Linjiong Zhou

Professional Specialist

• Princeton University / Cooperative Institute for Modeling the Earth System (CIMES) 

• National Oceanic and Atmospheric Administration (NOAA) / Geophysical Fluid Dynamics Laboratory (GFDL) 

• Office 234, 201 Forrestal Road, Princeton, NJ 08540

• linjiong .at. princeton .dot. edu or linjiong.zhou .at. noaa .dot. gov

• +1-609-452-6555

Education

• 2015: Ph.D., Meteorology, University of Chinese Academy of Sciences, China

• 2010: B.Sc., Atmospheric Sciences, Sun Yat-Sen University, China

Academic Positions

• 2023-present: Professional Specialist, Princeton University, US

• 2017-2023: Associate Research Scholar, Princeton University, US

• 2015-2017: Postdoctoral Research Associate, Princeton University, US

• 2014-2015: Research Support Specialist, Stony Brook University, US

• 2010-2015: Graduate Research Assistant, University of Chinese Academy of Sciences, China

Research Interests

• Weather and Climate Modeling

• Dynamics and Physics Coupling

• Cloud Microphysics Parameterization

Research Projects

• 2022-present: NOAA Research Global-Nest Initiative [Homepage]

• 2017-present: Integrated Dynamics-Physics Coupling Framework [Presentation, Publication]

• 2016-present: DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) Project [Homepage, Publication]

• 2016-present: Different Models-Same Initial Conditions (DIMOSIC) Project [Publication]

• 2015-present: GFDL Cloud Microphysics (GFDL MP) Parameterization [TechNote, Publication]

• 2015-present: Finite-Volume Cubed-Sphere Dynamical Core (FV3) [Homepage]

• 2015-present: System for High-resolution Prediction on Earth-to-Local Domains (SHiELD) [Homepage, Publication]

• 2014-2015: Community Earth System Model-Finite-Volume Cubed-Sphere Dynamical Core (CESM-FV3) [Presentation]

• 2014-2015: Flexible Global Ocean-Atmospheric Land System Model-finite-volume version (FGOALS-f) [Homepage, Publication]

• 2010-2015: Finite-volume Atmospheric Model of the IAP/LASG (FAMIL) [Homepage, Publication]

Publications (Google Scholar)

2024

• Merlis, Timothy, et al., Linjiong Zhou, et al., 2024: Climate Sensitivity and Relative Humidity Changes in Global Storm-Resolving Model Simulations of Climate Change. Science Advances. 10, eadn5217. DOI: https://doi.org/10.1126/sciadv.adn5217

• Gao, Kun, et al., Linjiong Zhou, et al., 2024: A Flexible Tropical Cyclone Vortex Initialization Technique for GFDL SHiELD. Frontiers in Earth Science. 12:1396390. DOI: https://doi.org/10.3389/feart.2024.1396390

• Cheng, Kai-Yuan, Shian-Jiann Lin, Lucas Harris, and Linjiong Zhou, 2024: Supercells and Tornado-like Vortices in an Idealized Global Atmosphere Model. Earth Space Sci. 11, e2023EA003368. DOI: https://doi.org/10.1029/2023EA003368

• Lin, Meiyun, et al., Linjiong Zhou, 2024: The GFDL Variable-Resolution Global Chemistry-Climate Model for Research at the Nexus of US Climate and Air Quality Extremes. J. Adv. Model. Earth Syst. 16, e2023MS003984. DOI: https://doi.org/10.1029/2023MS003984

• Guendelman, Ilai, et al., Linjiong Zhou, et al., 2024: The Precipitation Response to Warming and CO$_2$ Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models. Geophys. Res. Lett., 51, e2023GL107008. DOI: https://doi.org/10.1029/2023GL107008

• Chen, Jan-Huey, et al., Linjiong Zhou, 2024: 2022-2023 Global-Nest Initiative Activity Summary: Recent Results and Future Plan. NOAA Technical Memorandum OAR GFDL, 2023-001. DOI: https://doi.org/10.25923/yx20-3k04

2023

• Bolot, Maximilien, et al., Linjiong Zhou, Stephan Fueglistaler, 2023: Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection. NPJ Clim. Atmos. Sci., 6, 209. DOI: https://doi.org/10.1038/s41612-023-00525-w

