Marine ecosystem dynamic models(MEDMs) are important tools for the simulation and prediction of marine ecosystems. This article summarizes the methods and strategies used for the improvement and assessment of MEDM ski...Marine ecosystem dynamic models(MEDMs) are important tools for the simulation and prediction of marine ecosystems. This article summarizes the methods and strategies used for the improvement and assessment of MEDM skill, and it attempts to establish a technical framework to inspire further ideas concerning MEDM skill improvement. The skill of MEDMs can be improved by parameter optimization(PO), which is an important step in model calibration. An effi cient approach to solve the problem of PO constrained by MEDMs is the global treatment of both sensitivity analysis and PO. Model validation is an essential step following PO, which validates the effi ciency of model calibration by analyzing and estimating the goodness-of-fi t of the optimized model. Additionally, by focusing on the degree of impact of various factors on model skill, model uncertainty analysis can supply model users with a quantitative assessment of model confi dence. Research on MEDMs is ongoing; however, improvement in model skill still lacks global treatments and its assessment is not integrated. Thus, the predictive performance of MEDMs is not strong and model uncertainties lack quantitative descriptions, limiting their application. Therefore, a large number of case studies concerning model skill should be performed to promote the development of a scientifi c and normative technical framework for the improvement of MEDM skill.展开更多
Oceanic nutrient cycling plays a key role in understanding how oceanic biogeochemical parameters respond in varying physical and anthropogenically controlled processes. OA （Objective Analysis） of monthly climatology...Oceanic nutrient cycling plays a key role in understanding how oceanic biogeochemical parameters respond in varying physical and anthropogenically controlled processes. OA （Objective Analysis） of monthly climatology of WOAI3 （World Ocean Atlas 13） nutrient data of 5 km resolution called Nutrient-Climo has been done in this paper for analyzing the nutrient-rich region in the BOB （Bay of Bengal） and the mechanisms of physical forces were examined using six years （2002-2007） global ocean monthly analysis datasets based on the SODA v2.0.4 （Simple Ocean Data Assimilation package）. The upwelled zones established from the circulation pattern were well synchronized with the nitrate rich zones. The POC （particulate organic carbon） of 5 km resolution has been analyzed from MODIS （Moderate-resolution Imaging Spectroradiometer） data and Chl a （Chlorophyll a） concentration SeaWiFS （Sea-viewing Wide Field-of-view Sensor） data of 9 km resolution are used to predict the productive zones in the BOB. In this paper, we examined that Chl a concentration （above 0.5 mg/m3） is found during the post-monsoon followed by winter in the north-western, north-eastern coast and head BOB as the source of nutrients is also supplementary due to high input of litter and sediment associated nutrients that are released during estuarine transport.展开更多
基金Supported by the National Natural Science Foundation of China(Nos.41206111,41206112)
文摘Marine ecosystem dynamic models(MEDMs) are important tools for the simulation and prediction of marine ecosystems. This article summarizes the methods and strategies used for the improvement and assessment of MEDM skill, and it attempts to establish a technical framework to inspire further ideas concerning MEDM skill improvement. The skill of MEDMs can be improved by parameter optimization(PO), which is an important step in model calibration. An effi cient approach to solve the problem of PO constrained by MEDMs is the global treatment of both sensitivity analysis and PO. Model validation is an essential step following PO, which validates the effi ciency of model calibration by analyzing and estimating the goodness-of-fi t of the optimized model. Additionally, by focusing on the degree of impact of various factors on model skill, model uncertainty analysis can supply model users with a quantitative assessment of model confi dence. Research on MEDMs is ongoing; however, improvement in model skill still lacks global treatments and its assessment is not integrated. Thus, the predictive performance of MEDMs is not strong and model uncertainties lack quantitative descriptions, limiting their application. Therefore, a large number of case studies concerning model skill should be performed to promote the development of a scientifi c and normative technical framework for the improvement of MEDM skill.
文摘Oceanic nutrient cycling plays a key role in understanding how oceanic biogeochemical parameters respond in varying physical and anthropogenically controlled processes. OA （Objective Analysis） of monthly climatology of WOAI3 （World Ocean Atlas 13） nutrient data of 5 km resolution called Nutrient-Climo has been done in this paper for analyzing the nutrient-rich region in the BOB （Bay of Bengal） and the mechanisms of physical forces were examined using six years （2002-2007） global ocean monthly analysis datasets based on the SODA v2.0.4 （Simple Ocean Data Assimilation package）. The upwelled zones established from the circulation pattern were well synchronized with the nitrate rich zones. The POC （particulate organic carbon） of 5 km resolution has been analyzed from MODIS （Moderate-resolution Imaging Spectroradiometer） data and Chl a （Chlorophyll a） concentration SeaWiFS （Sea-viewing Wide Field-of-view Sensor） data of 9 km resolution are used to predict the productive zones in the BOB. In this paper, we examined that Chl a concentration （above 0.5 mg/m3） is found during the post-monsoon followed by winter in the north-western, north-eastern coast and head BOB as the source of nutrients is also supplementary due to high input of litter and sediment associated nutrients that are released during estuarine transport.
