Curriculum Vitae A. EDUCATION

Transcription

1 Curriculum Vitae Xingqin Fang (方杏芹) Project Scientist UCAR, P.O. Box 3000, Boulder, CO 80307, USA A. EDUCATION University Sun Yat-Sen University, Guangzhou, China Sun Yat-Sen University, Guangzhou, China Sun Yat-Sen University, Guangzhou, China Major Meteorology Meteorology Meteorology Degree &Year B.S., 1991 M.S., 1994 Ph.D., 2011 Ph.D. program: : Study at Department of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou, China : Research at Mesoscale and Microscale Meteorology Division, NCAR/UCAR, Boulder, CO, USA. B. THESIS Ph.D.: Fang, X., 2011: Impact of Assimilation of Radio Occultation Refractivity Data on Typhoon Analysis and Prediction - Advisors: Prof. Anyu Wang, Sun Yat-Sen University, Guangzhou, China Prof. Ying-Hwa (Bill) Kuo, NCAR/UCAR, Boulder, CO, USA M.S.: Fang, X., 1994: Variations of SST for Different Areas of North Pacific and the Relationship to the Anomalous Rainfall during the April -June Rainy Season of South China (in Chinese) - Advisor: Prof. Huibang Luo, Sun Yat-Sen University, Guangzhou, China C. PROFESSIONAL APPOINTMENTS 2014 now, Project Scientist I, COSMIC/UCAR, Boulder, CO, USA , Postgraduate Scientist, COSMIC/UCAR, Boulder, CO, USA , Senior Engineer, Panyu Institute of Environmental Sciences, Guangzhou, China , Engineer, Guangzhou Research Institute of Environmental Protection, Guangzhou, China 1

2 D. SKILLS Strong knowledge on dynamic meteorology, synoptics, and statistics Developed knowledge on radio occultation satellite measurement technique Extensive experience in numerical weather prediction (NWP) and data assimilation Skill in applications of satellite observations in NWP Skill in ensemble forecasting, model verification, and predictability study Skill in weather process diagnostics, climate variability and extreme analysis Skill in environmental impact assessment Skill in computing, plotting, and scripting languages, such as Fortran, NCL, and UNIX Skill in preparing presentation, report, and paper Skill in oral and written English Skill in some oral Cantonese and Chewchou dialect E. PAPERS Fang, X., 2016a: A Note on the Derivation of the ROPP 1D Bending Angle Operator. Guangdong Meteorology, accepted, in press. Fang, X., and Y.-H. Kuo, 2016b: Detection of a Coupled-S-Shaped Pattern in the Normalized Refractivity Anomaly in East Asia and the Western North Pacific with COSMIC RO Refractivity Profiles. Submitted to Journal of Climate. Fang, X., Y.-H. Kuo, and W. Wang, 2016c: Diagnosis of Error Features in GFS and WRF-ARW Medium Range Forecasts of Hurricane Sandy (2012). In preparation. Fang, X., and Y.-H. Kuo, 2015: A New Generic Method for Quantifying the Scale Predictability of the Fractal Atmosphere: Applications to Model Verification. J. Atmos. Sci., 72, doi: Fang, X., and Y.-H. Kuo, 2013: Improving Ensemble-Based Quantitative Precipitation Forecasts for Topography-Enhanced Typhoon Heavy Rainfall over Taiwan with a Modified Probability-Matching Technique. Mon. Wea. Rev., 141, doi: Fang, X., Y.-H. Kuo, and A. Wang, 2011: The Impacts of Taiwan Topography on the Predictability of Typhoon Morakot s Record-Breaking Rainfall: A High-Resolution Ensemble Simulation. Wea. Forecasting, 26, doi: D Fang, X., A. Wang, S.-K. Fong, W. Lin, and J. Liu, 2008: Changes of Reanalysis-derived Northern Hemisphere Summer Warm Extreme Indices during and Links with Climate Variability. Global and Planetary Change, 63, doi: 2

