Research, Research-to-Operation and Operational Activities at the NOAA National Ocean Service Storm Surge Modeling Team

National Ocean Service’s (NOS) Office of Coast Survey (OCS) develops NOS’ storm surge modeling infrastructure to continually advance the current Operational coastal flooding and inundation Forecasting Systems (OFS). The goal is to provide high quality guidance to the end users and stakeholders in public and private sectors. NOS/OCS’ storm surge modeling team engages in research, development and operational support of NOS’ storm surge modeling portfolio. In this talk, we will inform the community regarding recent advances and plans in the following areas:

• Recent upgrades for the Surge and Tide Operational Forecast System (STOFS)
• Global component (STOFS-2D-Global)
• Atlantic component (STOFS-3D-Atlantic)
• Plans for Pacific component (STOFS-3D-Pacific)
• Developing UFS-Coastal (https://github.com/oceanmodeling/ufs-coastal/tree/feature/coastal_app) as the coastal component of the NOAA Unified Forecast System (UFS)
• Support National Hurricane Center in development of the Next Generation Probabilistic Storm Surge Model (Next Generation P-Surge) [Pringle et al., 2023]
• Data driven on-demand unstructured mesh generation for coastal circulation models (https://github.com/noaa-ocs-modeling/OCSMesh)
• OceanModeling Github organization (https://github.com/oceanmodeling) and community-driven open-source code development

References:

308. Moghimi; A. Van der Westhuysen; A. Abdolali; E. Myers; S. Vinogradov; Z. Ma; F. Liu; A. Mehra; N. Kurkowski. Development of an ESMF Based Flexible Coupling Application of ADCIRC and WAVEWATCH III for High Fidelity Coastal Inundation Studies. J. Mar. Sci. Eng. 2020, 8, 308. https://doi.org/10.3390/jmse8050308.
309. Moghimi, S. Vinogradov, E. Myers, Y. Funakoshi, A.J. Van der Westhuysen, A. Abdolali, Z. Ma, F. Liu. Development of a Flexible Coupling Interface for ADCIRC Model for Coastal Inundation Studies. NOAA technical memorandum, NOS CS 41, 2019, https://doi.org/10.25923/akzc-kc14.

Huang, W., Ye, F., Zhang, Y., Park, K., Du, J., Moghimi, S., Myers, E., Pe'eri, S., Calzada, J.R., Yu, H.C., Nunez, K., and Liu, Z. (2021) Compounding factors for extreme flooding around Galveston Bay during Hurricane Harvey, Ocean Modelling, 158, 101735. https://doi.org/10.1016/j.ocemod.2020.101735

Ye, F., Zhang, Y., Yu, H., Sun, W., Moghimi, S., Myers, E.P., Nunez, K., Zhang, R., Wang, H.V., Roland, A., Martins, K., Bertin, X., Du, J., and Liu, Z. (2020) Simulating storm surge and compound flooding events with a creek-to-ocean model: importance of baroclinic effects, Ocean Modelling, 145. https://doi.org/10.1016/j.ocemod.2019.101526

Ye, F. and Huang, W. and Zhang, Y. J. and Moghimi, S. and Myers, E. and Pe'eri, S. and Yu, H.-C. (2021) A cross-scale study for compound flooding processes during Hurricane Florence, 21, 1703-1719, Natural Hazards and Earth System Sciences, https://nhess.copernicus.org/articles/21/1703/2021

Zhang, Y., Ye, F., Yu, H., Sun, W., Moghimi, S., Myers, E.P., Nunez, K., Zhang, R., Wang, H.V., Roland, A., Du, J., and Liu, Z. (2020) Simulating compound flooding events in a hurricane, Ocean Dynamics, https://doi.org/10.1007/s10236-020-01351-x.

Coleman P Blakely, Guoming Ling, William J Pringle, María Teresa Contreras, Damrongsak Wirasaet, Joannes J Westerink, Saeed Moghimi, Greg Seroka, Lei Shi, Edward Myers, Margaret Owensby, Chris Massey, Dissipation and Bathymetric Sensitivities in an Unstructured Mesh Global Tidal Model, 2022, Journal of Geophysical Research: Oceans, e2021JC018178, https://doi.org/10.1029/2021JC018178

Mani, S., Calzada, J. R., Moghimi, S., Zhang, Y. J., Myers, E., & Pe’eri, S. (2021). OCSMesh: a data-driven automated unstructured mesh generation software for coastal ocean modeling. Tech. rep., Coast Survey Development Laboratory (U.S.). https://doi.org/10.25923/csba-m072

Pringle, W. J., Burnett, Z., Sargsyan, K., Moghimi, S., & Myers, E. (2023). Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone-driven Storm Tides and Inundation. Artificial Intelligence for the Earth Systems, 2(2), e220040. https://doi.org/10.1175/AIES-D-22-0040.1

Fei Ye, Linlin Cui, Yinglong Zhang, Zhengui Wang, Saeed Moghimi, Edward Myers, Greg Seroka, Alan Zundel, Soroosh Mani, John G.W. Kelley, A parallel Python-based tool for meshing watershed rivers at continental scale, Environmental Modelling & Software, Volume 166, 2023, 105731, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2023.105731.

Contreras, Maria Teresa et al. (2023). A Channel-to-Basin Scale ADCIRC Based Hydrodynamic Unstructured Mesh Model for the US East and Gulf of Mexico Coasts. https://doi.org/10.25923/wktm-c719