| contributor author | Yazgi, Daniel | |
| contributor author | Mohebalhojeh, Ali R. | |
| contributor author | Ghader, Sarmad | |
| date accessioned | 2017-06-09T17:34:38Z | |
| date available | 2017-06-09T17:34:38Z | |
| date copyright | 2017/05/01 | |
| date issued | 2017 | |
| identifier issn | 0027-0644 | |
| identifier other | ams-87442.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4231112 | |
| description abstract | general framework is presented based on the least squares polynomial regression to design time filters for the leapfrog time-stepping scheme with required amplitude and phase properties. The well-known Robert?Asselin filter and its modification, the Robert?Asselin?Williams filter, are obtained using the zeroth-degree and first-degree polynomial regression, respectively. It is shown that using the second-degree polynomial regression, one can achieve seventh-order amplitude accuracy with only four time levels. In addition, the designed filter exhibits promising results when used with a semi-implicit time-stepping scheme. | |
| publisher | American Meteorological Society | |
| title | Using Polynomial Regression in Designing the Time Filters for the Leapfrog Time-Stepping Scheme | |
| type | Journal Paper | |
| journal volume | 145 | |
| journal issue | 5 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/MWR-D-16-0380.1 | |
| journal fristpage | 1779 | |
| journal lastpage | 1795 | |
| tree | Monthly Weather Review:;2017:;volume( 145 ):;issue: 005 | |
| contenttype | Fulltext | |