Accession Number : AD1048549


Title :   Covariance Function for Nearshore Wave Assimilation Systems


Descriptive Note : Technical Report


Corporate Author : NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS STENNIS SPACE CENTER United States


Personal Author(s) : Veeramony,Jay ; Flampouris,Stylianos ; Orzech,Mark ; Ngodock,Hans


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1048549.pdf


Report Date : 30 Jan 2018


Pagination or Media Count : 65


Abstract : Data assimilation is widely used to combine observations with dynamic models to improve model prediction. The relative weighting of the original forecast and the observations, the error covariance matrices, determine how the information is transferred from the observations to the model. It is shown that the optimization of the assimilation systems has to be driven by the data taking into account the physics of the wavefield. Whereas the temporal covariance can be modeled by a parameterized Gaussian function, for nearshore wave assimilation applications, the covariance function depends primarily on the local depth and secondly on the distance from the assimilation location. In spectral space, a skewed exponential function is suggested.


Descriptors :   computational modeling , water waves , Gaussian processes , shallow water , mathematical models , computation fluid dynamics


Subject Categories : Physical and Dynamic Oceanography
      Fluid Mechanics
      Operations Research


Distribution Statement : APPROVED FOR PUBLIC RELEASE