دورية أكاديمية
Data-assimilation-based parameter estimation of bathymetry and bottom friction coefficient to improve coastal accuracy in a global tide model
العنوان: | Data-assimilation-based parameter estimation of bathymetry and bottom friction coefficient to improve coastal accuracy in a global tide model |
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المؤلفون: | X. Wang, M. Verlaan, J. Veenstra, H. X. Lin |
المصدر: | Ocean Science, Vol 18, Pp 881-904 (2022) |
بيانات النشر: | Copernicus Publications, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Geography. Anthropology. Recreation LCC:Environmental sciences |
مصطلحات موضوعية: | Geography. Anthropology. Recreation, Environmental sciences, GE1-350 |
الوصف: | Global tide and surge models play a major role in forecasting coastal flooding due to extreme events or climate change. The model performance is strongly affected by parameters such as bathymetry and bottom friction. In this study, we propose a method that estimates bathymetry globally and the bottom friction coefficient in shallow waters for a global tide and surge model (GTSMv4.1). However, the estimation effect is limited by the scarcity of available tide gauges. We propose complementing sparse tide gauges with tide time series generated using FES2014. The FES2014 dataset outperforms the GTSM in most areas and is used as observations for the deep ocean and some coastal areas, such as Hudson Bay and Labrador, where tide gauges are scarce but energy dissipation is large. The experiment is performed with a computation- and memory-efficient iterative parameter estimation scheme (time–POD-based coarse incremental parameter estimation; POD: proper orthogonal decomposition) applied to the Global Tide and Surge Model (GTSMv4.1). Estimation results show that model performance is significantly improved for the deep ocean and shallow waters, especially in the European shelf, directly using the CMEMS tide gauge data in the estimation. The GTSM is also validated by comparing to tide gauges from UHSLC, CMEMS, and some Arctic stations in the year 2014. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1812-0784 1812-0792 |
Relation: | https://os.copernicus.org/articles/18/881/2022/os-18-881-2022.pdf; https://doaj.org/toc/1812-0784; https://doaj.org/toc/1812-0792 |
DOI: | 10.5194/os-18-881-2022 |
URL الوصول: | https://doaj.org/article/d299473030bc4133892be2ca5a818b58 |
رقم الأكسشن: | edsdoj.299473030bc4133892be2ca5a818b58 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 18120784 18120792 |
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DOI: | 10.5194/os-18-881-2022 |