Deriving user-informed climate information from climate model ensemble results
Heike Huebener
CORRESPONDING AUTHOR
Hessian Agency for Nature Conservation, Environment and Geology
(HLNUG), 65203 Wiesbaden, Germany
Peter Hoffmann
Potsdam-Institut für Klimafolgenforschung (PIK), 14473 Potsdam,
Germany
Klaus Keuler
Brandenburg University of Technology (BTU) Cottbus-Senftenberg, Department of Environmental Meteorology, 03046 Cottbus, Germany
Susanne Pfeifer
Climate Service Center Germany (GERICS) Helmholtz-Zentrum Geesthacht,
20095 Hamburg, Germany
Hans Ramthun
Deutsches Klimarechenzentrum (DKRZ), 20146 Hamburg, Germany
Arne Spekat
Potsdam-Institut für Klimafolgenforschung (PIK), 14473 Potsdam,
Germany
Climate and Environment Consulting Potsdam GmbH (CEC), 14469 Potsdam,
Germany
Christian Steger
Deutscher Wetterdienst (DWD), 63067 Offenbach, Germany
Kirsten Warrach-Sagi
University of Hohenheim, Department of Physics and Meteorology, 70593 Stuttgart, Germany
Related authors
Katharina Bülow, Heike Huebener, Klaus Keuler, Christoph Menz, Susanne Pfeifer, Hans Ramthun, Arne Spekat, Christian Steger, Claas Teichmann, and Kirsten Warrach-Sagi
Adv. Sci. Res., 16, 241–249, https://doi.org/10.5194/asr-16-241-2019, https://doi.org/10.5194/asr-16-241-2019, 2019
Short summary
Short summary
In the German regional climate modeling project ReKliEs-De changes in temperature and precipitation indices are calculated from a multi model ensemble for the end of the 21st century. The results for the mitigation scenario RCP2.6 are compared to the results of the “business as usual” scenario RCP8.5. The increase of mean annual temperature and of the number of summer days will be around 3 times higher and in summer, the increase of dry days could be twice as high in RCP8.5 compared to RCP2.6.
Oliver Branch, Lisa Jach, Thomas Schwitalla, Kirsten Warrach-Sagi, and Volker Wulfmeyer
Earth Syst. Dynam., 15, 109–129, https://doi.org/10.5194/esd-15-109-2024, https://doi.org/10.5194/esd-15-109-2024, 2024
Short summary
Short summary
In the United Arab Emirates, water scarcity is reaching a crisis point, and new methods for obtaining freshwater are urgently needed. Regional climate engineering with large artificial heat islands can enhance desert precipitation by increasing cloud development. Through model simulation, we show that heat islands of 20 × 20 km or larger can potentially produce enough annual rainfall to supply thousands of people. Thus, artificial heat islands should be made a high priority for further research.
Thomas Schwitalla, Lisa Jach, Volker Wulfmeyer, and Kirsten Warrach-Sagi
EGUsphere, https://doi.org/10.5194/egusphere-2023-1725, https://doi.org/10.5194/egusphere-2023-1725, 2023
Short summary
Short summary
During the last decades, Europe experienced severe drought and heatwave conditions. To provide an overview, how land-surface conditions shape land-atmosphere (LA) coupling, the interannual LA coupling strength variability for the summer seasons 1991–2022 is investigated. The results clearly reflect the ongoing climate change by a shift in the coupling relationships toward reinforced heating and drying by the land surface under heatwave and drought conditions.
Efi Rousi, Andreas H. Fink, Lauren S. Andersen, Florian N. Becker, Goratz Beobide-Arsuaga, Marcus Breil, Giacomo Cozzi, Jens Heinke, Lisa Jach, Deborah Niermann, Dragan Petrovic, Andy Richling, Johannes Riebold, Stella Steidl, Laura Suarez-Gutierrez, Jordis S. Tradowsky, Dim Coumou, André Düsterhus, Florian Ellsäßer, Georgios Fragkoulidis, Daniel Gliksman, Dörthe Handorf, Karsten Haustein, Kai Kornhuber, Harald Kunstmann, Joaquim G. Pinto, Kirsten Warrach-Sagi, and Elena Xoplaki
Nat. Hazards Earth Syst. Sci., 23, 1699–1718, https://doi.org/10.5194/nhess-23-1699-2023, https://doi.org/10.5194/nhess-23-1699-2023, 2023
Short summary
Short summary
The objective of this study was to perform a comprehensive, multi-faceted analysis of the 2018 extreme summer in terms of heat and drought in central and northern Europe, with a particular focus on Germany. A combination of favorable large-scale conditions and locally dry soils were related with the intensity and persistence of the events. We also showed that such extremes have become more likely due to anthropogenic climate change and might occur almost every year under +2 °C of global warming.
