Radar Applications,
Instrumentation, And Nowcasting Systems Hydrology Instrumentation Mesoscale Modeling Micrometeorology Nowcasting Remote Sensing Wind Energy |
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Principal InvestigatorNeil Fox, Ph.D.Graduate StudentsIsabela Carlos, Ph.D. StudentAdam Balbi, M.S. Student Eric Weber, Ph.D. Student Undergraduate AssistantsSarah GranaEric Brewster ResearchThe Rains Group focuses on research into precipitation observations and forecasts using meteorological radar. This includes looking at the morphology of convective storm types to improve preditions of heavy rain, severe weather and storm devlopment. Related to this are insvestigations of improved precipitation characterization on surface processes such as soil erosion and streamflow. Other areas of interest are observations of near-surface winds for wind energy assessment,and odor dispersion from CAFOs. Current projects include: PRESSES: Polarimetric radar for examining streamflow and soil erosion studies Quasi-linear convective system modes and mesocyclone occurrence Classification of convective storm types Low-level jet impacts on wind energy generation Soil erosion from heavy rain Operational use of dual-polarization radar products in precipitation monitoring MIDWEST RENEWABLE-ENERGY GENERATION AND STORAGE SOLUTIONS
Previous Projects: Statistical Methods for Precipitation Nowcasting and Verification With Dr. Chris Wikle and Dr. Sakis Micheas Mobile Observations of Rainfall Kinetic Energy and Soil Erosion Improved Model for Runoff and Soil Erosion from Natural Events Storm duration forecasts for flash flood warning Tall tower studies of Missouri Winds |
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Recent Publications (2012):
Lack, S.A. and N.I. Fox, 2012: Convective storm classification using a combined radar and RUC model near-storm environment approach. Atmospheric Research, 116, 67-81. Fox, N.I., 2011: A tall tower study of Missouri winds. Renewable Energy, 36, 330-337. Lack , S. A., G.L. Limpert and N.I. Fox, 2010: An object-oriented multi-scale verification scheme. Weather and Forecasting, 25, 79-92. Hagen, T., J. Glisan, A.R. Lupo, E. Aldrich, P. Guinan, P.S. Market and N.I. Fox, 2009: The Presentation of Precipitation Information in Television Broadcasts: What is Typical? National Weather Digest, 33, 155-164. Buckley, P., P.S. Market, A.R. Lupo and N.I. Fox, 2008: COHIX: Further studies of the heat island associated with a small midwestern city. Atmospheric Science Letters, 9, 226-230. Market, P.S., N.I. Fox, B.P. Pettegrew, and Anthony R. Lupo, 2007: Second Conference on Weather Analysis and Forecasting Issues in the Central United States. Bull. Amer. Meteor. Soc, 88, 1795-1798. Micheas, A., N.I. Fox, S.A. Lack and C.K. Wikle, 2007: Cell identification and verification of QPF ensembles using shape analysis techniques. Journal of Hydrology, 344, 105-116. Lack, S.A., and N.I. Fox, 2007: Quantifying the effect of wind-drift on radar-derived surface rainfall estimations. Atmospheric Research, 85 (2), 217-229. Foltz, C.S., S.A. Lack, N.I. Fox, A.R. Lupo, and J.R. Hasheider, 2007: The First Conference On Advancing Renewables In The Midwest. Bulletin of the American Meteorological Society, 88, 1097-1099. Gochis, D., A. Barros, A. Gettelman, J. Wang, J. Braun, W. Cantrell, Y-Q. Chen, A. Clement, N. Fox, B. Geerts, W. Han, M. Herzog, P. Kucera, R. Kursinski, A. Laing, C. Liu, E.D. Maloney, S. Margulis, D. Schultz, S. Sherwood, A. Sobel, H. Vömel, and Z. Wang, 2005: Future Scientific Directions: The Water Cycle Across Scales. Bulletin of the American Meteorological Society, 86 (12), 1743-1746. Fox, N.I. and C.K. Wikle, 2005: A Bayesian quantitative precipitation nowcasting scheme. Weather and Forecasting, 20, 264-275. Fox, N.I. and C.K. Wikle, 2005: Providing distributed forecasts of precipitation using a Bayesian nowcast scheme. Atmospheric Science Letters, 6, 59-65. Fox, N.I. and J.W. Wilson, 2005: Very short period quantitative precipitation forecasting. Atmospheric Science Letters, 6, 7-11. Lack, S.A. and N.I. Fox, 2005: Errors in surface rainfall rates retrieved from radar due to wind drift. Atmospheric Science Letters, 6, 71-77. B. Xu, C.K. Wikle and N.I. Fox, 2005: A Kernel-based spatio-temporal dynamical model for nowcasting radar precipitation. Accepted for publication in J. Am. Stat. Assoc. |
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Classification of convective storm types using radar signatures and RUC near-storm environment data.
Tasks:
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Analyzing wind power ramp events produced by Low-level jet onset in Missouri.Purpose:
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Using Vegetative Environmental Buffers to mitigate Odors from CAFOsPurpose:
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Copyright © 2006-2007 Department of Atmospheric Sciences, University of Missouri - Columbia |