Hinweis zum Urheberrecht
Bericht / Forschungsbericht / Abhandlung zugänglich unter
URL: https://epub.sub.uni-hamburg.de/epub/volltexte/2014/36453/
SMOS sea ice retrieval study (SMOSIce) : final report ; ESA support to science element (STSE)
Weitere Beteiligte (Hrsg. etc.): Kaleschke, Lars ...
Institut für Meereskunde
| SWD-Schlagwörter: |
| Meereis , Temperatur , Dicke , Salzgehalt , Satellitenfernerkundung , Mikrowellenfernerkundung , Algorithmus |
| Freie Schlagwörter (Deutsch): |
| Aufsatzsammlung |
| BK - Klassifikation: |
| 38.03 |
| DDC-Sachgruppe: |
| Geowissenschaften |
| Dokumentart: |
| Bericht / Forschungsbericht / Abhandlung |
| Sprache: |
| Englisch |
| Erstellungsjahr: |
| 2013 |
| Publikationsdatum: |
| 16.12.2014 |
| Kurzfassung auf Englisch: |
| The aim of the SMOSIce study was to develop, improve and validate algorithms for sea ice thickness retrieval from the 1.4 GHz (L-band) data of the European Space Agency's (ESA) Soil Moisture and Ocean Salinity (SMOS) mission. The potential to derive the ice thickness from Lband radiometry mainly depends on sea ice temperature and salinity. Several different sea ice emissivity models and retrieval algorithms have been developed and assessed using independent ice thickness estimates. The assessment has shown a clear advantage of a retrieval method that accounts for variations in ice temperature and ice salinity. This retrieval method determines the maximum thickness that can be retrieved. Sensitivity studies as well as comparisons with MODIS ice thickness revealed significantly better performance of the retrieval based on the brightness temperature near nadir in comparison to the difference of vertically and horizonally polarised brightness temperatures in the higher incidence angle range. A sea ice thickness product including three winter (October 15 to April 15) seasons has been derived from SMOS Level 1C brigthness temperature and is distributed via the Integrated Climate Data Center at the University of Hamburg, available at https://icdc.zmaw.de. The approximate uncertainties of the SMOS ice thickness retrieval are about 20% for ice thickness less than 30 cm and 100% for ice thickness more than half a meter with an ill-constrained upper limit. To determine changes of the total sea ice thickness and volume we recommend to use SMOS and CryoSat-2 data together because of their complementary error characteristics. There is the need for more validation measurements in both hemispheres to further improve the retrieval algorithm. |
