Whitaker, J. S. and K. M. Weickmann, 2000: Subseasonal variations of tropical convection and week two
prediction of wintertime western North American rainfall. J. Climate, 15, 3279-3288.
(PDF)
ABSTRACT
Subseasonal variations of tropical convection and week two
prediction of wintertime western North American rainfall
Jeffrey S. Whitaker and Klaus M. Weickmann
NOAA-CIRES Climate Diagnostics Center, Boulder, CO
Abstract
A statistical prediction model for weekly rainfall during winter over western North America is developed which uses tropical outgoing longwave radiation (OLR) anomalies as a predictor. The effects of El Nino-Southern Oscillation (ENSO) are linearly removed from the OLR to isolate the predictive utility of subseasonal variations in tropical convection. A single canonical correlation (CCA) mode accounts for most of the predictable signal. The rank correlation between this mode and observed rainfall anomalies over Southern California is 0.2 for a two week lag, which is comparable to correlation between a weekly ENSO index and weekly rainfall in this region. This corresponds to a doubling of the risk of extreme rainfall in Southern California when the projection of tropical OLR on the leading CCA mode two weeks prior is extremely large, compared to times when it is extremely small. 'Extreme' is defined as being in the upper or lower quintile of the probability distribution.
The leading CCA mode represents suppressed convection in the equatorial Indian Ocean and enhanced convection just south of the equator east of the dateline. OLR regressed on the time series of this mode show an eastward progression of the suppressed region to just south of the Phillipines at the time of maximum California rainfall enhancement. The region of enhanced convection east of the dateline remains quasi-stationary. Associated with this tropical OLR evolution is the development of upper tropospheric westerly wind anomalies near 30oN in the eastern Pacific. Synoptic-scale weather systems are steered farther east toward California by these enhanced westerlies.
Since most operational weather prediction models do not accurately simulate subseasonal variations in tropical convection, statistical prediction models such as the one presented here may prove useful in augmenting numerical predictions. An analysis of four years of operational week two ensemble predictions indicates that the level of skill provided by the statistical model is comparable to that of the operational ensemble mean. Since by week two the operational forecast model has lost its ability to represent convectively coupled circulation associated with the subseasonal tropical convective variability, the statistical model provides essentially independent information for the forecaster.