3 (This paper was featured with research highlight Global warming: Hotter and hotter on Fang, X., and R. Xie, 1998: Approach on the Method of Sunshine Environmental Impact Assessment in Viaduct Project. Journal of Sun Yatsen University (Natural Science Edition), 38 (S2), (See Fang, X., and L. He, 1998: 1998: A Method on Air Pollution Dispersion with One Limited Lateral Boundary. Guangzhou Environmental Sciences, 13(1), Lin, W., J. Wu, J. Li*, X. Liang, X. Fang, and S. Xu, 2010: A Sensitivity Simulation about Cloud Microphysical Processes of Typhoon Chanchu. Journal of Tropical Meteorology, 16(4), Liu, J., S. Fan, X. Fang, A. Wang, J. Li, Q. Fan, X. Chen, Y. Feng, S.-K. Fong, and Y.-W. Liu, 2007: Review of the Study on Wind Profiler System and its Applications. Journal of Tropical Meteorology, 23, Luo, H., R. Chen, X. Fang, X. Yu, Z. Feng, and C. Fu, 1995: Observational Studies on the Impact of Thermal Forcing due to Topography and Ocean-Land Contrast on Climate of East Asia and Northern Hemisphere. Scientia Meteorologica Sinica, 15, Wang, A., X. Fang, 1993: The Seasonal Change of Global General Circulation of Atmosphere at 50hPa. Supplement to the Journal of Sun Yat-sen University, 1, F. PRESENTATIONS Fang, X., 2016: Applications of RO data in NWP and Climate Study. Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration (GITMM/CMA), Guangzhou, China, March 25, Fang, X., and Y.-H. Kuo, 2015: Diagnosis of Kinetic Energy Error Growth in the NCEP GFS Model during the 2012 Hurricane Season. Presentation, 27 th Conference on Weather Analysis and Forecasting / 23 rd Conference on Numerical Weather Prediction. Chicago, IL, USA, July 2, Fang, X., and Y.-H. Kuo, 2014: Evaluating Two Cumulus Parameterization Schemes in a Cycling Ensemble Data Assimilation System with GPS Radio Occultation Refractivity Profiles. Presentation, 8 th FORMOSAT-3/COSMIC Data Users Workshop. Boulder, CO, Oct. 1, Fang, X., and Y.-H. Kuo, 2014: A New Generic Method for Quantifying the Scale Predictability of the Fractal Atmosphere. Presentation, International Conference on Mesoscale Meteorology and Tropical Cyclones, 10 th International Conference on Mesoscale Convective Systems (ICMCS-X). Boulder, CO, Sep. 15, Fang, X., and Y.-H. Kuo, 2013: Detection of a Coupled-S-Shaped Pattern in the Normalized Refractivity Anomaly in the East Asia and Western North Pacific and Its Implications. 3

