Cross-scale prediction for the Laurentian Great Lakes

被引:0
|
作者
Zhang, Y. Joseph [1 ]
Anderson, Joshua [2 ]
Wu, Chin H. [2 ]
Beletsky, Dmitry [3 ]
Liu, Yuli [4 ]
Huang, Wei [5 ]
Anderson, Eric J. [6 ]
Moghimi, Saeed [7 ]
Myers, Edward [7 ]
机构
[1] William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
[2] Univ Wisconsin Madison, Madison, WI USA
[3] Univ Michigan, CIGLR, Ann Arbor, MI USA
[4] Nanjing Univ Informat, Nanjing, Peoples R China
[5] Florida Int Univ, Miami, FL USA
[6] Colorado Sch Mines, Civil & Environm Engn, Golden, CO USA
[7] NOAA, Coast Survey Dev Lab, Silver Spring, MD 20910 USA
关键词
Compound flooding; Great Lakes; Cross-scale modeling; SCHISM; THERMAL STRUCTURE; SUMMER CIRCULATION; NUMERICAL-MODELS; VERIFICATION; ONTARIO; SYSTEM; BAY; 3D;
D O I
10.1016/j.ocemod.2025.102512
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this paper, for the first time, all five Great Lakes are simulated using a 3D baroclinic model using a single, seamless unstructured mesh without nesting, including adjacent flood plains and watershed inflows to better connect the hydrodynamic model to the hydrologic model. The hydraulic controls at Sault St Marie and Niagara Falls are simulated using an internal flow boundary approach with the observed flow. The model is shown to exhibit good skills for total water level (TWL) and temperature, with RMSE of 9.5 cm for TWL and similar to 1.6 degrees C for surface temperature and temperature profiles from a 60-day simulation. Sensitivity results reveal the importance of hydrologic forcing even for this short-term simulation. Results from a 210-day simulation indicate that the model is capable of capturing major lake-wide circulation patterns discussed in previous studies and providing further details in those patterns. The new model can potentially serve as a base to unify Great Lakes modeling while simultaneously providing flexibility for site specific studies in any areas of interest.
引用
收藏
页数:19
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