Detection and assessment of cloud cover and precipitation parameters using data of scanning radiometers of polar–orbiting and geostationary meteorological satellites
- 作者: Volkova E.1, Uspensky A.1
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隶属关系:
- State Research Center “Planeta”
- 期: 卷 52, 编号 9 (2016)
- 页面: 1097-1109
- 栏目: Studying Atmospheric Processes from Space
- URL: https://journals.rcsi.science/0001-4338/article/view/148513
- DOI: https://doi.org/10.1134/S0001433816090280
- ID: 148513
如何引用文章
详细
Two multispectral threshold techniques have been developed and tested for the automatic classification of AVHRR/NOAA and SEVIRI/Meteosat-10 data. They provide day-and-night detection and the assessment of cloud-cover parameters, as well as the discrimination of precipitation zones and severe weather phenomena. The validation of output information products, which has been performed with ground-based conventional meteorological observations and radar data, as well as with independent satellite-based estimates of cloud cover and precipitation parameters, confirms the feasibility of developed techniques and reasonable accuracy of output products. Therefore, the technique is concurrent to those implemented in current foreign satellite centers.
作者简介
E. Volkova
State Research Center “Planeta”
Email: uspensky@planet.iitp.ru
俄罗斯联邦, Moscow
A. Uspensky
State Research Center “Planeta”
编辑信件的主要联系方式.
Email: uspensky@planet.iitp.ru
俄罗斯联邦, Moscow