Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model using WAVEWATCH III version 6.07
-
Published:2021-05-21
Issue:5
Volume:14
Page:2917-2938
-
ISSN:1991-9603
-
Container-title:Geoscientific Model Development
-
language:en
-
Short-container-title:Geosci. Model Dev.
Author:
Brus Steven R.ORCID, Wolfram Phillip J., Van Roekel Luke P.ORCID, Meixner Jessica D.
Abstract
Abstract. Wind-wave processes have generally been excluded from coupled Earth system models due to the high computational expense of spectral wave models, which resolve a frequency and direction spectrum of waves across space and time.
Existing uniform-resolution wave modeling approaches used in Earth system models cannot appropriately represent wave climates from global to coastal ocean scales, largely because of tradeoffs between coastal resolution and computational costs.
To resolve this challenge, we introduce a global unstructured mesh capability for the WAVEWATCH III (WW3) model that is suitable for coupling within the US Department of Energy's Energy Exascale Earth System Model (E3SM).
The new unstructured WW3 global wave modeling approach can provide the accuracy of higher global resolutions in coastal areas at the relative cost of lower uniform global resolutions.
This new capability enables simulation of waves at physically relevant scales as needed for coastal applications.
Publisher
Copernicus GmbH
Reference73 articles.
1. Abdolali, A., Roland, A., Van Der Westhuysen, A., Meixner, J., Chawla, A.,
Hesser, T. J., Smith, J. M., and Sikiric, M. D.: Large-scale hurricane
modeling using domain decomposition parallelization and implicit scheme
implemented in WAVEWATCH III wave model, Coast. Eng., 157, 103656, https://doi.org/10.1016/j.coastaleng.2020.103656,
2020. a, b, c, d 2. Alves, J.-H. G., Chawla, A., Tolman, H. L., Schwab, D., Lang, G., and Mann, G.:
The operational implementation of a Great Lakes wave forecasting system at
NOAA/NCEP, Weather Forecast., 29, 1473–1497, 2014. a 3. Amante, C. and Eakins, B. W.: ETOPO1 arc-minute global relief model:
procedures, data sources and analysis, NOAA Technical Memorandum NESDIS NGDC-24, 2009. a 4. Amores, A. and Marcos, M.: Ocean Swells along the Global Coastlines and Their
Climate Projections for the Twenty-First Century, J. Climate, 33,
185–199, 2020. a 5. Amrutha, M., Kumar, V. S., Sandhya, K., Nair, T. B., and Rathod, J.: Wave
hindcast studies using SWAN nested in WAVEWATCH III-comparison with measured
nearshore buoy data off Karwar, eastern Arabian Sea, Ocean Eng., 119,
114–124, 2016. a
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|