ARISE-SAI_1.5 : CESM2 Extreme Temperature and Precipitation Indices

Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection (ARISE-SAI) is a set of simulations carried out with the Community Earth System Model, version 2 with the Whole Atmosphere Community Climate Model, version 6 (CESM2(WACCM6)) that aims at simulating a plausible deployment of solar climate intervention of stratospheric aerosol injection to enable community assessment of responses of the Earth system. This dataset uses the first set of simulations, called ARISE-SAI-1.5, that utilized the middle-of-the-road SSP2-4.5 emission scenario, and targetted a global mean surface air temperature near 1.5°C above the pre-industrial value. ARISE-SAI-1.5 is described in Richter et al. (2022). Selected data are available at Richter &amp; Visioni (2022a,b). The files contained here contain processed annual daily extremes of surface temperature (TREFHT) and total precipitation (PRECT) from the ARISE-SAI-1.5 simulations and companion SSP245 simulations. Indices are those recommended by the WCRP Expert Team on Climate Change Detection Indices, Zhang et al. 2011). Methods to calculate the indices are also described in Tye et al. (2022). <strong>Precipitation Indices</strong> PRCPTOT, SDII, RX1D, RX5D, R10mm, R20mm, CDD, CWD, P95TOT, P99TOT <strong>Temperature Indices</strong> TNN, TNX, FD, TR, TN90, TN10, TXX, TXN, ID, SU, TX90, TX10基于平流层气溶胶注入（Stratospheric Aerosol Injection, SAI）的地球系统太阳气候干预响应与影响评估（ARISE-SAI）是一套采用社区地球系统模型第2版搭配全大气社区气候模型第6版（CESM2(WACCM6)）开展的模拟实验集，旨在模拟合理部署平流层气溶胶注入式太阳气候干预方案，以支撑全球科研共同体对地球系统响应的评估工作。本数据集采用首个模拟序列——ARISE-SAI-1.5，该序列采用中等排放情景的共享社会经济路径（Shared Socioeconomic Pathways, SSP）2-4.5，目标为将全球平均地表气温较工业化前水平提升控制在1.5℃附近。ARISE-SAI-1.5的相关细节详见Richter等人（2022）的研究成果。经筛选的数据集可从Richter与Visioni（2022a、2022b）获取。本数据集包含的文件均为经预处理的ARISE-SAI-1.5模拟实验与配套SSP245模拟实验的年度逐日极端值数据，涉及地表气温（TREFHT）与总降水量（PRECT）两项要素。上述极端指数均采用世界气候研究计划（World Climate Research Programme, WCRP）气候变化检测指数专家组推荐的指标体系，相关标准详见Zhang等人（2011）的研究，指数的计算方法则在Tye等人（2022）的文献中有所说明。<strong>降水指数</strong> PRCPTOT, SDII, RX1D, RX5D, R10mm, R20mm, CDD, CWD, P95TOT, P99TOT <strong>气温指数</strong> TNN, TNX, FD, TR, TN90, TN10, TXX, TXN, ID, SU, TX90, TX10