Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity

In this study we present a scheme for calculating the characteristics of multi-layer cloudiness and precipitation for Earth system models of intermediate complexity (EMICs). This scheme considers three-layer stratiform cloudiness and single-column convective clouds. It distinguishes between ice and...

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Main Authors: A. V. Eliseev, D. Coumou, A. V. Chernokulsky, V. Petoukhov, S. Petri
Format: Article
Language:English
Published: Copernicus Publications 2013-10-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/6/1745/2013/gmd-6-1745-2013.pdf
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spelling doaj-7f59820c2d7546e0a4ffb9f9dcb60da02020-11-25T00:51:28ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032013-10-01651745176510.5194/gmd-6-1745-2013Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexityA. V. EliseevD. CoumouA. V. ChernokulskyV. PetoukhovS. PetriIn this study we present a scheme for calculating the characteristics of multi-layer cloudiness and precipitation for Earth system models of intermediate complexity (EMICs). This scheme considers three-layer stratiform cloudiness and single-column convective clouds. It distinguishes between ice and droplet clouds as well. Precipitation is calculated by using cloud lifetime, which depends on cloud type and phase as well as on statistics of synoptic and convective disturbances. The scheme is tuned to observations by using an ensemble simulation forced by the ERA-40-derived climatology for 1979–2001. Upon calibration, the scheme realistically reproduces basic features of fields of cloud fractions, cloud water path, and precipitation. The simulated globally and annually averaged total cloud fraction is 0.59, and the simulated globally averaged annual precipitation is 100 cm yr<sup>−1</sup>. Both values agree with empirically derived values. The simulated cloud water path is too small, probably because the simulated vertical extent of stratiform clouds is too small. Geographical distribution and seasonal changes of calculated cloud fraction and precipitation are broadly realistic as well. However, some important regional biases still remain in the scheme, e.g. too little precipitation in the tropics. We discuss possibilities for future improvements in the scheme.http://www.geosci-model-dev.net/6/1745/2013/gmd-6-1745-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. V. Eliseev
D. Coumou
A. V. Chernokulsky
V. Petoukhov
S. Petri
spellingShingle A. V. Eliseev
D. Coumou
A. V. Chernokulsky
V. Petoukhov
S. Petri
Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity
Geoscientific Model Development
author_facet A. V. Eliseev
D. Coumou
A. V. Chernokulsky
V. Petoukhov
S. Petri
author_sort A. V. Eliseev
title Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity
title_short Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity
title_full Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity
title_fullStr Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity
title_full_unstemmed Scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity
title_sort scheme for calculation of multi-layer cloudiness and precipitation for climate models of intermediate complexity
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2013-10-01
description In this study we present a scheme for calculating the characteristics of multi-layer cloudiness and precipitation for Earth system models of intermediate complexity (EMICs). This scheme considers three-layer stratiform cloudiness and single-column convective clouds. It distinguishes between ice and droplet clouds as well. Precipitation is calculated by using cloud lifetime, which depends on cloud type and phase as well as on statistics of synoptic and convective disturbances. The scheme is tuned to observations by using an ensemble simulation forced by the ERA-40-derived climatology for 1979–2001. Upon calibration, the scheme realistically reproduces basic features of fields of cloud fractions, cloud water path, and precipitation. The simulated globally and annually averaged total cloud fraction is 0.59, and the simulated globally averaged annual precipitation is 100 cm yr<sup>−1</sup>. Both values agree with empirically derived values. The simulated cloud water path is too small, probably because the simulated vertical extent of stratiform clouds is too small. Geographical distribution and seasonal changes of calculated cloud fraction and precipitation are broadly realistic as well. However, some important regional biases still remain in the scheme, e.g. too little precipitation in the tropics. We discuss possibilities for future improvements in the scheme.
url http://www.geosci-model-dev.net/6/1745/2013/gmd-6-1745-2013.pdf
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