Ensemble Data Assimilation and Predictability of Tropical Cyclones
Abstract
The primarily objectives of the proposed work are as follows: (1) Further develop the COAMPS-EnKF data assimilation system for tropical cyclone initialization capable of effectively assimilating airborne Doppler radar and satellite observations as well as data from conventional surface and sounding networks. (2) Implement a pseudo ensemble data assimilation system for COAMPS that is capable of ingesting flow-dependent background error covariance for tropical cyclone initialization without performing a computationally expensive online ensemble forecast. (3) Develop quality control and data thinning procedures for COAMPS-EnKF by implementing successful strategies from the preexisting PSU WRF-based EnKF data assimilation system (WRF-EnKF). (4) Explore the practical use of different observing strategies in predicting tropical cyclones, including the assimilation of droposondes, radar, airborne and spaceborne observations using ensemble-based data assimilation systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2013
- Accession Number
- ADA597758
Entities
People
- Fuqing Zhang
Organizations
- Pennsylvania State University