ISIMIP2a Simulation Data from Agricultural Sector
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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 improved 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 change impacts across sectors. ISIMIP2a is the second ISIMIP simulation round, focusing on historical simulations (1971-2010) of climate impacts on agriculture, fisheries, permafrost, biomes, regional and global water and forests. This will serve as a basis for model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. The focus topic for ISIMIP2a is model evaluation and validation, in particular with respect to the representation of impacts of extreme weather events and climate variability. During this phase, four common global observational climate data sets were provided across all impact models and sectors. In addition, appropriate observational data sets of impacts for each sector were collected, against which the models can be benchmarked. Access to the input data for the impact models is provided through a central ISIMIP archive (see https://www.isimip.org/gettingstarted/#input-data-bias-correction). This entry refers to the ISIMIP2a simulation data from Agricultural Sector models: CGMS-WOFOST, CLM-Crop, EPIC-Boku, EPIC-IIASA, EPIC-TAMU, GEPIC, LPJ-GUESS, LPJmL, ORCHIDEE-CROP, pAPSIM, pDSSAT, PEGASUS, PEPIC, PRYSBI2.
跨部门影响模型比对项目（Inter-Sectoral Impact Model Intercomparison Project，ISIMIP）为整合一套统一的多部门、多尺度气候影响模拟工作提供了框架，该框架基于兼具科学与政策价值的历史与未来情景。该框架可为气候影响的稳健预估提供基础，同时助力模型评估与优化，进而提升对不同全球增暖水平下气候变化的生物物理与社会经济影响的估算精度。此外，该框架还为探究跨部门气候变化影响的交互机制提供了独特契机。 ISIMIP2a是该项目的第二轮模拟实验，聚焦1971-2010年气候对农业、渔业、多年冻土、生物群区、区域及全球水资源与森林的影响的历史模拟。此类模拟可作为模型评估与优化的基础，助力提升不同全球增暖水平下气候变化的生物物理与社会经济影响的估算精度。 ISIMIP2a的核心主题为模型评估与验证，尤其针对极端天气事件影响表征与气候变异性相关研究。此阶段为所有影响模型及跨部门研究提供了四套通用的全球观测气候数据集。此外，项目还收集了各部门专属的影响观测数据集，用于对模型开展基准校验。影响模型的输入数据可通过ISIMIP中央档案馆获取（详见https://www.isimip.org/gettingstarted/#input-data-bias-correction）。 本数据集条目对应ISIMIP2a中农业部门模型的模拟数据，涵盖CGMS-WOFOST、CLM-Crop、EPIC-Boku、EPIC-IIASA、EPIC-TAMU、GEPIC、LPJ-GUESS、LPJmL、ORCHIDEE-CROP、pAPSIM、pDSSAT、PEGASUS、PEPIC、PRYSBI2。
