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Home » NOAA / GSL Staff Directory » Profile

Guoqing Ge

GSL Staff Profiles
Email
guoqing.ge@noaa.gov
Phone
303-497-4163
Address
DSRC
325 Broadway
Boulder, CO 80305-3328
Affiliation
CIRES

Professional Profile

Dr. Guoqing Ge
Dr. Guoqing Ge’s work focuses on developing and testing modifications in data assimilation for numerical models. He maintained the community version and provided community support for the NOAA GSI/EnKF data assimilation systems from 2017 to 2021 through the Development Testbed Center. He has been working on the HRRR, Rapid Refresh (RAP), RRFS, 3DRTMA, and GFS/GDAS systems, dealing with all types of in-situ or remote-sensed meteorological observations, testing and refining algorithms for these operational real-time applications. He is actively involved in the contribution towards a NOAA Unified Forecast System (UFS).

Outside of work, Guoqing enjoys hiking, traveling, skiing, playing table tennis, and billiards. Guoqing is also a major participant of the CIRES adopt-a-highway program which keeps the highway beautiful.

Research Interests
• Radar data assimilation/analysis, satellite data assimilation, lightning data assimilation
• Meso-scale processes, thunderstorms, supercell, tornado, hurricane;
• Advanced data assimilation;
• Numerical weather analysis/prediction/modeling;
• OSSEs and OSEs
• GPS/GNSS meteorology
• Aerosol analysis

Education
Ph.D. Meteorology, 2011, University of Oklahoma.
M.S.   Meteorology, 2004, Peking University, P.R. China.
B.S.    Meteorology, 1997, Nanjing University, P.R. China.

Professional Activities
Associate Editor, Monthly Weather Review
Associate Editor, Journal of Applied Meteorology and Climatology
Guest Editor, Remote Sensing Special issue
Host for Development Testbed Center visitors.
Reviewer for Quarterly Journal of the Royal Meteorological Society, Monthly Weather Review, Geophysical Research Letters, Journal of Applied Meteorology and Climatology, Weather and Forecasting, Journal of Climate, Atmospheric Science Letters, Journal of Atmospheric and Oceanic Technology, Advances in Atmospheric Sciences, Journal of the Meteorological Society of Japan, Journal of the Atmospheric Sciences, Remote Sensing

Professional experience
05/2017-Present Research Scientist II, CIRES and NOAA/GSL
08/2015-2017/04 Research Scientist I, CIRES and NOAA/GSL
05/2011-07/2015 Postdoctoral Research Associate, CAPS, Univ. of Oklahoma
01/2005-05/2011 Graduate Research Assistant, University of Oklahoma
03/2004-01/2005 Meteorologist, China Weather TV
09/2001-07/2004 Graduate Research Assistant, School of Physics, Peking University
09/2002-07/2003 Teaching Assistant, School of Physics, Peking University

Publications (peer-reviewed):
Wei, S., C. Lu, B. T. Johnson, C. Dang, P. Stegmann, D. Grogan, G. Ge, and M. Hu, 2021: The influence of aerosols on satellite infrared radiance simulations and Jacobians: Numerical experiments of CRTM and GSI. To be submitted.
Banos, I. H., W. D. Mayfield, G. Ge, L. F. Sapucci, J. R. Carley and L. Nance, 2021: Assessment of the data assimilation framework for the prototype Rapid Refresh Forecast System and impacts on forecasts of convective storms. Submitted, In Review.
Slivinski, L. C., D. Lippi, J. S. Whitaker, G. Ge, J. R. Carley, C. R. Alexander and G. P. Compo, 2021: Overlapping Windows in a Global Hourly Data Assimilation System.  Submitted, In Review.
Lu, C., Q. Liu, S. Wei, B. T. Johnson, C. Dang, P. G. Stegmann, D. Grogan, G. Ge, and M. Hu, 2021:  The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator. Submitted, In Review.
Pan, Y., M. Xue and G. Ge, 2016: Incorporating Diagnosed Intercept Parameters and the Graupel Category within the ARPS Cloud Analysis System for the Initialization of Double-Moment Microphysics: Testing with a Squall Line over South China.. Monthly Weather Review, 144, 371–392.
Ge, G., J. Gao, and M. Xue, 2013: Impact of a Diagnostic Pressure Equation Constraint on Tornadic Supercell Thunderstorms Forecasts Initialized using 3DVAR Radar Data Assimilation. Advances in Meteorology, vol. 2013, Article ID 947874, 12 pages, 2013. doi:10.1155/2013/947874.
Yussouf, N., J. Gao, D. Stensrud, and G. Ge, 2013: The Impact of Mesoscale Environmental Uncertainty on the Prediction of a Tornadic Supercell Storm using Ensemble Data Assimilation Approach. Advances in Meteorology, vol. 2013, Article ID 731647, 15 pages, 2013. doi:10.1155/2013/731647.
Ge, G., J. Gao, and M. Xue, 2013: Impacts of Assimilating Measurements of Different State Variables with a Simulated Supercell Storm and Three-Dimensional Variational Method. Monthly Weather Review, 141, 2759-2777.
Ge, G., J. Gao, and M. Xue, 2012: Diagnostic Pressure Equation as a Weak Constraint in a Storm-Scale Three-Dimensional Variational Radar Data Assimilation System. Journal of Atmospheric and Oceanic Technology, 29, 1075-1092.
Ge, G., J. Gao, K. Brewster, and M. Xue, 2010: Impacts of Beam Broadening and Earth Curvature on Storm-Scale 3D Variational Data Assimilation of Radial Velocity with Two Doppler Radars. Journal of Atmospheric and Oceanic Technology, 27, 617-636.
Zheng, Y., J. Chen, G. Ge, and P. Zhu, 2008b: Typical structure, variety, and multi-scale characteristics of Meiyu front. Acta Meteorologica Sinica, 22, 187-201.
Zheng, Y., J. Chen, G. Ge, Y. Huang, and C. Zhang, 2008a: Review on synoptic-scale Meiyu Front Systems and Its Synoptics Definition. Acta Scientiarum Naturalium Universitatis Pekinensis, 44, 157-164.
Tao, Z., G. Ge, Y. Zheng, F. Gao, Y. Wang, M. Chen, Y. Duan, and Y. Yang, 2004: Similarities and Differences Between Two Disastrous Weather Events Occured in Beijing and Shanghai July 2004 and the Aroused Scientific Problems. Acta Meteorologica Sinica, 62, 882-887.
Wang, Y., G. Ge, and Z. Tao, 2003: Climatic Characteristics of Estival Muggy Weather in Beijing and its potential impact on 2008 Olympics. Meteorological Monthly, 29, 23-27.
Ge, G., T. Qian, and Z. Tao, 2002: The Circulational Cause of a Heavy Rainfall event in Beijing. Meteorological Monthly, 28, 3-6.

Invited Talks:
Ge. G., 2021: GSI Fundamentals: Diagnostics. AMDAR Project Implementation Training, March 8-12, 2021 Mombasa Kenya (virtual)
Ge. G., 2021: GSI Fundamentals: Prep BUFR and BUFR Format. AMDAR Project Implementation Training, March 8-12, 2021 Mombasa Kenya (virtual)
Ge, G., 2017: GSI Fundamentals (3): Diagnostics. 2017 Community GSI/EnKF Tutorial, College Park, MD.
Ge, G., 2017: GSI Fundamentals (5): Prep BUFR and BUFR Format. 2017 Community GSI/EnKF Tutorial, College Park, MD.