Comparison of in situ time-series of temperature with gridded sea surface temperature datasets in the North Atlantic | Zendy

Sarah L. Hughes | Zendy; N. Penny Holliday | Zendy; Eugene Colbourne | Zendy; Vladimir Ozhigin | Zendy; Héðinn Valdimarsson | Zendy; Svein Østerhus | Zendy; Karen Helen Wiltshire | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Comparison of in situ time-series of temperature with gridded sea surface temperature datasets in the North Atlantic

Author(s) -

Sarah L. Hughes,

N. Penny Holliday,

Eugene Colbourne,

Vladimir Ozhigin,

Héðinn Valdimarsson,

Svein Østerhus,

Karen Helen Wiltshire

Publication year - 2009

Publication title -

ices journal of marine science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.348

H-Index - 117

eISSN - 1095-9289

pISSN - 1054-3139

DOI - 10.1093/icesjms/fsp041

Subject(s) - sea surface temperature , climatology , environmental science , proxy (statistics) , in situ , surface air temperature , series (stratigraphy) , climate change , oceanography , geology , meteorology , geography , paleontology , machine learning , computer science

Analysis of the effects of climate variability and climate change on the marine ecosystem is difficult in regions where long-term observations of ocean temperature are sparse or unavailable. Gridded sea surface temperature (SST) products, based on a combination of satellite and in situ observations, can be used to examine variability and long term trends as they provide better spatial coverage than the limited sets of long in situ time-series. SST data from three gridded products (Reynolds/NCEP OISST.v2., Reynolds ERSST.v3 and the Hadley Centre HadISST1) are compared with long time-series of in situ measurements from ICES standard sections in the North Atlantic and Nordic Seas. The variability and trends derived from these two data sources are examined and the usefulness of the products as a proxy for sub-surface conditions is discussed

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research