ISIMIP2a atmospheric climate input data

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.<br>ISIMIP2a is the first simulation round of the second phase of ISIMIP, focusing on historical simulations 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.<br>These datasets contain the historical (atmospheric) climate data to be used in ISIMIP2a simulations. All datasets provide the variables near-surface air temperature (tas), precipitation (pr), near-surface relative humidity (rhs), surface downwelling longwave radiation (rlds), surface downwelling shortwave radiation (rsds), surface pressure (ps), and near-surface wind speed (wind). In addition, some datasets also provide daily minimum and maximum near-surface air temperature (tasmin and tasmax, respectively).<br>Included are 6 datasets: GSWP3, PGMFD, WATCH, WATCH-WFDEI, GSWP3-EWEMBI, and GSWP3-W5E5. They all have global coverage at daily temporal and 0.5° spatial resolution. Temporal coverage differs between datasets.

跨部门影响模型互评项目（Inter-Sectoral Impact Model Intercomparison Project, 简称ISIMIP）构建了一个框架，旨在整合一套基于科学和政治相关历史与未来情景的、一致的多部门、多尺度气候影响模拟。该框架为气候影响的稳健预测提供了基础，同时促进了模型评估与改进，使得能够在不同全球变暖水平上对气候变化对生物物理和经济社会的影响进行高级估算。此外，它还为考虑不同部门间气候影响的相互作用提供了独特的机会。<br>ISIMIP2a是ISIMIP第二阶段的首轮模拟，专注于对农业、渔业、永久冻土、生物群落、区域和全球水资源以及森林的气候影响的历史模拟。这将作为模型评估和改进的基础，使得能够在不同全球变暖水平上对气候变化对生物物理和经济社会的影响进行更精确的估算。<br>这些数据集包含用于ISIMIP2a模拟的历史（大气）气候数据。所有数据集均提供近地表空气温度（tas）、降水量（pr）、近地表相对湿度（rhs）、地表向下长波辐射（rlds）、地表向下短波辐射（rsds）、地表气压（ps）和近地表风速（wind）等变量。此外，一些数据集还提供每日最低和最高近地表空气温度（分别称为tasmin和tasmax）。<br>包括6个数据集：GSWP3、PGMFD、WATCH、WATCH-WFDEI、GSWP3-EWEMBI和GSWP3-W5E5。它们都具有全球覆盖范围，时间分辨率为每日，空间分辨率为0.5°。数据集的时间覆盖范围存在差异。

搜集汇总

背景与挑战

背景概述

ISIMIP2a大气气候输入数据是一个包含6个子数据集的全球历史气候数据集，提供多种气候变量，用于支持气候影响模型的评估和改进。数据集具有全球覆盖和0.5°的空间分辨率，旨在帮助研究者更准确地估计气候变化对不同领域的影响。