Veronika Ettrichrätz, Christian Beier, Klaus Keuler, and Katja Trachte
EGUsphere, https://doi.org/10.5194/egusphere-2023-552, https://doi.org/10.5194/egusphere-2023-552, 2023
Preprint archived
Short summary
Short summary
Will heavy precipitation increase under climate change by the end of this century? The analyses of 40 regional climate simulations for two climate scenarios show that large parts of northern, central, and eastern Europe will be affected by a robust increase in heavy and extreme precipitation, while southwestern Europe will rather experience a slight decrease. Both the increase and the affected areas can be up to twice as large in an extreme than in a more moderate greenhouse gas scenario.
Giannis Sofiadis, Eleni Katragkou, Edouard L. Davin, Diana Rechid, Nathalie de Noblet-Ducoudre, Marcus Breil, Rita M. Cardoso, Peter Hoffmann, Lisa Jach, Ronny Meier, Priscilla A. Mooney, Pedro M. M. Soares, Susanna Strada, Merja H. Tölle, and Kirsten Warrach Sagi
Geosci. Model Dev., 15, 595–616, https://doi.org/10.5194/gmd-15-595-2022, https://doi.org/10.5194/gmd-15-595-2022, 2022
Short summary
Short summary
Afforestation is currently promoted as a greenhouse gas mitigation strategy. In our study, we examine the differences in soil temperature and moisture between grounds covered either by forests or grass. The main conclusion emerged is that forest-covered grounds are cooler but drier than open lands in summer. Therefore, afforestation disrupts the seasonal cycle of soil temperature, which in turn could trigger changes in crucial chemical processes such as soil carbon sequestration.
Lisa Jach, Thomas Schwitalla, Oliver Branch, Kirsten Warrach-Sagi, and Volker Wulfmeyer
Earth Syst. Dynam., 13, 109–132, https://doi.org/10.5194/esd-13-109-2022, https://doi.org/10.5194/esd-13-109-2022, 2022
Short summary
Short summary
The land surface can influence the occurrence of local rainfall through different feedback mechanisms. In Europe, this happens most frequently in summer. Here, we examine how differences in atmospheric temperature and moisture change where and how often the land surface can influence rainfall. The results show that the differences barely move the region of strong surface influence over Scandinavia and eastern Europe, but they can change the frequency of coupling events.
Silje Lund Sørland, Roman Brogli, Praveen Kumar Pothapakula, Emmanuele Russo, Jonas Van de Walle, Bodo Ahrens, Ivonne Anders, Edoardo Bucchignani, Edouard L. Davin, Marie-Estelle Demory, Alessandro Dosio, Hendrik Feldmann, Barbara Früh, Beate Geyer, Klaus Keuler, Donghyun Lee, Delei Li, Nicole P. M. van Lipzig, Seung-Ki Min, Hans-Jürgen Panitz, Burkhardt Rockel, Christoph Schär, Christian Steger, and Wim Thiery
Geosci. Model Dev., 14, 5125–5154, https://doi.org/10.5194/gmd-14-5125-2021, https://doi.org/10.5194/gmd-14-5125-2021, 2021
Short summary
Short summary
We review the contribution from the CLM-Community to regional climate projections following the CORDEX framework over Europe, South Asia, East Asia, Australasia, and Africa. How the model configuration, horizontal and vertical resolutions, and choice of driving data influence the model results for the five domains is assessed, with the purpose of aiding the planning and design of regional climate simulations in the future.
Thomas Schwitalla, Hans-Stefan Bauer, Kirsten Warrach-Sagi, Thomas Bönisch, and Volker Wulfmeyer
Atmos. Chem. Phys., 21, 4575–4597, https://doi.org/10.5194/acp-21-4575-2021, https://doi.org/10.5194/acp-21-4575-2021, 2021
Short summary
Short summary
A prototype of an air quality forecasting system (AQFS) on a turbulence-permitting (TP) horizontal resolution of 50 m is developed. AQFS is based on the WRF-Chem model and uses high-resolution emission data from different pollution sources. A simulation case study of a typical winter day in south Germany serves as a test bed. Results indicate that the complex topography plays an important role for the horizontal and vertical pollution distribution over the Stuttgart metropolitan area.
