| contributor author | White, Robert M. | |
| date accessioned | 2017-06-09T14:11:21Z | |
| date available | 2017-06-09T14:11:21Z | |
| date copyright | 1956/02/01 | |
| date issued | 1956 | |
| identifier issn | 0095-9634 | |
| identifier other | ams-14224.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4149762 | |
| description abstract | Multiple regression equations for the 24-hour prediction of the pressure-height distribution are examined for the predictability as a function of the number and type of independent variables entering such equations. Information from the 1000-, 500-, and 200-millibar levels isused to predict the pressure-height distributions at these levels. The increased predictability as a function of the successive addition of information from these levels is examined. | |
| publisher | American Meteorological Society | |
| title | PRESSURE-HEIGHT PREDICTABILITY AS A FUNCTION OF THE TYPE AND AMOUNT OF INITIAL DATA | |
| type | Journal Paper | |
| journal volume | 13 | |
| journal issue | 1 | |
| journal title | Journal of Meteorology | |
| identifier doi | 10.1175/1520-0469(1956)013<0040:PHPAAF>2.0.CO;2 | |
| journal fristpage | 40 | |
| journal lastpage | 45 | |
| tree | Journal of Meteorology:;1956:;volume( 013 ):;issue: 001 | |
| contenttype | Fulltext | |
