ISIMIP Repository

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) is a community-driven climate impact modeling initiative that aims to contribute to a quantitative and cross-sectoral synthesis of the various impacts of climate change, including associated uncertainties. It is designed as a continuous model intercomparison and improvement process for climate impact models and is supported by the international climate impact research community. ISIMIP is organized into simulation rounds, for which a simulation protocol specifies a set of common experiments. The protocol further describes a set of climate and direct human forcing data to be used as input data for all ISIMIP simulations. Based on this information, modelling groups from different sectors (e.g. agriculture, biomes, water) perform simulations using various climate impact models. After the simulations are performed, the data is collected by the ISIMIP data team, quality controlled and eventually published on the ISIMIP Repository. From there, it can be freely accessed for further research and analyses. The data is widely used within academia, but also by companies and civil society. ISIMIP was initiated by the Potsdam Institute for Climate Impact Research (PIK) and the International Institute for Applied Systems Analysis (IIASA).

《跨部门影响模型互比项目》（Inter-Sectoral Impact Model Intercomparison Project，简称ISIMIP）是一项由学术界主导的气候影响模型研究计划，旨在为气候变化的多方面影响提供定量和跨领域的综合分析，并考虑相关的不确定性。该项目旨在构建一个持续性的气候影响模型互比与改进流程，并得到国际气候影响研究界的支持。ISIMIP按照模拟轮次进行组织，每个轮次的模拟协议均规定了一系列共同实验。该协议进一步详细描述了用于所有ISIMIP模拟的气候和直接人为强迫数据集。基于这些信息，来自不同部门（例如农业、生物群落、水资源）的建模小组使用各种气候影响模型进行模拟。模拟完成后，数据将由ISIMIP数据团队收集、质量控制，并最终在ISIMIP数据仓库中发布。从此，数据可被免费获取，以供进一步的研究和分析。这些数据在学术界得到广泛应用，同时也被企业和社会各界所采用。ISIMIP由波茨坦气候影响研究所（Potsdam Institute for Climate Impact Research，简称PIK）和国际应用系统分析研究所（International Institute for Applied Systems Analysis，简称IIASA）共同发起。

搜集汇总

背景与挑战

背景概述

ISIMIP Repository是一个专注于气候影响科学的数据存储库，由社区驱动的跨部门影响模型比较项目（ISIMIP）维护，旨在通过标准化模拟协议综合评估气候变化对各领域（如农业、生态和水资源）的影响及其不确定性。该存储库包含超过54万个数据集，涵盖地理空间和模拟数据，支持开放访问，主要用于学术研究和政策分析，数据来自多个国际研究机构，并采用质量控制流程确保可靠性。