Advanced Sea Ice Modeling for Short-Term Forecasting for Alaska’s Coasts

Author:

Fujisaki-Manome Ayumi12ORCID,Hu Haoguo1,Wang Jia3,Westerink Joannes J.4,Wirasaet Damrongsak4,Ling Guoming5ORCID,Choi Mindo6,Moghimi Saeed7,Myers Edward7,Abdolali Ali89ORCID,Dawson Clint10,Janzen Carol11

Affiliation:

1. a Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, Michigan

2. b Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, Michigan

3. c National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan

4. d Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, South Bend, Indiana

5. e International Research Institute of Disaster Science, Tohoku University, Sendai, Japan

6. f National Centers for Environmental Prediction, Environmental Modeling Center, College Park, Maryland

7. g National Oceanic and Atmospheric Administration, National Ocean Service, Office of Coast Survey, Silver Spring, Maryland

8. h U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, Mississippi

9. i Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland

10. j Oden Institute, The University of Texas at Austin, Austin, Texas

11. k Alaska Ocean Observing System, Anchorage, Alaska

Abstract

Abstract In Alaska’s coastal environment, accurate information of sea ice conditions is desired by operational forecasters, emergency managers, and responders. Complicated interactions among atmosphere, waves, ocean circulation, and sea ice collectively impact the ice conditions, intensity of storm surges, and flooding, making accurate predictions challenging. A collaborative work to build the Alaska Coastal Ocean Forecast System established an integrated storm surge, wave, and sea ice model system for the coasts of Alaska, where the verified model components are linked using the Earth System Modeling Framework and the National Unified Operational Prediction Capability. We present the verification of the sea ice model component based on the Los Alamos Sea Ice Model, version 6. The regional, high-resolution (3 km) configuration of the model was forced by operational atmospheric and ocean model outputs. Extensive numerical experiments were conducted from December 2018 to August 2020 to verify the model’s capability to represent detailed nearshore and offshore sea ice behavior, including landfast ice, ice thickness, and evolution of air–ice drag coefficient. Comparisons of the hindcast simulations with the observations of ice extent presented the model’s comparable performance with the Global Ocean Forecast System 3.1 (GOFS3.1). The model’s skill in reproducing landfast ice area significantly outperformed GOFS3.1. Comparison of the modeled sea ice freeboard with the Ice, Cloud, and Land Elevation Satellite-2 product showed a mean bias of −4.6 cm. Daily 5-day forecast simulations for October 2020–August 2021 presented the model’s promising performance for future implementation in the coupled model system. Significance Statement Accurate sea ice information along Alaska’s coasts is desired by the communities for preparedness of hazardous events, such as storm surges and flooding. However, such information, in particular predicted conditions, remains to be a gap. This study presents the verification of the state-of-art sea ice model for Alaska’s coasts for future use in the more comprehensive coupled model system where ocean circulation, wave, and sea ice models are integrated. The model demonstrates comparable performance with the existing operational ocean–ice coupled model product in reproducing overall sea ice extent and significantly outperformed it in reproducing landfast ice cover. Comparison with the novel satellite product presented the model’s ability to capture sea ice freeboard in the stable ice season.

Funder

NOAA Research

National Ocean Service

Publisher

American Meteorological Society

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