Sciences and Exploration Directorate

Brief Bio


I came to NASA Goddard as a co-op scientist in 2012, right after the completion of my 2-yr postdoc training at JPL. I joined the civil service in 2022. My research interests span across multitudes, from ice cloud/frozen hydrometeor remote sensing to atmospheric gravity waves, from boundary layer water vapor to lower atmosphere - ionosphere/thermosphere coupling. My current projects focus on (1) developing better frozen hydrometeor retrieval algorithms for next generation radiometers; (2) expanding machine learning techniques to better solve atmospheric science problems; (3) understanding lower-upper atmosphere coupling using satellite observations, model simulations and ML techniques. I completed my PhD and undergraduate training from Stony Brook University and Peking University, respectively. In my spare time, I love spending time with my two kids and husband at swimming pool, hiking, reading, watching movies and taking vacations around the world.

Research Interests


Frozen hydrometer remote sensing; Machine learning application in retrieval algorithm development; Gravity Waves; Coupling processes

Earth Science: Clouds

  • Frozen hydrometer microphysical property retrievals and radiative transfer;
  • Machine learning/artificial intelligence applications in cloud and precipitation remote sensing;
  • Cloud and precipitation coupling processes;
  • Atmospheric gravity waves; cloud-gravity wave interactions;
  • Troposphere-stratosphere exchanges through clouds and waves;
  • Lower-upper atmosphere coupling; sun-upper atmosphere coupling

Current Projects


AoS radiometer ice cloud algorithm


POLSIR ice cloud algorithm


ESA Ice Cloud Imager (ICI) International Collaborator on Research Product & Algorithm Development


National Eclipse Ballooning Project

Positions/Employment


Research AST

NASA Climate and Radiation Lab - NASA Goddard Space Flight Center

December 2022 - Present


Senior Research Scientist

UMBC/GESTAR-II - NASA Goddard Space Flight Center

December 2021 - November 2022


Senior Research Scientist & Group Lead

UMBC/GESTAR-II - NASA Goddard Space Flight Center

December 2021 - March 2022


Senior Scientist and Manager

GESTAR, Universities Space Research Association (USRA) - NASA Goddard Space Flight Center

October 2020 - November 2021


Senior Scientist

GESTAR, Universities Space Research Association (USRA) - NASA Goddard Space Flight Center

January 2020 - October 2020


Research Scientist II

GESTAR, Universities Space Research Association (USRA) - NASA Goddard Space Flight Center

July 2013 - December 2019


Research Scientist I

GESTAR, Universities Space Research Association (USRA) - NASA Goddard Space Flight Center

March 2012 - June 2013


Postdoc Scholar

California Institute of Technology - Jet Propulsion Lab, Pasadena, CA

February 2010 - March 2012


Education


Ph.D. in Atmospheric Sciences, Stony Brook University, Dec. 2009
B.S. in Atmospheric Sciences, Peking University, June 2005
B.S. (double-major) in Economics, Peking University, June 2005

Professional Service


Regular reviewer for J. Geophys. Res., Geophys. Res. Lett., Mon. Weather Rev., Atmos. Chem. Phys., Ann. Geophys., Atmos. Res., International J. of Remote Sensing, JASTP, etc.

Reviewer for NASA NPP, ROSES and SBIR, and NSF proposals

Panelist of NSF and NASA programs

 

Awards


Scientific Leadership Award, Climate and Radiation Lab, GSFC, February 2022

Special award for an act of exceptional merit, Climate and Radiation Lab, GSFC, January 2021

Editor's citation for excellence in refereeing, Geophys. Res. Lett., June 2020

Robert H. Goddard Award in Engineering as one IceCube team member, May 2019

Best Senior Author Paper Award from 610 AT (Earth Science Division: Atmospheres), GSFC, September 2017

Editor's citation for excellence in refereeing, J. Geophys. Res. - Atmosphere, March 2017

Best First-authored Paper Award from Climate and Radiation Lab, GSFC, January 2017

Editor's citation for excellence in refereeing, J. Geophys. Res. - Atmosphere, March 2016

GESTAR Mission Achievement Award, May 2013

Grants


Creating a NASA Data Oriented Transformer Framework for Next Generation Retrieval and Modeling