Claudia Tebaldi, Kevin Debeire, Veronika Eyring, Erich Fischer, John Fyfe, Pierre Friedlingstein, Reto Knutti, Jason Lowe, Brian O'Neill, Benjamin Sanderson, Detlef van Vuuren, Keywan Riahi, Malte Meinshausen, Zebedee Nicholls, Katarzyna B. Tokarska, George Hurtt, Elmar Kriegler, Jean-Francois Lamarque, Gerald Meehl, Richard Moss, Susanne E. Bauer, Olivier Boucher, Victor Brovkin, Young-Hwa Byun, Martin Dix, Silvio Gualdi, Huan Guo, Jasmin G. John, Slava Kharin, YoungHo Kim, Tsuyoshi Koshiro, Libin Ma, Dirk Olivié, Swapna Panickal, Fangli Qiao, Xinyao Rong, Nan Rosenbloom, Martin Schupfner, Roland Séférian, Alistair Sellar, Tido Semmler, Xiaoying Shi, Zhenya Song, Christian Steger, Ronald Stouffer, Neil Swart, Kaoru Tachiiri, Qi Tang, Hiroaki Tatebe, Aurore Voldoire, Evgeny Volodin, Klaus Wyser, Xiaoge Xin, Shuting Yang, Yongqiang Yu, and Tilo Ziehn
Earth Syst. Dynam., 12, 253–293, https://doi.org/10.5194/esd-12-253-2021, https://doi.org/10.5194/esd-12-253-2021, 2021
Short summary
Short summary
We present an overview of CMIP6 ScenarioMIP outcomes from up to 38 participating ESMs according to the new SSP-based scenarios. Average temperature and precipitation projections according to a wide range of forcings, spanning a wider range than the CMIP5 projections, are documented as global averages and geographic patterns. Times of crossing various warming levels are computed, together with benefits of mitigation for selected pairs of scenarios. Comparisons with CMIP5 are also discussed.
Trang Van Pham, Christian Steger, Burkhardt Rockel, Klaus Keuler, Ingo Kirchner, Mariano Mertens, Daniel Rieger, Günther Zängl, and Barbara Früh
Geosci. Model Dev., 14, 985–1005, https://doi.org/10.5194/gmd-14-985-2021, https://doi.org/10.5194/gmd-14-985-2021, 2021
Short summary
Short summary
A new regional climate model was prepared based on a weather forecast model. Slow processes of the climate system such as ocean state development and greenhouse gas emissions were implemented. A model infrastructure and evaluation tools were also prepared to facilitate long-term simulations and model evalution. The first ICON-CLM results were close to observations and comparable to those from COSMO-CLM, the recommended model being used at the Deutscher Wetterdienst and CLM Community.
Torben Schmith, Peter Thejll, Peter Berg, Fredrik Boberg, Ole Bøssing Christensen, Bo Christiansen, Jens Hesselbjerg Christensen, Marianne Sloth Madsen, and Christian Steger
Hydrol. Earth Syst. Sci., 25, 273–290, https://doi.org/10.5194/hess-25-273-2021, https://doi.org/10.5194/hess-25-273-2021, 2021
Short summary
Short summary
European extreme precipitation is expected to change in the future; this is based on climate model projections. But, since climate models have errors, projections are uncertain. We study this uncertainty in the projections by comparing results from an ensemble of 19 climate models. Results can be used to give improved estimates of future extreme precipitation for Europe.
Marie-Estelle Demory, Ségolène Berthou, Jesús Fernández, Silje L. Sørland, Roman Brogli, Malcolm J. Roberts, Urs Beyerle, Jon Seddon, Rein Haarsma, Christoph Schär, Erasmo Buonomo, Ole B. Christensen, James M. Ciarlo ̀, Rowan Fealy, Grigory Nikulin, Daniele Peano, Dian Putrasahan, Christopher D. Roberts, Retish Senan, Christian Steger, Claas Teichmann, and Robert Vautard
Geosci. Model Dev., 13, 5485–5506, https://doi.org/10.5194/gmd-13-5485-2020, https://doi.org/10.5194/gmd-13-5485-2020, 2020
Short summary
Short summary
Now that global climate models (GCMs) can run at similar resolutions to regional climate models (RCMs), one may wonder whether GCMs and RCMs provide similar regional climate information. We perform an evaluation for daily precipitation distribution in PRIMAVERA GCMs (25–50 km resolution) and CORDEX RCMs (12–50 km resolution) over Europe. We show that PRIMAVERA and CORDEX simulate similar distributions. Considering both datasets at such a resolution results in large benefits for impact studies.
