DOI: | 10.1002/2014GL061178
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论文题名: | Periodic time-dependent parameters improving forecasting abilities of biological ocean models |
作者: | Mattern J.P.; Fennel K.; Dowd M.
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刊名: | Geophysical Research Letters
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ISSN: | 0094-9752
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EISSN: | 1944-9483
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出版年: | 2014
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卷: | 41, 期:19 | 起始页码: | 6848
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结束页码: | 6854
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语种: | 英语
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英文关键词: | biogeochemical ocean model
; emulator
; parameter estimation
; satellite chlorophyll
; time-dependent parameters
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Scopus关键词: | Biogeochemistry
; Chlorophyll
; Computer simulation
; Plankton
; Emulator
; Estimated parameter
; Forecasting ability
; Model simulation
; Ocean model
; Optimal parameter
; Plankton dynamics
; Time dependent parameter
; Parameter estimation
; biogeochemistry
; biological oceanography
; chlorophyll
; estimation method
; parameterization
; periodicity
; plankton
; simulation
; succession
; time series
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英文摘要: | Using two emulator-based procedures, we estimate time-dependent values for two key plankton parameters in a three-dimensional biogeochemical (BGC) ocean model. The estimation is based on a 4 year time series of daily surface satellite chlorophyll observations. The estimated parameters display an annual periodicity that can be explained by the succession of plankton groups in the study region. Model simulations using these parameters show improved fit to observations and better forecasting abilities compared to simulations with constant optimal parameters; the newly introduced sequential parameter estimation procedure creates the strongest improvement. The inclusion of time-dependent parameters represents a simple way to improve the predictive skill of BGC models and their representation of plankton dynamics. Key Points Two techniques for estimating time-dependent parameters are introduced and comparedTime-dependent parameters improve plankton representation in 3-D ocean modelsAnnual periodicity in parameters improves forecast over constant parameters ©2014. American Geophysical Union. All Rights Reserved. |
URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911405262&doi=10.1002%2f2014GL061178&partnerID=40&md5=2d26c7a57036610635debac1a13c64b2
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Citation statistics: |
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资源类型: | 期刊论文
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标识符: | http://119.78.100.158/handle/2HF3EXSE/7016
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Appears in Collections: | 气候减缓与适应
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作者单位: | Ocean Sciences Department, University of California, Santa Cruz, CA, United States
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Recommended Citation: |
Mattern J.P.,Fennel K.,Dowd M.. Periodic time-dependent parameters improving forecasting abilities of biological ocean models[J]. Geophysical Research Letters,2014-01-01,41(19).
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