| contributor author | Paegle, Julia N. | |
| contributor author | Wright, Robert P. | |
| contributor author | De Nevers, Klancy | |
| contributor author | Keir, Marilyn | |
| date accessioned | 2017-06-09T17:39:13Z | |
| date available | 2017-06-09T17:39:13Z | |
| date copyright | 1977/11/01 | |
| date issued | 1977 | |
| identifier issn | 0021-8952 | |
| identifier other | ams-9349.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4232827 | |
| description abstract | A nonparametric technique based on a pattern recognition algorithm is used to forecast the probability of precipitation for 42 stations over the western United States. Mean-square errors or Brier scores between forecasted values and observed precipitation are obtained for an independent data sample. These mean-square errors are compared with those obtained from linear regression equations and climatology for the same data set. The skill of this technique is comparable with that of the linear regression equations and is considerably better than that of climatological forecasts. | |
| publisher | American Meteorological Society | |
| title | Further Statistics of Precipitation Probability Forecasts | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 11 | |
| journal title | Journal of Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(1977)016<1231:FSOPPF>2.0.CO;2 | |
| journal fristpage | 1231 | |
| journal lastpage | 1234 | |
| tree | Journal of Applied Meteorology:;1977:;volume( 016 ):;issue: 011 | |
| contenttype | Fulltext | |