Thomas Schwitalla, Kirsten Warrach-Sagi, Volker Wulfmeyer, and Michael Resch
Geosci. Model Dev., 13, 1959–1974, https://doi.org/10.5194/gmd-13-1959-2020, https://doi.org/10.5194/gmd-13-1959-2020, 2020
Short summary
Short summary
Performing seasonal simulations on horizontal grid resolutions of a few kilometres over the entire globe remains challenging. We demonstrate the added value of simulating large-scale patterns and feedbacks at 3 km resolution compared to a coarser-resolution forecast using the WRF numerical weather model on a latitude-belt domain. Results show an improvement of cloud coverage in the tropics, better representation of teleconnection, and improvements of precipitation patterns in different regions.
Bettina Steuri, Tanja Blome, Katharina Bülow, Juliane El Zohbi, Peter Hoffmann, Juliane Petersen, Susanne Pfeifer, Diana Rechid, and Daniela Jacob
Adv. Sci. Res., 17, 9–17, https://doi.org/10.5194/asr-17-9-2020, https://doi.org/10.5194/asr-17-9-2020, 2020
Short summary
Short summary
The goal of an interdisciplinary team of scientists at the Climate Service Center Germany (GERICS) was to make the findings of the special report IPCC SR1.5 more accessible to the citizens of Hamburg. Therefore, a flyer was created that is understandable to non-climate scientists, visually attractive and generates interest.
In this article, the authors provide insights into their teamwork, the underlying guiding principles as well as lessons learned that are of great value for future projects.
Edouard L. Davin, Diana Rechid, Marcus Breil, Rita M. Cardoso, Erika Coppola, Peter Hoffmann, Lisa L. Jach, Eleni Katragkou, Nathalie de Noblet-Ducoudré, Kai Radtke, Mario Raffa, Pedro M. M. Soares, Giannis Sofiadis, Susanna Strada, Gustav Strandberg, Merja H. Tölle, Kirsten Warrach-Sagi, and Volker Wulfmeyer
Earth Syst. Dynam., 11, 183–200, https://doi.org/10.5194/esd-11-183-2020, https://doi.org/10.5194/esd-11-183-2020, 2020
Katharina Bülow, Heike Huebener, Klaus Keuler, Christoph Menz, Susanne Pfeifer, Hans Ramthun, Arne Spekat, Christian Steger, Claas Teichmann, and Kirsten Warrach-Sagi
Adv. Sci. Res., 16, 241–249, https://doi.org/10.5194/asr-16-241-2019, https://doi.org/10.5194/asr-16-241-2019, 2019
Short summary
Short summary
In the German regional climate modeling project ReKliEs-De changes in temperature and precipitation indices are calculated from a multi model ensemble for the end of the 21st century. The results for the mitigation scenario RCP2.6 are compared to the results of the “business as usual” scenario RCP8.5. The increase of mean annual temperature and of the number of summer days will be around 3 times higher and in summer, the increase of dry days could be twice as high in RCP8.5 compared to RCP2.6.
Inne Vanderkelen, Jakob Zschleischler, Lukas Gudmundsson, Klaus Keuler, Francois Rineau, Natalie Beenaerts, Jaco Vangronsveld, and Wim Thiery
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-267, https://doi.org/10.5194/bg-2019-267, 2019
Manuscript not accepted for further review
Peter Hoffmann, Christoph Menz, and Arne Spekat
Adv. Sci. Res., 15, 107–116, https://doi.org/10.5194/asr-15-107-2018, https://doi.org/10.5194/asr-15-107-2018, 2018
Short summary
Short summary
The adjustment of bias, i.e., systematic errors, of climate models are a necessity when comparing results of an ensemble of these models. Usually, the meteorological parameters such as temperature or rainfall amounts themselves are subject to bias adjustments. We present a new method to apply bias adjustment to so-called climate indicators which are derived from those parameters, e.g., the number of days warmer than 30 °C or the number of days with more than 20 mm of rain.
Erik Kjellström, Grigory Nikulin, Gustav Strandberg, Ole Bøssing Christensen, Daniela Jacob, Klaus Keuler, Geert Lenderink, Erik van Meijgaard, Christoph Schär, Samuel Somot, Silje Lund Sørland, Claas Teichmann, and Robert Vautard
Earth Syst. Dynam., 9, 459–478, https://doi.org/10.5194/esd-9-459-2018, https://doi.org/10.5194/esd-9-459-2018, 2018
Short summary
Short summary
Based on high-resolution regional climate models we investigate European climate change at 1.5 and 2 °C of global warming compared to pre-industrial levels. Considerable near-surface warming exceeding that of the global mean is found for most of Europe, already at the lower 1.5 °C of warming level. Changes in precipitation and near-surface wind speed are identified. The 1.5 °C of warming level shows significantly less change compared to the 2 °C level, indicating the importance of mitigation.
