ISIMIP2b Simulation Data from Biomes Sector

DOI

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for advanced estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate impacts across sectors. ISIMIP2b is the second simulation round of the second phase of ISIMIP. ISIMIP2b considers impacts on different sectors at the global and regional scales: water, fisheries and marine ecosystems, energy supply and demand, forests, biomes, agriculture, agro-economic modeling, terrestrial biodiversity, permafrost, coastal infrastructure, health and lakes. ISIMIP2b simulations focus on separating the impacts and quantifying the pure climate change effects of historical warming (1861-2005) compared to pre-industrial reference levels (1661-1860); and on quantifying the future (2006-2099) and extended future (2006-2299) impact projections accounting for low (RCP2.6), mid-high (RCP6.0) and high (RCP8.5) greenhouse gas emissions, assuming either constant (year 2005) or dynamic population, land and water use and -management, economic development, bioenergy demand, and other societal factors. The scientific rationale for the scenario design is documented in Frieler et al. (2017). The ISIMIP2b bias-corrected observational climate input data (Lange, 2018; Frieler et al., 2017) consists of an updated version of the observational dataset EWEMBI at daily temporal and 0.5° spatial resolution, which better represents the CMIP5 GCM ensemble in terms of both spatial model resolution and equilibrium climate sensitivity. The bias correction methods (Lange, 2018; Frieler et al., 2017; Lange, 2016) were applied to CMIP5 output of GDFL-ESM2M, HadGEM2-ES, IPSL-CM5A-LP and MIROC5. Access to the input data for the impact models, and further information on bias correction methods, is provided through a central ISIMIP archive (see https://www.isimip.org/gettingstarted/isimip2b-bias-correction). This entry refers to the ISIMIP2b simulation data from eight global vegetation (biomes) models:CARAIBCLM4.5,DLEM,LPJmL,ORCHIDEE,VEGAS,VISIT,LPJ-GUESS ----------------------------------------------------------------------------The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) simulation data is under continuous review and improvement, and updates are thus likely to happen. All changes and caveats are documented under https://www.isimip.org/outputdata/output-data-changelog/ (ISIMIP Changelog) and https://www.isimip.org/outputdata/dois-isimip-data-sets/ (ISIMIP DOI publications).----------------------------------------------------------------------------

The ISIMIP2b biomes outputs are based on simulations from 8 global vegetation (biomes) models (see listing) according to the ISIMIP2b protocol (https://www.isimip.org/protocol/#isimip2b). The biomes models simulate biogeochemical processes, biogeography and ecosystem dynamics of natural vegetation and managed lands based on soil, climate and land-use information. A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels/

Identifier
DOI https://doi.org/10.5880/PIK.2019.012
Related Identifier https://www.earthsystemcog.org/projects/cog/tutorials_web
Related Identifier https://www.isimip.org/outcomes/publications-overview-page/
Related Identifier https://www.isimip.org/protocol/#isimip2b
Related Identifier https://www.isimip.org/impactmodels
Related Identifier https://www.isimip.org/gettingstarted/#input-data-bias-correction
Related Identifier https://doi.org/10.5194/gmd-10-4321-2017
Related Identifier https://doi.org/10.5194/esd-9-627-2018
Related Identifier https://doi.org/10.5880/pik.2016.004
Related Identifier https://www.isimip.org/outputdata/output-data-changelog/
Related Identifier https://www.isimip.org/outputdata/dois-isimip-data-sets/
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6664
Provenance
Creator Reyer, Christopher ORCID logo; Chang, Jinfeng ORCID logo; Chen, Min; Forrest, Matt ORCID logo; François, Louis; Henrot, Alexandra-Jane; Hickler, Thomas ORCID logo; Ito, Akihito ORCID logo; Nishina, Kazuya ORCID logo; Ostberg, Sebastian ORCID logo; Schaphoff, Sibyll ORCID logo; Seneviratne, Sonia I. ORCID logo; Shi, Hao ORCID logo; Steinkamp, Jörg ORCID logo; Thiery, Wim ORCID logo; Tian, Hanqin ORCID logo; Zhao, Fang ORCID logo; Büchner, Matthias ORCID logo; Ciais, Philippe ORCID logo
Publisher GFZ Data Services
Contributor Reyer, Christopher; Büchner, Matthias; Ciais, Philippe; Dury, Marie; Jacquemin, Ingrid; Munhoven, Guy; Pan, Shufen; Yang, Jia
Publication Year 2019
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 1 Files
Discipline Earth System Research
Spatial Coverage (-179.750W, -89.750S, 179.750E, 89.750N); global, constant, daily, monthly, yearly; global, constant, daily, monthly, yearly; global, constant, daily, monthly, yearly; global, constant, daily, monthly, yearly