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Jonathan H. Jiang

Photo of Jonathan Jiang

Address:

4800 Oak Grove Drive
M/S 183-701

Pasadena, CA 91109

Phone:

818.354.7135

Fax:

818.393.5065

Curriculum Vitae:

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Member of:

Aerosols And Clouds

Group Supervisor, Senior Research Scientist

Education

  • B.Sc. Astrophysics, Beijing Normal University (1985)
  • M.Sc. Astrophysics, York University (1991)
  • Ph.D. Atmospheric Physics, York University (1996)

Professional Experience

  • Jet Propulsion Laboratory, California Institute of Technology (1999-present)
    • Senior Research Scientist (2023-present)
    • Supervisor, Aerosol and Cloud group (2015-present)
    • Principal Scientist (2015-present)
    • Research Scientist (2004-2014)
    • Scientist (2002-2003)
      • Current Active Projects:
        • NASA XRP: Principal Investigator (2019-present)
        • NASA TerraAquaNPP: Co-Investigator (2018-present)
        • NASA MAP: Co-Investigator (2017-present)
        • MISR (2016-present)
        • NASA IIP: Co-Investigator (2014-present)
        • Aura MLS (1999-present)
    • Present-elect, AGU Global Environmental Change (2022-present)
    • Chair, AMS Atmospheric Chemistry Committee (2020-2023)
    • Vice-Chair, AMS Atmospheric Chemistry Committee (2017-2019)
    • Chair, AGU Fall Meeting Atmospheric Science Program Committee (2017)
    • Chair, AMS Conference on Atmospheric Chemistry (2015-2020)
    • AGU Editor in Chief, Earth and Space Science Open Archive (2021-Present)
    • AGU Editor, Earth and Space Science (2014-present)
    • Project Scientist, UCLA-JPL Joint Institute for Regional Earth System Science and Engineering (2014-present)
  • Caltech Postdoctoral Scholar (1999-2001)
  • Research Associate, Université du Québec à Montréal, Canada (1997-1998)
  • Physics Lecturers, University of Waterloo, Canada (1996 and 1999); Trent University, Canada (1997-1998)
  • Postdoctoral Research Fellow, McGill University, Montreal, Canada (1996-1997)
  • Research Assistant, Centre for Research in Earth and Space Sciences, York University, Toronto, Canada (1991-1995)
  • Assistant Astronomer, Space Astrophysics Lab, Toronto, Canada (1989-1990)
  • Physics Lecturer, Nanking Institute of Technology (1985-1989)

Research Interests

  • Satellite remote sensing of aerosols, clouds, and trace gases
  • Satellite mission design, orbital simulation, and forward modeling
  • Climate modeling, analysis, and evaluation
  • Studies of pollution transport, aerosols, clouds, moisture, and their climate impacts using satellite observations
  • Astronomy and Astrophysics, studies on exoplanet, and space sciences

Selected Awards

  • AMS Scientific and Technological Activities Commission Outstanding Service Award (2024)
  • The Banner I. Miller Award (2023)
  • Fellow, American Meteorological Society (2023)
  • JPL Voyager Award (2022)
  • The Reuters List of World’s Top Climate Scientists (2020)
  • NASA Exceptional Scientific Achievement Medal (2019)
  • Ed Stone Award for Outstanding Research Paper (2019)
  • NASA Exceptional Achievement Medal (2013)
  • NASA Exceptional Achievement Medal (2010)
  • NASA TC4 Team Achievement Award (2008)
  • NASA Group Achievement Award for Aura MLS Team (2006)
  • Co-author, Ed Stone Award for Outstanding Research Paper (2006)
  • Space Act Award for Significant Contribution to National Space Program (2005)
  • NASA Group Achievement Award for the Aura Project (2005)
  • GSFC Group Achievement Award for the Aura Team (2005)
  • NASA Group Achievement Award for Aura Microwave Limb Sounder Ground Data System Development Team (2005)
  • Canadian NSERC Research Scholarship Award (1999)
  • AMS Global Change Scholarship Award (1996)