Heiko Paeth, Christian Steger, Jingmin Li, Sebastian G. Mutz, and Todd A. Ehlers
Clim. Past Discuss., https://doi.org/10.5194/cp-2017-111, https://doi.org/10.5194/cp-2017-111, 2017
Manuscript not accepted for further review
Short summary
Short summary
We use a high-resolution regional climate model to investigate various episodes of distinct climate states over the Tibetan Plateau region during the Cenozoic rise of the Plateau and Quaternary glacial/interglacial cycles. The simulated changes are in good agreement with available paleo-climatic reconstructions from proxy data. It is shown that in some regions of the Tibetan Plateau the climate anomalies during the Quaternary have been as strong as the changes occurring during the uplift period.
Luis Samaniego, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Matthias Zink, Niko Wanders, Stephanie Eisner, Hannes Müller Schmied, Edwin H. Sutanudjaja, Kirsten Warrach-Sagi, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 4323–4346, https://doi.org/10.5194/hess-21-4323-2017, https://doi.org/10.5194/hess-21-4323-2017, 2017
Short summary
Short summary
We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.
Thomas Schwitalla, Hans-Stefan Bauer, Volker Wulfmeyer, and Kirsten Warrach-Sagi
Geosci. Model Dev., 10, 2031–2055, https://doi.org/10.5194/gmd-10-2031-2017, https://doi.org/10.5194/gmd-10-2031-2017, 2017
Short summary
Short summary
Due to computational constraints, extended-range forecasts on the convection-permitting (CP) scale are often performed using a limited-area model. To overcome disturbances by lateral boundary conditions, a CP latitude belt simulation in the Northern Hemisphere was performed for July and August 2013. This approach allows for the study of resolution and parameterization impacts. The results demonstrate an improved representation of the general circulation and precipitation patterns.
Fred Fokko Hattermann, Shaochun Huang, Olaf Burghoff, Peter Hoffmann, and Zbigniew W. Kundzewicz
Nat. Hazards Earth Syst. Sci., 16, 1617–1622, https://doi.org/10.5194/nhess-16-1617-2016, https://doi.org/10.5194/nhess-16-1617-2016, 2016
Short summary
Short summary
We report that a considerable increase in flood-related losses can be expected in Germany in a future warmer climate. The general significance of the study is supported by the fact that the outcome of an ensemble of global climate models (GCMs) and regional climate models (RCMs) was used as a climate driver for a hydrological model considering more than 3000 river basins in Germany.
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, and V. Wulfmeyer
Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, https://doi.org/10.5194/gmd-7-1297-2014, 2014
O. Branch, K. Warrach-Sagi, V. Wulfmeyer, and S. Cohen
Hydrol. Earth Syst. Sci., 18, 1761–1783, https://doi.org/10.5194/hess-18-1761-2014, https://doi.org/10.5194/hess-18-1761-2014, 2014
Cited articles
Anstey, J. A., Davini, P., Gray, L. J., Woollings, T. J., Butchart, N., Cagnazzo, C., Christiansen, B., Hardiman, S. C., Ossprey, S. M., and Yang, S.: Multi-model analysis of Northern Hemisphere winter blocking: Model biases and the role of resolution, J. Geophys. Res.-Atmos., 118, 3956–3971, https://doi.org/10.1002/jgrd.50231, 2013.
Bastos, A., Gouveia, C. M., Trigo, R. M., and Running, S. W.: Analysing the spatio-temporal impacts of the 2003 and 2010 extreme heatwaves on plant productivity in Europe, Biogeosciences, 11, 3421–3435, https://doi.org/10.5194/bg-11-3421-2014, 2014.
Bauer, H.-S., Weusthoff, T., Dorninger, M., Wulfmeyer, V., Schwitalla, T., Gorgas, T., Arpagaus, M., and Warrach-Sagi, K.: Predictive skill of a subset of the D-PHASE multi-model ensemble in the COPS region, Q. J. Roy. Meteor. Soc., 137, 287–305, https://doi.org/10.1002/qj.715, 2011.
Black, R.: No more summaries for wonks, Nature Climate Change, 5, 282–284, https://doi.org/10.1038/nclimate2534, 2015.
