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作 者:杨美晴 冯志轩 宋洪军 Yang Meiqing;Feng Zhixuan;Song Hongjun(State Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai 200241,China;Institute of Eco-Chongming,East China Normal University,Shanghai 202162,China;Key Laboratory of Marine Ecological Environment Science and Technology,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China)
机构地区:[1]华东师范大学河口海岸学国家重点实验室,上海200241 [2]华东师范大学崇明生态研究院,上海202162 [3]自然资源部第一海洋研究所海洋生态环境科学与技术重点实验室,山东青岛266061
出 处:《海洋学报》2023年第7期40-55,共16页
基 金:国家自然科学基金面上项目(42176225);上海市浦江人才计划(20PJ1403100);上海市“科技创新行动计划”自然科学基金(20ZR416300);上海市科学技术委员会重点项目(21JC402500)。
摘 要:在海冰覆盖的极地海区,浮游植物季节性藻华变化呈现典型的单峰特征。由于藻华过程受控于海冰、光照、混合层深度和营养盐供给等多个因素,其发生时间和强度在地球系统模式模拟结果中存在较大的不确定性。本研究选取11种CMIP6地球系统模式结果,以多种类型的观测资料和产品作为判断参考值,评估各模式结果能否准确模拟北极典型海区(巴伦支海、楚科奇海及白令海)浮游植物藻华动态的变化规律。通过计算能表征光照和营养盐限制的多个指标,分析表层叶绿素a浓度模拟结果的误差来源。结果表明,依据冰下光照时长、混合层变化速率、表层硝酸盐指标将11种模式分为3组,与参考值指标差异较小组别中的模式在藻华模拟方面明显占优,而其余模式在表层硝酸盐或混合层变化的模拟上存在较大误差,导致表层叶绿素a浓度峰值的发生时间延后且峰值浓度误差大。总体而言,地球系统模式配置中除要考虑光照和营养盐这两种基础限制条件外,也需关注由温盐控制的上混合层深度,从而准确模拟出表层叶绿素a浓度的季节性变化规律,上述研究为地球系统模式中相关参数化方案的改进提供了参考。Phytoplankton blooms in polar regions with seasonal sea ice cover show a unimodal seasonality.However,the bloom processes are controlled by multiple physical and biogeochemical factors,including sea ice,light availability,mixed layer depth,and nutrients;those may result in great uncertainties in simulating phytoplank-ton bloom by the Earth System Models(ESMs).In this study,the results of 11 Coupled Model Intercomparison Phase-6(CMIP6)ESMs were analyzed and evaluated with various types of observational products in order to de-termine whether those ESMs can correctly model the phytoplankton blooms in three Arctic shelf seas,Barents Sea,Chukchi Sea,and Bering Sea.By calculating multiple indices that represent light and nutrient limitations,the error sources of simulated surface chlorophyll a concentrations were comprehensively analyzed.Our results show that the 11 ESMs can be divided into three groups based on ice-adjusted photoperiod,rate of change of mixed layer depth,and surface nitrate concentration.Some groups are characterized by the smallest bias between modeled in-dices and observation-based reference,and those ESMs perform best in simulating phytoplankton bloom character-istics.The other groups of ESMs differ significantly from the reference values in terms of surface nitrate and/or rate of change of mixed layer depth,resulting in delayed occurrences of annual chlorophyll a peak concentration and greater differences in corresponding peak values.In general,in addition to the two primary constraints of light and nutrients,the ESMs should also well represent the upper mixed layer controlled by temperature and salinity distribu-tions,so as to accurately simulate the seasonal variation of surface chlorophyll a concentration.The above analyses indicate ESMs can be used in assessing polar planktonic ecosystems,and there is room for improving ecosystem-re-lated parametrization in future ESM development.
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