Modelling Kara Sea phytoplankton primary production: Development and skill assessment of regional algorithms

Empirical region-specific (RSM), depth-integrated (DIM) and depth-resolved (DRM) primary production models are developed based on data from the Kara Sea during the autumn (September–October 1993, 2007, 2011). The model is validated by using field and satellite (MODIS-Aqua) observations. Our findings...

Full description

Saved in:
Bibliographic Details
Published in:Journal of sea research Vol. 125; pp. 1 - 17
Main Authors: Demidov, Andrey B., Kopelevich, Oleg V., Mosharov, Sergey A., Sheberstov, Sergey V., Vazyulya, Svetlana V.
Format: Journal Article
Language:English
Published: Lausanne Elsevier B.V 01.07.2017
Elsevier BV
Subjects:
Algorithms
Attenuation coefficients
autumn
carbon dioxide fixation
Carbon fixation
Chlorophyll
Chlorophyll a
Chlorophyll specific carbon fixation rate
Chlorophylls
Efficiency of photosynthesis
Empirical analysis
Extinction coefficient
Kara Sea
Mathematical models
model validation
Modelling
Modelling primary production
MODIS
Parameterization
Photosynthesis
photosynthetically active radiation
Phytoplankton
Plankton
Polypropylene
Primary production
primary productivity
Profiles
Regional analysis
Regional development
Regression analysis
Satellite observation
Satellites
Vertical profiles
Water column
Kara Sea
Efficiency of photosynthesis
Modelling primary production
Chlorophyll specific carbon fixation rate
Kara Sea
Primary production
Chlorophyll a
ISSN:1385-1101, 1873-1414
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Empirical region-specific (RSM), depth-integrated (DIM) and depth-resolved (DRM) primary production models are developed based on data from the Kara Sea during the autumn (September–October 1993, 2007, 2011). The model is validated by using field and satellite (MODIS-Aqua) observations. Our findings suggest that RSM algorithms perform better than non-region-specific algorithms (NRSM) in terms of regression analysis, root-mean-square difference (RMSD) and model efficiency. In general, the RSM and NRSM underestimate or overestimate the in situ water column integrated primary production (IPP) by a factor of 2 and 2.8, respectively. Additionally, our results suggest that the model skill of the RSM increases when the chlorophyll specific carbon fixation rate, efficiency of photosynthesis and photosynthetically available radiation (PAR) are used as input variables. The parameterization of chlorophyll (chl a) vertical profiles is performed in Kara Sea waters with different trophic statuses. Model validation with field data suggests that the DIM and DRM algorithms perform equally (RMSD of 0.29 and 0.31, respectively). No changes in the performance of the DIM and DRM algorithms are observed (RMSD of 0.30 and 0.31, respectively) when satellite-derived chl a, PAR and the diffuse attenuation coefficient (Kd) are applied as input variables. •Region-specific Kara Sea primary production algorithms were developed.•Region-specific algorithms performed better than non-regional-specific algorithms.•Photophysiological variables and incident radiation improved the models.•Parameterization of vertical chlorophyll profiles was performed.•Depth-integrated and depth-resolved algorithms performed equally.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1385-1101
1873-1414
DOI:10.1016/j.seares.2017.05.004