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 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). This dataset contains ISIMIP2b simulation data from six local lakes model: air2water4par/air2water6par (Piccolroaz et al. 2013, 2014, 2015, 2016, 2017, 2020), ALBM (Tan et al. 2015, 2016, 2018), FLake-IGB (Kirillin et al. 2011), MyLake (https://github.com/biogeochemistry/MyLake_public, Saloranta et al. 2007, Kiuru et al. 2019, Markelov et al. 2019), Simstrat (https://github.com/Eawag-AppliedSystemAnalysis/Simstrat, Goudsmit et al. 2003, Gaudard et al. 2019).
|Date made available||10 Jun 2022|