Jidong Gao

发表

An Efficient Dual-resolution Approach for Ensemble Data Assimilation and Tests with Simulated Doppler Radar Data

Jidong Gao, Ming Xue, M. Xue, 2022 .

Forecaster Use and Evaluation of Real-Time 3DVAR Analyses during Severe Thunderstorm and Tornado Warning Operations in the Hazardous Weather Testbed

Kristin M. Calhoun, David J. Stensrud, Jidong Gao, 2014 .

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

S. J. Weiss, M. Xue, J. Kain, 2011 .

An Overview Of the 2010 hAzArdOus weAther testbed experimentAl fOrecAst prOgrAm spring experiment

S. J. Weiss, M. Xue, R. Sobash, 2012 .

Generalized Adjoint for Physical Processes with Parameterized Discontinuities. Part V: Coarse-Grain Adjoint and Problems in Gradient Check

Jidong Gao, Wei Gu, Qin Xu, 1998 .

Importance of Horizontally Inhomogeneous Environmental Initial Conditions to Ensemble Storm-Scale Radar Data Assimilation and Very Short-Range Forecasts

David J. Stensrud, Jidong Gao, Jidong Gao, 2010 .

The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation

Jidong Gao, Keith Brewster, Ming Xue, 2003 .

Impact of CASA Radar and Oklahoma Mesonet Data Assimilation on the Analysis and Prediction of Tornadic Mesovortices in an MCS

Jidong Gao, Alan Shapiro, Keith Brewster, 2011 .

3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR

Ming Hu, Jidong Gao, Keith Brewster, 2006 .

The Analysis and Prediction of the 8–9 May 2007 Oklahoma Tornadic Mesoscale Convective System by Assimilating WSR-88D and CASA Radar Data Using 3DVAR

Alexander D. Schenkman, M. Xue, Jidong Gao, 2011 .

Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept Experiments

Jacob T. Carlin, A. Ryzhkov, Jidong Gao, 2017 .

Progress and challenges with Warn-on-Forecast

Corey K. Potvin, Harold E. Brooks, Kristin M. Kuhlman, 2012 .

Assimilation of Reflectivity Data in a Convective-Scale, Cycled 3DVAR Framework with Hydrometeor Classification

Jidong Gao, D. Stensrud, 2012 .

Current Status and Future Challenges of Weather Radar Polarimetry: Bridging the Gap between Radar Meteorology/Hydrology/Engineering and Numerical Weather Prediction

Pengfei Zhang, Jidong Gao, Andrew D. Byrd, 2019, Advances in Atmospheric Sciences.

A Three-Dimensional Variational Radar Data Assimilation Scheme Developed for Convective Scale NWP

Jidong Gao, 2017 .

Test of a Weather-Adaptive Dual-Resolution Hybrid Warn-on-Forecast Analysis and Forecast System for Several Severe Weather Events

Louis J. Wicker, Kent H. Knopfmeier, Pamela L. Heiselman, 2019, Weather and Forecasting.

OSSEs for an Ensemble 3DVAR Data Assimilation System with Radar Observations of Convective Storms

J. Kain, Jidong Gao, D. Stensrud, 2016 .

Variational merged of hourly gauge‐satellite precipitation in China: Preliminary results

Zheng Niu, Yang Hong, Jidong Gao, 2015 .

' s personal copy Progress and challenges with Warn-on-Forecast

Louis J. Wicker, Travis M. Smith, Alexander D. Schenkman, 2013 .

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

S. J. Weiss, Barbara G. Brown, Jidong Gao, 2010 .

1 Assessing Advances in the Assimilation of Radar Data within a Collaborative Forecasting-Research Environment

S. J. Weiss, M. Xue, J. Kain, 2010 .

Exploring the Assimilation of GLM-Derived Water Vapor Mass in a Cycled 3DVAR Framework for the Short-Term Forecasts of High-Impact Convective Events

Jidong Gao, A. Fierro, E. Mansell, 2020 .

Assimilation of Radar Radial Velocity, Reflectivity, and Pseudo–Water Vapor for Convective-Scale NWP in a Variational Framework

Jidong Gao, S. Koch, A. Fierro, 2019, Monthly Weather Review.

Variational Assimilation of Radar Data and GLM Lightning-Derived Water Vapor for the Short-Term Forecasts of High-Impact Convective Events

Jidong Gao, A. Fierro, E. Mansell, 2019, Monthly Weather Review.

Assimilation of Flash Extent Data in the Variational Framework at Convection-Allowing Scales: Proof-of-Concept and Evaluation for the Short-Term Forecast of the 24 May 2011 Tornado Outbreak

Jidong Gao, K. Calhoun, A. Fierro, 2016 .

