Impact of Assimilating Airborne Doppler Radar Winds on the Inner-Core Structure and Intensity of Hurricane Ike (2008)
Explore this paper's citation graph
- Type
- article
- Published
- 2011-01-01
- Cited by
- 1
- References
- 47
- OpenAlex
- https://openalex.org/W59757674
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:126859844
Keywords
Data assimilation, Meteorology, Weather Research and Forecasting Model, Numerical weather prediction, Inner core
References
- The WRF Single-Moment 6-Class Microphysics Scheme (WSM6)
- Impact of Airborne Doppler Radar Data Assimilation on the Numerical Simulation of Intensity Changes of Hurricane Dennis near a Landfall
- The statistical structure of forecast errors and its representation in The Met. Office Global 3‐D Variational Data Assimilation Scheme
- The use of observed data for the initial-value problem in numerical weather prediction
- Convectively Generated Potential Vorticity in Rainbands and Formation of the Secondary Eyewall in Hurricane Rita of 2005
- Hurricane Intensity and Eyewall Replacement
- Achievement of USWRP Hurricane Landfall Research Goal.
- Hurricane Surface Wind Measurements from an Operational Stepped Frequency Microwave Radiometer
- Vortex initialization for typhoon track prediction
- Dynamics and Structure of Forecast Error Covariance in the Core of a Developing Hurricane
- An Initialization Scheme of Hurricane Models by Vortex Specification
- Experiments of Hurricane Initialization with Airborne Doppler Radar Data for the Advanced Research Hurricane WRF (AHW) Model
- Four-dimensional variational data assimilation for Doppler radar wind data
- Four-Dimensional Variational Data Assimilation for WRF : Formulation and Preliminary Results
- An Examination of Model Track Forecast Errors for Hurricane Ike (2008) in the Gulf of Mexico
- The HRD real-time hurricane wind analysis system
- Hurricane Andrew's Landfall in South Florida. Part I: Standardizing Measurements for Documentation of Surface Wind Fields
- Data Assimilation and Initialization of Hurricane Prediction Models
- The Intensity Forecasting Experiment: A NOAA Multiyear Field Program for Improving Tropical Cyclone Intensity Forecasts
- Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects
Cited by
Related papers
- Improving Hurricane Intensity Forecasts Using 4DVAR Data Assimilation of Airborne Doppler Radar Winds
- On the Improved Predictive Skill of WRF Model With Regional 4DVar Initialization: A Study With North Indian Ocean Tropical Cyclones
- Assimilation of Radar Radial Velocity Data with the WRF Hybrid Ensemble–3DVAR System for the Prediction of Hurricane Ike (2008)
- Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods
- Application of WRF 3DVAR to operational typhoon prediction in Taiwan: Impact of outer loop and partial cycling approaches
- Advanced Data Assimilation for Cloud-Resolving Hurricane Initialization and Prediction
- Applications of Radar Data Assimilation with Hydrometeor Control Variables within the WRFDA on the Prediction of Landfalling Hurricane IKE (2008)
- Influence of the Self-Consistent Regional Ensemble Background Error Covariance on Hurricane Inner-Core Data Assimilation with the GSI-Based Hybrid System for HWRF
- Analysis and very short range forecast of cyclone “AILA” with radar data assimilation with rapid intermittent cycle using ARPS 3DVAR and cloud analysis techniques
- Impact of Assimilating Aircraft Reconnaissance Observations on Tropical Cyclone Initialization and Prediction Using Operational HWRF and GSI Ensemble–Variational Hybrid Data Assimilation