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Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session IV - Cloud Science
The Impact of Dynamic Retrieval Emissivity on the Microwave Surface-sensitive Channels over Land
D. Xing,* Q. Huang, W. Zhang, B. Liu, X. Xing, T. Luo
*corresponding author
Full text: pdf
Pre-published on: 2017 July 17
Published on: 2017 September 06
Abstract
In addition to the traditionally complex land surface emissivity models, it is possible to direct real-time retrieve emissivity over land surface in a large-scaled temporal and spatial region from satellite microwave observations. We investigated the performance of the real-time dynamic retrieval emissivity against the monthly averaged emissivity atlas. As indicated by the results, the dynamic retrieval algorithm can obviously reduce the first guess departure of low-level channels which are sensitive to the surface and the simulated background brightness temperatures with real-time dynamic emissivity against the observations have a better agreement over the land surface and higher correlation. Therefore, the dynamic retrieval emissivity algorithm has the potential to improve the effect of satellite data assimilation.
DOI: https://doi.org/10.22323/1.299.0071
Open Access
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