Open-ocean boundary conditions from interior data: Local and remote forcing of Massachusetts Bay

被引:35
作者
Bogden, PS
MalanotteRizzoli, P
Signell, R
机构
[1] MIT, DEPT EARTH ATMOSPHER & PLANETARY SCI, CAMBRIDGE, MA USA
[2] US GEOL SURVEY, WOODS HOLE, MA 02543 USA
关键词
D O I
10.1029/95JC03705
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Massachusetts and Cape Cod Bays form a semienclosed coastal basin that opens onto the much larger Gulf of Maine, Subtidal circulation in the bay is driven by local winds and remotely driven flows from the gulf. The local-wind forced flow is estimated with a regional shallow water model driven by wind measurements, The model uses a gravity wave radiation condition along the open-ocean boundary. Results compare reasonably well with observed currents near the coast. In some offshore regions however, modeled flows are an order of magnitude less energetic than the data. Strong flows are observed even during periods of weak local wind forcing. Poor model-data comparisons are attributable, at least in part, to open-ocean boundary conditions that neglect the effects of remote forcing. Velocity measurements from within Massachusetts Bay are used to estimate the remotely forced component of the flow, The data are combined with shallow water dynamics in an inverse-model formulation that follows the theory of Bennett and McIntosh [1982], who considered tides. We extend their analysis to consider the subtidal response to transient forcing. The inverse model adjusts the a priori open-ocean boundary condition, thereby minimizing a combined measure of model-data misfit and boundary condition adjustment. A ''consistency criterion'' determines the optimal trade-off between the two. The criterion is based on a measure of plausibility for the inverse solution. The ''consistent'' inverse solution reproduces 56% of the average squared variation in the data, The local-wind-driven flow alone accounts for half of the model skill. The other half is attributable to remotely forced flows from the Gulf of Maine. The unexplained 44% comes from measurement errors and model errors that are not accounted for in the analysis.
引用
收藏
页码:6487 / 6500
页数:14
相关论文
共 16 条
[1]  
BENNETT AF, 1982, J PHYS OCEANOGR, V12, P1004, DOI 10.1175/1520-0485(1982)012<1004:OOMAAI>2.0.CO
[2]  
2
[3]  
BENNETT AF, 1976, J ATMOS SCI, V33, P176, DOI 10.1175/1520-0469(1976)033<0176:OBCFDW>2.0.CO
[4]  
2
[5]  
BENNETT AF, 1994, MON WEATHER REV, V122, P1326, DOI 10.1175/1520-0493(1994)122<1326:OOMAAI>2.0.CO
[6]  
2
[7]  
Bennett AF, 1992, INVERSE METHODS PHYS
[8]  
Blumberg A., 1993, J ENVIRON ENG, V1, P31
[9]  
Blumberg A.F., 1987, 3 DIMENSIONAL COASTA, P1, DOI [10.1029/CO004p0001, 10.1029/co004p0001]
[10]  
GEYER WR, 1992, MBP9203 US EPA MASS