Data processing algorithms of the space-borne lidar CALIOP: a review

Dong, 刘东 Liu; Qun, 刘群 Liu; Jian, 白剑 Bai; Yupeng, 张与鹏 Zhang

doi:10.3788/irla201746.1202001

Cited by 4 publications

(3 citation statements)

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“…Compared with atmospheric lidar which has used many algorithms, the algorithm of layer recognition and classification based on oceanic lidar data is developed slowly. The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) unique algorithm is capable of obtaining aerosol profiles, layers, and vertical feature mask (VFM) products [10]. However, there is no similar method for oceanic lidar data processing at present.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

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Estimation of the Seawater Lidar Ratio by MODIS: Spatial–Temporal Characteristics and Ecological Significance

Zhu

Zhao

et al. 2023

Remote Sensing

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The lidar ratio of seawater is an essential quantity related to both lidar retrieval and water constituent. However, few studies discuss its spatial–temporal characteristics and ecological significance, which limits its applications in lidar remote sensing and marine science. This paper investigates the spatial–temporal characteristics and ecological significance of the lidar ratio of seawater using satellite passive remote sensing, which is validated by in situ measurements. Spatially, nearshore lidar ratio values are higher than offshore, mainly owing to the high concentration of colored dissolved organic matter in nearshore water. Temporally, the lidar ratio in each hemisphere exhibits lower values in summer than in winter due to the annual boom–bust cycle of phytoplankton. Furthermore, the variability patterns of the lidar ratio are nearly consistent with those of the chlorophyll-to-carbon ratio, implying the high ecological significance of phytoplankton physiology. These findings will provide the foundation for the application of lidar ratio in marine science and lidar remote sensing.

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Section: Conclusion and Discussionmentioning

confidence: 99%

“…The lidar ratio has been extensively investigated and successfully applied in the atmosphere, such as in classifying atmospheric layers and offering layer information for lidar retrieval [10,11]. The research on the lidar ratio in the ocean is in its early stages.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Seawater Lidar Ratio by MODIS: Spatial–Temporal Characteristics and Ecological Significance

Zhu

Zhao

et al. 2023

Remote Sensing

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“…When the imaginary part of the m and Im(m) are lower than [20], the upward iteration method is more efficient than the downward iteration method, and the calculation error is guaranteed to be less than . The recurrence formula can be used to obtain…”

Section: Parameter Estimation Nmentioning

confidence: 99%

Extinction coefficients of surface atmospheric aerosol above LHAASO *

Huang

Zhu

et al. 2019

Chinese Phys. C

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We investigate the extinction coefficients of the surface atmospheric aerosol over the Large High Altitude Air Shower Observatory (LHAASO), located at the Haizi Mountain, Daocheng County, China. To this end, we utilize the Longtin model, Mie scattering theory, and experimental data obtained by the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). Our theoretical calculations show that the total extinction coefficients of the atmospheric aerosol at the wavelength of 200–500 nm are inversely proportional to the laser wavelength, and influenced by the wind speed. From July 2015 to October 2016, the extinction coefficient of the surface atmospheric aerosols at 532 nm wavelength reached 0.04 km−1 with no wind, while it increased to 0.1 km−1 with gusts. In this period, the extinction coefficients of the surface atmospheric aerosol at 532 nm wavelength, obtained by the CALIPSO, change from 0.01 to 0.07 km−1, which is less than the values obtained the theoretical calculation and larger than the average of Tibetan Plateau in 2006−2016. These calculations and experimental evidence provide important arguments to the model of atmospheric aerosol to be applied in the calibration of LHAASO. Our results suggest that the extinction coefficients over LHAASO require further study, including research on the size distribution, shape, concentration of aerosols particles, wind dependence, relative humidity dependence, etc.

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