caa a22 4500 605546630 CHVBK 20210128105200.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10236-015-0894-y doi (NATIONALLICENCE)springer-10.1007/s10236-015-0894-y Xu Zhigang Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, Quebec, Canada aut The all-source Green's function (ASGF) and its applications to storm surge modeling, part II: from the ASGF convolution to forcing data compression and a regression model [Elektronische Daten] [Zhigang Xu] This study first validates the ASGS algorithm developed in part I with an analytical solution in a simplified dynamical system and with a real storm surge event. It then assesses the computational efficiency by the ASGF method compared to the traditional method. By analyzing a realistic case, the ASGF method is shown to be three orders of magnitude more computationally efficient than the traditional method. Using the singular value decomposition (SVD) and the fast Fourier transform and its inverse (FFT/IFFT), this study further demonstrates how to compress atmospheric forcing data and how to cast the ASGF convolution as a simple and efficient regression model for data assimilation. When tested with the real storm surge event, the output from the regression model can account for 98% of the observed variance. The Author(s), 2015 ASGF convolution nationallicence SVD nationallicence FFT/IFFT nationallicence Linear regression nationallicence Storm surges nationallicence Data assimilation nationallicence Ocean Dynamics Springer Berlin Heidelberg 65/12(2015-12-01), 1761-1778 1616-7341 65:12<1761 2015 65 10236 https://doi.org/10.1007/s10236-015-0894-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10236-015-0894-y text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Xu Zhigang Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, Quebec, Canada aut NATIONALLICENCE 773 0- Ocean Dynamics Springer Berlin Heidelberg 65/12(2015-12-01), 1761-1778 1616-7341 65:12<1761 2015 65 10236 SWISSBIB 605546630