| contributor author | Jones, Richard H. | |
| date accessioned | 2017-06-09T16:34:58Z | |
| date available | 2017-06-09T16:34:58Z | |
| date copyright | 1964/02/01 | |
| date issued | 1964 | |
| identifier issn | 0021-8952 | |
| identifier other | ams-7041.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4212190 | |
| description abstract | A method of estimating the spectral density of the nondeterministic component of a meteorological time series which is uncontaminated by the periodic mean variations is presented. This method does not require knowledge of the mean variations. The estimated spectrum is used to calculate the Wiener-Kolmogoroff prediction constants and to estimate the linear predictability of the series. Examples are given using meteorological and artificially generated time series. | |
| publisher | American Meteorological Society | |
| title | Spectral Analysis and Linear Prediction of Meteorological Time Series | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 1 | |
| journal title | Journal of Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(1964)003<0045:SAALPO>2.0.CO;2 | |
| journal fristpage | 45 | |
| journal lastpage | 52 | |
| tree | Journal of Applied Meteorology:;1964:;volume( 003 ):;issue: 001 | |
| contenttype | Fulltext | |