Christensen, J. H. and Christensen, O. B.: A summary of the PRUDENCE model projections of changes in European climate by the end of this century, Climatic Change, 81, 7–30, https://doi.org/10.1007/s10584-006-9210-7, 2007.
Dalelane, C., Früh, B., Steger, C., and Walter, A.: A pragmatic approach to build a reduced regional climate projection ensemble for Germany using the EURO-CORDEX 8.5 ensemble, J. Appl. Meteorol. Clim., submitted, 2017.
Ferrise, R., Moriondo, M., and Bindi, M.: Probabilistic assessments of climate change impacts on durum wheat in the Mediterranean region, Nat. Hazards Earth Syst. Sci., 11, 1293–1302, https://doi.org/10.5194/nhess-11-1293-2011, 2011.
Fischer, E. M. and Knutti, R.: Observed heavy precipitation increase confirms theory and early models, Nature Climate Change, 6, 986–991, https://doi.org/10.1038/NCLIMATE3110, 2016.
Formayer, H., Gerersdorfer, T., Seiber, P., Loibl, W., Töglhofer, A., Prettenhaler, F., Töglhofer, C., Köberl, A., Themeßl, M., Gobiet, A., Truhez, H., Schleidt, K., Waitz Vetter von der Lilie, W., Kroiss, F., Anders, I., Jurkovic, A., and Kaindl, G.: KlimDAtZ – Konzept für ein Österreichisches Klimadaten-Zentrum, Klima- und Energiefonds, 2011.
Fowler, A. M. and Hennessey, K. J.: Potential impacts of global warming on the frequency and magnitude of heavy precipitation, Nat. Hazards, 111, 283–303, 1995.
Frame, D. J., Aina, T., Christensen, C. M., Faull, N. E., Knight, S. H. E., Piani, C., Rosier, S. M., Yamazaki, K., Yamazaki, Y., and Allen, M. R.: The climateprediction.net BBC climate change experiment: design of the coupled model ensemble, Philos. T. R. Soc. A, 367, 855–870, https://doi.org/10.1098/rsta.2008.0240, 2009.
Fronzek, S., Carter, T. R., and Luoto, M.: Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires, Nat. Hazards Earth Syst. Sci., 11, 2981–2995, https://doi.org/10.5194/nhess-11-2981-2011, 2011.
Groot, A., Swart, R., Hygen, H., Benestad, R. E., Cauchy, A., Betgen C., and Dubois, G.: ClipC deliverable User requirements, part 1. Strategies for user consultation and engagement and user requirements: Synthesis from past efforts, available at: http://www.clipc.eu/media/clipc/org/documents/clipc_deliverable2_1_final_intemplate.pdf, (last access: 16 March 2017), 2014.
Harold, J., Lorenzoni, I., Shipley, T. F., and Coventry, K. R.: Cognitive and psychological science insights to improve climate change data visualization, Nature Climate Change, 6, 1080–1089, https://doi.org/10.1038/NCLIMATE3162, 2016.
Heck, P., Lüthi, D., Wernli, H., and Schär, C.: Climate impacts of European-scale anthropogenic vegetation changes: A sensitivity study using a regional climate model, J. Geophys. Res., 106, 7817–7835, 2001.
Hewitt, C., Buontempo, C., and Newton, P.: Using Climate Predictions to Better Serve Society's Needs, Eos, Transactions American Geophysical Union, 94, 105–107, https://doi.org/10.1002/2013EO110002, 2013.
IPCC: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp., 2007.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp., 2013.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Bøssing Christensen, O., Bouwer, L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., Georgopoulou, E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones, C., Keuler, K., Kovats, S., Kröner, N., Kotlarski, S., Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C., Pfeifer, S., Preuschmann, S., Radermacher, C., Radtke, K., Rechid, D., Rounsevell, M., Samuelsson, P., Somot, S., Soussana, J.-F., Teichmann, C., Valentini, R., Vautard, R., Weber, B., and Yiou, P.: EURO-CORDEX: New high-resolution climate change projections for European impact research, Regional Environmental Changes, 14, 563–578, https://doi.org/10.1007/s10113- 013-0499-2, 2013.
Knutti, R., Mason, D., and Gettelman, A.: Climate model genealogy: Generation CMIP5 and how we got there, Geophys. Res. Lett., 40, 1194–1199, 2013.
Kölling, C.: Bäume für die Zukunft, Bayerische Landesanstalt für Wald und Forstwirtschaft (LWF) Aktuell, 60, 35–37, 2007 (in German).
