Abstract
The scope of WRFCLIM is to produce high resolution regional climate simulations with WRF from 1958 to 2100 in the framework of the BMBF funded ReKliEs-De (Regionales Klimaensemble für Deutschland) and the DFG funded research unit on regional climate change (FOR 1695) on a 0.11∘ (approx. 12 km) grid and further downscale one projection to 0.0275∘ (approx. 3 km) resolution within the FOR 1695 project from 2000 to 2040.
The overall goal of ReKliEs-De is to derive robust climate change information on high spatial resolution for Germany and the large river catchments draining into Germany from this unique model ensemble. The University of Hohenheim (UHOH) contributes five simulations using WRF to the joint Global Climate Model-Regional Climate Model-matrix, including pre- and post-processing of model input and output data, evaluation of the single model results and delivery of the resulting data to the partners for further post-processing, distribution and storage. The scientific focus of the analyses performed at UHOH is the estimation of the bandwidth of the ensemble results in close cooperation with the project partners.
It is the joint objective of the Research Unit on regional climate change to investigate the effects of global climate change on structure and functions of agricultural landscapes on a regional scale and to work out projections for their development until 2040 taking into consideration various possible socio-economic conditions and adaptation processes. In order to achieve these objectives, the WRF model is coupled with land surface and crop models as well as with multi agent systems in a new integrated land-system model system, and structure and parameterisation of various model components are optimised. Within WRFCLIM verification runs of WRF with and without the crop model GECROS, which includes recent improvements with respect to the representation of agricultural land cover, over Central Europe with convection-permitting (CP) resolution will be simulated downscaling ERA-Interim forced WRFCLIM simulation data from 0.11∘ are currently ongoing.
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References
H.S. Bauer, T. Weusthoff, M. Dorninger, V. Wulfmeyer, T. Schwitalla, T. Gorgas, M. Arpagaus, K. Warrach-Sagi, Predictive skill of a subset of models participating in D-PHASE in the COPS region. Q. J. R. Meteorol. Soc. 137(S1), 287–305 (2011)
D.P. Dee, S.M. Uppala, A.J. Simmons, P. Berrisford, P. Poli, S. Kobayashi, U. Andrae, M.A. Balmaseda, G. Balsamo, P. Bauer, P. Bechtold, A.C.M. Beljaars, L. van de Berg, J. Bidlot, N. Bormann, C. Delsol, R. Dragani, M. Fuentes, A.J. Geer, L. Haimberger, S.B. Healy, H. Hersbach, E.V. Hólm, L. Isaksen, P. Kållberg, M. Köhler, M. Matricardi, A.P. McNally, B.M. Monge-Sanz, J.J. Morcrette, B.K. Park, C. Peubey, P. de Rosnay, C. Tavolato, J.N. Thépaut, F. Vitart, The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137(656), 553–597 (2011). https://doi.org/10.1002/qj.828
P.A. Dirmeyer, B.A. Cash, J.L. Kinter III, C. Stan, T. Jung, L. Marx, P. Towers, N. Wedi, J.M. Adams, E.L. Altshuler, B. Huang, E.K. Jin, J. Manganello, Evidence for enhanced land–atmosphere feedback in a warming climate. J. Hydrometeorol. 13(3), 981–995 (2012). https://doi.org/10.1175/JHM-D-11-0104.1
H. Hübener, P. Hoffmann, K. Keuler, S. Pfeifer, H. Ramthun, A. Spekat, C. Steger, K. Warrach-Sagi, Deriving user-informed climate information from climate model ensemble results. Adv. Sci. Res. 14, 261–269 (2017). https://doi.org/10.5194/asr-14-261-2017
S. Kotlarski, K. Keuler, O.B. Christensen, A. Colette, M. Déqué, A. Gobiet, K. Goergen, D. Jacob, D. Lüthi, E. van Meijgaard, G. Nikulin, C. Schär, C. Teichmann, R. Vautard, K. Warrach-Sagi, V. Wulfmeyer, Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble. Geosci. Model Dev. 7(4), 1297–1333 (2014). https://doi.org/10.5194/gmd-7-1297-2014
R. Mahmood, R.A. Pielke, K.G. Hubbard, D. Niyogi, P.A. Dirmeyer, C. McAlpine, A.M. Carleton, R. Hale, S. Gameda, A. Beltrán-Przekurat, B. Baker, R. McNider, D.R. Legates, M. Shepherd, J. Du, P.D. Blanken, O.W. Frauenfeld, U. Nair, S. Fall, Land cover changes and their biogeophysical effects on climate. Int. J. Climatol. 34(4), 929–953 (2014). https://doi.org/10.1002/joc.3736