Selected Publications

From a total of 280+ peer-reviewed publications, H-Index 58, according to Web of Science

Earth/Atmospheric/Climate Sciences

  1. P. Vignesh, J.H. Jiang, P. Kishore, Predicting PM2.5 Concentrations Across USA Using Machine Learning, Earth and Space Science, Vol. 10, Issue 10, 2023..
  2. X. Jiang, H. Su, J.H. Jiang, J.Neelin, L. Wu, Y. Tsushima, G. Elsaesser, Muted extratropical low cloud seasonal cycle is closely linked to underestimated climate sensitivity in models, Nature Communications, 14, 5586, 2023.
  3. Patel, P., J.H. Jiang, R. Gautam, H. Gadhavi, O. Kalashnikova, M. Garay, L. Gao, F. Xu, A. Omar, Resolving Vertical Profile of Cloud Condensation Nuclei Concentrations from Spaceborne Lidar Measurements, Atmospheric Chemistry and Physics, in press, 2023.
  4. Ma, N., J.H. Jiang, K. Hou, Y. Lin, T. Vu, P. Rosen, Y. Gu, K. Fahy, 21st century global and regional surface temperature projections, Earth and Space Science, 9, doi:10.1029/2022EA002662, 2022.
  5. Johnson, K, J.H. Jiang, Q. Yue, K. Fahy, S. Palo, ENTICE Satellite Orbital Simulator to Study Ice Clouds, Earth and Space Science, doi:10.1029/2021EA002145, 2022.
  6. Jiang, J.H., H. Su, L. Wu, C. Zhai, K. Schiro, Improvements in cloud and water vapor simulations over the tropical oceans in CMIP6 compared to CMIP5, Earth and Space Science, 8, doi:10.1029/2020EA001520, 2021.
  7. Patel., P., J.H. Jiang, Cloud condensation nuclei characteristics at the Southern great Plains site: role of particle size distribution and aerosol hygroscopicity, Environ. Res. Commun, 3, 7, doi: 10.1088/2515-7620/ac0e0b, 2021.
  8. Jiang, J.H. et al., Simulation of remote sensing of clouds and humidity from space using a combined platform of radar and multi-frequency microwave radiometers, Earth and Space Science, 6, 7, doi:10.1029/2019EA000580, 2019.
  9. Kubar, T., J.H. Jiang, Net Cloud Thinning, Low-Level Cloud Diminishment, and Hadley Circulation Weakening of Precipitating Clouds with Tropical West Pacific SST, Remote Sensing, doi:10.3390/rs11101250, 2019.
  10. Jiang, J.H., H. Su, L. Huang, Y. Wang, S. Massie, B. Zhao, A. Omar, Z. Wang, Contrasting Effects on Deep Convective Clouds by Different Types of Aerosols, Nature Communications, 9, 3874, doi:10.1038/ s41467-018-06280-4, 2018.
  11. Jiang, J.H., et al., A Simulation of Ice Cloud Particle Size, Humidity and Temperature Measurements from the TWICE CubeSat, Earth and Space Science, 4, doi:10.1002/2017EA000296, 2017.
  12. Jiang, J.H., H. Su, C. Zhai, L. Wu, K. Minschwaner, A.M. Molod, and A.M. Tompkins, An assessment of upper-troposphere and lower-stratosphere water vapor in MERRA, MERRA2 and ECMWF reanalyses using Aura MLS observations, Journal of Geophysical Research: Atmospheres, doi:10.1002/2015JD023752, 120, 2015.
  13. Jiang, J.H. et al., Evaluating the diurnal cycle of upper tropospheric ice clouds in climate models using SMILES observations, Journal Atmospheric Science, 72, 1022–1044, doi:10.1175/JAS-D-14-0124.1, 2015.
  14. Zhai, A., J.H. Jiang, Dependency of U.S. Hurricane Economic Loss on Maximum Wind Speed and Storm Size, Environmental Research Letters, 9, 6, doi:10.1088/1748-9326/9/6/064019, 2014.
  15. Su, H., J.H. Jiang, Tropical Clouds and Circulation Changes During the 2006-07 and 2009-10 El Nino, Journal of Climate, 26, 2, doi:10.1175/JCLI-D-1200 152.1, 2013.
  16. Jiang, J.H., et al., Evaluation of Cloud and Water Vapor Simulations in CMIP5 Climate Models Using NASA A-Train Satellite Observations, J. Geophys. Res. 117, D1410, doi:0.1029/2011JD017237, 2012.
  17. Jiang, J.H., H. Su, C. Zhai, S.T. Massie, M.R. Schoeberl, P.R. Colarco, S. Platnick, Y. Gu, K.N. Liou, Influence of convection and aerosol pollution on ice cloud particle effective radius, Atmos. Chem. Phys. 11, 457-463, doi:10.5194/acp-11-457-2011, 2011.
