Shanghai Center for Satellite Remote Sensing Applications

Shanghai, China

Shanghai Center for Satellite Remote Sensing Applications

Shanghai, China
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Liu J.,CAS Institute of Remote Sensing Applications | Liu J.,University of Chinese Academy of Sciences | Liu J.,Shanghai Center for Satellite Remote Sensing Applications | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications | Chen B.,Shanghai Typhoon Institute of China Meteorological Administration
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2011

Data assimilation is important to the improvement of numerical weather prediction (NWP). Recently, much progress has been made in the direct assimilation of satellite radiance in NWP. In order to use radiance from the infrared channels of the visible and infrared radiometer (VIRR) on FY-3A, biases between the observed radiances and those simulated from model must be corrected. Using the radiosonde data as the input of rapid radiant transfer model CRTM, the simulation error of infrared channels observation of VIRR is analyzed. Based on the analytic results, a regional VIRR radiance bias correction scheme for FY-3A is developed by taking into account both instrument characteristics and observed bias for different types of ground objects in China. The preliminary test result is encouraging, and the scheme is expected to be used in the operational NWP data assimilation system in China. © 2011 IEEE.


Xu F.,CAS Shanghai Institute of Technical Physics | Xu F.,University of Chinese Academy of Sciences | Hu Y.,CAS Shanghai Institute of Technical Physics | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications | Yin D.,CAS Shanghai Institute of Technical Physics
Guangxue Xuebao/Acta Optica Sinica | Year: 2015

For the space-based ultraviolet (UV) detection system, quantitatively estimating the clutter radiance from the fluctuations of earth-atmospheric background is beneficial to effectively select the detecting channels (including middle-wavelength and spectral-range) in different scenes, and can improve the comprehensively detecting performance for the space target. Based on the space signal transfer, the space clutter radiance models in different scenes are established in the UV window of 290~400 nm. By means of the models, the main influence factors for the space background clutter radiance are analyzed. In the level of the possible target radiation characteristics and earth-atmospheric background clutter radiance, the detecting performance of system influenced by the clutter is effectively estimated. The results show that the middle-wavelength and spectral-range of detecting system should be 300 nm and 297~306 nm for clear sky, but 299 nm and 296~303 nm respevtively for the field of cirrus clouds. ©, 2015, Chinese Optical Society. All right reserved.


Ye R.,CAS Shanghai Institute of Technical Physics | Ye R.,University of Chinese Academy of Sciences | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications | Kuang D.-B.,CAS Shanghai Institute of Technical Physics | Hu Y.,CAS Shanghai Institute of Technical Physics
Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves | Year: 2011

A model of solar irradiation on sensors onboard the FY-4 geostationary satellite in the case of solar intrusion was proposed. Solar radiation and the angle of incidence of the sun light on arbitrary surface of satellite can be calculated at any given time. Considering structure of baffle, the solar radiation, angle of incidence and the solar intrusion duration on scanning mirror of atmosphere vertical sounder on any day of the year can be given. The changes in one year are also given. The simulation results are similar with the measured data of GOES-8 (Geostationary Operational Environmental Satellites), and proved the accury of the simulation data.


Hou W.,CAS Institute of Remote Sensing Applications | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications | Li Z.,CAS Institute of Remote Sensing Applications | Liu Y.,CAS Institute of Remote Sensing Applications
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2012

While the successive order of scattering (SOS) method is used to solve the radiative transfer equation, however, for the large optical depth with a high single scattering albeldo, the slow convergence will spend a lot of computing time. To speed up the convergence of SOS method, an improved semi-analytic model is developed and the two notes fitting method is used to get the ratio of two successive scattering radiances after the thirteenth scattering. The new semi-analytic model is accurate and efficient and makes the SOS method applicable for optically thick scattering media. With the improved semi-analytic model, the efficiency of the SOS method can be greatly improved. © 2012 IEEE.


Hou W.,CAS Institute of Remote Sensing Applications | Hou W.,Shanghai Center for Satellite Remote Sensing Applications | Hou W.,University of Chinese Academy of Sciences | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2011

The four-stream discrete ordinates method and the four-stream successive orders of scattering method are compared for the radiative flux calculations in this paper. With the Rayleigh scattering phase function and the Henyey-Greenstein phase function, the effects of the two four-stream method are investigated. The delta-M method is used to deal with the strong forward-peaked scattering and the 32-stream DISORT is used as the benchmark for assessments of the relative accuracy of the two methods. With the comparisons for the accuracy of flux, the two four-stream methods are roughly comparable in accuracy and the absorbing media lead to larger errors of flux compared with that of the non-absorbing case. © 2011 IEEE.


