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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ftzenodo:oai:zenodo.org:4447605 2024-09-15T17:44:14+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. 2021-01-18 https://doi.org/10.5281/zenodo.4447605 eng eng Zenodo https://doi.org/10.5281/zenodo.4447604 https://doi.org/10.5281/zenodo.4447605 oai:zenodo.org:4447605 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.444760510.5281/zenodo.4447604 2024-07-26T11:15:14Z 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 |
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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.4447605 |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica |
op_relation |
https://doi.org/10.5281/zenodo.4447604 https://doi.org/10.5281/zenodo.4447605 oai:zenodo.org:4447605 |
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.444760510.5281/zenodo.4447604 |
_version_ |
1810491646658215936 |