The Arctic combined model and satellite sea ice thickness (CMST) dataset, supplement to: Mu, Longjiang; Losch, Martin; Yang, Qinghua; Ricker, Robert; Losa, Svetlana N; Nerger, Lars (2018): Arctic-wide sea ice thickness estimates from combining satellite remote sensing data and a dynamicice-ocean model with data assimilation during the CryoSat-2 period. Journal of Geophysical Research: Oceans, 123(11), 7763-7780

• Main Authors: Mu, Longjiang, Losch, Martin, Yang, Qinghua, Ricker, Robert, Losa, Svetlana N, Nerger, Lars
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2018
• Subjects: File content; File name; File format; File size; Uniform resource locator/link to file; Arctic; Sea ice
• Online Access: https://dx.doi.org/10.1594/pangaea.891475; https://doi.pangaea.de/10.1594/PANGAEA.891475

An Arctic sea ice thickness record covering from 2010 to 2016 is generated by assimilating satellite thickness from CryoSat-2 and Soil Moisture and Ocean Salinity (SMOS). The model is based on the Massachusetts Institute of Technology general circulation model (MITgcm) and the assimilation is performed by a local Error Subspace TransformKalman filter (LESTKF) coded in the Parallel Data Assimilation Framework (PDAF). : The sea ice thickness data (V1.0) are provided north of 65N, starting from 2010-10-01 and ending on 2016-12-31. Note that the record on 2016-12-31 is just the duplication of 2016-12-30, as we did not have the ensemble atmospheric forcing on 2017-01-01, when we did this work at that time. There are 5 records missing also because of the forcing, and they are linear interpolated between adjacent records.