A spectrally-resolved light propagation model for aquatic systems: Steps toward parameterizing primary production

被引:9
作者
Alver, Morten O. [1 ]
Hancke, Kasper [2 ]
Sakshaug, Egil [2 ]
Slagstad, Dag [1 ]
机构
[1] SINTEF Fisheries & Aquaculture AS, SINTEF Sealab, N-7010 Trondheim, Norway
[2] Norwegian Univ Sci & Technol, Dept Biol, Trondheim Biol Stn, N-7491 Trondheim, Norway
关键词
Light propagation; Numerical model; Spectral irradiance; Ecosystem; Primary production; MARGINAL ICE-ZONE; BARENTS SEA; ECOSYSTEM DYNAMICS; OPTICAL-PROPERTIES; POLAR FRONT; CARBON FLUX; PHYTOPLANKTON; ABSORPTION; PARTICLES; WATERS;
D O I
10.1016/j.jmarsys.2012.03.007
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Light is the primary energy source fuelling the primary production in the ocean, and an accurate representation of the light's propagation in the water column is important for ecological models that seek to estimate primary production. Ecological models typically use a non-spectral representation of light, meaning that information about the wavelength-specific absorption and scattering properties of the optical components in the water is lost. In this work, a spectrally-resolved light field propagation model (SINMOD Light, or SL) has been developed for the purpose of providing reliable estimates of primary production, while keeping the computational load low enough to be acceptable for 3D ecological models. The model is tested against the radiative transfer model Ecolight as well as in situ data from the Barents Sea. Compared to Ecolight, SL has much simpler dynamics and requires around 1% of the computation time. The spectral downwelling irradiances predicted by SL are highly correlated (>= 0.95) with the measurements for the four tested scenarios. The correlations are similar to those seen between Ecolight and measurements. For upwelling irradiances, the match is stronger (>= 0.98) between SL and Ecolight than between the data and either model. Comparing primary production estimates, there is good agreement between SL and the in situ data, with average prediction errors within 5% of the maximum production rate. The spectral model predicts primary production slightly more accurately than a non-spectral model normalized to equal SL near the surface (on average within 6%). A spectral model allows more sophisticated treatment of phytoplankton and other components with differing optical characteristics in ecosystem modelling. Furthermore, the model allows an estimate of the water-leaving radiance to be computed along with the underwater irradiance distribution. This can be developed further into a powerful tool for verification of remote sensing products as well as validation of ecosystem models using high-accuracy water-leaving radiance measurements. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:134 / 146
页数:13
相关论文
共 37 条
[1]  
[Anonymous], 1994, Light and Water: Radiative Transfer in Natural Waters
[2]   Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration [J].
Babin, M ;
Morel, A ;
Fournier-Sicre, V ;
Fell, F ;
Stramski, D .
LIMNOLOGY AND OCEANOGRAPHY, 2003, 48 (02) :843-859
[3]   A SIMPLE, SOLAR SPECTRAL MODEL FOR DIRECT-NORMAL AND DIFFUSE HORIZONTAL IRRADIANCE [J].
BIRD, RE .
SOLAR ENERGY, 1984, 32 (04) :461-471
[4]   OPTICAL-PROPERTIES OF DIVERSE PHYTOPLANKTONIC SPECIES - EXPERIMENTAL RESULTS AND THEORETICAL INTERPRETATION [J].
BRICAUD, A ;
BEDHOMME, AL ;
MOREL, A .
JOURNAL OF PLANKTON RESEARCH, 1988, 10 (05) :851-873
[5]   Natural variability of phytoplanktonic absorption in oceanic waters: Influence of the size structure of algal populations [J].
Bricaud, A ;
Claustre, H ;
Ras, J ;
Oubelkheir, K .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2004, 109 (C11) :C110101-12
[6]   Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case 1) waters:: Analysis and implications for bio-optical models [J].
Bricaud, A ;
Morel, A ;
Babin, M ;
Allali, K ;
Claustre, H .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C13) :31033-31044
[7]  
BRICAUD A, 1981, LIMNOL OCEANOGR, V26, P43
[8]  
Carmack E.C., 1990, POLAR OCEANOGRAPHY P, P171, DOI DOI 10.1016/B978-0-12-653031-5.50009-6
[9]  
Chang G., 2004, OCEANOGRAPHY, V17
[10]   MODIFYING THE T-TEST FOR ASSESSING THE CORRELATION BETWEEN 2 SPATIAL PROCESSES [J].
DUTILLEUL, P .
BIOMETRICS, 1993, 49 (01) :305-314