  18. Jiang, J.H. et al., Five-year (2004-2009) Observations of Upper Tropospheric Water Vapor and Cloud Ice from MLS and Comparisons with GEOS-5 analyses, J. Geophys. Res. 115, D15103, doi:10.1029/2009JD013256, 2010.
  19. L'Ecuyer, T., J.H. Jiang, Touring the atmosphere aboard the A-Train, Physics Today, 63, 7, 36-41, 2010.
  20. Jiang, J.H., H. Su, S.T. Massie, P.R. Colarco, M.R. Schoeberl, and S. Platnick, Aerosol-CO relationship and aerosol effect on Ice cloud particle size: Analyses from Aura Microwave Limb Sounder and Aqua Moderate Resolution Imaging Spectroradiometer observations, J. Geophys. Res. 114, D20207, doi:10.1029/2009JD012421, 2009.
  21. Jiang, J.H., H. Su, M. Schoeberl, S.T. Massie, P. Colarco, S. Platnick, N.J. Livesey, Clean and polluted clouds: relationships among pollution, ice cloud and precipitation in South America, Geophys. Res. Lett., 35, L14804, doi:10.1029/2008GL034631, 2008.
  22. Jiang, J.H., N.J. Livesey, H. Su, L. Neary, J.C. McConnell, and N.A. Richards, Connecting surface emissions, convective uplifting, and long-range transport of carbon monoxide in the upper-troposphere: New observations from the Aura Microwave Limb Sounder, Geophys. Res. Lett., 34, L18812, doi:10.1029/2007GL030638, 2007.
  23. Jiang, J.H., S.D. Eckermann, D.L. Wu, and D.Y. Wang, Inter-annual variation of gravity waves in the Arctic and Antarctic winter middle atmosphere, Adv. Space Res., 38, 2006.
  24. Jiang, J.H., S.D. Eckermann, D.L. Wu, K.Hocke, B. Wang, Y. Zhang, Seasonal variation of gravity wave sources from satellite observation, Adv. Space. Res. 35, 1925-1932, 2005.
  25. Jiang, J.H., and D.L. Wu, Ice and Water Permittivities for Millimeter and Sub-millimeter Remote Sensing Applications, Atmos. Sci. Lett., 5, 146-151, 2004.
  26. Jiang, J.H., S.D. Eckermann, D.L. Wu, and J. Ma, A Search for Mountain Waves in MLS Stratospheric Limb Radiances from the Winter Northern Hemisphere: Data Analysis and Global Mountain Wave Modeling, J. Geophys. Res., Vol. 109, D3, D03107, doi:10.1029/ 2003JD003974, 2004.
  27. Jiang, J.H., B. Wang, K. Goya, K. Hocke, S.D. Eckermann, J. Ma, D.L. Wu, and W.G. Read, Geographical Distribution and Inter-Seasonal Variability of Tropical Deep-Convection: UARS MLS Observations and Analyses, J. Geophys. Res., Vol. 109, D3, D03111, doi:10.1029/ 2003JD003756, 2004.
  28. Jiang, J.H., et al, Comparison of GPS/SAC-C and MIPAS/ENVISAT Temperature Profiles and Its Possible Implementation for EOS MLS Observations, in CHAMP Mission Results for Gravity, Magnetic Field Mapping and GPS Atmospheric Sounding, C. Reigber, H. Luehr, P. Schwintzer, J. Wickert (eds.), Springer-Verlag, Berline/Heidelberg/New York, pp. 573-578, 2004.
  29. Jiang, J.H., D.L. Wu, S.D. Eckermann, and J. Ma, Mountain Waves in the Middle Atmosphere, Microwave Limb Sounder Observations and Analyses, Adv. Space Res., 32, 5, 801-806, 2003.
  30. Jiang, J.H., D.L. Wu, and S.D. Eckermann, Upper Atmosphere Research Satellite (UARS) MLS Observation of Mountain Waves over the Andes, J. Geophys. Res., 107, 8729, doi:10.1029/ 2002JD002091, 2002.
  31. Wu, D., J.H. Jiang, MLS Observations of Atmospheric Gravity Waves over Antarctica, J. Geophys. Res. 107, doi:10.1029/2002JD002390, 2002.
  32. Jiang, J.H. and D.L. Wu, UARS MLS Observations of Gravity Waves Associated with the Arctic Winter Stratospheric Vortex, Geophys. Res. Lett., 28, 527-530, 2001.
  33. Jiang, J.H. and D. Wu, Analysis of UARS MLS radiance variances and their relationship with stratospheric wind, Geosci. Remote Sens. Sym., 1, 213-215, doi:10.1109/IGARSS.2000.860471, 2000.

