ISIMIP2b Simulation Data from the Local Lakes Sector

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).

跨部门影响模型比较计划（Inter-Sectoral Impact Model Intercomparison Project, ISIMIP）提供了一套框架，用于整合一系列基于兼具科学与政策相关性的历史及未来情景的、一致化的多部门多尺度气候影响模拟。该框架可为气候影响的稳健预估提供支撑，同时助力模型的评估与优化，支持针对不同全球升温阈值下气候变化所产生的生物物理与社会经济影响开展高阶估算，还为跨部门气候影响的相互作用研究提供了独特契机。

ISIMIP2b模拟工作聚焦于两项核心内容：一是分离并量化历史变暖时段（1861年—2005年）相较于工业化前参考水平（1661年—1860年）的纯气候变化效应；二是量化未来（2006年—2099年）及延伸未来（2006年—2299年）的影响预估结果，该预估考虑了低（RCP2.6）、中高（RCP6.0）及高（RCP8.5）三种温室气体排放情景，并假设采用2005年恒定值或动态变化的人口、土地与水资源利用及管理模式、经济发展水平、生物能源需求及其他社会经济要素。

该情景设计的科学逻辑已在Frieler等人（2017）的研究中予以阐述。本数据集包含来自6种内陆湖泊模型的ISIMIP2b模拟数据：air2water4par/air2water6par（Piccolroaz等，2013、2014、2015、2016、2017、2020）、ALBM（Tan等，2015、2016、2018）、FLake-IGB（Kirillin等，2011）、MyLake（https://github.com/biogeochemistry/MyLake_public，Saloranta等，2007；Kiuru等，2019；Markelov等，2019）以及Simstrat（https://github.com/Eawag-AppliedSystemAnalysis/Simstrat，Goudsmit等，2003；Gaudard等，2019）。