| _version_ | 1867169128888926208 |
|---|---|
| author | Mu, Longjiang Losch, Martin Yang, Qinghua Ricker, Robert Losa, Svetlana N Nerger, Lars |
| author_facet | Mu, Longjiang Losch, Martin Yang, Qinghua Ricker, Robert Losa, Svetlana N Nerger, Lars |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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 Transform Kalman filter (LESTKF) coded in the Parallel Data Assimilation Framework (PDAF). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_891475 |
| institution | PANGAEA |
| language | en |
| publishDate | 2018 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | The Arctic combined model and satellite sea ice thickness (CMST) dataset Mu, Longjiang Losch, Martin Yang, Qinghua Ricker, Robert Losa, Svetlana N Nerger, Lars File content; File format; File name; File size; Uniform resource locator/link to file 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 Transform Kalman filter (LESTKF) coded in the Parallel Data Assimilation Framework (PDAF). |
| title | The Arctic combined model and satellite sea ice thickness (CMST) dataset |
| topic | File content; File format; File name; File size; Uniform resource locator/link to file |
| url | https://doi.org/10.1594/PANGAEA.891475 |