• Chen, Jie, et al., Linjiong Zhou, Matthew Morin, 2023: A New Framework for Evaluating Model Simulated Inland Tropical Cyclone Wind Fields. Geophys. Res. Lett. 50, e2023GL104587. DOI: https://doi.org/10.1029/2023GL104587

• Chen, Jan-Huey, Linjiong Zhou, et al., 2023: Tropical Cyclone Forecasts in the DIMOSIC Project -- Medium-Range Forecast Models with Common Initial Conditions. Earth Space Sci. 10, e2023EA002821. DOI: https://doi.org/10.1029/2023EA002821

• Gao, Kun, et al., Linjiong Zhou, Thomas Knutson, 2023: Regulating finescale resolved convection in high-resolution models for better hurricane track prediction. Geophys. Res. Lett. 50, e2023GL103329. DOI: https://doi.org/10.1029/2023GL103329

• Harris, Lucas, Linjiong Zhou, et al., 2023: A Global Survey of Rotating Convective Updrafts in the GFDL X-SHiELD 2021 Global Storm Resolving Model. J. Geophys. Res. - Atmos. 128, e2022JD037823. DOI: https://doi.org/10.1029/2022JD037823

• Bao, Qing, et al., Linjiong Zhou, et al., 2023: The Development of the Climate System Model FGOALS. Study of Subtropical Circulation, Asian Monsoon, and Tibet Plateau Dynamics, R. Ren, et al., Ed., China Meteorological Press, 25-43. (In Chinese)

2022

• Guo, Huan, et al., Linjiong Zhou, 2022: Performance of two-moment stratiform microphysics with prognostic precipitation in GFDL's CM4.0. J. Adv. Model. Earth Syst. 14, e2022MS003111. DOI: https://doi.org/10.1029/2022MS003111

• Zhou, Linjiong and Lucas Harris, 2022: Integrated Dynamics-Physics Coupling for Weather to Climate Models: GFDL SHiELD with In-Line Microphysics. Geophys. Res. Lett. 49, e2022GL100519. DOI: https://doi.org/10.1029/2022GL100519

• Zhou, Linjiong, Lucas Harris, and Jan-Huey Chen, 2022: The GFDL Cloud Microphysics Parameterization. NOAA Technical Memorandum OAR GFDL, 2022-002. DOI: https://doi.org/10.25923/pz3c-8b96

• Cheng, Kai-Yuan, et al., Linjiong Zhou, et al., 2022: Impact of Warmer Sea Surface Temperature on the Global Pattern of Intense Convection: Insight from a Global Storm Resolving Model. Geophys. Res. Lett. 49, e2022GL099796. DOI: https://doi.org/10.1029/2022GL099796

• Kaltenbaugh, Alex, et al., Linjiong Zhou, et al., 2022: Using GFDL C-SHiELD for the Prediction of Convective Storms during the 2021 Spring and Summer. NOAA Technical Memorandum OAR GFDL, 2022-001. DOI: https://doi.org/10.25923/ednx-rm34

• Zhou, Linjiong, Lucas Harris, Jan-Huey Chen, et el., 2022: Improving Global Weather Prediction in GFDL SHiELD through an Upgraded GFDL Cloud Microphysics Scheme. J. Adv. Model. Earth Syst. 14, e2021MS002971. DOI: https://doi.org/10.1029/2021MS002971

• Magnusson, Linus, et al., Linjiong Zhou, et al., 2022: Skill of medium-range forecast models using the same initial conditions. Bull. Amer. Meteor. Soc. 103, E2050-E2068. DOI: https://doi.org/10.1175/BAMS-D-21-0234.1

• Zhou, Linjiong, Morris Bender, et al., 2022: Evaluation of the Outstanding Track Performance of the GFDL SHiELD Global Model During the 2021 Atlantic Hurricane Season. Earth and Space Science Open Archive. DOI: https://doi.org/10.1002/essoar.10511219.1

• Jeevanjee, Nadir and Linjiong Zhou, 2022: On the resolution-dependence of cloud fraction in radiative-convective equilibrium. J. Adv. Model. Earth Syst.. 14, e2021MS002759. DOI: https://doi.org/10.1029/2021MS002759

