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 Aerosols And Clouds (329J): People
Jui-lin (Frank) Li's Picture
Address:
Jet Propulsion Laboratory
M/S 233-300
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.393.5543
Fax:
818.354.5148
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Curriculum Vitae:

Jui-lin (Frank) Li

Dr. Jui-Lin (Frank) Li has extensive experience in global/regional coupled climate modeling and model physical parameterizations with emphasis on boundary layer, clouds, convection and radiation as well as utilizing new and emerging satellite data sets to study weather and climate to advance our model simulation and future climate projection.


Education
  • Ph.D., Atmospheric and Oceanic Sciences, University of Wisconsin-Madison (1994)
  • M.S. & B.S , Atmospheric Sciences, National Taiwan University, Taiwan(1985, 1982)

Research Interests
  • Clouds, convection,precipitation, radiation, aerosol and their related interactions
  • Global climate modeling
  • Model physical parameterizations
  • Model and data comparison

Professional Experience
  • Scientist, JPL/Caltech (2006-Present)
  • Visiting Associate Researcher/JIFRESSE at UCLA (2010-Present))
  • Senior Scientific programmer, JPL/NASA, SkillStorm Inc. (2004-2006)
  • Senior Scientific programmer, NASA at GSFC, STG Inc. (2000-2004)
  • Research Associate, University of California, Los Angeles (1994-2000)

Selected Awards

 

  • JPL Discovery Award, 2016
  • JPL Mariner Award; "cutting edge research" JPL Global Climate Change. (2009)
  • JPL Lump Sum Award. (2008)
  • Top-ten list of NASA Aura MLS Mission Research Awards. (2007)
  • JPL Group Award. (2006)

