Dataset to reproduce the figures of "Clouds are crucial to capture Antarctic sea ice variability"

These files, further described below, contain the necessary variables to reproduce the figures of Cesana et al. (submitted to GRL), which are not all publically available. Observations CERES_EBAF-TOA_Ed4.2_Subset_200101-202112_2x2.nc This file contains the TOA SW CRE (= toa_sw_clr_c_mon - toa_sw_all_mon) and total cloud fraction (cldarea_total_daynight_mon) variables from CERES-EBAF observations (Ed4.2, Loeb et al., 2018) from 2001 to 2021 and can be downloaded directly from the CERES ordering tool website here https://ceres-tool.larc.nasa.gov/ord-tool/jsp/EBAFTOA42Selection.jsp. seaice_conc_monthly_sh_200101-202112_2x2.nc This file contains the sea ice area variable (cdr_seaice_conc) for the Southern Hemisphere (SH) from NSDIC CDR observations (Meier et al., 2021) and can be downloaded directly here https://noaadata.apps.nsidc.org/NOAA/G02202_V4/. sia_sh_obs_2001-2021.nc This file contains the yearly mean of SH sea ice area (sia_sh) from the NSDIC CDR observations and from 2001 to 2021. Simulations cloud_analysis_cesm1_maps_annmean_50-90S_2001-2018.nc This file contains the total cloud fraction (CLDTOT) and TOA SW CRE (SWCF) variables over 50-90˚S from 2001 to 2018 for CESM1 free-running and wind-nudged simulations (Blanchard-Wrigglesworth et al., 2021). cloud_analysis_cesm1_conc_annmean_50-90S_2001-2018.nc This file contains the sea ice area (aice) variable over 50-90˚S from 2001 to 2018 for CESM1 free-running and wind-nudged simulations (Blanchard-Wrigglesworth et al., 2021). cloud_analysis_GISS-E2-1_maps_conc_annmean_50-90S_2001-2021.nc This file contains total cloud fraction (clt), TOA SW CRE (= rsutcs - rsut) and sea ice area (siconca) variables over 50-90˚S from 2001 to 2021 for NASA-GISS-E2-1 free-running and wind-nudged simulations (Roach et al., 2023). sia_sh_GISS-E2-1_2001-2021.nc and sia_sh_cesm1_2001-2018.nc contain the yearly mean of SH sea ice area (sia_sh) from NASA-GISS-E2-1 and CESM1 simulations, respectively. References Blanchard-Wrigglesworth, E., Roach, L. A., Donohoe, A., & Ding, Q. (2021, February). Impact of Winds and Southern Ocean SSTs on Antarctic Sea Ice Trends and Variability. Journal of Climate, 34 (3), 949–965. doi: 10.1175/JCLI-D-20-0386.1 Cesana, G., Roach, L. A. and Blanchard-Wrigglesworth, E., 2024 Clouds are crucial to capture Antarctic sea ice variability, submitted to GRL. Loeb, N. G., Doelling, D. R., Wang, H., Su, W., Nguyen, C., Corbett, J. G., Kato, S. (2018). Clouds and the earth’s radiant energy system (ceres) energy balanced and filled (ebaf) top-of-atmosphere (toa) edition-4.0 data