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基于SCHISM-CoSiNE模拟的2021年珠江口海域海表浮游植物分布

张昕 高姗 季轩梁 杨洪桥 朱学明 郑静静

海洋预报2024,Vol.41Issue(6):89-102,14.
海洋预报2024,Vol.41Issue(6):89-102,14.DOI:10.11737/j.issn.1003-0239.2024.06.010

基于SCHISM-CoSiNE模拟的2021年珠江口海域海表浮游植物分布

Sea surface phytoplankton distribution in the Pearl River Estuary in 2021 based on SCHISM-CoSiNE model

张昕 1高姗 1季轩梁 1杨洪桥 2朱学明 2郑静静1

作者信息

  • 1. 国家海洋环境预报中心,北京 100081||自然资源部海洋灾害预报技术重点实验室,北京 100081
  • 2. 南方海洋科学与工程广东省实验室(珠海),广东珠海 519080
  • 折叠

摘要

Abstract

To explore the distribution of phytoplankton in weak runoff condition,a three-dimensional baroclinic hydrodynamic-ecological coupled model(Semi-implicit Cross-scale Hydroscience Integrated System Model coupled with Carbon,Silicon,Nitrogen Ecosystem,SCHISM-CoSiNE)for the Pearl River Estuary based on an unstructured grid semi-implicit cross-scale ocean model has been established.The distribution of sea surface state variables in the Pearl River Estuary under weak runoff condition in 2021 has been discussed based on the model results.We explore the spatial correlation between key marine factors and daily runoff,and conduct an Empirical Orthogonal Function(EOF)analysis of sea surface chlorophyll-a.The results show that chlorophyll-a concentration from late June to August exhibits negative anomalies compared to the multi-year average.A contrasting phase of chlorophyll-a concentration distribution is observed offshore and in the open sea.Offshore chlorophyll-a increases during the wet season and decreases during the dry season,opposite change has been observed in the open sea.Notably,the significant difference between the 2021 results and the multi-year mean focuses on the opposite time coefficient of the third EOF mode in August and September.Overall,the phytoplankton distribution in 2021 aligns with the normal pattern.

关键词

珠江口/三维斜压水动力-生态耦合模型/海洋生物地球化学/数值模拟

Key words

Pearl River Estuary/SCHISM-CoSiNE/marine biogeochemistry/numerical simulation

分类

海洋科学

引用本文复制引用

张昕,高姗,季轩梁,杨洪桥,朱学明,郑静静..基于SCHISM-CoSiNE模拟的2021年珠江口海域海表浮游植物分布[J].海洋预报,2024,41(6):89-102,14.

基金项目

国家重点研发计划重点专项(2023YFC3107702、2023YFC3107705) (2023YFC3107702、2023YFC3107705)

南方海洋科学与工程广东省实验室(珠海)科研项目(SML2023SP219). (珠海)

海洋预报

OA北大核心CSTPCD

1003-0239

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