Impact of a Diagnostic Pressure Equation Constraint on Tornadic Supercell Thunderstorm Forecasts Initialized Using 3DVAR Radar Data Assimilation

M. Xue, Jidong Gao, G. Ge, 2013 .

Prediction of Convective Storms at Convection-Resolving 1 km Resolution over Continental United States with Radar Data Assimilation: An Example Case of 26 May 2008 and Precipitation Forecasts from Spring 2009

K. Droegemeier, M. Xue, Jidong Gao, 2013 .

Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model

M. Xue, E. Natenberg, Jidong Gao, 2013 .

Impacts of Assimilating Measurements of Different State Variables with a Simulated Supercell Storm and Three-Dimensional Variational Method

M. Xue, Jidong Gao, G. Ge, 2013 .

Diagnostic Pressure Equation as a Weak Constraint in a Storm-Scale Three-Dimensional Variational Radar Data Assimilation System

M. Xue, Jidong Gao, G. Ge, 2012 .

Assimilation of Indian radar data with ADAS and 3DVAR techniques for simulation of a small-scale tropical cyclone using ARPS model

M. Xue, Jidong Gao, K. Brewster, 2011 .

Importance of Environmental Variability to Ensemble Storm-scale Radar Data Assimilation and Very Short Range NWP

M. Xue, Jidong Gao, D. Stensrud, 2008 .

Differences Between Explicit and Approximated Radar Ray Paths Due to Vertical Gradient of Refractivity

Jidong Gao, 2005 .

3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR

M. Xue, Jidong Gao, Ming Hu, 2006 .

A radar reflectivity data assimilation method based on background-dependent hydrometeor retrieval: An observing system simulation experiment

Jacob T. Carlin, Jidong Gao, Yaodeng Chen, 2020 .

Three-dimensional Analyses of Several Thunderstorm Cases Observed using Hunan's Regional Radar Network

Jidong Gao, 2010 .

Impact of a Diagnostic Pressure Equation Constraint on Tornadic Supercell Thunderstorm 4 Forecasts Initialized using 3 DVAR Radar Data Assimilation 5 6 7 8

M. Xue, Jidong Gao, G. Ge, 2013 .

A Method for Retrieving Mean Horizontal Wind Profiles from Single-Doppler Radar Observations Contaminated by Aliasing

Jidong Gao, Qin Xu, Kelvin K. Droegemeier, 2004 .

CeO2–CoOx mixed oxides: Structural characteristics and dynamic storage/release capacity

Jidong Gao, Jun Wang, Meiqing Shen, 2011 .

JP 2 . 7 IMPACTS OF BEAM BROADENING AND EARTH CURVATURE ON 3 D VARIATIONAL RADAR DATA ASSIMILATION WITH TWO DOPPLER RADARS

M. Xue, Jidong Gao, K. Brewster, 2009 .

1 P 1 . 2 USING A LOW-ORDER MODEL TO DETECT AND CHARACTERIZE TORNADOES IN MULTIPLE-DOPPLER RADAR DATA

M. Xue, Jidong Gao, A. Shapiro, 2008 .

6 An Efficient Dual-Resolution Ensemble Data Assimilation Approach and Tests with the Assimilation of Doppler Radar Data

M. Xue, Jidong Gao, 2005 .

Variational Retrieval of Rain Microphysics and Related Parameters from Polarimetric Radar Data with a Parameterized Operator

M. Xue, Jidong Gao, Guifu Zhang, 2019 .

The Impact of Assimilating Satellite-Derived Layered Precipitable Water, Cloud Water Path, and Radar Data on Short-Range Thunderstorm Forecasts

Jidong Gao, Xuguang Wang, Jun Li, 2021, Monthly Weather Review.

Parameterized Forward Operators for Simulation and Assimilation of Polarimetric Radar Data with Numerical Weather Predictions

Jidong Gao, Guifu Zhang, Muyun Du, 2021, Advances in Atmospheric Sciences.

9B.6 ANALYSIS OF MCV TORNADOES THROUGH STORM-SCALE DATA ASSIMILATION AND SIMULATIONS

Alexander D. Schenkman, M. Xue, Jidong Gao, 2008 .

How to Be a More Effective Author

M. Scheuerer, J. Hacker, K. Corbosiero, 2022, Monthly Weather Review.

An Approach for Assimilating FY4 Lightning and Cloud Top Height Data Using 3DVAR

Jidong Gao, Yi Yang, Chenghai Wang, 2020, Frontiers in Earth Science.

