WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula

WAP-1D-VAR (v1.0) is a variational data assimilation 1-D marine ecosystem model combining the forward model simulation and the backwardmodel simulation for model optimization. The backward model simulation is a tangent linear adjoint version of the forward model and is used in a variational adjoint...

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Main Authors: Kim, H. Heather, Luo, Ya-Wei, Ducklow, Hugh W., Schofield, Oscar M., Steinberg, Deborah K., Doney, Scott C.
Format: Other/Unknown Material
Language:English
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5281/zenodo.4470034
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spelling ftzenodo:oai:zenodo.org:4470034 2024-09-15T17:48:32+00:00 WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula Kim, H. Heather Luo, Ya-Wei Ducklow, Hugh W. Schofield, Oscar M. Steinberg, Deborah K. Doney, Scott C. 2021-01-26 https://doi.org/10.5281/zenodo.4470034 eng eng Zenodo https://doi.org/10.5281/zenodo.4470033 https://doi.org/10.5281/zenodo.4470034 oai:zenodo.org:4470034 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Variational adjoint method M1QN3 Data assimilation Parameter optimization info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.447003410.5281/zenodo.4470033 2024-07-27T06:01:40Z WAP-1D-VAR (v1.0) is a variational data assimilation 1-D marine ecosystem model combining the forward model simulation and the backwardmodel simulation for model optimization. The backward model simulation is a tangent linear adjoint version of the forward model and is used in a variational adjoint method that optimizes model parameters to adjust model outputs towards observations. The variational adjoint method requires four components for data assimilation that WAP-1D-VAR provides within: 1) a forward model simulated by physical forcings and initial (initial conditions and model parameter guesses) and boundary conditions; 2) a cost function to evaluate misfits between the forward model results and the assimilated observations; 3) a tangent linear adjoint version of the forward model to compute the gradient of the cost function with respect to model parameters; and 4) an optimization procedure (M1QN3 3.1) to determine the direction and the optimal step size by which the model parameters should be modified to reduce the cost function based on the cost function gradient from 3). These four components are iterated sequentially to determine a set of the adjusted model parameters until present criteria are satisfied (e.g., low gradients), which then serves as an optimal numerical solution (equations with the optimized model parameters) for the final model outputs. The model development and validation for version v1.0 of the model for Palmer Station, Antarctica, is presented in: Kim, H. H., Luo, Y.-W., Ducklow, H. W., Schofield, O. M., Steinberg, D. K., Doney, S. C (2021). WAP-1D-VAR v1.0: Development and Evaluation of a One-Dimensional Variational Data Assimilation Model for the Marine Ecosystem Along the West Antarctic Peninsula, Geoscientific Model Development, Under Review. The Kim et al. manuscript describes in more detail the variables and model equations used in the forward model, physical forcing data sets used for Palmer Station, and the resulting optimized model parameters. Other/Unknown Material Antarc* Antarctic Antarctic Peninsula Antarctica Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Variational adjoint method
M1QN3
Data assimilation
Parameter optimization
spellingShingle Variational adjoint method
M1QN3
Data assimilation
Parameter optimization
Kim, H. Heather
Luo, Ya-Wei
Ducklow, Hugh W.
Schofield, Oscar M.
Steinberg, Deborah K.
Doney, Scott C.
WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula
topic_facet Variational adjoint method
M1QN3
Data assimilation
Parameter optimization
description WAP-1D-VAR (v1.0) is a variational data assimilation 1-D marine ecosystem model combining the forward model simulation and the backwardmodel simulation for model optimization. The backward model simulation is a tangent linear adjoint version of the forward model and is used in a variational adjoint method that optimizes model parameters to adjust model outputs towards observations. The variational adjoint method requires four components for data assimilation that WAP-1D-VAR provides within: 1) a forward model simulated by physical forcings and initial (initial conditions and model parameter guesses) and boundary conditions; 2) a cost function to evaluate misfits between the forward model results and the assimilated observations; 3) a tangent linear adjoint version of the forward model to compute the gradient of the cost function with respect to model parameters; and 4) an optimization procedure (M1QN3 3.1) to determine the direction and the optimal step size by which the model parameters should be modified to reduce the cost function based on the cost function gradient from 3). These four components are iterated sequentially to determine a set of the adjusted model parameters until present criteria are satisfied (e.g., low gradients), which then serves as an optimal numerical solution (equations with the optimized model parameters) for the final model outputs. The model development and validation for version v1.0 of the model for Palmer Station, Antarctica, is presented in: Kim, H. H., Luo, Y.-W., Ducklow, H. W., Schofield, O. M., Steinberg, D. K., Doney, S. C (2021). WAP-1D-VAR v1.0: Development and Evaluation of a One-Dimensional Variational Data Assimilation Model for the Marine Ecosystem Along the West Antarctic Peninsula, Geoscientific Model Development, Under Review. The Kim et al. manuscript describes in more detail the variables and model equations used in the forward model, physical forcing data sets used for Palmer Station, and the resulting optimized model parameters.
format Other/Unknown Material
author Kim, H. Heather
Luo, Ya-Wei
Ducklow, Hugh W.
Schofield, Oscar M.
Steinberg, Deborah K.
Doney, Scott C.
author_facet Kim, H. Heather
Luo, Ya-Wei
Ducklow, Hugh W.
Schofield, Oscar M.
Steinberg, Deborah K.
Doney, Scott C.
author_sort Kim, H. Heather
title WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula
title_short WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula
title_full WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula
title_fullStr WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula
title_full_unstemmed WAP-1D-VAR v1.0: A One-Dimensional Variational Data Assimilation Model for the West Antarctic Peninsula
title_sort wap-1d-var v1.0: a one-dimensional variational data assimilation model for the west antarctic peninsula
publisher Zenodo
publishDate 2021
url https://doi.org/10.5281/zenodo.4470034
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
op_relation https://doi.org/10.5281/zenodo.4470033
https://doi.org/10.5281/zenodo.4470034
oai:zenodo.org:4470034
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.447003410.5281/zenodo.4470033
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