| contributor author | Briggs, William M. | |
| contributor author | Wilks, Daniel S. | |
| date accessioned | 2017-06-09T15:29:44Z | |
| date available | 2017-06-09T15:29:44Z | |
| date copyright | 1996/04/01 | |
| date issued | 1996 | |
| identifier issn | 0894-8755 | |
| identifier other | ams-4528.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4184267 | |
| description abstract | A method for transforming underlying climatological distributions for monthly and seasonal mean temperature and monthly and seasonal total precipitation, in a manner consistent with long-range forecasts by the U.S. Climate Prediction Center, is developed. These transformations are summarized as simple equations into which a user may substitute a forecast probability value and calculate the parameters of a conditional probability distribution. These distributions can then be used to evaluate probabilities associated with user-defined temperature and precipitation outcomes. Examples are given to show the case of use and interpretability. | |
| publisher | American Meteorological Society | |
| title | Estimating Monthly and Seasonal Distributions of Temperature and Precipitation Using the New CPC Long-Range Forecasts | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 4 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/1520-0442(1996)009<0818:EMASDO>2.0.CO;2 | |
| journal fristpage | 818 | |
| journal lastpage | 826 | |
| tree | Journal of Climate:;1996:;volume( 009 ):;issue: 004 | |
| contenttype | Fulltext | |