 |
| Titel |
Arctic surface temperatures from Metop AVHRR compared to in situ ocean and land data |
| VerfasserIn |
G. Dybkjær, R. Tonboe, J. L. Høyer |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1812-0784
|
| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 8, no. 6 ; Nr. 8, no. 6 (2012-11-08), S.959-970 |
| Datensatznummer |
250006011
|
| Publikation (Nr.) |
 copernicus.org/os-8-959-2012.pdf |
|
|
|
|
|
| Zusammenfassung |
| The ice surface temperature (IST) is an important boundary condition for both
atmospheric and ocean and sea ice models and for coupled systems. An
operational ice surface temperature product using satellite Metop AVHRR
infra-red data was developed for MyOcean. The IST can be mapped in clear sky
regions using a split window algorithm specially tuned for sea ice. Clear sky
conditions prevail during spring in the Arctic, while persistent cloud
cover limits data coverage during summer. The cloud covered regions are
detected using the EUMETSAT cloud mask. The Metop IST compares to 2 m
temperature at the Greenland ice cap Summit within STD error of
3.14 °C and to Arctic drifting buoy temperature data within STD error
of 3.69 °C. A case study reveals that the in situ radiometer data
versus satellite IST STD error can be much lower (0.73 °C) and that
the different in situ measurements complicate the validation. Differences and
variability between Metop IST and in situ data are analysed and discussed. An
inter-comparison of Metop IST, numerical weather prediction temperatures and
in situ observation indicates large biases between the different quantities.
Because of the scarcity of conventional surface temperature or surface air
temperature data in the Arctic, the satellite IST data with its relatively
good coverage can potentially add valuable information to model analysis for
the Arctic atmosphere. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|