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.
Jie Gong
(RSCH AST, CLIMATE AND RADIATION STD)
Email: | jie.gong@nasa.gov |
Phone: | 301.614.6154 |
Org Code: | 613 |
Address: |
NASA/GSFC Mail Code 613 Greenbelt, MD 20771 |
Employer: |
Brief Bio
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
PI - AIST - NASA ESTO - Awarded: 2025-03-15
Dates: -
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
2024. "Remote Sensing of Ice Cloud Properties With Millimeter and Submillimeter-Wave Polarimetry." IEEE Journal of Microwaves 1-11 [10.1109/jmw.2024.3487758] [Journal Article/Letter]
2023. "Seasonal Distribution of Gravity Waves Near the Stratopause in 2019–2022." Earth and Space Science 11 (1): [10.1029/2023ea003076] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Proceedings]
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] [Journal Article/Letter]
2022. "GNSS-RO Deep Refraction Signals from Moist Marine Atmospheric Boundary Layer (MABL)." Atmosphere 13 (6): 953 [10.3390/atmos13060953] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
2021. "Compact Thermal Imager (CTI) for Atmospheric Remote Sensing." Remote Sensing 13 (22): 4578 [10.3390/rs13224578] [Journal Article/Letter]
2021. "Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset." Remote Sensing 13 (12): 2264 [10.3390/rs13122264] [Journal Article/Letter]
2021. "Long‐term observations of upper‐tropospheric cloud ice from the MLS." Journal of Geophysical Research: Atmospheres [10.1029/2020jd034058] [Journal Article/Letter]
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] [Journal Article/Letter]
2021. "Modeling the Radiative Effect on Microphysics in Cirrus Clouds against Satellite Observations." Journal of Geophysical Research: Atmospheres [10.1029/2020jd033923] [Journal Article/Letter]
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] [Journal Article/Letter]
2019. "Tropopause Laminar Cirrus and Its Role in the Lower Stratosphere Total Water Budget." Journal of Geophysical Research: Atmospheres 2018JD029845 [10.1029/2018jd029845] [Journal Article/Letter]
2018. "MISR-GOES 3D Winds: Implications for Future LEO-GEO and LEO-LEO Winds." Remote Sensing 10 (12): 1885 [10.3390/rs10121885] [Journal Article/Letter]
2018. "MISR Radiance Anomalies Induced by Stratospheric Volcanic Aerosols." Remote Sensing 10 (12): 1875 [10.3390/rs10121875] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
2015. "Global survey of concentric gravity waves in AIRS images and ECMWF analysis." J. Geophys. Res. Atmos 120 2210-2228 [10.1002/2014JD022527] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
2013. "View-angle-dependent AIRS cloudiness and radiance variance: Analysis and interpretation." J. Geophys. Res. Atmos. 118 (5): 2327-2339 [10.1002/jgrd.50120] [Journal Article/Letter]
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] [Journal Article/Letter]
2012. "Gravity wave variances and propagation derived from AIRS radiances." Atmos. Chem. Phys. 12 (4): 1701-1720 [10.5194/acp-12-1701-2012] [Journal Article/Letter]
2011. "View-angle dependent AIRS cloud radiances: Implications for tropical anvil structures." Geophysical Research Letters 38 (14): L14802 [10.1029/2011GL047910] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
2008. "Source spectra information derived from U.S. high-resolution radiosonde data." J. Geophys. Res. 113 (D10): D10106 [10.1029/2007JD009252] [Journal Article/Letter]
Non-Refereed
2024. "SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery ." arxiv > computer science > computer vision and pattern recognition [10.48550/arXiv.2411.17000] [Journal Article/Letter]
Selected Public Outreach
GPM-GMI full-swath precipitation flag dataset
2014 - April 2014
For retrieval algorithm, please refer to: Das, S., Y. Wang, J. Gong, et al. 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]
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]
GNSS deep SNR retrievals of marine atmosphere boundary layer (MABL) specific humidity
February 2012 - April 2020
This is the link to the GNSS deep-SNR based marine boundary layer specific humidity retrieval data product that we developed using a novel ML method. The associated paper draft for reference is:
Gong, J., Wu, D. L., Badalov, M., Ganeshan, M., and Zheng, M.: A Machine-learning Based Marine Planetary Boundary Layer (MPBL) Moisture Profile Retrieval Product from GNSS-RO Deep Refraction Signals, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-973, 2024.
NOTE: This paper is under revision for AMT. Please refer to the final publication for the most accurate details. The final paper link and doi will be updated in the top of the above egusphere publication.