Seasonal constraints on the estimation of new production from space using temperature-nitrate relationships

Henson, Stephanie A., Sanders, Richard, Allen, John T., Robinson, Ian S. and Brown, Louise (2003) Seasonal constraints on the estimation of new production from space using temperature-nitrate relationships. Geophysical Research Letters, 30, (17), 1912-[4pp]. (doi:10.1029/2003GL017982).


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Inverse relationships between sea surface temperature and concentrations of the major inorganic nutrients have recently been exploited to estimate new production from remotely sensed data. In situ surface data collected in the Irminger Basin during four successive seasons in 2001/2 allow a robust examination of the conceptual processes behind temperature-nitrate relationships. The data confirm a simple model of the seasonal variation in the temperature-nitrate relationship. A strong inverse correlation between temperature and nitrate is found in both winter data sets, but no correlation is seen in spring or summer. Furthermore, the slope of the temperature-nitrate regression is found to be different for the two winter data sets. The results have implications for using temperature-nitrate relationships to derive new production estimates at high latitudes from satellite sea surface temperature measurements. However, the data allow a simple, lower-bound estimate of the region's new production to be made by exploiting Argo float data.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1029/2003GL017982
ISSNs: 0094-8276 (print)
Related URLs:
Keywords: surface temperature, primary production, nutrients, atlnnwirm, irminger sea, nitrate, seasonal variations, satellite sensing, "discovery"
Subjects: Q Science > QH Natural history > QH301 Biology
G Geography. Anthropology. Recreation > GC Oceanography
Divisions : University Structure - Pre August 2011 > School of Ocean & Earth Science (SOC/SOES)
ePrint ID: 2243
Accepted Date and Publication Date:
September 2003Published
Date Deposited: 21 May 2004
Last Modified: 31 Mar 2016 11:09

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