Poster Session 4 |
| | Radar and Icing Posters |
| | P4.1 | An update of the LIDAR Windshear Alerting System (LIWAS) in Hong Kong 
P. W. Chan, Hong Kong Observatory, Hong Kong, China; and M. L. Kuo and C. M. Li |
| | P4.2 | The Real-Time Verification System (RTVS-NG): Integrating data to support user-based verification
Nick D. Matheson, OAR, Boulder, CO; and M. A. Petty, D. S. Schaffer, S. Madine, and J. Mahoney |
| | P4.3 | Development of a Polarimetric Space-Time Radar for Airborne Weather Hazard Monitoring
Yan Zhang, University of Oklahoma, Norman, OK |
| | P4.4 | Three-dimensional radar mosaic integrating WSR-88Ds and Canadian radar network
Jian Zhang, CIMMS/Univ. of Oklahoma, Norman, OK; and C. Langston, K. Howard, W. Xia, and P. I. Joe |
| | P4.5 | Three-Dimensional Mosaic of the Eddy Dissipation Rate Fields from WSR-88Ds
Ming Fang, CIMMS/Univ. of Oklahoma, Norman, OK; and J. Zhang, J. K. Williams, and J. A. Craig |
| | P4.6 | Development of a lead-time metric for assessing skill in forecasting the onset of IFR events: poster and laptop presentation of a prototype web tool and database
Andrew Loughe, NOAA/ESRL/GSD/CIRES/Univ. of Colorado, Boulder, CO; and S. Madine and J. Mahoney |
| | P4.7 | Investigation of a severe microburst near Phoenix, Arizona as seen by a mobile Doppler radar and the KIWA WSR-88D
Steven V. Vasiloff, NOAA/NSSL, Norman, OK; and K. Howard |
| | P4.8 | Analysis of 3-D NEXRAD Mosaic Reflectivity Data Colocated with Research Aircraft And Satellite Data: Implications on In-flight Icing
David Serke, NCAR, Boulder, CO; and F. McDonough and M. K. Politovich |
| | P4.9 | Development and testing of a liquid equivalent real-time sensor system in support of aircraft ground deicing operations
Roy Rasmussen, NCAR, Boulder, CO; and S. Landolt |
| | P4.10 | Comparison of NASA-Langley Satellite-Derived Cloud Properties with Pilot Reports in Aircraft Icing Scenarios
Jennifer Black, NCAR, Boulder, CO; and J. A. Haggerty, S. D. Landolt, F. McDonough, C. A. Wolff, P. Minnis, and L. Nguyen |
| | P4.11 | Using CloudSat data to validate icing products
Cory A. Wolff, NCAR, Boulder, CO; and T. F. Lee, C. Mitrescu, S. D. Landolt, and S. D. Miller |
| | P4.12 | Dust detection and quantification from MODIS IR bands using Artificial Neural Network (ANN) model
Sang-Sam Lee, Seoul National University, Seoul, South Korea; and B. J. Sohn |