A further study of the impact of TCI field campaign observations on hurricane intensification through ensemble-based data assimilation
Abstract
Funds are provided to investigate the impacts of the TCI field campaign observations of the outflow layer on tropical cyclone (TC) intensification using the ensemble based data assimilation method. This proposal will also investigate the optimal spacing of the model vertical levels and dropsonde observations in analyzing the 3D TC structure and in predicting the subsequent TC intensity change. Using the unprecedented data sets probing the storm from the surface, inner core to the outflow layer provided by WB57 from the TCI field campaign, and ensemble based data assimilation, the PI will address the following scientific questions:1) What is the impact of the data that samples the outflow layer on the prediction of the TC intensification? What is the relative importance of the upper level vs the lower level observations? What are the relative importance of the mass vs wind measurements, and inner core vs. exterior region sampling?2) What is the best vertical resolution of the TCI data and the vertical resolution of the model to analyze the 3D structure of the TC including the outflow layer, the inner core and the surface inflow and to predict the TC intensity change?3) Through diagnosing the subsequent forecasts initialized from these data denial experiments and resolution sensitivity experiments in 1) and 2), what roles do the processes in upper level vs. low level and processes in inner core vs. exterior regions play in TC intensification?
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 04, 2017
- Source ID
- N000141712111
Entities
People
- Xuguang Wang
Organizations
- Office of Naval Research
- United States Navy
- University of Oklahoma