Investigation of Surface Drag Parameterization Considering Sea Ice in Storm Surge Modeling of Western Alaska Using ADCIRC
Creator:
Westerink, Joannes, Fujisaki-Manome, Ayumi, Myers, Edward, Pringle, William, Joyce, Brian R., Moghimi, Saeed, Choi, Mindo, Steffen, Kyle R., Wirasaet, Damrongsak, Richter, David H., Vargas, Maria Teresa Contreras, Abdolali, Ali, Grumbine, Robert, Ling, Guoming, Vinogradov, Sergey, Dawson, Clint, and van der Westhuysen, Andre
Date of publication:
March 31, 2020
Abstract Tesim:
The purpose of this study is to set up a tidal, storm surge forecast system for the western Alaska area. In this presentation, we are going to investigate the effectiveness and validity by incorporating a parameterization for the air-sea-ice drag into ADCIRC.
Conference Name:
ADCIRC Users Group Meeting 2020
Type:
http://purl.org/dc/dcmitype/Text
DOI:
https://doi.org/10.17615/2ndx-8982
Keyword:
ADCIRC
Language Label:
English
ORCID:
Other Affiliation:
University of Notre Dame, CIGLR/GLERL, CSDL NOS NOAA, Berkshire Hathaway Specialty Insurance, University of Texas at Austin, and NCEP NWS NOAA
Person:
Westerink, Joannes, Fujisaki-Manome, Ayumi, Myers, Edward, Pringle, William, Joyce, Brian R., Moghimi, Saeed, Choi, Mindo, Steffen, Kyle R., Wirasaet, Damrongsak, Richter, David H., Vargas, Maria Teresa Contreras, Abdolali, Ali, Grumbine, Robert, Ling, Guoming, Vinogradov, Sergey, Dawson, Clint, and van der Westhuysen, Andre
Improving predictions of coastal flooding via sub-mesh corrections
Creator:
Kennedy, A., Bolster, D., Woodruff, Johnathan, Silver, Z., Dietrich, J.C., Wirasaet, D., and Kolar, R.
Date of publication:
March 31, 2020
Abstract Tesim:
ADCIRC (ADvanced CIRCulation) is a hydrodynamic model used to predict coastal water levels. During storm events, such as hurricanes, ADCIRC forecasts flood levels along the coast, which can be used to advise emergency managers and the general public and prepare them for the storm. Although ADCIRC can be highly accurate, its accuracy depends on its “mesh”, which represents the coastal environment with bathymetric elevations and bottom frictions. Meshes of high resolution and accuracy can predict water levels very precisely; however, this precision comes at a high computational cost, which delays the ability to forecast the storm and advise interested parties. This study aims to incorporate high resolution data on a lesser resolved mesh by incorporating correction factors into the governing equations. These correction factors will maintain model accuracy while also decreasing run time. This concept was applied to both 1D and 2D versions of ADCIRC, and produced stable results that mimicked the traditional version of ADCIRC.ADCIRC (ADvanced CIRCulation) is a hydrodynamic model used to predict coastal water levels. During storm events, such as hurricanes, ADCIRC forecasts flood levels along the coast, which can be used to advise emergency managers and the general public and prepare them for the storm. Although ADCIRC can be highly accurate, its accuracy depends on its “mesh”, which represents the coastal environment with bathymetric elevations and bottom frictions. Meshes of high resolution and accuracy can predict water levels very precisely; however, this precision comes at a high computational cost, which delays the ability to forecast the storm and advise interested parties. This study aims to incorporate high resolution data on a lesser resolved mesh by incorporating correction factors into the governing equations. These correction factors will maintain model accuracy while also decreasing run time. This concept was applied to both 1D and 2D versions of ADCIRC, and produced stable results that mimicked the traditional version of ADCIRC.
Conference Name:
ADCIRC Users Group Meeting 2020
Type:
http://purl.org/dc/dcmitype/Text
DOI:
https://doi.org/10.17615/610x-ak27
Keyword:
wetdry, submesh, ADCIRC, and correctionfactors
Language Label:
English
ORCID:
Other Affiliation:
University of Notre Dame, NC State University , NC State University, and University of Oklahoma
Person:
Kennedy, A., Bolster, D., Woodruff, Johnathan, Silver, Z., Dietrich, J.C., Wirasaet, D., and Kolar, R.
