TY - JOUR
T1 - Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a)
AU - Frieler, Katja
AU - Volkholz, Jan
AU - Lange, Stefan
AU - Schewe, Jacob
AU - Mengel, Matthias
AU - Del Rocío Rivas López, María
AU - Otto, Christian
AU - Reyer, Christopher P.O.
AU - Karger, Dirk Nikolaus
AU - Malle, Johanna T.
AU - Treu, Simon
AU - Menz, Christoph
AU - Blanchard, Julia L.
AU - Harrison, Cheryl S.
AU - Petrik, Colleen M.
AU - Eddy, Tyler D.
AU - Ortega-Cisneros, Kelly
AU - Novaglio, Camilla
AU - Rousseau, Yannick
AU - Watson, Reg A.
AU - Stock, Charles
AU - Liu, Xiao
AU - Heneghan, Ryan
AU - Tittensor, Derek
AU - Maury, Olivier
AU - Büchner, Matthias
AU - Vogt, Thomas
AU - Wang, Tingting
AU - Sun, Fubao
AU - Sauer, Inga J.
AU - Koch, Johannes
AU - Vanderkelen, Inne
AU - Jägermeyr, Jonas
AU - Müller, Christoph
AU - Rabin, Sam
AU - Klar, Jochen
AU - Vega Del Valle, Iliusi D.
AU - Lasslop, Gitta
AU - Chadburn, Sarah
AU - Burke, Eleanor
AU - Gallego-Sala, Angela
AU - Smith, Noah
AU - Chang, Jinfeng
AU - Hantson, Stijn
AU - Burton, Chantelle
AU - Gädeke, Anne
AU - Li, Fang
AU - Gosling, Simon N.
AU - Müller Schmied, Hannes
AU - Hattermann, Fred
AU - Wang, Jida
AU - Yao, Fangfang
AU - Hickler, Thomas
AU - Marcé, Rafael
AU - Pierson, Don
AU - Thiery, Wim
AU - Mercado-Bettín, Daniel
AU - Ladwig, Robert
AU - Ayala-Zamora, Ana Isabel
AU - Forrest, Matthew
AU - Bechtold, Michel
N1 - This article is based upon work from COST Action CA19139 PROCLIAS (PROcess-based models for CLimate Impact Attribution across Sectors), supported by COST (European Cooperation in Science and Technology; https://www.cost.eu , last access: 21 December 2023). Funding from the EU Horizon 2020 research and innovation program under grant agreement 821010 (CASCADES) supported the work of Christopher P. O. Reyer, Jan Volkholz, and Iliusi D. Vega del Valle, the provisioning of the high-resolution climate data, and the work of Simon Treu under grant agreement no. 820712 (RECEIPT). Stefan Lange received funding from the German Research Foundation (DFG, project number 427397136). The German Federal Ministry of Education and Research (BMBF) supported the work under the research projects ISIAccess (16QK05), SLICE (01LA1829A), QUIDIC (01LP1907A), CHIPS (01LS1904A), and ISIpedia (01LS1711A). Fang Li received funding from the National Key Research and Development Program of China (project number 2022YFE0106500). Jinfeng Chang received funding from the National Key Research and Development Program of China (project number 2022YFF0801904). MB acknowledges funding from the Research Foundation \u2013 Flanders (FWO, G095720N). Sarah Chadburn and Noah Smith were supported by the National Environmental Research Council (NERC) under grant NE/R015791/1. Sarah Chadburn, Angela Gallego-Sala, Michel Bechtold, and Noah Smith acknowledge funding through NERC NE/V01854X/1 (MOTHERSHIP). Chantelle Burton was supported by the Newton Fund through the Met Office. The research by Dirk Nikolaus Karger was funded through the 2019\u20132020 BiodivERsA joint call for research proposals under the BiodivClim ERA-Net COFUND program and through the funding organization of the Swiss National Science Foundation (SNF; project FeedBaCks, 193907; project Adohris, 205530). Rafael Marc\u00E9 was supported by the Alter-C project (PID2020-114024GB-C32/AEI /10.13039/501100011033). Cheryl S. Harrison was supported by Open Philanthropy, NSF award 2218777, and NOAA CPO. We also thank Jason Evans for his positive review and an anonymous reviewer for an extremely careful and comprehensive review that significantly contributed to the improvement of the paper.
For preparing and publishing the paper we received support from the COST Action CA19139 PROCLIAS (PROcess-based models for CLimate Impact Attribution across Sectors), supported by COST (European Cooperation in Science and Technology; https://www.cost.eu , last access: 21 December 2023). The publication of this article was funded by the Open Access Fund of the Leibniz Association.
PY - 2024/1/4
Y1 - 2024/1/4
N2 - This paper describes the rationale and the protocol of the first component of the third simulation round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a, http://www.isimip.org, last access: 2 November 2023) and the associated set of climate-related and direct human forcing data (CRF and DHF, respectively). The observation-based climate-related forcings for the first time include high-resolution observational climate forcings derived by orographic downscaling, monthly to hourly coastal water levels, and wind fields associated with historical tropical cyclones. The DHFs include land use patterns, population densities, information about water and agricultural management, and fishing intensities. The ISIMIP3a impact model simulations driven by these observation-based climate-related and direct human forcings are designed to test to what degree the impact models can explain observed changes in natural and human systems. In a second set of ISIMIP3a experiments the participating impact models are forced by the same DHFs but a counterfactual set of atmospheric forcings and coastal water levels where observed trends have been removed. These experiments are designed to allow for the attribution of observed changes in natural, human, and managed systems to climate change, rising CH4 and CO2 concentrations, and sea level rise according to the definition of the Working Group II contribution to the IPCC AR6.
AB - This paper describes the rationale and the protocol of the first component of the third simulation round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a, http://www.isimip.org, last access: 2 November 2023) and the associated set of climate-related and direct human forcing data (CRF and DHF, respectively). The observation-based climate-related forcings for the first time include high-resolution observational climate forcings derived by orographic downscaling, monthly to hourly coastal water levels, and wind fields associated with historical tropical cyclones. The DHFs include land use patterns, population densities, information about water and agricultural management, and fishing intensities. The ISIMIP3a impact model simulations driven by these observation-based climate-related and direct human forcings are designed to test to what degree the impact models can explain observed changes in natural and human systems. In a second set of ISIMIP3a experiments the participating impact models are forced by the same DHFs but a counterfactual set of atmospheric forcings and coastal water levels where observed trends have been removed. These experiments are designed to allow for the attribution of observed changes in natural, human, and managed systems to climate change, rising CH4 and CO2 concentrations, and sea level rise according to the definition of the Working Group II contribution to the IPCC AR6.
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U2 - 10.5194/gmd-17-1-2024
DO - 10.5194/gmd-17-1-2024
M3 - Article
AN - SCOPUS:85184009258
SN - 1991-959X
VL - 17
SP - 1
EP - 51
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 1
ER -