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Sensitivity Analysis of SST along NJ coast with ADROMS Weifeng (Gordon) Zhang John Wilkin Julia Levin Hernan Arango Institute of Marine and Coastal Sciences, Rutgers University Oct. 2005
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Background Plenty of measurement in New Jersey shore area; Ocean forecast and hind-cast with forward ROMS has been running; To use data assimilation in these area to improve the forecast and measurement; Adjoint sensitivity analysis with ADROMS is applied first to test the model based on our understanding of the physics in this area. Adjoint sensitivity analysis: What causes the event?
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Forward Model – Background for Adjoint model Three idealized cases (steady low river discharge, no tide, no surface exchange): No wind Southwestward wind Northeastward wind
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Adjoint sensitivity set-up For upwelling event: Background state: 5 days bi-hourly forward model output. Event time: Adjoint forcing: Adjoint variable: FORWARD_MIXING: Adjoint model reads mixing coefficients from forward output
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No wind case
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Nowind case (cont’d) Adjoint variableMagnitude of adjoint variable Standard deviation of variable ad_SST(0, 0.02)50.1 ad_SSS(-0.002, 0.002)50.01 ad_u/ad_v(-0.05, 0.05)0.50.025 ad_Akv(-100, 100)10 -4 10 -2 ad_Akt(0, 60)10 -5 10 -4 ad_Aks(-3, 3)10 -5
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Southward wind case
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Southward wind case (cont’d) Adjoint variableMagnitude of adjoint variable Standard deviation of variable ad_SST(0, 0.02)50.1 ad_SSS(-0.005, 0.005)50.025 ad_sustr/ad_svstr (-100, 100)0.0020.2 ad_u/ad_v(-0.05, 0.05)0.50.025 ad_Akv(-150, 150)10 -4 0.015 ad_Akt(0, 15)10 -5 10 -4 ad_Aks(-10, 5)10 -5 10 -4
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Northward wind case
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Northward wind case (cont’d)
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Summary ADROMS gives physically reasonable results for sensitivity analysis on idealized application in NJ shore area Users need to think about the definition of the measure of certain event, J The validity of linearization to the nonlinear model has to be considered carefully and proved first ______________________________________________________ Great appreciation goes to John Wilkin, Hernan Arango, Julia Levin, Andrew Moore and B-J Choi!
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