2021

• Xiang, Baoqiang, et al., Linjiong Zhou, 2021: S2S Prediction in GFDL SPEAR: MJO Diversity and Teleconnections. Bull. Amer. Meteor. Soc.,  103, E463-E484. DOI: https://doi.org/10.1175/BAMS-D-21-0124.1

• Gao, Kun, Lucas Harris, Linjiong Zhou, et al., 2021: On the sensitivity of hurricane intensity and structure to horizontal tracer advection schemes in FV3. Journal of the Atmospheric Sciences, 78, 3007-3021. DOI: https://doi.org/10.1175/JAS-D-20-0331.1

• Harris, Lucas, et al., Linjiong Zhou, Jan-Huey Chen, 2021: A Scientific Description of the GFDL Finite-Volume Cubed-Sphere Dynamical Core. NOAA Technical Memorandum OAR GFDL, 2021-001. DOI: https://doi.org/10.25923/6nhs-5897

• Guo, Huan, et al., Linjiong Zhou, et al., 2021: Two-moment bulk cloud microphysics with prognostic precipitation in GFDL's Atmosphere Model AM4.0: configuration and performance. J. Adv. Model. Earth Syst., 13, e2020MS002453. DOI: https://doi.org/10.1029/2020MS002453

• Judt, Falko, et al., Linjiong Zhou, 2020: Tropical Cyclones in Global Storm-Resolving Models. J. Meteor. Soc. Japan, Ser. II, 99, 579-602. DOI: https://doi.org/10.2151/jmsj.2021-029

• Gallo, Burkely, et al., Linjiong Zhou, and Curtis Alexander, 2021: Exploring Convection-Allowing Model Evaluation Strategies for Severe Local Storms using the Finite-Volume Cubed-Sphere (FV3) Model Core. Weather Forecast, 36, 3-19. DOI: https://doi.org/10.1175/WAF-D-20-0090.1

2020

• Harris, Lucas, Linjiong Zhou, et al., 2020: GFDL SHiELD: A Unified System for Weather-to-Seasonal Prediction. J. Adv. Model. Earth Syst., 12, e2020MS002223. DOI: https://doi.org/10.1029/2020MS002223

• Harris, Lucas, Xi Chen, Linjiong Zhou, Jan-Huey Chen, 2020: The Nonhydrostatic Solver of the GFDL Finite-Volume Cubed-Sphere Dynamical Core. NOAA Technical Memorandum OAR GFDL, 2020-003. DOI: https://doi.org/10.25923/9wdt-4895

• Tong, Mingjing, Yanqiu Zhu, Linjiong Zhou, et al., 2020: Multiple Hydrometeors All-Sky Microwave Radiance Assimilation in FV3GFS. Mon. Wea. Rev., 148, 2971-2995. DOI: https://doi.org/10.1175/MWR-D-19-0231.1

• Harris, Lucas, Linjiong Zhou, et al. 2020: The GFDL Finite-Volume Cubed-Sphere Dynamical Core: Release 201912. NOAA Technical Memorandum OAR GFDL, 2020-001. DOI: https://doi.org/10.25923/7h88-c534

2019

• Stevens, Bjorn, et al., Linjiong Zhou, 2019: DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains. Progress in Earth and Planetary Science, 6, 61. DOI: https://doi.org/10.1186/s40645-019-0304-z

• Sun, Ruiyu, et al., Linjiong Zhou, Xiaqiong Zhou, 2019: Interactions between GFDL Cloud Microphysics and RRTMG Radiation in NCEP FV3GFS. Research Activities in Atmospheric and Oceanic Modelling (WGNE Blue Book). URL: http://bluebook.meteoinfo.ru/uploads/2019/docs/06_Sun_Ruiyu_CloudMicrophysics.pdf

• Chen, Jan-Huey, Shian-Jiann Lin, Linjiong Zhou, et al., 2019: Evaluation of Tropical Cyclone Forecasts in the Next Generation Global Prediction System. Mon. Wea. Rev., 147, 3409-3428. DOI: https://doi.org/10.1175/MWR-D-18-0227.1

• Harris, Lucas, et al., Linjiong Zhou, et al., 2019: Explicit prediction of continental convection in a skillful variable-resolution global model. J. Adv. Model. Earth Syst., 11, 1847-1869. DOI: https://doi.org/10.1029/2018MS001542