Astronomy/Astrophysics/Space Science

  1. Jiang, J.H., et al., Message in a Bottle—An Update to the Golden Record: 1. Objectives and Key Content of the Message, Earth and Space Science, Vol. 10, Issue 12, 2023.
  2. R. Chen, J.H. Jiang, P. Rosen, K. Fahy, Y. Chen, Exoplanets around Red Giants: Distribution and Habitability, Galaxies, 11, No. 6, 112, 2023. 
  3. X. Jiang, J.H. Jiang, R. Burn, Z. Zhu, Classify and Explore the Diversity of Planetary Population and Interior Properties, Astrophysical Journal, Vol. 957, No. 1, 2023.
  4. Jiang, J.H., A.M. Minion, S.F. Taylor, Life in the Cosmos: Paradox of Silence and Self-Awareness, in Cosmology - The Past, Present and Future of the Universe, IntechOpen, London, UK, Eds., K. Ho. Yeap and T. H. Chieh, doi: 10.5772/intechopen.1002241, 2023.
  5. Jiang, J.H., et al. Avoiding the "Great Filter": Extraterrestrial Life and Humanity's Future in the Universe, J. Human. Soc. Sci., 6(2), 59-66, 2023.
  6. Jiang, J.H., et al. Avoiding the Great Filter: A Simulation of Important Factors for Human Survival, J. Human. Soc. Sci., 6(1), 33-54, 2023.
  7. Jiang, J.H., F, Feng, P. Rosen, K. Fahy, P. Das, P. Obacz, A. Zhang, Z. Zhu, Avoiding the Great Filter: Predicting the Timeline for Humanity to Reach Kardashev Type I Civilization, Galaxies, 10(3), 68, 2022.
  8. Jiang, J.H., H. Li, M. Chong, Q. Jin,  P. Rosen,  X. Jiang, K. Fahy, S. Taylor,  Z. Kong, J. Hah, Z. Zhu, A Beacon in the Galaxy: Updated Arecibo Message for Potential FAST and SETI Projects, Galaxies, 10, 55, 2022.
  9. Jiang, J.H., R. Burn, K. Fahy, X. Ji, P. Eggenberger, Angular momentum distributions for observed and modeled exoplanetary systems, Astrophysical Journal, Vol. 924,  No. 118, 2022.
  10. Kong, Z., J.H. Jiang, R. Burn, K. Fahy, Z. Zhu, Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning, Astrophysical Journal, 929, 187, 2022.
  11. Li, J., J.H. Jiang, H. Yang, D.S. Abbot, R. Hu, T. Komacek, S. Bartlett, Y. Yung, Rotation Period Detection for Earth-like Exoplanets, Astronomical Journal, Vol.163, No. 27, 2022.
  12. Jiang, J.H., P. Rosen, K. Fahy, Avoiding the “Great Filter”: A Projected Timeframe for Human Expansion Off-World, Galaxies, 9, 53; doi:10.3390/galaxies9030053, 2021.
  13. Jiang, J.H., D. Zhao, X. Ji, B. Hu, Revisiting the Planet Mass and Stellar Metallicity Relation for Low-Mass Exoplanets Orbiting GKM Class Stars, Universe, 7, 88, doi:10.3390/universe 7040088, 2021.
  14. Cai, X., J.H. Jiang, K. Fahy, Y. Yung, A Statistical Estimation of the Occurrence of Extraterrestrial Intelligence in the Milky Way Galaxy, Galaxies, 9, 1, doi:10.3390/galaxies9010005 2021.
  15. Kong, Z., J.H. Jiang, Z. Zhu, K. Fahy, R. Burn, Analyzing the Stability of Non-coplanar Circum-binary Planets using Machine Learning, Astrophys. J., arXiv:2101.02316, 2021.
  16. Jiang, J.H., X. Ji, N. Cowan, R. Hu, Z. Zhu, Empirical Predictions for the Period Distribution of Planets to be Discovered by the Transiting Exoplanet Survey Satellite, Astronomical Journal, 158, 2, doi:10.3847/1538-3881/ab2a7a, 2019.
  17. Jiang, J.H. and S. Zhu, A Planetary Mass and Stellar Radius Relationship for Exoplanets Orbiting Red Giants, Res. Notes AAS, 2, 4, doi:10.3847/2515-5172/aae48c, 2018.
  18. Jiang, J.H. et al., Using Deep Space Climate Observatory Measurements to Study the Earth as An Exoplanet, Astronomical Journal, 156, doi:10.3847/1538-3881/aac6e2, 2018.
  19. Evans, N., J.H. Jiang, R.F. Garrison, R.O. Gray, T.G. Barners, III, and M.L. Frueh, HR 9053: A Lightly Reddened G Supergiant, J. Roy. Astron. Soc. Canada, Vol. 88, 1994.
  20. Evans, N., J.H. Jiang, C. McAlary, and H. Campins, Multifrequency comparison of Cepheids and nonvariable supergiants, Astronomical Journal, 106, 2, doi:10.1086/116678, 1993.

