Advance the Cutting-Edge Science and Technology in Radar Data Quality Control and Assimilation for Analyzing and Forecasting Severe Storms and Intense Vortices
Abstract
Funds are provided to investigate radar data quality control (QC) methods and assimilation techniques for improving mesoscale weather analysis and forecasts. The proposed effort will address outstanding problems and explore new ideas with advanced theoretical formulations to address issues in radar that are important and yet very challenging for predicting severe storms and high-impact hazardo"us weather, especially those caused by intense vortices associated with tropical cyclones. The proposed research will fulfill the f"ollowing three objectives:~ Investigate data quality problems identified from operational dual polarizationand phased array radar" under various hazardous weather conditions, and develop advanced adaptive radar data QC techniques for operational data assimilatio"n.~ Develop effective and efficient data analysis methods with new capabilities for estimating and constructing vortex-flow-dependent background error covariance to advance the state of the art in using radar observations in combination with other observations to analyze intense vortex winds in tropical cyclones.~ Explore new ideas with advanced theoretical formulations and efficient algorithms to advance the knowledge and skills in multi-scale and multistep variational analysis and data assimilation for analyzing and forecasting severe weather.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712375
Entities
People
- Qin Xu
Organizations
- Office of Naval Research
- United States Navy
- University of Oklahoma