A statistical-dynamical approach to intraseasonal prediction of tropical cyclogenesis in the western North Pacific

Download
Author
Mundhenk, Bryan D.
Date
2009-03Advisor
Murphree, Tom
Meyer, David W.
Metadata
Show full item recordAbstract
We have developed a combined statistical-dynamical prediction scheme to predict the probability of tropical cyclone (TC) formation at daily, 2.5° horizontal resolution across the western North Pacific at intraseasonal lead times. Through examination of previous research and our own analysis, we chose five variables to represent the favorability of the climate system to support tropical cyclogenesis. These so-called large-scale environmental factors (LSEFs) include: low-level relative vorticity, sea surface temperature, vertical wind shear, Coriolis, and upper-level divergence. Logistic regression was employed to generate a statistical model representing the probability of TC formation at every grid point based on these LSEFs. Thorough verification of zero-lead hindcasts reveals this model displays skill and potential value for risk adverse customers. In particular, these hindcasts had a positive Brier skill score of 0.03 and a skillful relative operating characteristic skill score of 0.68. The fully coupled, one-tier NCEP Climate Forecast System was used as the dynamical model with which to forecast the LSEFs and, in turn, force the regression model. A series of individual TC case studies were conducted to demonstrate the predictive potential, at intraseasonal leads, of our statistical-dynamical method. Lastly, we investigated the applicability of intraseasonal forecasts to military planning.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Statistical-dynamical forecasting of tropical cyclogenesis in the North Atlantic at intraseasonal lead times
Raynak, Chad S. (Monterey, California. Naval Postgraduate School, 2009-06);We have created a combined statistical-dynamical model to predict the probability of tropical cyclone (TC) formation at daily, 2.5Â°Ì horizontal resolution in the North Atlantic (NA) at intraseasonal lead times. Based on ... -
MODELING THE IMPACTS OF CLIMATE CHANGE ON TROPICAL CYCLONE FORMATIONS IN THE WESTERN NORTH PACIFIC
Carter, Robert B. (Monterey, CA; Naval Postgraduate School, 2019-06);A dynamical-statistical modeling approach was used to investigate climate change impacts on tropical cyclone (TC) formations in the western North Pacific (WNP). Reanalysis data and climate model projections were analyzed ... -
A Statistical Multimodel Ensemble Approach to Improving Long-Range Forecasting in Pakistan
Gillies, Shane D. (Monterey, California. Naval Postgraduate School, 2012-03);We have designed, developed, and tested a method for generating long-range forecasting systems for predicting environmental conditions at intraseasonal to seasonal lead times (lead times of several weeks to several seasons). ...