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3-D cloud geometry from 2-D radiance measurements of specMACS during EUREC4A using a stereographic approach

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DataCite Commons2023-08-29 更新2024-07-03 收录
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https://eurec4a.aeris-data.fr/landing-page?uuid=de063784-4872-47d3-885f-a247ec541958
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资源简介:
The spectrometer of the Munich Aerosol Cloud Scanner (specMACS) (Ewald et al. 2016) was mounted onboard the German research aircraft HALO during the EUREC4A campaign, providing radiance measurements in the VNIR (400-1000nm) and SWIR (1000-2500nm) as well as spatially and temporally highly resolved 2-D RGB measurements for a wide field of view (about 90° x 120°, Pörtge et al. 2023). The 2-D measurements are used for the stereographic retrieval of 3-D cloud geometry based on feature matching between subsequent images (Kölling et al. 2019). This dataset provides the points found on cloud surfaces for all flight segments flown by HALO during the EUREC4A campaign except if no point could be identified, i.e. due to darkness. The points are given in WGS-84 coordinates as well as in a cartesian reference frame which has its origin at 13.1°N and -57.4°E. Furthermore, the dataset provides the corresponding height above the EGM-2008 geoid and the mean aircraft position and time at which the point has been observed. Finally, the dataset contains a maximum misspointing variable corresponding to the length of the mis-pointing vector described in Kölling et al. 2019 which determines an uncertainty measure for the accuracy of the points: a larger mis-pointing corresponds generally to a larger uncertainty.
提供机构:
Aeris
创建时间:
2023-08-29
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