Downscaling of seasonal hindcasts over East Africa with the regional climate model (RCM) COSMO-CLM (CCLM), forced by the global climate model (GCM) and MPI-ESM, is evaluated. The simulations are done for five months (May to September) for a ten-year period (2000–2009), with the evaluation performed only for June to September. The dry years, 2002 and 2009, and the wet years, 2006 and 2007, are well captured by the models. By using ground based and satellite gridded observation data for evaluation it is found that both COSMO-CLM and MPI-ESM overestimate June to September precipitation over the Ethiopian highlands and in parts of the lowland with respect to all reference datasets. In addition we investigated the potential and real added value ...
For many regions of the world, current climate change projections are only available at coarser spat...
We investigate the impact of model formulation and horizontal resolution on the ability of Regional ...
<p>This study examines the performance of multi-model numerical simulations and multiobservational<b...
This study first assesses the performance of regional climate models in the Coordinated Regional Cli...
Within the FP7 EUPORIAS project we have assessed the utility of dynamical and statistical downscalin...
We have implemented dynamical downscaling of the Met Office GloSea5 global seasonal forecasting syst...
© 2015, Springer-Verlag Berlin Heidelberg.Kiremt-season (June–September) precipitation provides a si...
In order to overcome limitations of climate projections from Global Climate Models (GCMs), such as c...
The study assesses the performance of 24 model runs from five COordinated Regional climate Downscali...
Ethiopia is highly susceptible to the effects of climate change and variability. This study evaluate...
The U.S. National Multi-Model Ensemble seasonal forecasting system is providing hindcast and real-ti...
An ensemble of regional climate simulations is analyzed to evaluate the ability of 10 regional clima...
Climate change has increased extreme weather events over the planet. The most robust changes in East...
The East African precipitation seasonal cycle is of significant societal importance, and yet the cur...
In this work we present the results of the application 8 of the Consor- tium for Small-scale Modelin...
For many regions of the world, current climate change projections are only available at coarser spat...
We investigate the impact of model formulation and horizontal resolution on the ability of Regional ...
<p>This study examines the performance of multi-model numerical simulations and multiobservational<b...
This study first assesses the performance of regional climate models in the Coordinated Regional Cli...
Within the FP7 EUPORIAS project we have assessed the utility of dynamical and statistical downscalin...
We have implemented dynamical downscaling of the Met Office GloSea5 global seasonal forecasting syst...
© 2015, Springer-Verlag Berlin Heidelberg.Kiremt-season (June–September) precipitation provides a si...
In order to overcome limitations of climate projections from Global Climate Models (GCMs), such as c...
The study assesses the performance of 24 model runs from five COordinated Regional climate Downscali...
Ethiopia is highly susceptible to the effects of climate change and variability. This study evaluate...
The U.S. National Multi-Model Ensemble seasonal forecasting system is providing hindcast and real-ti...
An ensemble of regional climate simulations is analyzed to evaluate the ability of 10 regional clima...
Climate change has increased extreme weather events over the planet. The most robust changes in East...
The East African precipitation seasonal cycle is of significant societal importance, and yet the cur...
In this work we present the results of the application 8 of the Consor- tium for Small-scale Modelin...
For many regions of the world, current climate change projections are only available at coarser spat...
We investigate the impact of model formulation and horizontal resolution on the ability of Regional ...
<p>This study examines the performance of multi-model numerical simulations and multiobservational<b...