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 backward model 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: Article in Journal/Newspaper
Language:English
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.4447605
https://zenodo.org/record/4447605
id ftdatacite:10.5281/zenodo.4447605
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4447605 2023-05-15T13:43:07+02:00 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 https://dx.doi.org/10.5281/zenodo.4447605 https://zenodo.org/record/4447605 en eng Zenodo https://dx.doi.org/10.5281/zenodo.4447604 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Variational adjoint method M1QN3 Data assimilation Parameter optimization Software SoftwareSourceCode article 2021 ftdatacite https://doi.org/10.5281/zenodo.4447605 https://doi.org/10.5281/zenodo.4447604 2021-11-05T12:55:41Z WAP-1D-VAR (v1.0) is a variational data assimilation 1-D marine ecosystem model combining the forward model simulation and the backward model 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. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica DataCite Metadata Store (German National Library of Science and Technology) Antarctic Antarctic Peninsula Palmer Station ENVELOPE(-64.050,-64.050,-64.770,-64.770) Palmer-Station ENVELOPE(-64.050,-64.050,-64.770,-64.770)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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 backward model 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 Article in Journal/Newspaper
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://dx.doi.org/10.5281/zenodo.4447605
https://zenodo.org/record/4447605
long_lat ENVELOPE(-64.050,-64.050,-64.770,-64.770)
ENVELOPE(-64.050,-64.050,-64.770,-64.770)
geographic Antarctic
Antarctic Peninsula
Palmer Station
Palmer-Station
geographic_facet Antarctic
Antarctic Peninsula
Palmer Station
Palmer-Station
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
op_relation https://dx.doi.org/10.5281/zenodo.4447604
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4447605
https://doi.org/10.5281/zenodo.4447604
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