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  3. 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)

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)

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DOI
10.48350/195640
Publisher DOI
10.5194/gmd-17-1-2024
Abstract
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.
Date Issued
2024
Publication Type
Article
Language(s)
en
Author(s)
Frieler, Katja
Volkholz, Jan
Lange, Stefan
Schewe, Jacob
Mengel, Matthias
del Rocío Rivas López, María
Otto, Christian
Reyer, Christopher P.O.
Krager, Drik N.
Malle, Johanna T.
Treu, Simon
Menz, Christoph
Blanchard, Julia L.
Harrison, Cheryl S.
Petrik, Colleen M.
Eddy, Tyler D.
Ortega-Cisneros, Kelly
Novaglio, Camilla
Rousseau, Yannick
Watson, Reg A.
Stock, Charles
Liu, Xiao
Heneghan, Ryan
Tittensor, Derek
Maurry, Olivier
Büchner, Matthias
Vogt, Thomas
Wang, Tingting
Sun, Fubao
Sauer, Inga J.
Koch, Johannes
Vanderkelen, Inne Simone M  
Wyss Academy for Nature - Climate Change Scenarios (CCSN)  
Jägermeyr, Jonas
Müller, Christoph
Rabin, Sam
Klar, Jochen
Vega del Valle, Iliusi D.
Lasslop, Gitta
Chadburn, Sarah
Burke, Eleanor
Gallego-Sala, Angela
Smith, Noah
Chang, Jinfeng
Hantson, Stijn
Burton, Chantelle
Gädeke, Anne
Li, Fang
Gosling, Simon N.
Müller Schmied, Hannes
Hatterman, Fred
Wang, Jida
Yao, Fangfang
Hickler, Thomas
Marcé, Rafael
Pierson, Don
Thiery, Wim
Mercado-Bettín, Daniel
Ladwig, Robert
Ayala-Zamora, Ana
Forrest, Matthew
Bechtold, Michel
Additional Credits
Wyss Academy for Nature - Climate Change Scenarios (CCSN)  
Journal
Geoscientific model development (GMD)
Publisher
Copernicus Publications
ISSN
1991-959X
Access(Rights)
open.access
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