Selected Publications
Peer-Reviewed Publications Year 2018:
  1. Li, J.-L. F., Richardson, M., Lee, W.-L., Hong, Y., Jiang, J., Fetzer, E., Stephens, G., Wang, Y.-H., Yu, J.-Y., and Liu, Y.: Potential faster Arctic sea ice retreat triggered by snowflakes' greenhouse effect, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-195, in review, (2018).
  2. Li, J-L.F., Seungwon Lee, Hsi-Yen Ma, G. Stephens, and Bin Guan, (2018), Assessment of the Cloud Liquid Water from Climate Models and Reanalyses using Satellite Observations, Terrestrial Atmospheric and Oceanic Sciences, TAO, DOI: 10.3319/TAO.2018.07.04.01.
  3. Li, J.-L. F., E. Suhas, Wei-Liang Lee , Mark Richardson, Yi-Hui Wang, Jia-Yuh Yu, Tong Lee1, Eric Fetzer, Graeme Stephens (2018), The Impacts of Bias in Cloud-Radiation-Dynamics Interactions on Central-Pacific El Nino Simulations in Contemporary GCMs, ESS, DOI: 10.1002/2017EA000304.
  4. Chen, Chao-An, J.-L. F. Li, Mark Richardson, Wei-Liang Lee, Eric Fetzer, G. Stephens, Huang-Hsiung Hsu, Yi-Hui Wang, Jia-Yuh Yu (2018), Falling snow radiative effects enhance the global warming response of the Tropical Pacific atmosphere, JGR-atmos. https://doi.org/10.1029/2018JD028655.
  5. Min Deng, Gerald G. Mace, Zhien Wang, J.-L. F. Li, and Yali Luo, (2018), Partitioning Ice Water Content from Retrievals and Its Application in Model Comparison, JAS, https://doi.org/10.1175/JAS-D-17-0017.1.
  6. Gregory Cesana; Duane E Waliser; Tristan S L'Ecuyer; Xianan Jiang; J.-L. F Li, (2018), How Clouds Affect The Vertical Structure Of Radiative Heating Rates: A Multi-Model Evaluation Using A-Train Satellite Observations, under review submitted to Journal of Climate.
Year 2017 (3):
  1. Li, J.-L. F., Y. Hong, Wei-Liang Lee , Mark Richardson, Yi-Hui Wang, Jia-Yuh Yu, Tong Lee1, Eric Fetzer, Yinghui Liu, Graeme Stephens (2017), Improved simulation of Antarctic sea ice due to the radiative effects of falling snow, Environmental Research Letters 12(8) · August 2017 DOI: 10.1088/1748-9326/aa7a17.
  2. Cesana, G., D.E. Waliser, T. L'Ecuyer, X. Jiang, and J.-L. Li, 2017: Evaluation of radiative heating rate profiles in eight GCMs using A-train satellite observations. In Radiation Processes in the Atmosphere and Ocean (IRS2016): Proceedings of the International Radiation Symposium (IRC/IAMAS), 16-22 April 2016, Auckland, New Zealand, AIP Conference Proceedings, vol. 1810, pp. 070001, doi:10.1063/1.4975522.
  3. Fadnavis, S., Kalita, G., Kumar, K. R., Gasparini, B., and Li, J.-L. F.: Potential impact of carbonaceous aerosol on the upper troposphere and lower stratosphere (UTLS) and precipitation during Asian summer monsoon in a global model simulation, Atmos. Chem. Phys., 17, 11637-11654, https://doi.org/10.5194/acp-17-11637-2017, (2017).
Year 2016 (7):
  1. Li, J.-L. F., Wei-Liang Lee, Duane Waliser, Jia-Yuh Yu, Xianan Jiang, Tristan L'Ecuyer, Terry Kubar, Eric Fetzer, (2016), The Impacts of Cloud Snow Radiative Effects on Pacific Radiative Heating Profile in Contemporary GCMs using A-Train observations, JGR, DOI: 10.1002/2015JD023587.
  2. Li, J.-L. F., Wei-Liang Lee, Yi-Hui Wang, Mark Richardson, Jia-Yuh Yu, E. Suhas, Eric Fetzer, Min-Hui Lo, Qing Yue, (2016), Assessing the Radiative Impacts of Precipitating Clouds on Winter Surface Air Temperatures and Land Surface Properties in GCMs Using Observations, J. Geophys. Res. Atmos., 121, 11,536-11,555, doi:10.1002/2016JD025175.
  3. Li, J.-L. F., Y.-H. Wang, T. Lee, D. Waliser, W.-L. Lee, J.-Y. Yu, Y.-C. Chen, E. Fetzer, and A. Hasson (2016), The impacts of precipitating cloud radiative effects on ocean surface evaporation, precipitation, and ocean salinity in coupled GCM simulations, J. Geophys. Res. Atmos., 121, doi:10.1002/2016JD024911.
  4. Li, J.-L. F., W.-L. Lee, J.-Y. Yu, G. Hulley, E. Fetzer, Y.-C. Chen, and Y.-H. Wang (2016), The impacts of precipitating hydrometeors radiative effects on land surface temperature in contemporary GCMs using satellite observations, J. Geophys. Res. Atmos., 120, doi:10.1002/2015JD023776.
  5. Li, J.-L. F., D. E. Waliser, G. Stephens, S. W. Lee, (2016), Characterizing and understanding cloud ice and radiation budgets in global climate models and reanalysis, AMS monograph Attribute to Late Professor Michio Yanai, DOI: http://dx.doi.org/10.1175/AMSMONOGRAPHS-D-15-0007.1.