• He, Bian, et al., Linjiong Zhou, et al., 2019: CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation. Adv. Atmos. Sci., 36, 771-778. DOI: https://doi.org/10.1007/s00376-019-9027-8

• Wang, Lei, et al., Linjiong Zhou, et al., 2019: LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics. Adv. Atmos. Sci., 36, 697-710. DOI: https://doi.org/10.1007/s00376-019-8196-9

• Zhou, Linjiong, Shian-Jiann Lin, Jan-Huey Chen, et al., 2019: Toward Convective-Scale Prediction within the Next Generation Global Prediction System. Bull. Amer. Meteor. Soc., 100, 1225-1243. DOI: https://doi.org/10.1175/BAMS-D-17-0246.1

• Magnusson, Linus, et al., Linjiong Zhou, and Xi Chen, 2019: Dependence on initial conditions versus model formulations for medium-range forecast error variations. Q. J. R. Meteorol. Soc., 145, 2085-2100. DOI: https://doi.org/10.1002/qj.3545

• Chen, Jan-Huey, et al., Linjiong Zhou, et al., 2019: Advancements in Hurricane Prediction With NOAA's Next-Generation Forecast System. Geophys. Res. Lett., 46, 4495-4501. DOI: https://doi.org/10.1029/2019GL082410

2018

• Chen, Jan-Huey, et al., Linjiong Zhou, et al., 2018: Tropical Cyclones in GFDL fvGFS – Impacts of Dycore, Physics, and Initial Conditions. 33rd Conference on Hurricanes and Tropical Meteorology, AMS, Ponte Vedra, Florida. 16-20 April. URL: https://ams.confex.com/ams/33HURRICANE/webprogram/Manuscript/Paper339827/9B.4_extended_abstract.pdf

• Liu, Ping, et al., Linjiong Zhou, et al., 2018: Climatology of tracked persistent maxima of 500-hPa geopotential height. Clim. Dyn., 51, 701-717. DOI: https://doi.org/10.1007/s00382-017-3950-0

2016

• Wang, Yuwei, et al., Linjiong Zhou, Yongyun Hu, 2016: Effects of obliquity on the habitability of exoplanets around M dwarfs. Journal Letter Astrophysical, 823, L20. DOI: https://doi.org/10.3847/2041-8205/823/1/l20

• Lin, Shian-Jiann, et al., Linjiong Zhou, 2016: A brief overview of the FV 3 dynamical core. Next Generation Global Prediction System Dynamical Core Evaluation, Documentation. URL: https://www.weather.gov/media/sti/nggps/20160127_FV3_Overview_Description.pdf

2015

• Zhou, Linjiong, Minghua Zhang, Qing Bao, et al., 2015: On the Incident Solar Radiation in Some CMIP5 Models. Geophys. Res. Lett., 42, 1930-1935. DOI: https://doi.org/10.1002/2015GL063239

• Zhou, Linjiong, Qing Bao, Yimin Liu, et al., 2015: Global Energy and Water Balance: Characteristics from Finite-volume Atmospheric Model of the IAP/LASG (FAMIL1). J. Adv. Model. Earth Syst., 7, 1-20. DOI: https://doi.org/10.1002/2014MS000349

2014

• Zhou, Linjiong, Qing Bao, and Haiyang Yu, 2014: High-Resolution FAMIL. Flexible Global Ocean-Atmosphere-Land System Model, T. Zhou, et al., Ed., Springer Berlin Heidelberg, 339-349. DOI: https://doi.org/10.1007/978-3-642-41801-3_40

• Bao, Qing, et al., Linjiong Zhou, 2014: FGOALS-s2 Brief. Flexible Global Ocean-Atmosphere-Land System Model, T. Zhou, et al., Ed., Springer Berlin Heidelberg, 33-37. DOI: https://doi.org/10.1007/978-3-642-41801-3_5

• Yu, Haiyang, Qing Bao, Linjiong Zhou, et al., 2014: Sensitivity of Precipitation in Aqua-planet Experiments of an AGCM. Oceanic Sci. Lett., 7, 1-6. DOI: https://doi.org/10.3878/j.issn.1674-2834.13.0033

