An analysis of numerical weather prediction of the diabatic Rossby Vortex
Mckenzie, Matthew W.
Moore, Richard W.
Montgomery, Michael T.
MetadataShow full item record
This work examines diabatic Rossby vortex (DRV) predictability through the examination of 12 cases of DRV genesis and evolution that undergo explosive deepening. An objective DRV identification script is created and applied to European Center for Medium Range Forecasting (ECMWF) ensemble data. The script is verified via an examination of the observed lifecycle of a DRV associated with recurving tropical cyclone Chaba. An assessment of the control forecast indicated significant uncertainty regarding the predictability of the DRV with no explosive deepening predicted. The evaluation of the 12 control forecasts identified two good forecasts, indicating generally poor performance. The DRV identification script was then applied to the ECMWF ensemble data. The analysis of the perturbed member forecasts exhibited similar characteristics to those of the 12 control forecasts and large uncertainty in the vicinity of the observed DRVs was found. The analysis of ensemble data in the selected cases is shown to provide valuable information. It is possible to quantify the uncertainty and to identify a subset of members that provide a disturbance genesis and evolution that is similar to the observed. Given the large initial condition uncertainty in such cases, it is apparent that a probabilistic approach should be incorporated when examining DRV predictability.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
A FURTHER EXAMINATION OF POTENTIAL OBSERVATION NETWORK DESIGN WITH MESOSCALE ENSEMBLE SENSITIVITIES IN COMPLEX TERRAIN Wile, Sean M. (Monterey, California. Naval Postgraduate School, 2013-03);Recent expansion in availability of stand-alone atmospheric observing sensors introduces the question of where placement maximizes gain in forecast accuracy. This study examined how sensitivity analysis and observation ...
Beattie, Jodi C. (Monterey, California. Naval Postgraduate School, 2003-03);As mesoscale models increase in resolution there is a greater need to understand predictability on smaller scales. The predictability of a model is related to forecast skill. It is possible that the uncertainty of one scale ...
Chilcoat, Kenneth H. (Monterey, California. Naval Postgraduate School, 2012-03);Observation network design requires some framework for sensitivity studies. The goal is to place observations where they will reduce forecast error the most. We use uncertainty estimates from our best forecast models as ...