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 Cloud (supported by WordClouds)
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]
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. Accepted.
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
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