Verification of Kara Sea primary production models with field and satellite observations
- Authors: Demidov A.B.1, Sheberstov S.V.1, Vazyulya S.V.1, Artemiev V.A.1, Mosharov S.A.1,2, Khrapko A.N.1
- 
							Affiliations: 
							- Shirshov Institute of Oceanology
- Bauman Moscow State Technical University
 
- Issue: Vol 56, No 6 (2016)
- Pages: 799-808
- Section: Marine Biology
- URL: https://journals.rcsi.science/0001-4370/article/view/149300
- DOI: https://doi.org/10.1134/S0001437016060011
- ID: 149300
Cite item
Abstract
The depth-integrated model (Ψ-Mod) and depth-resolved Kara Sea model (KDRSM) of primary production in the water column were verified using field (2013–2015) and satellite (MODIS-Aqua scanner, 2007, 2011, 2013–2015) observations. The KSDRM and Ψ-Mod over- or underestimate the values of integrated primary production (IPP) in autumn by a factor of 2 and 2.5 with shipboard data as input parameters; the rootmean-square difference (RMSD) was 0.29 and 0.39, respectively. In summer, the efficiency of Ψ-Mod decreased by a factor of 1.5 (RMSD = 0.57), while the predictive capacity of the KSDRM remained the same (RMSD = 0.31). In the Laptev Sea in autumn, the KSDRM performed better than Ψ-Mod (the RMSD was 0.24 and 0.41, respectively). There was no sufficient decrease in the predictive skill of either algorithm when MODIS-Aqua data were used as input parameters. Thus, Ψ-Mod, being a simple and precise algorithm, can be recommended for evaluating the annual IPP in the Kara Sea and for studying its long-term variability using satellite data.
About the authors
A. B. Demidov
Shirshov Institute of Oceanology
							Author for correspondence.
							Email: demspa@rambler.ru
				                					                																			                												                	Russian Federation, 							Moscow						
S. V. Sheberstov
Shirshov Institute of Oceanology
														Email: demspa@rambler.ru
				                					                																			                												                	Russian Federation, 							Moscow						
S. V. Vazyulya
Shirshov Institute of Oceanology
														Email: demspa@rambler.ru
				                					                																			                												                	Russian Federation, 							Moscow						
V. A. Artemiev
Shirshov Institute of Oceanology
														Email: demspa@rambler.ru
				                					                																			                												                	Russian Federation, 							Moscow						
S. A. Mosharov
Shirshov Institute of Oceanology; Bauman Moscow State Technical University
														Email: demspa@rambler.ru
				                					                																			                												                	Russian Federation, 							Moscow; Moscow						
A. N. Khrapko
Shirshov Institute of Oceanology
														Email: demspa@rambler.ru
				                					                																			                												                	Russian Federation, 							Moscow						
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