| contributor author | Overland, James E. | |
| contributor author | Preisendorfer, R. W. | |
| date accessioned | 2017-06-09T16:03:45Z | |
| date available | 2017-06-09T16:03:45Z | |
| date copyright | 1982/01/01 | |
| date issued | 1982 | |
| identifier issn | 0027-0644 | |
| identifier other | ams-60006.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4200629 | |
| description abstract | A technique is presented for selection of principal components for which the geophysical signal is greater than the level of noise. The level of noise is simulated by repeated sampling of principal components computed from a spatially and temporally uncorrected random process. By contrasting the application of principal components based upon the covariance matrix and correlation matrix for a given data set of cyclone frequencies, it is shown that the former is more suitable to fitting data and locating the individual variables that represent large variance in the record, while the latter is more suitable for resolving spatial oscillations such as the movement of primary storm tracks. | |
| publisher | American Meteorological Society | |
| title | A Significance Test for Principal Components Applied to a Cyclone Climatology | |
| type | Journal Paper | |
| journal volume | 110 | |
| journal issue | 1 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/1520-0493(1982)110<0001:ASTFPC>2.0.CO;2 | |
| journal fristpage | 1 | |
| journal lastpage | 4 | |
| tree | Monthly Weather Review:;1982:;volume( 110 ):;issue: 001 | |
| contenttype | Fulltext | |