Kreienkamp, F., Huebener, H., Linke, C., and Spekat, A.: Good practice for the usage of climate model simulation results – a discussion paper, Environmental Systems Research, 1, 1–13, https://doi.org/10.1186/2193-2697-1-9, 2013.
LfU (Ed.): Fallstudien Niedrigwasser Naab und Sächsische Saale, Endbericht zu Pilotstudie im Rahmen der Kooperation KLIWA, Bayerisches Landesamt für Umwelt, Augsburg, in preparation, 2017 (in German).
Maraun, D., Wetterhall, F., Ireson, A. M., Chandler, R. E., Kendon, E. J., Widmann, M., Brienen, S., Rust, H. W., Sauter, T., Themeßl, M., Venema, V. K. C., Chun, K. P., Goodess, C. M., Jones, R. G., Onof, C., Vrac, M., and Thiele-Eich, I.: Precipitation Downscaling under Climate Change, Recent Developments to Bridge the Gap Between Dynamical Models and the End User, Rev. Geophysics, 48, 1–38, 2010.
McNie, E. C.: Reconciling the supply of scientific information with user demands, An analysis of the problem and review of the literature, Environ. Sci. Policy, 10, 17–38, https://doi.org/10.1016/j.envsci.2006.10.004, 2007.
McSweeney, C. F., Jones, R. G., and Booth, B. B. B.: Selecting ensemble members to provide regional climate change information, J. Climate, 25, 7100–7121, https://doi.org/10.1175/JCLI-D-11-00526.1, 2012.
McSweeney, C. F., Jones, R. G., Lee, R. W., and Rowell, D. P.: Selecting CMIP5 GCMs for downscaling over multiple regions, Clim. Dynam., 44, 3237–3260, https://doi.org/10.1007/s00382-014-2418-8, 2015.
MeteoSwiss (Ed.): Analyse der Nutzerbedürfnisse zu nationalen Klimaszenarien, Fachbericht MeteoSchweiz, 258, 92 pp., http://www.meteoschweiz.admin.ch/content/dam/meteoswiss/de/service-und-publikationen/Publikationen/doc/FB258_EBP.pdf (last access: 25 July 2017), 2016 (in German).
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A., Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer, R. J., Thomson, A. M., Weyant, J. P., and Wilbanks T. J.: The next generation of scenarios for climate change research and assessment, Nature, 463, 747–756, https://doi.org/10.1038/nature08823, 2010.
Munaretto, S. and Huitema, D.: When is policy advice effective? Boundary work at the science-policy interface in flood adaptation, Presentation at VALUE-Workshop, Istanbul, 20–22 May 2015.
Murphy, J. M., Sexton, D. M. H., Jenkins, G. J., Booth, B. B. B., Brown, C. C., Clark, R. T., Collins, M., Harris, G. R., Kendon, E. J., Betts, R. A., Brown, S. J., Humphrey, K. A., McCarthy, M. P., McDonald, R. E., Stephens, A., Wallace, C., Warren, R., Wilby, R., and Wood, R. A.: UK Climate Projections Science Report: Climate change projections, Met Office Hadley Centre, Exeter, 2009.
Overland, J. E., Wang, M. Y., Bond, N. A., Walsh, J. E., Kattsov, V. M., and Chapman, W. L.: Considerations in the selection of global climate models for regional climate projections: the arctic as a case study, J. Climate, 24, 1583–1597, 2011.
Pardowitz, T., Befort, D. J., Leckebusch, G. C., and Ulbrich, U.: Estimating uncertainties from high resolution simulations of extreme wind storms and consequences for impacts, Meteorol. Z., 25, 531–541, https://doi.org/10.1127/metz/2016/0582, 2016.
Prein, A. F., Langhans, W., Fosser, G., Ferrone, A., Ban, N., Goergen, K., Keller, M., Tölle, M., Gutjahr, O., Feser, F., Brisson, E., Kollet, S., Schmidli, J., van Lipzig, N. P. M., and Leung, R.: A review of regional convection permitting climate modelling: Demonstration, prospects and challenges, Reviews in Geophysics, 53, 332–361, https://doi.org/10.1002/2014RG000475, 2014.
Rammig, A., Wiedermann, M., Donges, J. F., Babst, F., von Bloh, W., Frank, D., Thonicke, K., and Mahecha, M. D.: Coincidences of climate extremes and anomalous vegetation responses: comparing tree ring patterns to simulated productivity, Biogeosciences, 12, 373–385, https://doi.org/10.5194/bg-12-373-2015, 2015.