  6. Shen, B.-W., S. Cheung, J.-L. F. Li, and Y.-L. Wu, S. S. Shen, (2016): Multiscale Processes of Hurricane Sandy (2012) as Revealed by the Parallel Ensemble Empirical Mode Decomposition and Advanced Visualization Technology. Submitted to Advances in Adaptive Data Analysis, Vol. 8, No. 2 (2016) 1650005 (22 pages). World Scientific Publishing Company. DOI: 10.1142/S2424922X16500054.
  7. Hong, Yulan, Guosheng Liu, and J.-L. F. Li. (2016), Assessing the Radiative Effects of Global Ice Clouds Based on CloudSat and CALIPSO Measurements, DOI: http://dx.doi.org/10.1175/JCLI-D-15-0799.1.
Year 2015 (6):
  1. Chern, J.-D., Tao, W.-K., Lang, S. E., Matsui, T., Li, J.-L. F., Mohr, K. I., Skofronick-Jackson, G. M. and Peters-Lidard, C. D. (2015), Performance of the Goddard multiscale modeling framework with Goddard ice microphysical schemes. J. Adv. Model. Earth Syst.. doi:10.1002/2015MS000469.
  2. Li, J.-L. F., W.-L. Lee, Tong Lee, Eric Fetzer, Jia-Yuh Yu, (2015), The Impacts of Cloud Snow Radiative Effects on Pacific Oceans Surface Heat Fluxes, Surface Wind Stress, and Ocean Temperatures in Coupled GCM Simulations, J. Geophys. Res. Atmos., DOI: 10.1002/2014JD022538.
  3. Cesana, G., D. E. Waliser, X. Jiang, and J.-L. F. Li (2015), Multi-model evaluation of cloud phase transition using satellite and reanalysis data, J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022932.
  4. Shaoyue Qiu, Xiquan Dong, Baike Xi, J.-L. F. Li, (2015), Characterizing Arctic mixed-phase cloud structure and its relationship with humidity and temperature inversion using ARM NSA Observations, JGR, DOI: 10.1002/2014JD023022.
  5. Stephens G., D. Obrien, P. J. Webster, P. Pilewski, S. Kato, J-L F. Li, 2015, The Albedo of Earth, Reviews of Geophysics, DOI: 10.1002/2014RG000449.
  6. Wu, L-T and J.-L.-F. Li et al, (2015), An observationally-based evaluation of WRF regional climate simulations over the Central and Eastern Pacific, JGR, DOI: 10.1002/2015JD023561.
Year 2014 (4):
  1. Zhang, Chengzhu, Minghuai Wang, Hugh Morrison, Richard C. J. Somerville, Kai Zhang, Xiaohong Liu, J.-L. F. Li, (2014), Investigating Ice Nucleation in Cirrus Clouds with an Aerosol-enabled Multi-scale Modeling Framework JAMES, DOI: 10.1002/2014MS000343.
  2. Li, J.-L. F., W.-L. Lee, D. E. Waliser, Justin P. Stachnik, Eric Fetzer, Sun Won, Qing Yue, (2014), Characterizing Tropical Pacific Water Vapor and Radiative Biases in CMIP5 GCMs: Observationally-Based Analyses and A Snow and Radiation Interaction Sensitivity Experiment, J. Geophys. Res. Atmos., DOI: 10.1002/2014JD021924.
  3. Li, J.-L. F., R. M. Forbes, D. E. Waliser, G. Stephens, S. W. Lee, (2014), Characterizing impacts of precipitating snow hydrometeors in the radiation using the ECMWF IFS global model, J. Geophys. Res. Atmos., 119, doi:10.1002/2014JD021450.
  4. Li, J.-L. F., W.-L. Lee, D. E. Waliser, J. David Neelin, Justin P. Stachnik, Tong Lee, 2014, Cloud-Precipitation-Radiation-Dynamics Interaction in Global Climate Models: A Snow and Radiation Interaction Sensitivity Experiment, J. Geophys. Res. Atmos., DOI: 10.1002/2013JD021038.
Year 2013 (7):
  1. Li, J.-L. F., D. E. Waliser, G. Stephens, S. Lee, T. L'Ecuyer, S. Kato, N. Loeb, and H.-Y. Ma (2013), Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis, J. Geophys. Res. Atmos., 118, doi:10.1002/jgrd.50378.
  2. Shen, Bo-Wen, Samson Chueng, J-L F. Li, 2013, Analyzing Tropical Waves using the Parallel Ensemble Empirical Model Decomposition (PEEMD) Method: Preliminary Results with Hurricane Sandy (2012), ESTO Showcase 2013.
  3. Shen, B.-W., M. DeMaria, J.-L. F. Li, and S. Cheung (2013), Genesis of Hurricane Sandy (2012) simulated with a global mesoscale model, Geophys. Res. Lett., 40, 4944-4950, doi:10.1002/grl.50934.
  4. Guan, B., D. E. Waliser, J.-L. F. Li, and A. da Silva (2013), Evaluating the impact of orbital sampling on satellite-climate model comparisons, J. Geophys. Res., doi:10.1029/2012JD018590.
  5. Lee, Tong , Duane E. Waliser, J.-L. F. Li, and Michelle M. Gierach, (2013), Evaluation of CMIP3 and CMIP5 Wind Stress Climatology Using Satellite Measurements and Atmospheric Reanalysis Products, Journal of Climate, J. Climate, 26, 5810-5826. doi: http://dx.doi.org/10.1175/JCLI-D-12-00591.1.
