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Environmental Sciences

D-Index
34
Citations
4348
World Ranking
9457
National Ranking
3389

Overview

Fanyou Kong is a researcher affiliated with the University of Oklahoma in the United States. Their research primarily focuses on environmental science and earth and planetary sciences, with particular emphasis on global and planetary change, atmospheric science, and astronomy and astrophysics as subfields of study.

Their work addresses various topics within meteorological phenomena and simulations, climate variability and models, as well as interactions involving fire effects on ecosystems. Additional topics of interest include lightning and electromagnetic phenomena, atmospheric aerosols and clouds, plant water relations and carbon dynamics, and precipitation measurement and analysis.

Kong's publications have appeared frequently in several peer-reviewed venues, notably:

  • Monthly Weather Review (2 publications)
  • Weather and Forecasting (1 publication)
  • Geophysical Research Letters (1 publication)

Recent papers authored or co-authored by Kong include:

  • "Sensitivities of the WRF Lightning Forecasting Algorithm to Parameterized Microphysics and Boundary Layer Schemes," 2020, Weather and Forecasting
  • "Assessing the Impact of Stochastic Perturbations in Cloud Microphysics using GOES-16 Infrared Brightness Temperatures," 2020, Monthly Weather Review
  • "Error Growth Dynamics within Convection-Allowing Ensemble Forecasts over Central U.S. Regions for Days of Active Convection," 2021, Monthly Weather Review
  • "Comparison and Verification of Point-Wise and Patch-Wise Localized Probability-Matched Mean Algorithms for Ensemble Consensus Precipitation Forecasts," 2020, Geophysical Research Letters

Collaborative work is evident in Kong's research, with frequent co-authors including Ming Xue, Eugene W. McCaul, George Priftis, Jonathan L. Case, and Themis Chronis. These collaborations span diverse aspects of atmospheric and environmental science.

Best Publications

  • Toward Improved Convection-Allowing Ensembles: Model Physics Sensitivities and Optimizing Probabilistic Guidance with Small Ensemble Membership

    Craig S. Schwartz;John S. Kain;Steven J. Weiss;Ming Xue

  • Next-Day Convection-Allowing WRF Model Guidance: A Second Look at 2-km versus 4-km Grid Spacing

    Craig S. Schwartz;John S. Kain;Steven J. Weiss;Ming Xue

  • A Comparison of Precipitation Forecast Skill between Small Convection-Allowing and Large Convection-Parameterizing Ensembles

    Adam J. Clark;William A. Gallus;Ming Xue;Fanyou Kong

  • An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment

    Adam J. Clark;Steven J. Weiss;John S. Kain;Israel L. Jirak

  • Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer Using Sounding Observations

    Michael C. Coniglio;James Correia;Patrick T. Marsh;Fanyou Kong

  • Probabilistic Precipitation Forecast Skill as a Function of Ensemble Size and Spatial Scale in a Convection-Allowing Ensemble

    Adam J. Clark;John S. Kain;David J. Stensrud;Ming Xue

  • An explicit approach to microphysics in MC2

    Fanyou Kong;M.K. Yau

  • A Feasibility Study for Probabilistic Convection Initiation Forecasts Based on Explicit Numerical Guidance

    John S. Kain;Michael C. Coniglio;James Correia;Adam J. Clark

  • Explicitly-coupled cloud physics and radiation parameterizations and subsequent evaluation in WRF high-resolution convective forecasts

    Gregory Thompson;Mukul Tewari;Kyoko Ikeda;Sarah Tessendorf

  • Evaluating the Performance of Planetary Boundary Layer and Cloud Microphysical Parameterization Schemes in Convection-Permitting Ensemble Forecasts Using Synthetic GOES-13 Satellite Observations

    Rebecca Cintineo;Jason A. Otkin;Ming Xue;Fanyou Kong

  • Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting-Research Environment

    John S. Kain;Ming Xue;Michael C. Coniglio;Steven J. Weiss

  • Application of Object-Based Time-Domain Diagnostics for Tracking Precipitation Systems in Convection-Allowing Models

    Adam J. Clark;Randy G. Bullock;Tara L. Jensen;Ming Xue

  • Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment

    Burkely T. Gallo;Adam J. Clark;Israel Jirak;John S. Kain

  • Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity

    Adam J. Clark;Adam J. Clark;Jidong Gao;Patrick T. Marsh;Patrick T. Marsh;Patrick T. Marsh;Travis Smith;Travis Smith

  • Object-Based Evaluation of the Impact of Horizontal Grid Spacing on Convection-Allowing Forecasts

    Aaron Johnson;Xuguang Wang;Fanyou Kong;Ming Xue

  • Forecasting Tornado Pathlengths Using a Three-Dimensional Object Identification Algorithm Applied to Convection-Allowing Forecasts

    Adam J. Clark;Adam J. Clark;John S. Kain;Patrick T. Marsh;Patrick T. Marsh;Patrick T. Marsh;James Correia;James Correia

  • Multiscale Characteristics and Evolution of Perturbations for Warm Season Convection-Allowing Precipitation Forecasts: Dependence on Background Flow and Method of Perturbation

    Aaron Johnson;Xuguang Wang;Ming Xue;Fanyou Kong

  • The community leveraged unified ensemble (CLUE) in the 2016 NOAA/hazardous weather testbed spring forecasting experiment

    Adam J. Clark;Israel L. Jirak;Scott R. Dembek;Gerry J. Creager

  • Hierarchical Cluster Analysis of a Convection-Allowing Ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Ensemble Clustering over the Whole Experiment Period

    Aaron Johnson;Xuguang Wang;Ming Xue;Fanyou Kong

  • Convection-Allowing and Convection-Parameterizing Ensemble Forecasts of a Mesoscale Convective Vortex and Associated Severe Weather Environment

    Adam J. Clark;William A. Gallus;Ming Xue;Fanyou Kong

  • The Diurnal Cycle of Precipitation from Continental Radar Mosaics and Numerical Weather Prediction Models. Part II: Intercomparison among Numerical Models and with Nowcasting

    Marc Berenguer;Madalina Surcel;Isztar Zawadzki;Ming Xue

Frequent Co-Authors

Ming Xue
Ming Xue University of Oklahoma
Kelvin K. Droegemeier
Kelvin K. Droegemeier University of Oklahoma
Gregory Thompson
Gregory Thompson National Center for Atmospheric Research
William A. Gallus
William A. Gallus Iowa State University
Jason A. Otkin
Jason A. Otkin University of Wisconsin–Madison
Efi Foufoula-Georgiou
Efi Foufoula-Georgiou University of California, Irvine
Steven J. Goodman
Steven J. Goodman National Oceanic and Atmospheric Administration
Conrad L. Ziegler
Conrad L. Ziegler National Oceanic and Atmospheric Administration
Isztar Zawadzki
Isztar Zawadzki McGill University
Guifu Zhang
Guifu Zhang University of Oklahoma

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