Targeted Observations, Data Assimilation, and Tropical Cyclone Predictability
Accurate tropical cyclone track forecasts are of foremost importance to the increasing population in coastal areas worldwide, necessitating advances in all facets of the numerical prediction process. These include the observational network, the data assimilation schemes that blend these observations with the numerical first guess field, the vortex initialization schemes and the dynamics, physics, and resolution of the models themselves, and methods to target observations to optimize the reduction in forecast error. During the past 30 years, the forecast skill for tropical cyclone track has increased steadily because of improvements in all of these areas. In particular, advances have been made in targeted observations and data assimilation over the past decade. This Monthly Weather Review special collection gathers together a series of timely papers on these topics, many of which have resulted from multinational collaborations. Click here to view the collection preface and a list of articles in this special collection. The articles will be presented below as they are published.
Sharanya J. Majumdar
Sim D. Aberson