J. Milovac, O. Branch, H.S. Bauer, T. Schwitalla, K. Warrach-Sagi, V. Wulfmeyer, High-resolution WRF model simulations of critical land surface-atmosphere interactions within arid and temperate climates (WRFCLIM), in High Performance Computing in Science and Engineering ’15, ed. by W. Nagel, D. Kroener, M. Resch (Springer International Publishing, Cham, 2016), pp. 607–622. https://doi.org/10.1007/978-3-319-47066-5
V. Mohr, T. Schwitalla, V. Wulfmeyer, K.Warrach-Sagi, High-resolution climate projections using the WRF model on the HLRS, in Sustained Simulation Performance 2016, ed. by M. Resch, W. Bez, E. Focht, N. Patel, H. Kobayashi (Springer International Publishing, Cham, 2016), pp. 173–184. https://doi.org/110.1007/978-3-319-46735-1_14
V. Mohr, K. Warrach-Sagi, T. Schwitalla, H.S. Bauer, V. Wulfmeyer, High-resolution climate projections using the WRF model on the HLRS, in High Performance Computing in Science and Engineering ’16, ed. by W. Nagel, D. Kroener, M. Resch (Springer International Publishing, Cham, 2016), pp. 577–587. https://doi.org/10.1007/978-3-319-47066-5
A.F. Prein, A. Gobiet, M. Suklitsch, H. Truhetz, N.K. Awan, K. Keuler, G. Georgievski, Added value of convection permitting seasonal simulations. Clim. Dyn. 41(9), 2655–2677 (2013). https://doi.org/10.1007/s00382-013-1744-6
S.I. Seneviratne, T. Corti, E.L. Davin, M. Hirschi, E.B. Jaeger, I. Lehner, B. Orlowsky, A.J. Teuling, Investigating soil moisture–climate interactions in a changing climate: a review. Earth Sci. Rev. 99(3), 125–161 (2010). https://doi.org/10.1016/j.earscirev.2010.02.004
W.C. Skamarock, J.B. Klemp, J. Dudhia, D. Gill, D.O. Barker, M.G. Duda, W. Wang, J.G. Powers, A description of the advanced research WRF Version 3. NCAR Technical Note TN-475+STR, NCAR, Boulder/CO (2008). http://www.mmm.ucar.edu/wrf/users/docs/arw_v3.pdf
M. Stéfanon, P. Drobinski, F. D’Andrea, C. Lebeaupin-Brossier, S. Bastin, Soil moisture-temperature feedbacks at meso-scale during summer heat waves over Western Europe. Clim. Dyn. 42(5), 1309–1324 (2014). https://doi.org/10.1007/s00382-013-1794-9
K.E. Taylor, R.J. Stouffer, G.A. Meehl, An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93(4), 485–498 (2012). https://doi.org/10.1175/BAMS-D-11-00094.1
D.P. van Vuuren, J.A. Edmonds, M. Kainuma, K. Riahi, J. Weyant, A special issue on the RCPs. Clim. Chang. 109, 1 (2011)
K. Warrach-Sagi, T. Schwitalla, V. Wulfmeyer, H.S. Bauer, Evaluation of a climate simulation in Europe based on the WRF-NOAH Model System: precipitation in Germany. Clim. Dyn. 41(3–4), 755–774 (2013). https://doi.org/10.1007/S00382-013-1727-7
K. Warrach-Sagi, H.S. Bauer, T. Schwitalla, J. Milovac, O. Branch, V. Wulfmeyer, High-resolution climate predictions and short-range forecasts to improve the process understanding and the representation of land-surface interactions in the WRF model in Southwest Germany (WRFCLIM), in High Performance Computing in Science and Engineering ’14, ed. by W. Nagel, D. Kroener, M. Resch (Springer International Publishing, Berlin/Heidelberg, 2015), pp. 575–592
Acknowledgements
This work is part of the ReKliEs-De project funded by the BMBF (Federal Ministry for Education and Research) and the Research Unit 1695 funded by the DFG (Deutsche Forschungsgemeinschaft). We are thankful for the support from the staff of the DKRZ (Deutsches Klimarechenzentrum), to be able to access GCM data. Computational Resources for the model simulations on the CRAY XE6 and XC40 within WRFCLIM were kindly provided by HLRS, we thank staff for their great support.
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Warrach-Sagi, K., Mohr, V., Wulfmeyer, V. (2018). High Resolution WRF Simulations for Climate Change Studies in Germany. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ' 17 . Springer, Cham. https://doi.org/10.1007/978-3-319-68394-2_25
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DOI: https://doi.org/10.1007/978-3-319-68394-2_25
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