Base height estimation for multi-layer clouds from passive remote sensing data

A. V. Skorokhodov; K. V. Kuryanovich

doi:10.1117/12.2688701

17 October 2023 Base height estimation for multi-layer clouds from passive remote sensing data

Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 127804W (2023) https://doi.org/10.1117/12.2688701
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation

Abstract

We present the results of testing the algorithm of cloud-base height (CBH) estimation to determine this parameter for multi-layer clouds from data of passive remote sensing by MODIS spectroradiometer (Aqua satellite). Episodes of observations of two- and three-layer clouds over Western Siberia in summer time for the period from 2010 to 2015 were considered mainly with the following parameters: optical thickness less than 20, distance between the layers more than 1 km, and multi-layer flag value greater than 3. Sampling was based on the results of remote sensing by CALIOP lidar (CALIPSO satellite) and CPR radar (CloudSat satellite). The most repeated combinations of clouds in different levels observed simultaneously as part of multi-layer clouds were determined. The results of CBH estimation for multi-layer clouds and their statistical analysis are discussed. We found that the algorithm generally gives underestimated values of the CBH relative to the overlying level and overestimated values in comparison to the underlying. The perspective ways for development of this work are given

Citation Download Citation

A. V. Skorokhodov and K. V. Kuryanovich "Base height estimation for multi-layer clouds from passive remote sensing data", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 127804W (17 October 2023); https://doi.org/10.1117/12.2688701

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KEYWORDS

Clouds

MODIS

Satellites

Passive remote sensing

LIDAR

Data analysis

Radar

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