  6. Xian-Nan Jiang, Eric D. Maloney, J.-L. F. Li, and Duane E. Waliser, (2013), Simulations of the Eastern North Pacific Intraseasonal Variability in CMIP5 GCMs, Accepted, Journal Climate. , 26, 3489-3510. doi: http://dx.doi.org/10.1175/JCLI-D-12-00526.1
  7. Ao, C. O., D. E. Waliser, S. K. Chan, J.-L. F. Li, B. Tian, F. Xie, and A. J. Mannucci (2013), Planetary boundary layer heights from GPS radio occultation refractivity and humidity profiles, J. Geophys. Res., 117, D16117, doi:10.1029/2012JD017598.
Year 2012 (6):
  1. Duane E. Waliser, Bin Guan, Jui-Lin F. Li, et al, (2012), Addendum to "Simulating cold season snowpack: Impacts of snow albedo and multi-layer snow physics": Waliser, D., Jet al. (2011), Climatic Change, 109 (Suppl 1):S95-S117, DOI 10.1007/s10584-011-0312-5.
  2. Kubar, Terence L., Duane E. Waliser, J.-L. Li, et al, 2012: On the Annual Cycle, Variability, and Correlations of Oceanic Low-Topped Clouds with Large-Scale Circulation Using Aqua MODIS and ERA-Interim. J. Climate, 25, 6152-6174. doi: http://dx.doi.org/10.1175/JCLI-D-11-00478.1
  3. Li, J.-L. F., D. E. Waliser, W.-T. Chen, B. Guan, T. Kubar, G. Stephens, H-Y Ma, D. Ming, L. Donner, C. Seman, and L. Horowitz, (2012), An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data, J. Geophys. Res., doi:10.1029/2012JD017640.
  4. Ma, H.-Y.,M. Köhler, J.-L. F. Li, et al., (2012), Evaluation of an ice cloud parameterization based on a dynamical-microphysical lifetime concept using CloudSat observations and the ERA-Interim reanalysis, J. Geophys. Res., 117, D05210, doi:10.1029/2011JD016275.
  5. Song, Xiaoliang, Guang J. Zhang, J.-L. F. Li, 2012: Evaluation of Microphysics Parameterization for Convective Clouds in the NCAR Community Atmosphere Model CAM5. J. Climate, 25, 8568-8590. doi: http://dx.doi.org/10.1175/JCLI-D-11-00563.1
  6. Stephens G., J-L F. Li, et al: An update on Earth's energy balance in light of the latest global observations, Nature, DOI:10.1038.
Year 2011 (9):
  1. Chen, W.-T. Chen, C. P. Woods, J.-L. F. Li, D. E. Waliser, et al., 2011, Partitioning CloudSat Ice Water Content for Comparison with Upper-Tropospheric Ice in Global Atmospheric Models, J. Geophys. Res.,doi:10.1029/2010JD015179.
  2. Lee, J., Worden, J., Noone, D., Bowman, K., Eldering, A., LeGrande, A., Li, J.-L. F., Schmidt, G., and Sodemann, H.: Relating tropical ocean clouds to moist processes using water vapor isotope measurements, Atmos. Chem. Phys., 11, 741-752, doi:10.5194/acp-11-741-2011, 2011.
  3. Kubar, Terence L., Duane E. Waliser, J-L. F. Li, 2011: Boundary Layer and Cloud Structure Controls on Tropical Low Cloud Cover Using A-Train Satellite Data and ECMWF Analyses, J. Climate, 24, 194-215. doi: 10.1175/2010JCLI3702.1.
  4. Li, J.-L. F., D. E. Waliser, and J. H. Jiang (2011), Correction to "Comparisons of satellites liquid water estimates to ECMWF and GMAO analyses, 20th century IPCC AR4 climate simulations, and GCM simulations", Geophys. Res. Lett., 38, L24807, doi:10.1029/2011GL049956.
  5. Teixeira, J, et al., and J-L F. Li, 2011:Tropical and sub-tropical cloud transitions in weather and climate prediction models: the GCSS/WGNE Pacific Cross-section Intercomparison (GPCI), J. Geophys. Res., doi: 10.1175/2011JCLI3672.1.
  6. Waliser, D. E., J.-L. F. Li, T. S. L'Ecuyer, and W.-T. Chen, 2011: The impact of precipitating ice and snow on the radiation balance in global climate models, Geophys. Res. Lett., 38, L06802, doi:10.1029/2010GL046478.
  7. Wang, C. C., H. L. Huang, J.-L. F. Li, T. M. Leou, and G. T. J. Chen, 2011: An evaluation of the performance of the CWB NFS model for warm-season rainfall distribution and propagation over the East Asian continent, Terr. Atmos. Ocean. Sci., 22, 49-69, doi: 10.3319/TAO.2010.07.13.01(A)
  8. H.-Y. Ma, C. R. Mechoso, Y. Xue, H. Xiao, C.-M. Wu, J.-L. Li, F. Sales, (2011), Impact of land surface processes on the South American warm season climate, Climate DynamicsJuly 2011, Volume 37, Issue 1, pp 187-203
  9. Jiang, X., D. E. Waliser, J.-L. F. Li, and C. P. Woods, 2011: Vertical Cloud Water Structures of the Boreal Summer Intraseasonal Variability Based on CloudSat Observations and ERA-I, Climate Dynamics, DOI 10.1007/s00382-010-0853-8.

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