product. Journal of Climate, 31 , 895-918. doi: 10.1175/JCLI-D-17-0208.1 Meier, W., Fetterer, F., Windnagel, A., & Stewart, S. (2021). NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4. NSIDC. doi: 10.7265/EFMZ-2T65 Roach, L. A., Mankoff, K. D., Romanou, A., Blanchard-Wrigglesworth, E., Haine, T. W., & Schmidt, G. A. (2023, 12). Winds and meltwater together lead to southern ocean surface cooling and sea ice expansion. Geophysical Research Letters, 50 . doi: 10.1029/2023GL105948下述文件（详见下文说明）包含复现Cesana等人（已投稿至《地球物理研究快报》(Geophysical Research Letters, 简称GRL)）论文配图所需的必要变量，其中部分变量尚未公开。 观测数据 1. `CERES_EBAF-TOA_Ed4.2_Subset_200101-202112_2x2.nc`：该文件包含2001年至2021年CERES-EBAF观测数据集（Ed4.2版本，Loeb等人，2018）中的大气顶短波云辐射强迫（TOA SW CRE，即月平均晴空大气顶短波辐射`toa_sw_clr_c_mon`减去月平均全天空大气顶短波辐射`toa_sw_all_mon`）以及总云量（`cldarea_total_daynight_mon`）变量，可通过CERES订购工具网站直接下载，链接为https://ceres-tool.larc.nasa.gov/ord-tool/jsp/EBAFTOA42Selection.jsp。 2. `seaice_conc_monthly_sh_200101-202112_2x2.nc`：该文件包含来自NSDIC气候数据记录(CDR)观测数据集（Meier等人，2021）的南半球（Southern Hemisphere, 简称SH）海冰面积变量（`cdr_seaice_conc`），可通过以下链接直接下载：https://noaadata.apps.nsidc.org/NOAA/G02202_V4/。 3. `sia_sh_obs_2001-2021.nc`：该文件包含2001年至2021年NSDIC CDR观测数据集的南半球海冰面积（`sia_sh`）年平均值。 模拟数据 1. `cloud_analysis_cesm1_maps_annmean_50-90S_2001-2018.nc`：该文件包含2001年至2018年南纬50°至90°区域的总云量（`CLDTOT`）和大气顶短波云辐射强迫（`SWCF`）变量，对应CESM1自由运行及风场松弛逼近（wind-nudged）模拟（Blanchard-Wrigglesworth等人，2021）。 2. `cloud_analysis_cesm1_conc_annmean_50-90S_2001-2018.nc`：该文件包含2001年至2018年南纬50°至90°区域的海冰面积（`aice`）变量，对应CESM1自由运行及风场松弛逼近模拟（Blanchard-Wrigglesworth等人，2021）。 3. `cloud_analysis_GISS-E2-1_maps_conc_annmean_50-90S_2001-2021.nc`：该文件包含2001年至2021年南纬50°至90°区域的总云量（`clt`）、大气顶短波云辐射强迫（即晴空大气顶向上短波辐射`rsutcs`减去全天空大气顶向上短波辐射`rsut`）以及海冰面积（`siconca`）变量，对应NASA-GISS-E2-1自由运行及风场松弛逼近模拟（Roach等人，2023）。 4. `sia_sh_GISS-E2-1_2001-2021.nc`与`sia_sh_cesm1_2001-2018.nc`分别包含NASA-GISS-E2-1与CESM1模拟的南半球海冰面积（`sia_sh`）年平均值。 参考文献 1. Blanchard-Wrigglesworth, E., Roach, L. A., Donohoe, A., & Ding, Q. (2021). 风场与南大洋海表温度对南极海冰趋势与变率的影响. 《气候杂志》, 34(3), 949–965. doi: 10.1175/JCLI-D-20-0386.1 2. Cesana, G., Roach, L. A. & Blanchard-Wrigglesworth, E. (2024). 云对捕捉南极海冰变率至关重要. 已投稿至《地球物理研究快报》(GRL) 3. Loeb, N. G., Doelling, D. R., Wang, H., Su, W., Nguyen, C., Corbett, J. G., & Kato, S. (2018). 云与地球辐射能量系统(CERES)能量平衡与填充(EBAF)大气顶(TOA)第4.0版数据产品. 《气候杂志》, 31, 895-918. doi: 10.1175/JCLI-D-17-0208.1 4. Meier, W., Fetterer, F., Windnagel, A., & Stewart, S. (2021). NOAA/NSIDC被动微波海冰浓度气候数据记录(版本4). 国家冰雪数据中心(NSIDC). doi: 10.7265/EFMZ-2T65 5. Roach, L. A., Mankoff, K. D., Romanou, A., Blanchard-Wrigglesworth, E., Haine, T. W., & Schmidt, G. A. (2023). 风场与融水共同导致南大洋表层冷却与海冰扩张. 《地球物理研究快报》, 50. doi: 10.1029/2023GL105948