PI - IRAD - GSFC - Awarded: 2023-10-02


Dates:  - 


POLSIR (Polarized Submillimeter Ice-cloud Radiometer)

Co-I: EVI-6 - NASA ESTO - Awarded: 2023-05-22


Dates:  - 


Enhancing Ice Cloud Imager (ICI) ice cloud retrieval products and preparation for all-sky data assimilation of ICI observations in NASA GEOS

PI: USPI - NASA ROSES - Awarded: 2023-02-01


Dates: 2023-02-01  - 2028-01-31


Developing the NOAA Next Generation Hyperspectral Microwave Sensor (HyMS): Instrument Concept and Demonstration of Benefits for the NOAA mission

Co-I: NOAA BAA - NOAA - Awarded: 2022-10-01


Dates: 2023-01-01  - 2024-12-31


Atmospheric Radiative Transfer Simulator (ARTS) to support the Electrojet Zeeman Imaging Explorer (EZIE) mission

PI: HTM - NASA ROSES - Awarded: 2022-10-01


Dates: 2022-10-01  - 2024-09-30


A Prototype Machine learning-based all-sky radiance data assimilation framework at microwave and submillimeter frequencies in preparation for AOS and CoSSIR

Co-I: IRAD - NASA GSFC - Awarded: 2022-10-01


Dates:  - 


National Eclipse Ballooning Program 2022 - 2025

Co-I: SciACT - NASA - Awarded: 2021-09-07


Dates: 2022-05-02  - 2026-05-01


Data Analysis for Atmospheric Gravity Wave Radiosonde Field Campaign for Eclipse 2020

Co-I: Space Grant - NASA - Awarded: 2021-03-01


Dates: 2021-03-01  - 2021-11-30


Reconstructing the Floating Snow Diurnal Cycle and Ice Production Rate from Passive Microwave Measurements Using CloudSat-CALIPSO as the Baseline

PI: CloudSat/Calipso - NASA - Awarded: 2019-10-15


Dates: 2019-10-15  - 2023-03-01


Making IceCube Data Scientifically Usable to the Community: Calibration, Delivery and Analysis of IceCube Level 1 Data

PI: ROSES-RRNES - NASA - Awarded: 2019-08-16


Dates: 2019-08-16  - 2020-08-15


Investigation of Laminar Cirrus and its Roles in TTL Water Vapor

Co-I: ACMAP - NASA - Awarded: 2017-04-01


Dates:  - 


Use of CloudSat and CALIPSO Data to Improve Cloud Anvil Modeling

Co-I: CloudSat/Calipso - NASA - Awarded: 2016-07-01


Dates:  - 

Publications


Refereed

Xu, S., J. N. Carstens, J. A. France, et al. C. E. Randall, J. Yue, V. L. Harvey, J. Gong, J. Lumpe, L. Hoffmann, and J. M. Russell. 2023. Seasonal Distribution of Gravity Waves Near the Stratopause in 2019–2022 Earth and Space Science 11 (1): [10.1029/2023ea003076]

Wang, Y., J. Gong, D. L. Wu, and L. Ding. 2023. Toward Physics-informed Neural Networks for 3D Multi-layer Cloud Mask Reconstruction IEEE Transactions on Geoscience and Remote Sensing 1-1 [10.1109/tgrs.2023.3329649]

Ding, L., R. Corizzo, C. Bellinger, et al. N. Ching, S. Login, R. Yepez-Lopez, J. Gong, and D. L. Wu. 2022. Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data 2022 IEEE International Conference on Big Data (Big Data) [10.1109/bigdata55660.2022.10020783]

Das, S., Y. Wang, J. Gong, et al. L. Ding, S. J. Munchak, C. Wang, D. L. Wu, L. Liao, W. S. Olson, and D. O. Barahona. 2022. A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements Remote Sensing 14 (15): 3631 [10.3390/rs14153631]

Wu, D. L., J. Gong, and M. Ganeshan. 2022. GNSS-RO Deep Refraction Signals from Moist Marine Atmospheric Boundary Layer (MABL) Atmosphere 13 (6): 953 [10.3390/atmos13060953]

Zeng, X., A. J. Heymsfield, Z. Ulanowski, et al. R. R. Neely, X. Li, J. Gong, and D. L. Wu. 2022. The Radiative Effect on Cloud Microphysics from the Arctic to the Tropics Bulletin of the American Meteorological Society [10.1175/bams-d-21-0039.1]

