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Comparison of algorithms for estimating ocean primary production from surface chlorophyll, temperature, and irradiance
Author(s) -
Campbell Janet,
Antoine David,
Armstrong Robert,
Arrigo Kevin,
Balch William,
Barber Richard,
Behrenfeld Michael,
Bidigare Robert,
Bishop James,
Carr MaryElena,
Esaias Wayne,
Falkowski Paul,
Hoepffner Nicolas,
Iverson Richard,
Kiefer Dale,
Lohrenz Steven,
Marra John,
Morel Andre,
Ryan John,
Vedernikov Vladimir,
Waters Kirk,
Yentsch Charles,
Yoder James
Publication year - 2002
Publication title -
global biogeochemical cycles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.512
H-Index - 187
eISSN - 1944-9224
pISSN - 0886-6236
DOI - 10.1029/2001gb001444
Subject(s) - algorithm , irradiance , longitude , satellite , latitude , environmental science , remote sensing , primary production , computer science , production (economics) , productivity , chlorophyll a , geology , geodesy , biology , engineering , ecology , quantum mechanics , aerospace engineering , ecosystem , physics , botany , macroeconomics , economics
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 14 C uptake measurements at the same stations. Estimates from the best‐performing algorithms were generally within a factor of 2 of the 14 C‐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.