Summer Sea Ice Concentration of Arctic from Passive Microwave Data (1988-2020)
Description
This dataset includes Arctic sea ice concentration (SIC) from 1988 to 2020. It is based on a machine learning model trained using 2001-2020 MODSI SIC data, in which the influence of wet sea ice and melt pond on SIC is considered. The input data for the machine learning model is 25km SSMI/SSMIS passive microwave brightness temperature data from1988 to 2020, with a temporal resolution of 1 day. The data is provided in GeoTiff format.
Files
Steps to reproduce
1. Sea ice concentration (SIC) is derived from MODIS using a dynamic pixel unmixing algorithm (https://doi.org/10.1016/j.isprsjprs.2023.01.023). 2. MODIS SIC under clear sky condition in Arctic during 2001-2020 is used for machine learning training (random forest) as the training target, SSMI/SSMIS passive mirowave data and other variables are used for training inputs. 3. The trained machine learning model is used to estimate daily SIC in Arctic for summer season using SSMI/SSMIS passive microwave data as input.