Gong, J., D. L. Wu, and P. Eriksson. 2021. The first global 883 GHz cloud ice survey: IceCube Level 1 data calibration, processing and analysis Earth System Science Data [10.5194/essd-13-5369-2021]

Wu, D. L., D. E. Jennings, K.-K. Choi, et al. M. D. Jhabvala, J. A. Limbacher, T. Flatley, K.-M. Kim, A. T. La, R. J. Salawitch, L. D. Oman, J. Gong, T. R. Holmes, D. C. Morton, T. Hewagama, and R. J. Swap. 2021. Compact Thermal Imager (CTI) for Atmospheric Remote Sensing Remote Sensing 13 (22): 4578 [10.3390/rs13224578]

Turk, F. J., S. E. Ringerud, A. Camplani, et al. D. Casella, R. J. Chase, A. Ebtehaj, J. Gong, M. Kulie, G. Liu, L. Milani, G. Panegrossi, R. Padullés, J.-F. Rysman, P. Sanò, S. Vahedizade, and N. B. Wood. 2021. Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset Remote Sensing 13 (12): 2264 [10.3390/rs13122264]

Wang, T., D. L. Wu, J. Gong, and C. Wang. 2021. Long‐term observations of upper‐tropospheric cloud ice from the MLS Journal of Geophysical Research: Atmospheres [10.1029/2020jd034058]

Padulles, R., E. Cardellach, F. J. Turk, et al. C. O. Ao, M. de la Torre Juarez, J. Gong, and D. L. Wu. 2021. Sensing Horizontally Oriented Frozen Particles With Polarimetric Radio Occultations Aboard PAZ: Validation Using GMI Coincident Observations and Cloudsat a Priori Information IEEE Transactions on Geoscience and Remote Sensing 1-13 [10.1109/tgrs.2021.3065119]

Zeng, X., J. Gong, X. Li, and D. L. Wu. 2021. Modeling the Radiative Effect on Microphysics in Cirrus Clouds against Satellite Observations Journal of Geophysical Research: Atmospheres [10.1029/2020jd033923]

Gong, J., X. Zeng, D. L. Wu, et al. S. J. Munchak, X. Li, S. Kneifel, D. Ori, L. Liao, and D. Barahona. 2020. Linkage among Ice Crystal Microphysics, Mesoscale Dynamics and Cloud and Precipitation Structures Revealed by Collocated Microwave Radiometer and Multi-frequency Radar Observations Atmospheric Chemistry and Physics [10.5194/acp-20-12633-2020]

Wang, T., D. L. Wu, J. Gong, and V. Tsai. 2019. Tropopause Laminar Cirrus and Its Role in the Lower Stratosphere Total Water Budget Journal of Geophysical Research: Atmospheres 2018JD029845 [10.1029/2018jd029845]

L. Carr, J., D. L. Wu, M. A. Kelly, and J. Gong. 2018. MISR-GOES 3D Winds: Implications for Future LEO-GEO and LEO-LEO Winds Remote Sensing 10 (12): 1885 [10.3390/rs10121885]

Wu, D., T. Wang, T. Várnai, et al. J. Limbacher, R. Kahn, G. Taha, J. Lee, J. Gong, and T. Yuan. 2018. MISR Radiance Anomalies Induced by Stratospheric Volcanic Aerosols Remote Sensing 10 (12): 1875 [10.3390/rs10121875]

Gong, J., X. Zeng, D. L. Wu, and X. Li. 2017. Diurnal Variation of Tropical Ice Cloud Microphysics: Evidence from Global Precipitation Measurement Microwave Imager (GPM-GMI) Polarimetric Measurements Geophysical Research Letters [10.1002/2017gl075519]

Gong, J., and D. L. Wu. 2017. Microphysical Properties of Frozen Particles Inferred from Global Precipitation Measurement (GPM) Microwave Imager (GMI) Polarimetric Measurements Atmospheric Chemistry and Physics 17 2741-2757 [10.5194/acp-17-2741-2017]