Roessler, O., Fischer, A. M., Huebener, H., Maraun, D., Benestad, R., Christodoulides, P., Soares, P. M. M., Cardoso, R. M., Pagé, C., Kanamaru, H., Kreienkamp, F., and Vlachogiannis, D.: Challenges to link climate change data provision and user needs – perspective from the COST-Action VALUE, Int. J. Climatol., https://doi.org/10.1002/joc.5060, 2017.
Rummukainen, M.: State-of-the-art with regional climate models, WIREs Clim. Change, 1, 82–96, https://doi.org/10.1002/wcc.8, 2010.
Seneviratne, S. I., Pal, J. S., Eltahir, E. A. B., and Schär, C.: Summer dryness in a warmer climate: a process study with a regional climate model, Clim. Dynam., 20, 69–85, https://doi.org/10.1007/s00382-002-0258-4, 2002.
Stouffer, R. J., Thomson, A. M., Weyant, J. P., and Wilbanks, T. J.: The next generation of scenarios for climate change research and assessment, Nature, 463, 747–756, https://doi.org/10.1038/nature08823, 2010.
Swart, R. and Avelar, D. (Eds.): Bridging Climate Research Data and the Needs of the Impact Community, Proceedings of the IS-ENES/EEA/CIRCLE-2 Workshop, 2–4 February 2011.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485–498, 2012.
van der Linden, P. and Mitchell, J.: ENSEMBLES: Climate Change and its Impacts: Summary of research and results from the ENSEMBLES project, Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK, Exeter, 2009.
van Vuuren, D. P., Edmonds, J. A., Kainuma, M., Riahi, K., and Weyant, J.: A special issue on the RCPs, Climatic Change, 109, 1–4, 2011.
Vicca, S., Bahn, M., Estiarte, M., van Loon, E. E., Vargas, R., Alberti, G., Ambus, P., Arain, M. A., Beier, C., Bentley, L. P., Borken, W., Buchmann, N., Collins, S. L., de Dato, G., Dukes, J. S., Escolar, C., Fay, P., Guidolotti, G., Hanson, P. J., Kahmen, A., Kröel-Dulay, G., Ladreiter-Knauss, T., Larsen, K. S., Lellei-Kovacs, E., Lebrija-Trejos, E., Maestre, F. T., Marhan, S., Marshall, M., Meir, P., Miao, Y., Muhr, J., Niklaus, P. A., Ogaya, R., Peñuelas, J., Poll, C., Rustad, L. E., Savage, K., Schindlbacher, A., Schmidt, I. K., Smith, A. R., Sotta, E. D., Suseela, V., Tietema, A., van Gestel, N., van Straaten, O., Wan, S., Weber, U., and Janssens, I. A.: Can current moisture responses predict soil CO2 efflux under altered precipitation regimes? A synthesis of manipulation experiments, Biogeosciences, 11, 2991–3013, https://doi.org/10.5194/bg-11-2991-2014, 2014.
Wagner, M., Sutmöller, J., and Eichhorn, J.: zukünftige Entwicklung des Trockenstressrisikos in hessischen Buchenwäldern, in: Waldzustandsbericht 2014, edited by: Paar, U., Dammann, I., Weymar, J., Spielmann, M., and eichhorn, J., available at: https://www.nw-fva.de/fileadmin/user_upload/Sachgebiet/Waldzustand_Boden/WZE-Berichte/WZB2014_Hessen_Internet.pdf (last access: 18 July 2017), 20–21, 2014 (in German).
Warrach-Sagi, K., Schwitalla, T., Wulfmeyer, V., and Bauer, H.-S.: Evaluation of a climate simulation in Europe based on the WRF-N OAH Model System: precipitation in Germany, Clim. Dynam., 41, 755–774, https://doi.org/10.1007/s00382-013-1727-7, 2013.
Weiß, M.: Future water availability in selected European catchments: a probabilistic assessment of seasonal flows under the IPCC A1B emission scenario using response surfaces, Nat. Hazards Earth Syst. Sci., 11, 2163–2171, https://doi.org/10.5194/nhess-11-2163-2011, 2011.
Short summary
There is still a large gap between climate research results and their use in climate impact research and policy advisory. One of the many approaches taken to reduce this gap was a midterm user workshop of the German project ReKliEs-De. The users were asked to guide the further project work towards their needs. Conclusions from the workshop included the need for more
plain textguidance on climate model strengths and weaknesses as well as more research on climate impact system functioning.
There is still a large gap between climate research results and their use in climate impact...