4 Presentation, 6 th International Conference on Atmosphere, Ocean and Climate Change. Hong Kong, Aug. 20, Kuo, Y.-H., X. Fang, and H. Liu, 2013: The Impacts of GPS Radio Occultation Data on the Analysis and Prediction of Tropical Cyclones. Presentation, 2 nd International Conference on GPS Radio Occultation. Taipei, May 14, Fang, X., and Y.-H. Kuo, 2012: Improvement of Rainfall Ensemble Forecast of Typhoon Morakot (2009) from Assimilation of GPS RO Refractivity Data. Presentation, 6 th FORMOSAT-3/COSMIC Data Users Workshop. Boulder, CO, Oct. 31, Fang, X., and Y.-H. Kuo, 2012: Assessing the Impact of RO Refractivity on the Analysis and Prediction of Typhoon Morakot (2009) with a New Data Assimilation Strategy. Presentation, International Radio Occultation Working Group (IROWG) 2nd Workshop. Estes Park, CO, April 2, Fang, X., and Y.-H. Kuo, 2012: Observational Error Analysis of GPS Radio Occultation Refractivity Data for Regional Data Assimilation. Presentation, AMS 16 th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS). New Orleans, LA, Jan. 24, Fang, X., and Y.-H. Kuo, 2011: Prediction of the Record-breaking Rainfall of Typhoon Morakot (2009) with a High-resolution Ensemble: Sensitivity to Cumulus Parameterization. Poster, AMS 24 th Conference on Weather and Forecasting/20 th Conference on Numerical Weather Prediction. Seattle, WA, Jan. 25, Fang, X., and Y.-H. Kuo, 2010: The Impact of Taiwan Topography on the Predictability of Typhoon Morakot s Record-Breaking Rainfall: A High-Resolution Ensemble Simulation. Poster, AMS 29 th Conference on Hurricanes and Tropical Meteorology. Tuscon, AZ, May 13, Kuo, Y.-H., X. Fang, Y. R. Guo, H. Liu, and Z. Ma, 2010: The Impacts of GPS Radio Occultation Data on Tropical Cyclone Prediction. Presentation, AMS 29 th Conference on Hurricanes and Tropical Meteorology. Tuscon, AZ, May 13, Fang, X., Y.-H. Kuo, and H. Liu, 2010: The Impact of COSMIC GPS RO Data on the Analysis and Prediction of Tropical Cyclogenesis. Presentation, AMS 14 th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS- AOLS). Atlanta, GA, Jan. 20, Fang, X., Y.-H. Kuo, and H. Liu, 2009: Impact of COSMIC Data on Tropical Cyclogenesis. Poster, 4 th FORMOSAT-3/COSMIC Data Users Workshop. Boulder, CO, Oct. 27, Fang, X., Z. Feng, and H. Luo, 1994: The Main Features of Sea Surface Temperature in the Pacific and Their Relationship to the Anomalous Rainfall in South China During April-June. The First PRC-JAPAN Workshop on the Asia Monsoon Mechanism. Beijing, China, Oct. 30,

5 G. COURSE REPORTS Fang, X., 2007: Review on the Low Frequency Oscillations (Madden-Julian Oscillation, MJO) in the Atmosphere, scored 88 in the Ph.D. course Modern Tropical Meteorology. Fang, X., 2008: Regional Diagnostic Analysis of Geopotential Height on the Constant Pressure Level: Solving the Regional Laplace Equation by Successive Over-Relaxation Method, scored 95 in the Ph.D. course General Circulation II. H. INTERNATIONAL SCIENTIFIC VISIT AND TRAINING : Attend the project workshop at Norwegian Institute for Air Research (NILU), Oslo, Norway : Attend the Air quality management and planning system (AirQUIS) training at NILU, Oslo, Norway : Visit the California Environmental Protection Agency Air Resources Board (CARB), Los Angeles, USA and the Environmental Technology Center, Toronto, Canada : Attend the satellite data assimilation colloquium held by Joint Center for Satellite Data Assimilation (JCSDA), Stevenson, Washington, USA : Attend the Dynamical Core Model Intercomparison Project (DCMIP) and the associated two-week summer school, Boulder, CO, USA. I. AWARDS 1991: Outstanding Undergraduate Student Award, Sun Yat-Sen University, Guangzhou, China 1994: Outstanding Graduate Student Award, Sun Yat-Sen University, Guangzhou, China Some other awards in environmental protection sciences. J. SERVICES Served as reviewer for: Journal of the Atmospheric Sciences Monthly Weather Review Weather and Forecasting Meteorology and Atmospheric Physics Hydrology and Earth System Sciences 5

6 K. PROJECTS Item Project Name Funding Sources COSMIC Constellation Observing System for Meteorology, Ionosphere and Climate Hurricane Forecast Improvement Project (HFIP) Mesoscale ensemble prediction for tropical cyclones Optimizing the assimilation of GPS RO data in the lower tropical troposphere Improvement of GPS RO data processing in the upper troposphere and stratosphere United States National Science Foundation (NSF) NOAA CWB of Taiwan NRL 40 NASA 30 Funding (M) Time period 300 (/y) Position and task improving RO data assimilation for typhoon prediction verification and refinement of hurricane prediction in NCEP Global model Principle investigator, building and application of mesoscale ensemble prediction system improving RO data assimilation in tropical lower troposphere improving RO data processing in upper troposphere and lower stratosphere Paticipants