DOI: 10.5281/zenodo.13974536
title: Dataset to reproduce the figures of "Clouds are crucial to capture Antarctic sea ice variability"

description: 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