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  How does a regional climate model modify the projected climate change signal of the driving GCM: A study over different CORDEX regions using REMO

Teichmann, C., Eggert, B., Elizalde, A., Haensler, A., Jacob, D., Kumar, P., et al. (2013). How does a regional climate model modify the projected climate change signal of the driving GCM: A study over different CORDEX regions using REMO. Atmosphere, 4, 214-236. doi:10.3390/atmos4020214.

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Teichmann, Claas1, Author           
Eggert, Bastian, Author
Elizalde, Alberto2, Author           
Haensler, Andreas, Author
Jacob, Daniela1, Author           
Kumar, Pankaj1, Author           
Moseley, Christopher, Author
Pfeifer, Susanne, Author
Rechid, Diana1, Author           
Remedio, Armelle1, 3, Author           
Ries, Hinnerk, Author
Petersen, Juliane, Author
Preuschmann, Swantje1, Author           
Raub, Thomas1, Author
Saeed, Fahad, Author           
Sieck, Kevin1, Author           
Weber, Torsten, Author
Affiliations:
1Climate Modelling, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913569              
2Ocean Physics, ou_913557              
3IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913547              

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 Abstract: Global and regional climate model simulations are frequently used for regional climate change assessments and in climate impact modeling studies. To reflect the inherent and methodological uncertainties in climate modeling, the assessment of regional climate change requires ensemble simulations from different global and regional climate model combinations. To interpret the spread of simulated results, it is useful to understand how the climate change signal is modified in the GCM-RCM modelmodelgeneral circulation model-regional climate model (GCM-RCM) chain. This kind of information can also be useful for impact modelers; for the process of experiment design and when interpreting model results. In this study, we investigate how the simulated historical and future climate of the Max-Planck-Institute earth system model (MPI-ESM) is modified by dynamic downscaling with the regional model REMO in different world regions. The historical climate simulations for 1950–2005 are driven by observed anthropogenic forcing. The climate projections are driven by projected anthropogenic forcing according to different Representative Concentration Pathways (RCPs). The global simulations are downscaled with REMO over the Coordinated Regional Climate Downscaling Experiment (CORDEX) domains Africa, Europe, South America and West Asia from 2006–2100. This unique set of simulations allows for climate type specific analysis across multiple world regions and for multi-scenarios. We used a classification of climate types by Köppen-Trewartha to define evaluation regions with certain climate conditions. A systematic comparison of near-surface temperature and precipitation simulated by the regional and the global model is done. In general, the historical time period is well represented by the GCM and the RCM. Some different biases occur in the RCM compared to the GCM as in the Amazon Basin, northern Africa and the West Asian domain. Both models project similar warming, although somewhat less so by the RCM for certain regions and climate types. A common feature in regions of tropical climate types is that REMO shows dryer climate conditions than forMax Planck Institute for Meteorology-Earth System Model (MPI-ESM) for RCP 4.5 and RCP 8.5, leading to an opposing sign in the climate change signal. With an increase in radiative forcing from RCP 2.6 to RCP 8.5 and towards the end of the 21st century, some of the detected differences between GCM and RCM are more pronounced.

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Language(s): eng - English
 Dates: 2013-06-14
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/atmos4020214
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Title: Atmosphere
Source Genre: Journal
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Pages: - Volume / Issue: 4 Sequence Number: - Start / End Page: 214 - 236 Identifier: -