4.7 Article

Cloud-Top Height Comparison from Multi-Satellite Sensors and Ground-Based Cloud Radar over SACOL Site

期刊

REMOTE SENSING
卷 13, 期 14, 页码 -

出版社

MDPI
DOI: 10.3390/rs13142715

关键词

cloud-top heights; multi-satellite sensors; Ka-band zenith radar; cloud layer category; seasonal variation; cloud geometrical depth

资金

  1. National Science Foundation of China [41922032, 41875028]
  2. National Key R&D Program of China [2016YFC0401003]
  3. Fundamental Research Funds for the Central Universities [lzujbky-2019-it04]

向作者/读者索取更多资源

Cloud-top heights (CTH) play a significant role in the Earth-atmosphere system, impacting radiation budget, water cycle, and atmospheric circulation. This study compares CTH retrieved from different satellite sensors with ground-based observations and finds that passive satellite sensors show better agreement with surface observations in non-overlapping clouds, while active satellite sensors are more consistent with ground-based radar observations. The accuracy of CTH retrieval is influenced by cloud fraction, cloud geometrical depth, and cloud overlapping, with different sensors displaying varying levels of accuracy and sensitivity to different cloud conditions.
Cloud-top heights (CTH), as one of the representative variables reflecting cloud macro-physical properties, affect the Earth-atmosphere system through radiation budget, water cycle, and atmospheric circulation. This study compares the CTH from passive- and active-spaceborne sensors with ground-based Ka-band zenith radar (KAZR) observations at the Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL) site for the period 2013-2019. A series of fundamental statistics on cloud probability in different limited time and areas at the SACOL site reveals that there is an optimal agreement for both cloud frequency and fraction derived from space and surface observations in a 0.5 degrees x 0.5 degrees box area and a 40-min time window. Based on the result, several facets of cloud fraction (CF), cloud overlapping, seasonal variation, and cloud geometrical depth (CGD) are investigated to evaluate the CTH retrieval accuracy of different observing sensors. Analysis shows that the CTH differences between multi-satellite sensors and KAZR decrease with increasing CF and CGD, significantly for passive satellite sensors in non-overlapping clouds. Regarding passive satellite sensors, e.g., Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua, the Multi-angle Imaging SpectroRadiometer (MISR) on Terra, and the Advanced Himawari Imager on Himawari-8 (HW8), a greater CTH frequency difference exists between the upper and lower altitude range, and they retrieve lower CTH than KAZR on average. The CTH accuracy of HW8 and MISR are susceptible to inhomogeneous clouds, which can be reduced by controlling the increase of CF. Besides, the CTH from active satellite sensors, e.g., Cloud Profiling Radar (CPR) on CloudSat, and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), agree well with KAZR and are less affected by seasonal variation and inhomogeneous clouds. Only CALIPSO CTH is higher than KAZR CTH, mainly caused by the low-thin clouds, typically in overlapping clouds.

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