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.

跨部门影响模型比对项目（Inter-Sectoral Impact Model Intercomparison Project，ISIMIP）构建了一套标准化的多部门、多尺度气候影响模拟整合框架，依托兼具科学与政策价值的历史及未来情景开展工作。该框架可为气候影响的稳健预估提供坚实基础，同时助力模型评估与优化，支持针对不同全球温升水平下气候变化的生物物理与社会经济影响开展高精度估算，还为探究跨部门气候影响间的相互作用提供了独特契机。
ISIMIP2a是ISIMIP第二阶段的首轮模拟试验，聚焦农业、渔业、多年冻土、生物群系、区域与全球水系统及森林的气候影响历史模拟。该试验将作为模型评估与优化的基础，助力优化针对不同全球温升水平下气候变化的生物物理与社会经济影响估算精度。
本数据集包含用于ISIMIP2a模拟的历史（大气）气候数据。所有数据集均提供近地表气温（near-surface air temperature，tas）、降水量（precipitation，pr）、近地表相对湿度（near-surface relative humidity，rhs）、地表下行长波辐射（surface downwelling longwave radiation，rlds）、地表下行短波辐射（surface downwelling shortwave radiation，rsds）、地表气压（surface pressure，ps）以及近地表风速（near-surface wind speed，wind）。部分数据集还额外提供每日近地表最低气温（tasmin）与最高气温（tasmax）。
本次纳入的数据集共6套，分别为GSWP3、PGMFD、WATCH、WATCH-WFDEI、GSWP3-EWEMBI及GSWP3-W5E5。所有数据集均具备全球覆盖范围，时间分辨率为日尺度，空间分辨率为0.5°。不同数据集的时间覆盖范围存在差异。