| contributor author | Tattelman, Paul I. | |
| contributor author | Kantor, Arthur J. | |
| date accessioned | 2017-06-09T17:39:12Z | |
| date available | 2017-06-09T17:39:12Z | |
| date copyright | 1977/11/01 | |
| date issued | 1977 | |
| identifier issn | 0021-8952 | |
| identifier other | ams-9342.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4232820 | |
| description abstract | An objective method for determining probabilities of surface temperature extremes is described herein. Least-squares linear regression equations have been developed to estimate temperatures that would be equaled or surpassed 1, 5 and 10% of the hours at any given location during the warmest and coldest months of the year. These equations are based on an index calculated from three generally available parameters: 1) mean monthly temperature (usually July and January), 2) mean daily maximum temperature for the month and 3) mean daily minimum temperature for the month. | |
| publisher | American Meteorological Society | |
| title | A Method for Determining Probabilities of Surface Temperature Extremes | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 11 | |
| journal title | Journal of Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(1977)016<1175:AMFDPO>2.0.CO;2 | |
| journal fristpage | 1175 | |
| journal lastpage | 1181 | |
| tree | Journal of Applied Meteorology:;1977:;volume( 016 ):;issue: 011 | |
| contenttype | Fulltext | |