Hou W.,CAS Institute of Remote Sensing Applications | Hou W.,University of Chinese Academy of Sciences | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications | Xu H.,CAS Institute of Remote Sensing Applications | And 3 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2010

The two-stream discrete ordinates method and the two-stream successive orders of scattering method are compared, and the key features of two methods are discussed. Based on the convergence characteristics of successive scattering, we use a semi-empirical model to improve the computing efficiency in the SOS method. Using the delta-M method, we investigate the effect of the two two-stream method for non-absorbing and absorbing case respectively. The 32-stream DISORT is used as the benchmark for assessments of the relative accuracy of the two methods investigated. With the comparisons for the accuracy of flux, the results of the two two-stream methods are almost the same in general and the absorbing media lead to larger errors of flux compared with that of the non-absorbing case. © 2010 IEEE.


Luo S.,Shanghai Center for Satellite Remote Sensing Applications | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2015

In this paper, delta-M and delta-fit approximation methods for the scattering phase function in a radiative-transfer equation are reviewed. Radiance in different streams was calculated by a discrete-ordinate algorithm, and the single-variate factor method was used to investigate the influence of phase-function expansion terms on the scattering intensity. The radiance obtained by the delta-M and delta-fit methodologies was compared and discussed under different optical-depth conditions. The results show that, from the aspect of relative error, these two methods come close to standard intensity as optical depth increases, and the bias error of delta-fit is always smaller than that of delta-M for a fixed optical thickness. Delta-fit does well for all of optical depths, whereas delta-M is only good for thick optical depth. From the aspect of absolute error, delta-M is better than delta-fit under small optical depth, whereas the reverse is true when the optical depth is large. © 2015 SPIE.


Hou W.,CAS Institute of Remote Sensing Applications | Hou W.,University of Chinese Academy of Sciences | Hou W.,Shanghai Center for Satellite Remote Sensing Applications | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications
2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings | Year: 2011

The successive orders of scattering method is a useful means to solve the radiative transfer in the atmosphere. For the optically thick scattering media, a semi-empirical model can be used to speed up the convergence. In this paper, the key features of successive orders of scattering method are discussed, as well as the convergence properties of this method are studied. With the two-stream and four-stream approximation, the corresponding parameters' influence on the convergence of the ratio of two successive scattering radiances I n/I n-1 are analyzed, some function relations about the case of conservative and nonconservative scattering are also obtained. Base on the convergence property and those function relations, the semiempirical model can better applied to the successive orders of scattering method for the optically thick scattering media. © 2011 IEEE.


Yin P.,CAS Institute of Remote Sensing Applications | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications
2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings | Year: 2010

In order to perform the remote sensing models' collaborative retrieval through different medium and different bands, the deep relationship of Radiation Transfer Equation (RTE) in different medium should be understood in advance. Therefore, the author deduced the "classical RTE" on the basis of the radiation transfer theory, and then analyzed the hidden relationship among the RTE in the atmosphere, soil, and water body. The results reveal that the difference of different medium's RTE mostly derives from the mathematical descriptions about their optical properties, and that these equations have great relevance with each other. Due to this, the "classical RTE" is just like an inner "bridge" to link different equations together. © 2010 IEEE.


Liu J.,CAS Institute of Remote Sensing | Chen B.,Shanghai Typhoon Institute | Yin Q.,Shanghai Center for Satellite Remote Sensing Applications | Du M.,Shanghai Center for Satellite Remote Sensing Applications
2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings | Year: 2011

It is important for the improvement of numerical weather forecast accuracy to reseach the simulation error of rapid radiative transfer model. Using the radiosonde data as the input of rapid radiant transfer model CRTM, the simulation error of infrared channels observation of VIRR on FY-3A is analyzed. The distribution of model biases in radiance of three infrared channels are approximate normal ditribution, which means the the model simulation is consistent with obervation. And the simulation errors in different seasons, for different types of ground objects, in different climate zones and at different altitudes are discussed. © 2011 IEEE.

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