| contributor author | Guzmán, Adela García | |
| contributor author | Torrez, William C. | |
| date accessioned | 2017-06-09T14:00:46Z | |
| date available | 2017-06-09T14:00:46Z | |
| date copyright | 1985/10/01 | |
| date issued | 1985 | |
| identifier issn | 0733-3021 | |
| identifier other | ams-10899.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4146066 | |
| description abstract | A generalization of the chain-dependent process is proposed to describe daily rainfall. The model allows probabilities of rain occurrence to depend on the amount of rain in the day before. The influence of the antecedent amount of rain on the next day occurrence is called ?feedback.? A method for identification of feedback effects in a series of observations is derived and application made to rainfall occurrence at Los Angeles. Performance of the model in reproducing other precipitation patterns, such as maximum daily rainfall or total amount of rainfall in successive n-day periods, was checked by the Monte Carlo method. | |
| publisher | American Meteorological Society | |
| title | Daily Rainfall Probabilities: Conditional upon Prior Occurrence and Amount of Rain | |
| type | Journal Paper | |
| journal volume | 24 | |
| journal issue | 10 | |
| journal title | Journal of Climate and Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(1985)024<1009:DRPCUP>2.0.CO;2 | |
| journal fristpage | 1009 | |
| journal lastpage | 1014 | |
| tree | Journal of Climate and Applied Meteorology:;1985:;Volume( 024 ):;Issue: 010 | |
| contenttype | Fulltext | |