An integrated modeling platform for land-coast-ocean continuum: The Gulf of America coastal hazards forecast system (GAm-CHFS)

Details

• Journal Title:
  Environmental Modelling & Software
• Personal Author:
  Zhao, Xiaochen ; Xue, Z. George ; Ou, Yanda ; Zang, Zhengchen ; Bao, Daoyang ; Yu, Wei ; Yang, Ethan ; Zhang, Le ; Geonova, Muhamad Farid ; Lei, Ziyan ; Wang, Yixuan
• NOAA Program & Office:
  NOS (National Ocean Service)
• Description:
  HighlightsThe GAm-CHFS consists of 1) a Mississippi River Model (250m), 2) a GAm Ocean Model (1 km), and 3) several compound flooding models (100m).The GAm-CHFS's flexible model coupling, i.e., one-way river-ocean coupling and 2-way hydrological-ocean coupling, is crucial for flooding and water quality forecasts in coastal and ocean regions influenced by the Mississippi RiverDeveloping a rapid and accurate AI model and ensemble forecasting system is prioritized for the GAm coastal hazards forecast.
• Source:
  Environmental Modelling & Software, 204, 107054
• DOI:
  https://doi.org/10.1016/j.envsoft.2026.107054
• ISSN:
  1364-8152
• Format:
  pdf
• Publisher:
  Elsevier BV
• Document Type:
  Journal Article
• Funding:
  Grant no. NA21NOS0120185
• License:
  https://creativecommons.org/licenses/by-nc-nd/4.0/
• Rights Information:
  CC BY-NC-ND
• Compliance:
  Library
• Download URL:
  https://repository.library.noaa.gov/view/noaa/75531/noaa_75531_DS1.pdf
• File Type:
  [PDF - 11.46 MB]
• Collection(s):
  National Ocean Service (NOS)
• Main Document Checksum:
  urn:sha-512:fc840ab453077a21ceda5adf6b83c0a12f796a9f77d6f403da88b2b8c8491619a37b914a90ed1d0d9f9e7ed1b816ea3648571662434dbc3fae237596c16a9a5d