Prof. Li Guan Profile

Prof. Li Guan

at Nanjing Univ of Information Science & Technology

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 28 January 2009 Paper

Mie theory and its application in probe of cloud droplet

Lingbing Bu, Kunling Shan, Xingyou Huang, Li Guan

Proceedings Volume 7156, 71562R (2009) https://doi.org/10.1117/12.810876

KEYWORDS: Mie scattering, Clouds, Scattering, Laser scattering, Light scattering, Solids, Particles, Atmospheric particles, Semiconductor lasers, Sensors

Read Abstract +

Proceedings Article | 15 November 2007 Paper

Simulation of atmospheric profile retrieval sensitivity with cloud from hyperspectral infrared data

Li Guan, Hung Lung Huang

Proceedings Volume 6787, 678709 (2007) https://doi.org/10.1117/12.742702

KEYWORDS: Clouds, Infrared radiation, Atmospheric sensing, Humidity, Remote sensing, Atmospheric sciences, Algorithm development, Spectral resolution, Solids, Error analysis

Read Abstract +

Proceedings Article | 24 September 2007 Paper

Simulation of atmospheric profile retrieval from hyperspectral infrared data under cloudy condition

Li Guan, Hung Lung Huang

Proceedings Volume 6684, 66840I (2007) https://doi.org/10.1117/12.730804

KEYWORDS: Clouds, Infrared radiation, MODIS, Infrared imaging, Spectral resolution, Opacity, Humidity, Atmospheric sensing, Algorithm development, Computer simulations

Read Abstract +

SPIE Journal Paper | 1 July 2007

International MODIS and AIRS processing package: AIRS products and applications

Elisabeth Weisz, Allen Huang, Jun Li, Eva Borbas, Kevin Baggett, Pradeep Thapliyal, Li Guan

JARS, Vol. 1, Issue 01, 013519, (July 2007) https://doi.org/10.1117/12.10.1117/1.2766867

KEYWORDS: Humidity, Temperature metrology, Ozone, Skin, MODIS, Clouds, Databases, Error analysis, Infrared radiation, Solids

Read Abstract +

SPIE Journal Paper | 1 January 2007

Errata: International MODIS and AIRS processing package: AIRS products and applications

Elisabeth Weisz, Jun Li, Kevin Baggett, Hung-Lung Huang, Eva Borbas, Pradeep Thapliyal, Li Guan

JARS, Vol. 1, Issue 01, 010101, (January 2007) https://doi.org/10.1117/12.10.1117/1.2803347

Proceedings Article | 29 August 2005 Paper

Evaluation of cloud-cleared radiances for numerical weather prediction and cloud-contaminated sounding applications

Hung-Lung Huang, Jun Li, Kevin Baggett, William Smith, Li Guan

Proceedings Volume 5890, 589006 (2005) https://doi.org/10.1117/12.613027

KEYWORDS: Clouds, MODIS, Infrared radiation, Satellites, Data modeling, Sensors, Infrared imaging, Atmospheric modeling, Microwave radiation, Spatial resolution

Read Abstract +

The direct assimilation of satellite-measured infrared radiances into numerical weather prediction and cloud sounding applications is currently prohibited when these measurements include cloud radiative effects. The difficulty arises from the microphysical complexity of clouds and their radiative responses that are only now being adequately modeled for current and next generation satellite sensors. The parameterization of cloud properties to deliver much needed im-provements in speed and accuracy of forward radiative transfer models is still under development. Indirect use of cloud-contaminated radiances by way of cloud-cleared radiances has thus become the initial focus of efforts to improve the spatial density of useful satellite radiance measurements. This is particularly important for satellite sensors with relatively wide fields of view as the probability of entirely cloud-free observations can be surprisingly low. Two classes of cloud-cleared radiance retrieval approaches developed so far comprise the synergistic use of 1) collo-cated infrared and microwave measurements, and 2) collocated infrared imaging and sounding measurements. For example, AIRS/AMSU and AIRS/MODIS cloud-cleared algorithms are being demonstrated by NASA Earth Observing System and are to be adopted by NPP/NPOESS that have similar measurements available from the instrument suites CrIS/ATMS and CrIS/VIIRS. In this paper, the characteristics of these cloud-cleared radiances and their potential for numerical weather prediction and cloudy sounding applications are evaluated. Preliminary results have shown that these two approaches, though quite different in character, are both effective and complementary. Where microwave measurements are unavailable, the synergistic imaging/sounding approach to cloud-clearing is the only reliable indirect use of cloud-contaminated infrared measurements, as is the case for geostationary platforms due to the antenna requirements for a meteorologically useful microwave radiometer at 35,000 km.

Proceedings Article | 29 August 2005 Paper

Comparison of global AIRS/AMSU and AIRS/MODIS cloud-clearing performance

Guan Li, Hung-Lung Huang, Kevin Baggett, Jun Li

Proceedings Volume 5890, 58901D (2005) https://doi.org/10.1117/12.615510

KEYWORDS: MODIS, Clouds, Infrared imaging, Infrared radiation, Spatial resolution, Microwave radiation, Data modeling, Lithium, Remote sensing, Sensors

Read Abstract +

Proceedings Article | 30 December 2004 Paper

AIRS single-field-of-view cloud detection and cloud property retrieval

Li Guan, Hung-Lung Huang, Jun Li, Elisabeth Weisz, Kevin Baggett, James Davies, Wei Gao

Proceedings Volume 5652, (2004) https://doi.org/10.1117/12.578081

KEYWORDS: Clouds, MODIS, Data modeling, Spatial resolution, Yield improvement, Infrared radiation, Opacity, Lithium, Meteorological satellites, Information science

Read Abstract +