Short-term Traffic Flow Prediction Based on EMD-WTD-SVR

Jidong Gao, Zhengqun Wang, Jin Xia, 2022, 2022 41st Chinese Control Conference (CCC).

An index of anomalous convective instability to detect tornadic and hail storms

Jidong Gao, Jun Du, W. Qian, 2019, Meteorology and Atmospheric Physics.

A Kind of FEM Dummy Material Property Parameter Curve Optimization Method Based on Vehicle Collision Simulation

Kai Ma, Tao Xu, Xin Lu, 2016 .

A Method for Assimilating Pseudo Dewpoint Temperature as a Function of GLM Flash Extent Density in GSI‐Based EnKF Data Assimilation System—A Proof of Concept Study

Jidong Gao, Sijie Pan, 2022, Earth and Space Science.

Effect of cobalt doping on ceria-zirconia mixed oxide: Structural characteristics, oxygen storage/release capacity and three-way catalytic performance

Jidong Gao, Jun Wang, Meiqing Shen, 2012 .

Preparation of FexCe1-xOy solid solution and its application in Pd-only three-way catalysts

Jidong Gao, Jun Wang, Meiqing Shen, 2012 .

Preparation of dendritic–linear polyether-modified silica sol and its application in coatings

Jidong Gao, Gang Zou, Limin Wang, 2016, Journal of Coatings Technology and Research.

Characteristics of gas-oil contact and mobilization limit during gas-assisted gravity drainage process

Jidong Gao, Rongchen Zheng, Debin Kong, 2022, Advances in Geo-Energy Research.

Experimental study on conductivity and stress sensitivity of fully supported fractured shale cores

Jidong Gao, Debin Kong, Weiyao Zhu, 2022, Journal of Petroleum Science and Engineering.

Experimental Investigation on the Effect of Pore Size on Spontaneous Imbibition Recovery in Oil-Wet Reservoirs

Jidong Gao, Weiyao Zhu, Ming Yue, 2022, Geofluids.

Impact of Assimilating High‐Resolution Atmospheric Motion Vectors on Convective Scale Short‐Term Forecasts: 3. Experiments With Radar Reflectivity and Radial Velocity

Jidong Gao, Juan Zhao, Junjun Hu, 2022, Journal of Advances in Modeling Earth Systems.

Use of a Vertical Vorticity Equation in Variational Dual-Doppler Wind Analysis

Corey K. Potvin, Jidong Gao, Alan Shapiro, 2009 .

Sensitivity of Convective Initiation Prediction to Near-Surface Moisture When Assimilating Radar Refractivity: Impact Tests Using OSSEs

Jidong Gao, Robert D. Palmer, Ming Xue, 2013 .

Two-dimensional variational analysis of near-surface moisture from simulated radar refractivity-related phase change observations

M. Xue, Jidong Gao, Ken-ichi Shimose, 2013, Advances in Atmospheric Sciences.

Application of the Quasi-Inverse Method to Data Assimilation

Jidong Gao, Zhaoxia Pu, Seon Ki Park, 2000 .

Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data

Corey K. Potvin, Jidong Gao, Tian-You Yu, 2006 .

Variation of radio refractivity with respect to moisture and temperature and influence on radar ray path

M. Xue, Jidong Gao, K. Brewster, 2008 .

Generalized Adjoint for Physical Processes with Parameterized Discontinuities. Part VI: Minimization Problems in Multidimensional Space

Jidong Gao, Qin Xu, 1999 .

The Development of a Hybrid EnKF-3DVAR Algorithm for Storm-Scale Data Assimilation

David J. Stensrud, Jidong Gao, Ming Xue, 2013 .

Can Gradient Information Be Used to Improve Variational Objective Analysis

Jidong Gao, P. Spencer, 2004 .

Examination of a Real-Time 3DVAR Analysis System in the Hazardous Weather Testbed

Kristin M. Calhoun, David J. Stensrud, Jidong Gao, 2014 .

A Variational Technique for Dealiasing Doppler Radial Velocity Data

Jidong Gao, Kelvin K. Droegemeier, K. Droegemeier, 2004 .

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

Jidong Gao, Fanyou Kong, Keith Brewster, 2014 .

The Impact of Mesoscale Environmental Uncertainty on the Prediction of a Tornadic Supercell Storm Using Ensemble Data Assimilation Approach

David J. Stensrud, Jidong Gao, Nusrat Yussouf, 2013 .

Assimilation of Radar Radial Velocity and Reflectivity, Satellite Cloud Water Path, and Total Precipitable Water for Convective-Scale NWP in OSSEs

Jidong Gao, D. Stensrud, Xuguang Wang, 2017 .

