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ISIMIP2a Simulation Data from Permafrost Sector (V 1.1)

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DataCite Commons2025-12-10 更新2025-04-15 收录
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Description of changes in the new version:- On October 18, 2018 we republished all simulation data for all impact models to get the data sets into the new search facet structure. There were no changes to the simulation data.- Files for JULES-B1 (formerly JULES_UoE) were not available since the date of issuing the DOI until March 13, 2019. Until that date, these files were only available in the ISIMIP DKRZ server. ---------------------------------------------------------------------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/. For accessing the data set as in http://doi.org/10.5880/PIK.2018.006 before March 13, 2019 please write to the ISIMIP Data Management Team: isimip-data[at]pik-potsdam.de--------------------------------------------------------------------- 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 may 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 ISIMIP 2a Input Data & Bias Correction at https://www.isimip.org/gettingstarted/#input-data-bias-correction). This entry refers to the ISIMIP2a simulation data from permafrost models: JULES-B1 (formerly JULES_UoE), LPJmL, IAPRAS-DSS.

新版本变更说明:2018年10月18日,我们重新发布了所有影响模型的全部模拟数据,以将数据集纳入全新的搜索分面结构。本次发布未对模拟数据本身做出任何修改。 JULES-B1(原名为JULES_UoE)相关文件自DOI发布之日起至2019年3月13日均无法正常获取,在此之前,这些文件仅可在ISIMIP的DKRZ服务器上获取。 --------------------------------------------------------------------- 跨部门影响模型比对项目(Inter-Sectoral Impact Model Intercomparison Project, ISIMIP)的模拟数据处于持续审核与优化过程中,因此后续仍有可能进行更新。所有变更与注意事项均记录于https://www.isimip.org/outputdata/output-data-changelog/。 若需获取2019年3月13日之前版本的数据集(对应链接http://doi.org/10.5880/PIK.2018.006),请致信ISIMIP数据管理团队:isimip-data[at]pik-potsdam.de --------------------------------------------------------------------- 跨部门影响模型比对项目(ISIMIP)构建了一套统一的多部门、多尺度气候影响模拟整合框架,其研发基于兼具科学与政策价值的历史及未来情景。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,进而提升不同全球升温情景下气候变暖对生物物理与社会经济影响的估算精度。此外,该框架还为跨部门气候影响交互效应的研究提供了独特契机。 ISIMIP2a是ISIMIP的第二轮模拟实验,聚焦于农业、渔业、多年冻土、生物群系、区域及全球水资源与森林领域的历史气候影响模拟(1971-2010年)。该数据集可作为模型评估与优化的基础,助力提升不同全球升温情景下气候变暖对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与气候变率影响的表征方式。在此阶段,所有影响模型与研究部门均可获取四套通用的全球观测气候数据集。此外,项目组还收集了各领域对应的影响观测数据集,以供模型基准测试使用。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中的《ISIMIP 2a输入数据与偏差校正》)。 本条目对应多年冻土模型的ISIMIP2a模拟数据,包含JULES-B1(原名为JULES_UoE)、LPJmL、IAPRAS-DSS三套模型。
提供机构:
GFZ Data Services
创建时间:
2019-03-22
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