Marine ecosystem models for earth systems applications: The MarQUEST experience

被引:30
作者
Allen, J. Icarus [1 ]
Aiken, James [1 ]
Anderson, Thomas R. [2 ]
Buitenhuis, Erik [3 ]
Cornell, Sarah [4 ]
Geider, Richard J. [5 ]
Haines, Keith [6 ]
Hirata, Takafumi [1 ]
Holt, Jason [7 ]
Le Quere, Corinne [8 ]
Hardman-Mountford, Nicholas [1 ]
Ross, Oliver N. [5 ]
Sinha, Bablu [2 ]
While, James [6 ]
机构
[1] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England
[2] Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England
[3] Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England
[4] Univ Bristol, Dept Earth Sci, QUEST, Bristol BS8 1RJ, Avon, England
[5] Univ Essex, Dept Biol Sci, Colchester CO4 3SQ, Essex, England
[6] ESSC, Reading RG6 2AL, Berks, England
[7] Proudman Oceanog Lab, Liverpool L3 5DA, Merseyside, England
[8] British Antarctic Survey, Cambridge CB3 0ET, England
关键词
Ecosystem models; Plankton functional types; Data assimilation; Hydrodynamic models; Coastal zone processes; Model validation; PHYTOPLANKTON FUNCTIONAL TYPES; INHERENT OPTICAL-PROPERTIES; OCEAN COLOR; UNICELLULAR ALGAE; CONTINENTAL-SHELF; NUTRIENT DYNAMICS; DATA ASSIMILATION; GROWTH-RATES; FOOD-WEB; TEMPERATURE;
D O I
10.1016/j.jmarsys.2009.12.017
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The MarQUEST (Marine Biogeochemistry and Ecosystem Modelling Initiative in QUEST) project was established to develop improved descriptions of marine biogeochemistry, suited for the next generation of Earth system models. We review progress in these areas providing insight on the advances that have been made as well as identifying remaining key outstanding gaps for the development of the marine component of next generation Earth system models. The following issues are discussed and where appropriate results are presented; the choice of model structure, scaling processes from physiology to functional types, the ecosystem model sensitivity to changes in the physical environment, the role of the coastal ocean and new methods for the evaluation and comparison of ecosystem and biogeochemistry models. We make recommendations as to where future investment in marine ecosystem modelling should be focused, highlighting a generic software framework for model development, improved hydrodynamic models, and better parameterisation of new and existing models, reanalysis tools and ensemble simulations. The final challenge is to ensure that experimental/observational scientists are stakeholders in the models and vice versa. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:19 / 33
页数:15
相关论文
共 102 条
[1]   Validation of MERIS reflectance and chlorophyll during the BENCAL cruise October 2002: preliminary validation of new demonstration products for phytoplankton functional types and photosynthetic parameters [J].
Aiken, J. ;
Fishwick, J. R. ;
Lavender, S. ;
Barlow, R. ;
Moore, G. F. ;
Sessions, H. ;
Bernard, S. ;
Ras, J. ;
Hardman-Mountford, N. J. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (3-4) :497-516
[2]   Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models [J].
Allen, J. I. ;
Somerfield, P. J. ;
Gilbert, F. J. .
JOURNAL OF MARINE SYSTEMS, 2007, 64 (1-4) :3-14
[3]   A multivariate approach to model skill assessment [J].
Allen, J. I. ;
Somerfield, P. J. .
JOURNAL OF MARINE SYSTEMS, 2009, 76 (1-2) :83-94
[4]   An Ensemble Kalman Filter with a complex marine ecosystem model: hindcasting phytoplankton in the Cretan Sea [J].
Allen, JI ;
Eknes, M ;
Evensen, G .
ANNALES GEOPHYSICAE, 2003, 21 (01) :399-411
[5]   Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery [J].
Alvain, S ;
Moulin, C ;
Dandonneau, Y ;
Bréon, FM .
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2005, 52 (11) :1989-2004
[6]   Progress in marine ecosystem modelling and the "unreasonable effectiveness of mathematics" [J].
Anderson, Thomas R. .
JOURNAL OF MARINE SYSTEMS, 2010, 81 (1-2) :4-11
[7]   Plankton functional type modelling: running before we can walk? [J].
Anderson, TR .
JOURNAL OF PLANKTON RESEARCH, 2005, 27 (11) :1073-1081
[8]  
[Anonymous], 2004, Fundamentals of Ecology
[9]  
[Anonymous], 2008, NEMO ocean engine (Tech. Rep. 27). Notes du pole de Modelisation-Institut Pierre-Simon Laplace
[10]   Optimality-based modeling of nitrogen allocation and photo acclimation in photosynthesis [J].
Armstrong, Robert A. .
DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 2006, 53 (5-7) :513-531