Comparison of algorithms for estimating ocean primary production from surface chlorophyll, temperature, and irradiance

Autor: Campbell, J. W., Antoine, D., Armstrong, R., Arrigo, K., Balch, W., Barber, R., Behrenfeld, M., Bidigare, R., Bishop, J., Carr, M. -E, Esaias, W., Falkowski, P., Hoepffner, N., Iverson, R., Kiefer, D., Steven Lohrenz, Marra, J., Morel, A., Ryan, J., Vedernikov, V., Waters, K., Yentsch, C., Yoder, J.
Přispěvatelé: Laboratoire de Physique et Chimie Marines (LPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Computational Science and Engineering Department [Daresbury] (STFC), Science & Technologie Facilities Council, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2002
Předmět:
Zdroj: GLOBAL BIOGEOCHEMICAL CYCLES
GLOBAL BIOGEOCHEMICAL CYCLES, 2002, 16 (3), ⟨10.1029/2001GB001444⟩
Global Biogeochemical Cycles
Global Biogeochemical Cycles, 2002, 16 (3), ⟨10.1029/2001GB001444⟩
Scopus-Elsevier
ISSN: 0886-6236
Popis: International audience; [1] Results of a single-blind round-robin comparison of satellite primary productivity algorithms are presented. The goal of the round-robin exercise was to determine the accuracy of the algorithms in predicting depth-integrated primary production from information amenable to remote sensing. Twelve algorithms, developed by 10 teams, were evaluated by comparing their ability to estimate depth-integrated daily production (IP, mg C m(-2)) at 89 stations in geographically diverse provinces. Algorithms were furnished information about the surface chlorophyll concentration, temperature, photosynthetic available radiation, latitude, longitude, and day of the year. Algorithm results were then compared with IP estimates derived from C-14 uptake measurements at the same stations. Estimates from the best-performing algorithms were generally within a factor of 2 of the C-14-derived estimates. Many algorithms had systematic biases that can possibly be eliminated by reparameterizing underlying relationships. The performance of the algorithms and degree of correlation with each other were independent of the algorithms' complexity.
Databáze: OpenAIRE
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