Some Observing System Simulation Experiments with a Hybrid 3DEnVAR System for Storm-Scale Radar Data Assimilation

David J. Stensrud, Jidong Gao, Jidong Gao, 2014 .

Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity

James Correia, Adam J. Clark, Jidong Gao, 2013 .

A Three-Dimensional Variational Data Analysis Method with Recursive Filter for Doppler Radars

Jidong Gao, Keith Brewster, Ming Xue, 2004 .

Evaluation of a Cloud-Scale Lightning Data Assimilation Technique and a 3DVAR Method for the Analysis and Short-Term Forecast of the 29 June 2012 Derecho Event

Jidong Gao, Scott R. Dembek, Conrad L. Ziegler, 2014 .

Radar reflectivity data assimilation method based on background‐dependent hydrometeor retrieval: Comparison with direct assimilation for real cases

Jacob T. Carlin, Jidong Gao, Yunheng Wang, 2021, Quarterly Journal of the Royal Meteorological Society.

A Method for Retrieving Mean Horizontal Wind Profiles from Single-Doppler Radar Observations Contaminated by Aliasing

K. Droegemeier, Jidong Gao, JIDONG GAO, 2004 .

Assimilation of Passive Microwave Streamflow Signals for Improving Flood Forecasting: A First Study in Cubango River Basin, Africa

Yu Zhang, Yang Hong, Xuguang Wang, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Impact of Assimilating High‐Resolution Atmospheric Motion Vectors on Convective Scale Short‐Term Forecasts: 1. Observing System Simulation Experiment (OSSE)

Jidong Gao, Juan Zhao, Junjun Hu, 2021, Journal of Advances in Modeling Earth Systems.

The Study on the Capacity of NOx Storage-Reduction Catalyst for Lean-Burn Engine

Jidong Gao, Wang Jianqiang, Meiqing Shen, 2013 .

Three-Dimensional Simple Adjoint Velocity Retrievals from Single-Doppler Radar

Jidong Gao, Alan Shapiro, Ming Xue, 2001 .

An Analysis of the Processes Affecting Rapid Near-Surface Water Vapor Increases during the Afternoon to Evening Transition in Oklahoma

J. Basara, Jidong Gao, S. Cavallo, 2019, Journal of Applied Meteorology and Climatology.

Single-Doppler Velocity Retrieval with Rapid-Scan Radar Data

Jidong Gao, Alan Shapiro, Joshua Wurman, 2003 .

Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF

Jidong Gao, William J. Martin, Ying Xiao, 2006 .

12.4 NEW DEVELOPMENTS OF A 3DVAR SYSTEM FOR A NONHYDROSTATIC NWP MODEL

Jidong Gao, Keith Brewster, Ming Xue, 2002 .

A THREE-DIMENSIONAL VARIATIONAL DATA ASSIMULATION SCHEME FOR A STORM-SCALE MODEL

Jidong Gao, Ming Xue, Keith Brewster, 2001 .

Assimilating temperature and salinity profile observations using an anisotropic recursive filter in a coastal ocean model

Jiang Zhu, Jidong Gao, Ye Liu, 2009 .

Using Model Storms to Simulate Lightning , and Using Lightning to Stimulate Model Storms

Jidong Gao, K. Calhoun, A. Fierro, 2016 .

Assimilation of Polarimetric Radar Data in Simulation of a Supercell Storm with a Variational Approach and the WRF Model

Jidong Gao, Guifu Zhang, Yunheng Wang, 2021, Remote. Sens..

A Variational Method for the Analysis of Three-Dimensional Wind Fields from Two Doppler Radars

Jidong Gao, Alan Shapiro, Ming Xue, 1999 .

A three-dimensional variational single-Doppler velocity retrieval method with simple conservation equation constraint

Jidong Gao, Alan Shapiro, Ming Xue, 2006 .

Experimental Study and Characterization of Diesel PM Pollution of Urban Bus

Minggao Ouyang, Jidong Gao, Xiaojun Jing, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Applying Time-Expended Sampling to Ensemble Assimilation of Remote-Sensing Data for Short-Term Predictions of Thunderstorms

Jidong Gao, Lingkun Ran, Qin Xu, 2023, Remote. Sens..

Assimilating FY-4A Lightning and Radar Data for Improving Short-Term Forecasts of a High-Impact Convective Event with a Dual-Resolution Hybrid 3DEnVAR Method

Jidong Gao, Alexandre O. Fierro, Peng Liu, 2021, Remote. Sens..