Commentaries

  1. S. Taylor, J.H. Jiang, N. Searra, P. Rosen, Reflecting on Our Present Self-Awareness of Not Having Found Any Life Beyond Earth, Earth and Space Science, Vol. 11, Issue 1, 10 January 2024
  2. Jiang, J.H., Remote Sensors See NO2 ‘Hot Spots’ from Offshore Oil Activity, Eos, 23 March 2023
  3. Jiang, J.H. and N. Violette, Earth and Space Science Open Archive Takes a Big Step Forward, Eos, 30 November 2022
  4. Jiang, J.H., When Less is More—The Moon Sheds Light on Clouds at Night, Eos, 12 April, 2022
  5. Jiang, J.H., Melting Layer Characteristics of Cyclones, Eos, 22 March, 2022
  6. Jiang, J.H., Polar Vortex Linked to Atmospheric Circulation at Daily Scale, Eos, 13 October, 2021
  7. Jiang, J.H., Temperature Extremes: Exploring the Global Outbreak, Eos, 27 September, 2021
  8. Jiang, J.H., Satellite Estimates for Hydroclimatic Extremes, Eos, 20 September, 2021.
  9. Jiang, J.H., Global Warming Intensifies Turbulence Over Northern Eurasia, Eos, 24 February, 2021.
  10. Jiang, J.H., Using Machine Learning to Detect and Estimate Global Snowfall, Eos, 2 December, 2020
  11. Jiang, J.H., Zero-valent Iron in the Oxidizing Atmosphere? Eos, 26 October, 2020
  12. Jiang, J.H., Ensemble Learning Estimates Terrestrial Water Storage Changes, Eos, 2 July, 2020.

For a complete list of publications, see https://scholar.google.com/citations?user=26NNgp8AAAAJ&hl=en