Lu, X., C. Cao, W. Huang, et al. J. Smith, X. Chu, T. Yuan, D. Pautet, M. Taylor, J. Gong, and C. Cullens. 2015. A Coordinated Study of 1-h Mesoscale Gravity Waves Propagating from Logan to Boulder with CRRL Na Doppler Lidars and Temperature Mapper Journal of Geophysical Research - Atmosphere 120 (19): 10,006–10,021 [10.1002/2015JD023604]

Rong, P. P., J. Yue, J. M. Russell III, et al. J. D. Lumpe, J. Gong, D. L. Wu, and C. E. Randall. 2015. Horizontal winds derived from the polar mesospheric cloud images as observed by the CIPS instrument on the AIM satellite J. Geophys. Res. Atmos. 120 (11): 5564-5584 [10.1002/2014JD022813]

Gong, J., D. L. Wu, and V. Limpasuvan. 2015. Meridionally tilted ice cloud structures in the tropical Upper Troposphere as seen by CloudSat Atmos. Chem. Phys. 15 6271-6281 [10.5194/acp-15-6271-2015]

Gong, J., J. Yue, and D. L. Wu. 2015. Global survey of concentric gravity waves in AIRS images and ECMWF analysis J. Geophys. Res. Atmos 120 2210-2228 [10.1002/2014JD022527]

Gong, J., and D. Wu. 2014. CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183.3 GHz radiances Atmospheric Measurement Techniques 7 (6): 1873-1890 [10.5194/amt-7-1873-2014]

Wu, D., A. Lambert, W. G. Read, P. Eriksson, and J. Gong. 2014. MLS and CALIOP Cloud Ice Measurements in the Upper Troposphere: A Constraint from Microwave on Cloud Microphysics J. Appl. Meteor. Climatol. 53 (1): 157-165 [10.1175/JAMC-D-13-041.1]

Gong, J., and D. Wu. 2013. View-angle-dependent AIRS cloudiness and radiance variance: Analysis and interpretation J. Geophys. Res. Atmos. 118 (5): 2327-2339 [10.1002/jgrd.50120]

Choi, H.-J., H.-Y. Chun, J. Gong, and D. Wu. 2012. Comparison of gravity wave temperature variances from ray-based spectral parameterization of convective gravity wave drag with AIRS observations J. Geophys. Res. 117 (D5): D05115 [10.1029/2011JD016900]

Gong, J., D. Wu, and S. D. Eckermann. 2012. Gravity wave variances and propagation derived from AIRS radiances Atmos. Chem. Phys. 12 (4): 1701-1720 [10.5194/acp-12-1701-2012]

Gong, J., and D. Wu. 2011. View-angle dependent AIRS cloud radiances: Implications for tropical anvil structures Geophysical Research Letters 38 (14): L14802 [10.1029/2011GL047910]

Gong, J., and M. A. Geller. 2010. Vertical fluctuation energy in United States high vertical resolution radiosonde data as an indicator of convective gravity wave sources J. Geophys. Res. 115 (D11): D11110 [10.1029/2009JD012265]

Geller, M. A., and J. Gong. 2010. Gravity wave kinetic, potential, and vertical fluctuation energies as indicators of different frequency gravity waves J Geophys Res 115 (D11): D11111 [10.1029/2009JD012266]

Gong, J., M. A. Geller, and L. Wang. 2008. Source spectra information derived from U.S. high-resolution radiosonde data J. Geophys. Res. 113 (D10): D10106 [10.1029/2007JD009252]

Selected Public Outreach


GPM-GMI full-swath precipitation flag dataset

2014 - April 2014

For retrieval algorithm, please refer to: Das, S., Y. Wang, J. Gonget al. 2022. "A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements." Remote Sensing14 (15): 3631 [10.3390/rs14153631]

Note that in the paper, retrievals are only available over land, but we made it available globally later on and are included in these data files. Users are directed to read the "README" file for details on how to screen and use the data. Two plotting sample codes are provided in IDL and Python respectively.


IceCube Level 1 calibrated radiance dataset

July 2017 - October 2018

This is the calibrated IceCube Level-1 data download link. The project webpage is:

https://earth.gsfc.nasa.gov/climate/missions/icecube, and the reference publication is: Gong, J.D. L. Wu, and P. Eriksson. 2021. "The first global 883 GHz cloud ice survey: IceCube Level 1 data calibration, processing and analysis." Earth System Science Data, [10.5194/essd-13-5369-2021]