ISIMIP2b Simulation Data from the Local Lakes Sector

  • Rafael Marcé (Creator)
  • Donald Pierson (Creator)
  • Daniel Mercado-Bettin (Creator)
  • Wim Thiery (Creator)
  • Sebastiano Piccolroaz (Creator)
  • Bronwyn Woodward (Creator)
  • Richard Iestyn Woolway (Creator)
  • Zeli Tan (Creator)
  • Georgiy Kirillin (Creator)
  • Tom Shatwell (Creator)
  • Raoul-Marie Couture (Creator)
  • Marianne Côté (Creator)
  • Damien Bouffard (Creator)
  • Carl Love Mikael Råman Vinnå (Creator)
  • Martin Schmid (Creator)
  • Jacob Schewe (Creator)
  • Matthias Büchner (Contributor)
  • Jochen Klar (Contributor)
  • Iliusi Vega del Valle (Contributor)
  • Jan Volkholz (Contributor)
  • Stefan Lange (Contributor)
  • Franziska Piontek (Contributor)
  • Christopher Reyer (Contributor)
  • Matthias Mengel (Contributor)
  • María del Rocío Rivas López (Contributor)
  • Christian Otto (Contributor)
  • Bjoern Soergel (Contributor)
  • Anne Gädeke (Contributor)
  • Martin Park (Contributor)
  • Katja Frieler (Contributor)
  • Potsdam Institute For Climate Impact Research (Contributor)

Dataset

Description

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 available10 Jun 2022
PublisherISIMIP Repository

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