Analyses and forecasts of a tornadic supercell outbreak using a 3DVAR system ensemble

Jidong Gao, Zhaorong Zhuang, Nusrat Yussouf, 2016, Advances in Atmospheric Sciences.

Importance of Environmental Variability to Storm-scale Radar Data Assimilation

Jidong Gao, 2008 .

An Efficient Dual-Resolution Approach for Ensemble Data Assimilation and Tests with Simulated Doppler Radar Data

M. Xue, Jidong Gao, 2008 .

Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity

J. Kain, Jidong Gao, J. Correia, 2013 .

3 DVAR and Cloud Analysis with WSR-88 D Level-II Data for the Prediction of Fort Worth Tornadic Thunderstorms Part I : Impact of radial velocity analysis via 3 DVAR

M. Xue, Jidong Gao, Ming Hu, 2004 .

Sensitivity of Convective Initiation Prediction to Near-Surface Moisture When Assimilating Radar Refractivity: Impact Tests Using OSSEs

Anna D. Johnson, Jidong Gao, N. Gasperoni, 2013 .

American Meteorological Society Monthly Weather Review Early Online Release the Analysis and Prediction of the 8-9 May 2007 Oklahoma Tornadic Mesoscale Convective System by Assimilating Wsr-88d and Casa Radar Data Using 3dvar

Alexander D. Schenkman, Jidong Gao, Keith Brewster, 2022 .

Impact of Radar Data Assimilation on the Analysis and Prediction of the 8-9 May 2007 Oklahoma Tornadic Mesoscale Convective System, Part Ii: Sub-storm-scale Mesovortices on a 400 M Grid

Alexander D. Schenkman, M. Xue, Jidong Gao, 2009 .

HIGH RESOLUTION ASSIMILATION OF CASA RADAR DATA FROM A TORNADIC CONVECTIVE SYSTEM

Jidong Gao, Alan Shapiro, Keith Brewster, 2008 .

Storm-Scale Quantitative Precipitation Forecasting Using Advanced Data Assimilation Techniques : Methods , Impacts and Sensitivities

Jidong Gao, K. Brewster, A. Shapiro, 2006 .

Assessment of Storm‐Scale Real Time Assimilation of GOES‐16 GLM Lightning‐Derived Water Vapor Mass on Short Term Precipitation Forecasts During the 2020 Spring Forecast Experiment

I. Jirak, Jidong Gao, A. Clark, 2021, Journal of Geophysical Research: Atmospheres.

Evaluation of an experimental Warn‐on‐Forecast 3DVAR analysis and forecast system on quasi‐real‐time short‐term forecasts of high‐impact weather events

Jidong Gao, P. Heinselman, A. Fierro, 2021, Quarterly Journal of the Royal Meteorological Society.

Assimilation of Radar Data, Pseudo Water Vapor, and Potential Temperature in a 3DVAR Framework for Improving Precipitation Forecast of Severe Weather Events

Jidong Gao, Hedi Ma, C. Cui, 2020, Atmosphere.

A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings

Kristin M. Calhoun, David J. Stensrud, Jidong Gao, 2013 .

Impacts of Beam Broadening and Earth Curvature on Storm-Scale 3D Variational Data Assimilation of Radial Velocity with Two Doppler Radars

M. Xue, Jidong Gao, K. Brewster, 2010 .

A Hybrid 3 DEnVar Analysis System with WRF Model Interface for Storm-Scale Radar Data Assimilation

Jidong Gao, D. Stensrud, Xuguang Wang, 2015 .

P9.8 A 3DVAR Application to Several Thunderstorm Cases Observed During VORTEX2 Field Operations and Potential for Real-Time Warning

M. Xue, Jidong Gao, D. Stensrud, 2009 .

An Efficient Dual-resolution Approach for Ensemble Data Assimilation and Tests with Simulated Doppler Radar Data

Jidong Gao, Jidong Gaop, Ming Xuep, 2022 .

Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data

Jidong Gao, A. Shapiro, C. Potvin, 2009 .

A comparison of the radar ray path equations and approximations for use in radar data assimilation

Jidong Gao, Keith Brewster, Ming Xue, 2006 .

Using a Low-order Model to Detect and Characterize Tornadoes in Multiple-doppler Radar Data

M. Xue, Jidong Gao, A. Shapiro, 2022 .

A Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction

Burkely T. Gallo, Louis J. Wicker, David A. Imy, 2020 .

Application of the Quasi-Inverse Method to Data Assimilation

Z. Pu, E. Kalnay, Jidong Gao, 2000 .

Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data

M. Xue, Jidong Gao, A. Shapiro, 2006 .