The Center for Atmospheric Sciences | » Jia Su

Jia Su

• Assistant Research professor (Lidar remote sensing), Hampton University (2008-Present)
• PhD in atmospheric temperature measurement using rotational Raman lidar, Chinese Academy of Sciences (2004-2007)
• M.S. atmospheric and environmental optics, Chinese Academy of Sciences (2001-2004)
• BS in Department of Computer Informational Management, Anhui University (1997-2001)

Dr. Jia Su is in charge of the instrument development and operations of the HU 48-inch lidar facility. He also leads all of the routine data analysis for the lidar data. Dr. Su is on some key projects, primarily focusing on developing a Raman-elastic scattering lidar for air quality and climate-relevant atmospheric composition measurement (aerosol, cloud , water vapor, temperature and carbon dioxide) ; establishing the inversion algorithms of deriving atmospheric properties and variability;  validating the NASA satellite-borne lidar-CALIPSO measurements with the ground-based facilities; analyzing the aerosol-cloud optical properties and their interaction; and coordinating lidar network observations in the east US as a coordinator at the Hampton University (HU), which were supported and monitored by the PIRT project funded by US Army Research, Development and Engineering Command (AQC) and Center for Cooperative Remote Sensing Sciences and Technology (CREST) of Oceanic and Atmospheric Administration (NOAA). Dr. Su is also assisting graduate students in these developments.

Selected Publications:

1. Jia Su, Yonghua Wu, M. Patrick McCormick, Liqiao Lei and Robert B. Lee III, “Improved method to retrieve aerosol optical properties combined elastic-backscatter and Raman lidar data”, Applied Physics B, 2013, 10.1007/s00340-013-5648-2.
2. Jia Su, Zhaoyan Liu, Yonghua Wu, M. Patrick McCormick, Liqiao Lei, “Retrieval of multi-wavelength aerosol lidar ratio profiles using Raman scattering and Mie backscattering signals”, Atmospheric Environment. 79, 36-40, 2013.
3. Jia Su, M. Patrick McCormick and Liqiao Lei, “A new method to retrieve aerosol extinction coefficients from elastic-Raman lidar data.” Proceedings of the SPIE, Volume 8731, id. 87310J 6. (2013).
4. Liqiao Lei, M. Patrick McCormick and Jia Su, “Planetary boundary layer detection with fractal dimension of three-wavelength lidar signals.” Proceedings of the SPIE, Volume 8731, id.873112 6. (2013).
5. Jia. Su, M. Patrick McCormick, Yonghua Wu, Robert B. Lee III, Liqiao Lei, Zhaoyan Liu and Kevin. R. Leavor, “Cloud temperature measurement using rotational Raman Lidar “, Journal of Quantitative Spectroscopy & Radiative Transfer, 125, 45-50, 2013.
6. Jia Su, M. Patrick McCormick, Zhaoyan Liu, Robert B. Lee, Kevin R. Leavor, and Liqiao Lei,”Transmittance ratio constrained retrieval technique for lidar cirrus measurements”, Optics Letters, Vol. 37 (2012)
7.Jia Su, M. Patrick McCormick, Zhaoyan Liu, Kevin H. Leavor, Robert B. Lee III, Jasper Lewis, and Michael T. Hill1, Obtaining Ground-based Lidar Geometrical Form Factor Using Coincident Spaceborne Lidar Measurements, Applied Optics,Vol.49, (2010)
8.Zongming Tao, Zhaoyan Liu, Dong Wu, M. Patrick McCormick, and Jia Su, “Determination of aerosol extinction-to-backscatter ratios from simultaneous ground-based and spaceborne lidar measurements,” Optics. Letters. Vol.33, (2008)
9. Su Jia, Zhang Yin Chao, Zhao Yue Feng, Liu Yu Li, Hong Guang Lie, Optic design of
double grating monochromator of a pure rotational Raman‐lidar, CHINESE JOURNAL
OF LASERS. Vol.33(12),(2006)

Project: Lidar remote sensing of cloud formation caused by low-level jets

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The East Hampton Roads Aerosol Flux (EHRAF) measurement campaign was sponsored by the US Army Research Office and conducted 19-22 May 2014 on the campus of HU in Southeastern Virginia (40.822ºN, 73.949ºW) by Dr. Jia Su from HU’s Center for Atmospheric Science, Mr. Melvin Felton from US Army Research Laboratory’s (ARL’s) Battlefield Environment Division, and Dr. Ruben Delgado from […]

Project: Cloud temperature measured using Rotational Raman Lidar

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Insufficient suppression of the elastic-scattering signal in the rotational Raman (RR) detection channels can result in the large error of retrieval particularly when the temperature of thick cloud is measured using a RR lidar. A technique is introduced to obtain two RR channels’ relative transmissions for elastic backscatter signals and thereby correct the influence of […]

Project: Building a scanning Lidar

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A small scanning lidar is building for lower tropospheric research.  The scanning system will provide us 3-D information on the lower troposphere constituents and PBL. Additionally, the 14-inch lidar’s potential can monitor local regional air quality .

Project: Planetary boundary layer (PBL) height detect by fractal dimension (FD) of three-wavelength lidar signals

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Planetary Boundary Layer (PBL) is the important link between the earth’s surface and the free atmosphere. Determination of the PBL heights and the PBL structure is very important for understanding the dynamic of the PBL. The three-wavelength lidar signals can be used to calculate fractal dimension (FD). The the signal of fractal dimension could be […]