Cloud's Center of Gravity – a compact approach to analyze convective cloud development

As cloud resolving models become more detailed, with higher resolution outputs, it is often complicated to isolate the physical processes that control the cloud attributes. Moreover, due to the high dimensionality and complexity of the model output, the analysis and interpretation of the results can...

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Main Authors: I. Koren, O. Altaratz, G. Feingold, Z. Levin, T. Reisin
Format: Article
Language:English
Published: Copernicus Publications 2009-01-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/9/155/2009/acp-9-155-2009.pdf
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spelling doaj-f1806d485b97465db87660dc41cc56082020-11-24T22:23:01ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242009-01-0191155161Cloud's Center of Gravity – a compact approach to analyze convective cloud developmentI. KorenO. AltaratzG. FeingoldZ. LevinT. ReisinAs cloud resolving models become more detailed, with higher resolution outputs, it is often complicated to isolate the physical processes that control the cloud attributes. Moreover, due to the high dimensionality and complexity of the model output, the analysis and interpretation of the results can be very complicated. Here we suggest a novel approach to convective cloud analysis that yields more insight into the physical and temporal evolution of clouds, and is compact and efficient. The different (3-D) cloud attributes are weighted and projected onto a single point in space and in time, that has properties of, or similar to, the Center Of Gravity (COG). The location, magnitude and spread of this variable are followed in time. The implications of the COG approach are demonstrated for a study of aerosol effects on a warm convective cloud. We show that in addition to reducing dramatically the dimensionality of the output, such an approach often enhances the signal, adds more information, and makes the physical description of cloud evolution clearer, allowing unambiguous comparison of clouds evolving in different environmental conditions. This approach may also be useful for analysis of cloud data retrieved from surface or space-based cloud radars. http://www.atmos-chem-phys.net/9/155/2009/acp-9-155-2009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author I. Koren
O. Altaratz
G. Feingold
Z. Levin
T. Reisin
spellingShingle I. Koren
O. Altaratz
G. Feingold
Z. Levin
T. Reisin
Cloud's Center of Gravity – a compact approach to analyze convective cloud development
Atmospheric Chemistry and Physics
author_facet I. Koren
O. Altaratz
G. Feingold
Z. Levin
T. Reisin
author_sort I. Koren
title Cloud's Center of Gravity – a compact approach to analyze convective cloud development
title_short Cloud's Center of Gravity – a compact approach to analyze convective cloud development
title_full Cloud's Center of Gravity – a compact approach to analyze convective cloud development
title_fullStr Cloud's Center of Gravity – a compact approach to analyze convective cloud development
title_full_unstemmed Cloud's Center of Gravity – a compact approach to analyze convective cloud development
title_sort cloud's center of gravity – a compact approach to analyze convective cloud development
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2009-01-01
description As cloud resolving models become more detailed, with higher resolution outputs, it is often complicated to isolate the physical processes that control the cloud attributes. Moreover, due to the high dimensionality and complexity of the model output, the analysis and interpretation of the results can be very complicated. Here we suggest a novel approach to convective cloud analysis that yields more insight into the physical and temporal evolution of clouds, and is compact and efficient. The different (3-D) cloud attributes are weighted and projected onto a single point in space and in time, that has properties of, or similar to, the Center Of Gravity (COG). The location, magnitude and spread of this variable are followed in time. The implications of the COG approach are demonstrated for a study of aerosol effects on a warm convective cloud. We show that in addition to reducing dramatically the dimensionality of the output, such an approach often enhances the signal, adds more information, and makes the physical description of cloud evolution clearer, allowing unambiguous comparison of clouds evolving in different environmental conditions. This approach may also be useful for analysis of cloud data retrieved from surface or space-based cloud radars.
url http://www.atmos-chem-phys.net/9/155/2009/acp-9-155-2009.pdf
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