2013

• Bao, Qing, et al., Linjiong Zhou, 2013: The Flexible Global Ocean-Atmosphere-Land System Model Version: FGOALS-s2. Adv. Atmos. Sci., 30, 543-560. DOI: https://doi.org/10.1007/s00376-012-2113-9

2012

• Zhou, Linjiong, Yimin Liu, Qing Bao, et al., 2012: Computational Performance of the High-Resolution Atmospheric Model FAMIL. Oceanic Sci. Lett., 5, 355-359. DOI: https://doi.org/10.1080/16742834.2012.11447024

• Liu, Yimin, et al., Linjiong Zhou, 2012: Revisiting Asian Monsoon Formation and Change Associated with Tibetan Plateau Forcing: II. Change. Climate Dynam., 39, 1183-1195. DOI: https://doi.org/10.1007/s00382-012-1335-y

2011

• Dai, Yifeng, Yimin Liu, and Linjiong Zhou, 2011: Observation analysis of urbanization effect on surface air temperature trends in East China. Journal of the Meteorological Sciences, 31, 365-371. (in Chinese) URL: http://www.cqvip.com/qk/96342x/20114/39269247.html

Talks and Posters

2024

• “Integrated physics, cloud prediciton, and convection in SHiELD”, Round-table Discussion with Japanese Scientists, GFDL, Princeton, New Jersey, USA. Talk. (February 9th, 2024)

2023

• “Major Updates in SHiELD Model”, The 2023 Global-Nested Modeling Initiative Annual Meeting, GFDL, Virtual Meeting. Talk. (September 12th, 2023)

• “Advances in GFDL Microphysics for Cross-Scale Predictions”, The 1st Annual UFS Physics Workshop, Virtual Meeting. Talk. (May 17th, 2023)

• “Advances in GFDL Microphysics for Cross-Scale Predictions”, UFS S2S AT All-Hands, Virtual Meeting. Talk. (May 12th, 2023)

• “An Integrated Coupling Framework for Atmospheric Dynamics and Physics”, EGU General Assembly 2023, Vienna, Austria. Talk. (April 24th, 2023)

2022

• “Impact of Cloud Microphysics Parameterization on Weather Prediction: Particle Size Distribution and Aerosol”, AGU Fall Meeting, Virtual Meeting. Poster. (December 12th, 2022)

• “GFDL SHiELD Development-Update of Cloud Microphysics Parameterization and Dynamics-Physics Coupling”, GFDL Lunchtime Seminar, Virtual Meeting. Talk. (July 13th, 2022)

• “Integrated Dynamics-Physics Coupling in GFDL SHiELD”, 2022 Physics-Dynamics Coupling Workshop, Princeton, New Jersey. Talk. (June 1st, 2022)

“GFDL SHiELD: A unified system for weather-to-seasonal prediction”, Princeton University CIMES Review, Virtual Meeting. Talk. (May 17th, 2022)

2021

• “GFDL Cloud Microphysics for SHiELD Seamless Prediction” and “Dynamics-Physics Coupling in SHiELD”, GSL/GFDL Summit, Virtual Meeting. Talk. (November 11th, 2021)

• “The New GFDL Cloud Microphysics Parameterization”, NCEP/EMC Model Physics Bi-weekly Seminar, Virtual Meeting. Talk. (July 1st, 2021)

• “The New GFDL Cloud Microphysics Parameterization”, GFDL Cross-division Meeting, Virtual Meeting. Talk. (June 10th, 2021)

• “The Inline Microphysics in GFDL SHiELD”, 2021 Physics-Dynamics Coupling Discussion Coffee, Virtual Workshop. Talk. (June 8th, 2021)

• “The GFDL Cloud Microphysics”, 2021 IAP/LASG Modeling Winter School, Virtual Workshop. Talk. (January 26th, 2021)

• “A Brief Introduction to the Finite-Volume Cubed-Sphere Dynamical Core (FV3)”, 2021 IAP/LASG Modeling Winter School, Virtual Workshop. Talk. (January 24th, 2021)

2020

• “FV3-Physics Coupling”, 2020 UFS MRW Application Training, Virtual Workshop. Talk. (November 5th, 2020)

• “Weather to Seasonal Predictions at GFDL”, 2020 LASG Annual Meeting on Modeling, Beijing. Talk. (October 23rd, 2020)