pyADCIRC: A Python interface for accessing functions and variables of ADCIRC in Python
Creator:
Choudhary, Gajanan K. and Dawson, Clint
Date of publication:
March 31, 2020
Abstract Tesim:
Python has a vast collection of modern open-source libraries such as PyTorch and TensorFlow for machine learning and Matplotlib for visualization. On the other hand, Fortran has a significant advantage of speed over Python and a large number of legacy software written in it, including ADCIRC. This talk focuses on one method of modernizing ADCIRC to enable certain new applications with it. Some ways to modernize ADCIRC include (a) re-implementing ADCIRC in, say, Python, (b) re-implementing modern libraries such as PyTorch in Fortran for use with ADCIRC, and (c) combining Fortran and Python using libraries such as f2py or f90wrap. The first two approaches are costly and fraught with challenges, whereas the third approach, which is the focus of this talk, is more balanced. The ADCIRC source code is compiled into a shared library using f2py and imported into Python, allowing one to access most ADCIRC variables and functions in Python. The Python interface, pyADCIRC, is non-intrusive in that it does not require modification of any existing Fortran files; instead, new files are added to the source code. pyADCIRC acts as a parallel computational library that may be used and manipulated for any purpose in Python, such as machine learning and multi-software coupling. An application of pyADCIRC is presented, in which ADCIRC and GSSHA models are two-way weakly coupled through their Python interfaces for simulating compound flooding, without requiring any file I/O for data exchange.
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NWS 13: NetCDF Replacement for NWS12 Met Inputs and Application
Creator:
Crosby, Alex
Date of publication:
March 31, 2020
Abstract Tesim:
Motivation for NWS=12 replacement
A major source of error in ADCIRC can come from the accuracy and representation of the wind and pressure fields.
Additional Motivation
• Replicate NWS12 features and more
• Single-file, wind/pressure/all-grids
• Multiple grid overlays
• Moving storm-centered grids
• Grids that can change size
• Curvilinear grids
• Arbitrary # of grid overlays
• New ADCIRC NWS interp code
• Arbitrary & irregular timesteps
Incorporating the Morphodynamics in ADCIRC Using Time-Varying Bathymetry
Creator:
Fulle, T.R., Dietrich, J.C., Anderson, D., and Gharagozlou, A.
Date of publication:
March 31, 2020
Abstract Tesim:
Goals:
1. Better understand the storm-induced erosion of barrier islands
2. Develop ways to represent that erosion in predictive models on large domains
Objectives:
1. Explore the Time-Varying Bathymetry module in ADCIRC
2. Develop a high-resolution hindcast of inlet creation in a barrier island system
3. Implement a two-way coupling of small-scale erosion to larger-scale
flooding models
Conference Name:
ADCIRC Users Group Meeting 2020
Type:
http://purl.org/dc/dcmitype/Text
DOI:
https://doi.org/10.17615/gn51-ep66
Keyword:
ADCIRC
Language Label:
English
ORCID:
Other Affiliation:
NC State University, Dept of Civil, Construction and Environmental Engineering
Person:
Fulle, T.R., Dietrich, J.C., Anderson, D., and Gharagozlou, A.
ADCIRC v55 Modeling the Earth, Mesh Resolution Effects and Removing Time Step Contraints
Creator:
Roberts, Keith, Pringle, William, Wiraset, Dam, and Westerink, Joannes
Date of publication:
March 31, 2020
Abstract Tesim:
ADCIRC is considered to be a coastal model. The aims of the new v55 of ADCIRC are to extend it to a global model and improve stability and mass-conservation issues associated with GWCE formulation.
Conference Name:
ADCIRC Users Group Meeting 2020
Type:
http://purl.org/dc/dcmitype/Text
DOI:
https://doi.org/10.17615/39bf-wa56
Keyword:
ADCIRC
Language Label:
English
ORCID:
Other Affiliation:
University of Notre Dame
Person:
Roberts, Keith, Pringle, William, Wiraset, Dam, and Westerink, Joannes
Using a Multi-Resolution Approach to Improve the Accuracy and Efficiency of Flooding Predictions
Creator:
Loveland, M., Thomas, Ajimon, Dawson, C.N., and Dietrich, J.C.
Date of publication:
March 30, 2020
Abstract Tesim:
Main Objectives
• Reduce the computational load by using a coarser resolution mesh when the storm track is uncertain
• Increase the accuracy of predictions by using a higher resolution mesh as the storm approaches landfall
• Increase the simulation possibilities including ensemble generation during operational forecasting
Affiliation Label Tesim:
Coastal Resilience Center of Excellence
Conference Name:
ADCIRC Users Group Meeting 2020
Type:
http://purl.org/dc/dcmitype/Text
DOI:
https://doi.org/10.17615/q7r4-n391
Keyword:
ADCIRC
Language Label:
English
ORCID:
Other Affiliation:
Institute of Computational Engineering and Sciences, UT Austin, NC State University, Dept of Civil, Construction and Environmental Engineering, and NC State University Civil, Construction and Environmental Engineering
Person:
Loveland, M., Thomas, Ajimon, Dawson, C.N., and Dietrich, J.C.
