CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex

This data set is a contribution to Antarctic Polar Cordex using the stretched grid capacity of CNRM-ARPEGE atmospheric GCM. Model outputs have been interpolated from the native ARPEGE grid, with horizontal resolution varying between 35kms (near the stretching pole) to 45 kms on the Antarctic continent, to the ANTi-44 domain (actual lon/lat). The data and metadata format respect almost all of Cordex/CMIP conventions (variables names, units, file names...). The data set consists in six simulations of 30 years time slots : 1981-2010 for "historical" simulations and 2071-2100 for future projections using radiative forcing from RCP8.5 scenario :

- ARP-AMIP : amip-style control run driven by observed SST and sea-ice (1981-2100)

- ARP-NOR-OC : Future projection driven by NorESM1-M RCP8.5 climate change signal on SST and sea-ice (2071-2100)

- ARP-MIR-OC : Future projection driven by MIROC-ESM RCP8.5 climate change signal on SST and sea-ice (2071-2100)

More details on these three simulations are given in Beaumet et al., 2019 (10.5194/tc-13-3023-2019)

- ARP-AMIP-AC : Driven by observed SST and sea-ice + run-time flux bias correction*

- ARP-NOR-AOC : Driven by same SST and sea-ice as NOR-OC + run-time flux bias correction*

- ARP-MIR-AOC : Driven by same SST and sea-ice as MIR-OC + run-time flux bias correction*

Empirical run-time bias correction uses correction terms derived from the climatological mean of tendency errors of a simulation nudged towards climate reanalysis (here ERA-Interim). The method is presented first in Guldberg et al., 2005 (10.1111/j.1600-0870.2005.00120.x) and Krinner et al., 2019 (10.1029/2018MS001438). The method applied with ARPEGE over Antarctica and the evalution of the simulation are presented in this paper : https://doi.org/10.5194/tc-2020-307 (In review)

Outputs are available at daily time scale for near-surface atmospherique mean (tas), min (tasmin) and max (tasmax) temperature, total precipitation (pr), snowfall (prsn), snowmelt(snm), surface snow sublimation (sbl_i) and surface runoff (mrros).

If you consider using these data, please email me ([e-mail]) to see how I can help and/or be involved.

本数据集是针对南极极地CORDEX的贡献，采用了CNRM-ARPEGE大气环流模式（General Circulation Model, GCM）的拉伸网格功能。模式输出结果从原生ARPEGE网格进行插值，其水平分辨率在拉伸极点附近为35公里，在南极大陆区域为45公里，最终插值至ANTi-44区域（采用实际经纬度坐标）。本数据集的数据与元数据格式几乎完全遵循CORDEX/CMIP的规范（包括变量名、单位、文件名等）。

本数据集包含6组时长为30年的模拟试验：其中"历史"模拟时段为1981-2010年，未来预估试验时段为2071-2100年，均采用RCP8.5情景下的辐射强迫：

- ARP-AMIP：采用观测海表温度（Sea Surface Temperature, SST）与海冰驱动的AMIP型控制试验（1981-2100年）
- ARP-NOR-OC：基于NorESM1-M模式RCP8.5情景下海表温度与海冰的气候变化信号驱动的未来预估试验（2071-2100年）
- ARP-MIR-OC：基于MIROC-ESM模式RCP8.5情景下海表温度与海冰的气候变化信号驱动的未来预估试验（2071-2100年）

上述3组模拟的详细信息可参考Beaumet等人2019年发表的成果（DOI: 10.5194/tc-13-3023-2019）。

- ARP-AMIP-AC：采用观测海表温度与海冰驱动，并叠加实时通量偏差校正*的试验
- ARP-NOR-AOC：采用与NOR-OC一致的海表温度与海冰边界条件，并叠加实时通量偏差校正*的试验
- ARP-MIR-AOC：采用与MIR-OC一致的海表温度与海冰边界条件，并叠加实时通量偏差校正*的试验

经验性实时偏差校正方法采用的校正项，来自于向气候再分析资料（本研究中为ERA-Interim）放松逼近的模拟试验的倾向误差气候平均态。该方法最早由Guldberg等人2005年与Krinner等人2019年提出（对应DOI分别为10.1111/j.1600-0870.2005.00120.x与10.1029/2018MS001438）。本研究中针对ARPEGE模式在南极区域的应用方法与模拟试验评估结果，详见该论文：https://doi.org/10.5194/tc-2020-307（待刊）。

数据集提供逐日尺度的近地表大气变量输出，包括平均气温（tas）、最低气温（tasmin）、最高气温（tasmax）、总降水量（pr）、降雪量（prsn）、融雪量（snm）、地表雪升华量（sbl_i）与地表径流量（mrros）。

若您计划使用本数据集，请发送邮件至[e-mail]，我们将为您提供协助或参与相关合作。