• “Development and Performance of the GFDL Global Prediction System - SHiELD”, 2020 AMS Annual Meeting, Boston, Massachusetts. Poster. (January 14th, 2020)

2019

• “On the Incident Solar Radiation in CMIP5 Model”, Gordon Research Conference, Lewiston, Maine. Poster. (July 22th, 2019)

• “Global to Convective-scale Prediction in the FV3- based Global Atmosphere Prediction System”, GFDL Lunchtime Seminar, Princeton, New Jersey. Talk. (May 22nd, 2019)

2018

• “Enabling and Improving Convective-Scale Predictions Using the 4-45km Variable-Resolution Global Model: fvGFS”, 2018 AOGS Annual Meeting, Honolulu, Hawaii, Talk. (June 6th, 2018)

2017

• “Scientific Verification/Validation Methodology at GFDL”, 2017 NEMS FV3GFS Community Modeling System Training and Tutorial, Princeton, New Jersey. Talk. (July 19th, 2017)

• “Improve Ten-Day Weather Forecast Using Stretched Grid and a Single-Moment Six-Class Cloud Microphysics”, 2017 CESM Workshop, Boulder, Colorado. Poster. (June 19th, 2017)

• “GFDL Single-Moment Six-Class Cloud Microphysics and Its Application in NGGPS”, 2017 GFDL Winter Expo, Princeton, New Jersey. Poster. (February 1st, 2017)

• “Ten-day Weather Forecasts using a 4-45 km Variable-resolution Global Model: fvGFS”, 2017 AMS Annual Meeting, Seattle, Washington. Talk. (January 24th, 2017)

2015

• “On the Incident Solar Radiation in Some CMIP5 Models”, Modeling aerosols, monsoon and climate: Collaborative research, Beijing. Poster. (April 13th, 2015)

• “Implementation of a Finite-volume Cubed-sphere Dynamical Core into CAM”, CESM Atmospheric Model Working Group Meeting, Boulder, Colorado. Talk. (February 18th, 2015)

• “On the Incident Solar Radiation in Some CMIP5 Models”, CESM Atmospheric Model Working Group Meeting, Boulder, Colorado. Talk. (February 18th, 2015)

2014

• “Implementing Hydrostatic FV3 into IAP/LASG Climate Model”, Geophysical Fluid Dynamics Laboratory Seminar, Princeton, New Jersey. Talk. (August 18th, 2014)

2013

• “Development and Application of LASG GCM with CLR Two-moment Cloud Microphysics Scheme”, Cloud and Aerosol Research Laboratory Seminar, Taipei, Taiwan. Talk. (November 12th, 2013)

• “Development of F/SAMIL with CLR Cloud Microphysics Scheme”, Research Center for Environmental Changes Seminar, Taipei, Taiwan. Talk. (October 18th, 2013)

2012

• “Development of IAP/LASG High Resolution Atmospheric Model FAMIL”, No. 11 LASG Climate System Model Development Seminar, Zhuhai, Guangdong. Poster. (November 25th, 2012)

• “Computational Performance of the High-resolution Atmospheric Model SAMIL3”, 2012 LASG Summer Symposium: Climate Variability and Changes, Xi’ning, Gansu. Poster. (July 3rd, 2012)

Honors and Awards

• 2023: 2023 OAR Team Members of the Year -- Personal and Professional Excellence

• 2021: NOAA Oceanic & Atmospheric Research Certificate of Commendation

• 2021: Progress in Earth and Planetary Science -- The Most Cited Paper Award 2021

• 2020: Progress in Earth and Planetary Science -- The Most Downloaded Paper Award 2020

• 2020: 2020 Esteemed Data Description Paper Prize of Advances in Atmospheric Sciences

• 2018: NOAA Administrator’s Award to the FV3 team

• 2015: 2015 Esteemed Paper Prize of Advances in Atmospheric Sciences

• 2012: Excellent Students Award of the University of Chinese Academy of Sciences

Certificated Trainings

• Advances in Cloud Physics, Cloud Seeding and Aerosol-Cloud-Precipitation Interactions, Beijing Normal University, China

• Python Essential Training, LinkedIn Learning

• Machine Learning, Coursera

• Deep Learning, Coursera