| Summary: | Monthly climatologies of astatistical indicator of sea ice variabilitycomputed from daily maps of sea ice concentration (SIC) from satellites (Vichi, 2022).The sigma_SIAindicator is based on the standard deviation of SIC daily anomalies computed over the monthly time scales, using a monthly climatology over the period 1989-2019 as the baseline. The analysis starts from year 1989 since before that period data were every second day. Please use the most updated version of this dataset and cite the main DOI unless required The following files have been derived from NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4 ( https://doi.org/10.7265/efmz-2t65 and used in Vichi (2022). The code to produce them is available at the following repository https://github.com/mvichi/antarcticMIZ ( DOI:10.25375/uct.21103363 ) NSIDC_cdr_clim_m_sigmaSIA.nc : Climatological monthly sigma_SIA (climatological 'pooled' monthly std of daily anomaly) from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration NSIDC_cdr_clim_m_maskMIZ.nc : Climatological mask of the MIZ extent using a sigma_SIA>0.1criterion NSIDC_cdr_clim_m_sigmaSIA_exceedance.nc : Climatological probability maps of exceeding sigma_SIA>0.1and sigma_SIA>0.2 NSIDC_cdr_m_sigmaSIA.nc : Monthly sigma_SIA from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration. Please note that file 1above is not the climatology obtained fromthis file. NetCDF files 1-3 contain12 monthly arrays with the climatological sigma_SIA computed over the period 1989-2019. Please note that the indicator in these file is in % of SIC, while in the original paper it is presented in fractional units. File 4 has 396 records forall the months in the analyzed period. The units are fractional as in Vichi (2022). Reference Vichi, M.: An indicator of sea ice variability for the Antarctic marginal ice zone, The Cryosphere, 16, 4087–4106, https://doi.org/10.5194/tc-16-4087-2022 , 2022. This project has received funding from the National Research Foundation ...
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