D. Antoine et al., OCEANIC PRIMARY PRODUCTION .2. ESTIMATION AT GLOBAL-SCALE FROM SATELLITE (COASTAL ZONE COLOR SCANNER) CHLOROPHYLL, Global biogeochemical cycles, 10(1), 1996, pp. 57-69
A fast method has been proposed [Antoine and Morel, this issue] to com
pute the oceanic primary production from the upper ocean chlorophyll-l
ike pigment concentration, as it can be routinely detected by a spaceb
orne ocean color sensor. This method is applied here to the monthly gl
obal maps of the photosynthetic pigments that were derived from the co
astal zone color scanner (CZCS) data archive [Feldman et at., 1989]. T
he photosynthetically active radiation (PAR) field is computed from th
e astronomical constant and by using an atmospheric model, thereafter
combined with averaged cloud information, derived from the Internation
al Satellite Cloud Climatology Project (ISCCP). The aim is to assess t
he seasonal evolution, as well as the spatial distribution of the phot
osynthetic carbon fixation within the world ocean and for a ''climatol
ogical year'', to the extent that both the chlorophyll information and
the cloud coverage statistics actually are averages obtained over sev
eral years. The computed global annual production actually ranges betw
een 36.5 and 45.6 Gt C yr(-1) according to the assumption which is mad
e (0.8 or 1) about the ratio of active-to-total pigments (recall that
chlorophyll and pheopigments are not radiometrically resolved by CZCS)
. The relative contributions to the global productivity of the various
oceans and zonal belts are examined. By considering the hypotheses ne
eded in such computations, the nature of the data used as inputs, and
the results of the sensitivity studies, the global numbers have to be
cautiously considered. Improving the reliability of the primary produc
tion estimates implies (1) new global data sets allowing a higher temp
oral resolution and a better coverage, (2) progress in the knowledge o
f physiological responses of phytoplankton and therefore refinements o
f the time and space dependent parameterizations of these responses.