Seasonal Cycle of the Amazon Basin in Coupled Climate-Vegetation Regional Model

“…As discussed by [5,6,[10][11][12][13][14][15][16], assessing the seasonal and spatial variation of thermodynamic fluxes is mandatory for a reasonable understanding of processes governing the exchange between the biosphere and the lower troposphere. For instance, Hutyra et al [17] argued that drought frequency is an excellent predictor of the forest-savanna boundary, indicating the key role of extreme climatic events for inducing vegetation change.…”