The Experts below are selected from a list of 255 Experts worldwide ranked by ideXlab platform
Faquan Li - One of the best experts on this subject based on the ideXlab platform.
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a combined rotational raman rayleigh lidar for Atmospheric Temperature measurements over 5 80 km with self calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30–40 km) data obtained from this combined RR–Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR–Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
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A Combined Rotational Raman–Rayleigh Lidar for Atmospheric Temperature Measurements Over 5–80 km With Self-Calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30-40 km) data obtained from this combined RR-Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR-Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
Yajuan Li - One of the best experts on this subject based on the ideXlab platform.
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a combined rotational raman rayleigh lidar for Atmospheric Temperature measurements over 5 80 km with self calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30–40 km) data obtained from this combined RR–Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR–Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
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A Combined Rotational Raman–Rayleigh Lidar for Atmospheric Temperature Measurements Over 5–80 km With Self-Calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30-40 km) data obtained from this combined RR-Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR-Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
Shunsheng Gong - One of the best experts on this subject based on the ideXlab platform.
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a combined rotational raman rayleigh lidar for Atmospheric Temperature measurements over 5 80 km with self calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30–40 km) data obtained from this combined RR–Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR–Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
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A Combined Rotational Raman–Rayleigh Lidar for Atmospheric Temperature Measurements Over 5–80 km With Self-Calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30-40 km) data obtained from this combined RR-Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR-Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
Jun Xiong - One of the best experts on this subject based on the ideXlab platform.
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a combined rotational raman rayleigh lidar for Atmospheric Temperature measurements over 5 80 km with self calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30–40 km) data obtained from this combined RR–Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR–Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
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A Combined Rotational Raman–Rayleigh Lidar for Atmospheric Temperature Measurements Over 5–80 km With Self-Calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30-40 km) data obtained from this combined RR-Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR-Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
Zhenwei Chen - One of the best experts on this subject based on the ideXlab platform.
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a combined rotational raman rayleigh lidar for Atmospheric Temperature measurements over 5 80 km with self calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30–40 km) data obtained from this combined RR–Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR–Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.
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A Combined Rotational Raman–Rayleigh Lidar for Atmospheric Temperature Measurements Over 5–80 km With Self-Calibration
IEEE Transactions on Geoscience and Remote Sensing, 2016Co-Authors: Yajuan Li, Shalei Song, Yong Yang, Xuewu Cheng, Zhenwei Chen, Jun Xiong, Shunsheng Gong, Faquan LiAbstract:A combined lidar system on the basis of conventional Rayleigh lidar has been extended by two rotational Raman (RR) channels for nocturnal Atmospheric Temperature measurements from 5 to 80 km over Wuhan, China (30.5°N, 114.5°E). An overlapping altitude range of about 10 km is obtained with the RR-technique Temperatures reaching upward to 40 km and the Rayleigh-integration-technique Temperatures above 30 km. Temperature values obtained by two different mechanisms match nicely in the overlapping area. By using a data-merge method, complete Temperature profiles covering widely from 5 to 80 km are obtained for the observation of the thermal structure and perturbations from the troposphere up to the mesosphere. Based on the overlapping-region (30-40 km) data obtained from this combined RR-Rayleigh lidar system and Rayleigh-integration-technique Temperatures initialized with model data at an upper height (90 km), we develop a self-calibration method for the determination of the system-dependent constants for RR Temperature retrieval. Compared with the conventional radiosonde calibration method, the self-calibration obtained in the overlap region of both lidar Temperature measurement techniques can be extrapolated to the lower Temperatures in the tropopause region by using the simpler two-constant calibration function. With this new calibration method, the combined lidar system can perform independent and accurate Atmospheric Temperature measurements when a coincident (in time and space) radiosonde is not available, as it is often the case. This combined RR-Rayleigh lidar thus has the potential for long-term studies of Atmospheric thermal structure and associate perturbations.