| contributor author | Gray, William M. | |
| contributor author | Landsea, Christopher W. | |
| contributor author | Mielke, Paul W. | |
| contributor author | Berry, Kenneth J. | |
| date accessioned | 2017-06-09T14:47:23Z | |
| date available | 2017-06-09T14:47:23Z | |
| date copyright | 1993/03/01 | |
| date issued | 1993 | |
| identifier issn | 0882-8156 | |
| identifier other | ams-2682.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4163756 | |
| description abstract | More than 90% of all seasonal Atlantic tropical cyclone activity typically occurs after 1 August. A strong predictive potential exists that allows seasonal forecasts of Atlantic basin tropical cyclone activity to be issued by 1 August, prior to the start of the active portion of the hurricane season. Predictors include June-July meteorological information of the stratospheric quasi-biennial oscillation (QBO), West African rainfall, the El Niño-Southern Oscillation (ENSO) as well as sea level pressure anomalies (SLPA), and the upper-tropospheric zonal-wind anomalies (ZWA) in the Caribbean basin. Use of a combination of these global and regional predictors provides a basis for making cross-validated (jackknifed) 1 August hindcasts of subsequent Atlantic seasonal tropical cyclone activity that show substantial skill over climatology. This relationship is demonstrated in 41 years of hindcasts of the 1950-90 seasons. It is possible to independently explain more than 60% of the year-to-year variability associated with intense (category 3?4?5) hurricane activity. This is significant because over 70% of all United States tropical cyclone damage comes from intense hurricanes, and over 98% of intense hurricane activity occurs after 1 August. Empirical evidence suggests that least sum of absolute deviations (LAD) regression yields substantially more improved cross-validated results than an analogous procedure based on ordinary least sum of squared deviations (OLS) regression. This improvement surprisingly occurs even with the squared Pearson product-moment correlation coefficient for which one might anticipate OLS regression to yield better cross-validated results than LAD regression. | |
| publisher | American Meteorological Society | |
| title | Predicting Atlantic Basin Seasonal Tropical Cyclone Activity by 1 August | |
| type | Journal Paper | |
| journal volume | 8 | |
| journal issue | 1 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/1520-0434(1993)008<0073:PABSTC>2.0.CO;2 | |
| journal fristpage | 73 | |
| journal lastpage | 86 | |
| tree | Weather and Forecasting:;1993:;volume( 008 ):;issue: 001 | |
| contenttype | Fulltext | |