Jidong Gao
Data Assimilation & Modeling Team (DAMT)
Job Title:Research Meteorologist
Affiliation:Federal
Email:Email hidden; Javascript is required.
Phone:(405) 325-6128
Google Scholar
I am currently a research meteorologist for National Severe Storm Laboratory (NSSL)/National Oceanic and Atmospheric Administration (NOAA). I am also affiliated with University of Oklahoma (OU) as Research Fellow for the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO), and as adjunct faculty member for the School of Meteorology (SoM). Before joining NSSL in 2010, I was an employee for OU Center for Analysis and Prediction of Storms (CAPS) for 13 years. I was the main developer of a hybrid ensemble-variational radar data assimilation system (Gao et al, 1999, 2004, 2013, 2016; Gao and Stensrud, 2012, 2014) which has interface with both open-source community Advanced Regional Prediction System (ARPS), and Weather Research & Forecasting model (WRF).
Unlike many other meteorologists here who love to chase storms or even tornadoes, I would rather stay indoors and play with complex formulae and computers. I consider myself as a part-time scientist who conducts scientific research and part-time software engineer who develops data assimilation programs for numerical weather prediction models. You are welcome to view my NSSL website which mainly includes my biographical sketch, full CV, list of formal publications, and Google Scholar page.
Degree (Ph.D, M.S, B.A, etc.) | Major Subject | University or College Name | Year (YYYY) (optional) |
---|---|---|---|
Ph.D. | Meteorology | Lanzhou University | 1994 |
M.S. | Meteorology | Lanzhou University | 1991 |
B.S | Meteorology | Lanzhou University | 1988 |
- Radar and satellite data assimilation
- Convective scale severe weather forecast
- Radar data quality control and Analysis
- Editor, Monthly Weather Review, American Meteorological Society
- CIWRO Fellow, University of Oklahoma
- Affiliate professor, School of Meteorology, University of Oklahoma
Award Name | Year |
---|---|
Advances in Atmospheric Sciences (AAS) Editor's Award | 2016 |
2022: Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts: 3. Experiments With Radar Reflectivity and Radial Velocity. Journal of Advances in Modeling Earth Systems, 14, 12, doi:doi.org/10.1029/2022MS003246.
, , , ,2022: 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. Earth and Space Science, 9, 12, doi:10.1029/2022EA002378.
, ,2021: Radar reflectivity data assimilation method based on background-dependent hydrometeor retrieval: The comparison with direct assimilation in real cases. Quarterly Journal of the Royal Meteorological Society, 147, 2409–2428, doi:10.1002/qj.4031.
, , , , , , ,2021: Assimilation of Polarimetric Radar Data in Simulation of a Supercell Storm with a Variational Approach and the WRF Model. Remote Sensing, 13, 3060, doi:10.3390/rs13163060.
, , , , , ,2021: Evaluation of an experimental Warn-on-Forecast 3DVAR analysis and forecast system on quasi-real-time short-term forecasts of high-impact weather events. Quarterly Journal of the Royal Meteorological Society, 147, 741, 4063–4082, doi:10.1002/qj.4168.
, , , , , , , , ,2021: The Impact of Assimilating Satellite-Derived Layered Precipitable Water, Cloud Water Path, and Radar Data on Short-Range Thunderstorm Forecasts. Monthly Weather Review, 149, 1359–1380, doi:10.1175/MWR-D-20-0040.1.
, , , , , ,2021: Parameterized Forward Operators for Simulation and Assimilation of Polarimetric Radar Data with Numerical Weather Predictions. Advances in Atmospheric Sciences, 38, 5, 737–754, doi:10.1007/s00376-021-0289-6.
, , ,2021: Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts: 1. Observing System Simulation Experiment (OSSE). Journal of Advances in Modeling Earth Systems, 13, 10, doi:10.1029/2021MS002484.
, , , ,2021: Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts: 2. Assimilation Experiments of GOES-16 Satellite Derived Winds. Journal of Advances in Modeling Earth Systems, 13, 10, doi:10.1029/2021MS002484.
, , , ,2019: Assimilation of Radar Radial Velocity, Reflectivity, and Pseudo–Water Vapor for Convective-Scale NWP in a Variational Framework. Monthly Weather Review, 147, 2877–2900, doi:10.1175/MWR-D-18-0403.1.
, , , , , , , ,2019: Test of a Weather-Adaptive Dual-Resolution Hybrid Warn-on-Forecast Analysis and Forecast System for Several Severe Weather Events. Weather and Forecasting, 34, 1807–1827, doi:10.1175/WAF-D-19-0071.1.
, , , , , , , ,2018: Assimilation of Radar Radial Velocity and Reflectivity, Satellite Cloud Water Path, and Total Precipitable Water for Convective-Scale NWP in OSSEs. Journal of Atmospheric and Oceanic Technology, 35, 67–89, doi:10.1175/JTECH-D-17-0081.1.
, , , , ,2017: Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept Experiments. Monthly Weather Review, 145, 5033–5057, doi:10.1175/MWR-D-17-0103.1.
, , , ,2016: 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. Monthly Weather Review, 144, 4373–4393, doi:10.1175/MWR-D-16-0053.1.
, , , , , ,2016: OSSEs for an Ensemble 3DVAR Data Assimilation System with Radar Observations of Convective Storms. Journal of the Atmospheric Sciences, 73, 2403–2426, doi:10.1175/JAS-D-15-0311.1.
, , , ,2015: Variational merged of hourly gauge-satellite precipitation in China: preliminary results. Journal of Geophysical Research, 120, 9897–9915, doi:10.1002/2015JD023710.
, , , , , , ,2014: 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. Monthly Weather Review, 142, 183–202, doi:10.1175/MWR-D-13-00142.1.
, , , , , ,2014: Some Observing System Simulation Experiments with a Hybrid 3DEnVAR System for Stormscale Radar Data Assimilation. Monthly Weather Review, 142, 3326–3346, doi:10.1175/MWR-D-14-00025.1.
, ,2013: Tornado path length forecasts from 2010-2011 using ensmble updraft helicity. Weather and Forecasting, 28, 387–407.
, , , , , , , ,2013: A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings. Weather and Forecasting, 28, 727–745, doi:10.1175/WAF-D-12-00093.1.
, , , , , , , , , , , ,2013: The development of a hybrid EnKF-3DVAR algorithm for storm-scale data assimilation. Advances in Meteorology, 2013, 1–12, doi:10.1155/2013/512656.
, , ,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, doi:10.1175/MWR-D-12-00193.1.
, , ,2013: Multi-Doppler radar analysis and forecast of a tornadic thunderstorm using a 3D variational data assimilation technique and ARPS model. Advances in Meteorology, 2013, 1–18, doi:10.1155/2013/281695.
, , , ,2012: Assimilation of Reflectivity Data in a Convective-Scale, Cycled 3DVAR Framework with Hydrometeor Classification. Journal of the Atmospheric Sciences, 69, 1054–1065.
, ,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, doi:10.1175/JTECH-D-11-00201.1.
, , ,2011: A Realtime Weather-Adaptive 3DVAR Analysis System with Automatic Storm Positioning and On-demand Capability. Extended Abstracts, 35th Conference on Radar Meteorology, Denver, CO, USA, AMS, 115.
, , , , , ,2010: Importance of Horizontally Inhomogeneous Environmental Initial Conditions to Ensemble Storm-Scale Radar Data Assimilation and Very Short-Range Forecasts. Monthly Weather Review, 138, 1250–1272, doi:10.1175/2009MWR3027.1
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