The potential for improving remote primary productivity estimates through subsurface chlorophyll and irradiance measurement

TitleThe potential for improving remote primary productivity estimates through subsurface chlorophyll and irradiance measurement
Publication TypeJournal Article
Year of Publication2015
AuthorsJacox M.G, Edwards C.A, Kahru M, Rudnick D.L, Kudela R.M
JournalDeep-Sea Research Part Ii-Topical Studies in Oceanography
Volume112
Pagination107-116
Date Published2015/02
Type of ArticleArticle
ISBN Number0967-0645
Accession NumberWOS:000350921700010
KeywordsArgo; Boundary currents; CalCOFI; california current system; chlorophyll; coastal; color; distributions; eastern; ocean primary production; photosynthesis; phytoplankton; primary production; Profiler; Remote sensing; satellite; seawifs; southern-california bight; Spray; surface; temperature; Underwater glider
Abstract

A 26-year record of depth integrated primary productivity (PP) in the Southern California Current System (SCCS) is analyzed with the goal of improving satellite net primary productivity (PP) estimates. Modest improvements in PP model performance are achieved by tuning existing algorithms for the SCCS, particularly by parameterizing carbon fixation rate in the vertically generalized production model as a function of surface chlorophyll concentration and distance from shore. Much larger improvements are enabled by improving the accuracy of subsurface chlorophyll and light profiles. In a simple vertically resolved production model for the SCCS (VRPM-SC), substitution of in situ surface data for remote sensing estimates offers only marginal improvements in model r(2) (from 0.54 to 0.56) and total log(10) root mean squared difference (from 0.22 to 0.21), while inclusion of in situ chlorophyll and light profiles improves these metrics to 0.77 and 0.15, respectively. Autonomous underwater gliders, capable of measuring subsurface properties on long-term, long-range deployments, significantly improve PP model fidelity in the SCCS. We suggest their use (and that of other autonomous profilers such as Argo floats) in conjunction with satellites as a way forward for large-scale improvements in PP estimation. (C) 2013 Elsevier Ltd. All rights reserved.

DOI10.1016/j.dsr2.2013.12.008
Student Publication: 
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