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
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| 024 | 7 | 0 | |a 10.1007/s10236-015-0894-y |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10236-015-0894-y | ||
| 100 | 1 | |a Xu |D Zhigang |u Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, Quebec, Canada |4 aut | |
| 245 | 1 | 4 | |a 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 |h [Elektronische Daten] |c [Zhigang Xu] |
| 520 | 3 | |a 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. | |
| 540 | |a The Author(s), 2015 | ||
| 690 | 7 | |a ASGF convolution |2 nationallicence | |
| 690 | 7 | |a SVD |2 nationallicence | |
| 690 | 7 | |a FFT/IFFT |2 nationallicence | |
| 690 | 7 | |a Linear regression |2 nationallicence | |
| 690 | 7 | |a Storm surges |2 nationallicence | |
| 690 | 7 | |a Data assimilation |2 nationallicence | |
| 773 | 0 | |t Ocean Dynamics |d Springer Berlin Heidelberg |g 65/12(2015-12-01), 1761-1778 |x 1616-7341 |q 65:12<1761 |1 2015 |2 65 |o 10236 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10236-015-0894-y |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10236-015-0894-y |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 100 |E 1- |a Xu |D Zhigang |u Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, Quebec, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Ocean Dynamics |d Springer Berlin Heidelberg |g 65/12(2015-12-01), 1761-1778 |x 1616-7341 |q 65:12<1761 |1 2015 |2 65 |o 10236 | ||
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