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The time-pressure cross sections of observed cloud frequencies, relative humidity (%), and GOES satellite images along with the surface low-pressure systems (L) and the surface front as a frontal system passed over the ARM SGP site during the ARM March 2000 Field Campaign. The dotted line in the top left panel is the observed domain-averaged precipitation rate. The two solid vertical lines mark the times corresponding to the two right panels. The circles in the two right panels highlight the ARM SGP variational analysis domain, which coincide with the ARM SGP boundary facility balloon stations and the wind profilers. The solid dot in the center of the circles is the location of the ARM SGP Central Facility.

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Document Title: Understanding and Improving Cloud Parameterizations in Climate Models Using ARM Observations

Submission Date: 01/10/2006 at 06:31 PM

Category: Data, Graphics, Models

Resolution: 300

Date of Image/Photo:

Point of contact: Shaocheng Xie

Names of people in photo:

Background: The cover image illustrates how various ARM data are integrated to understand and improve cloud parameterizations in climate models. This figure was taken from a multi-model intercomparison study conducted by the ARM Cloud Parameterization and Modeling (CPM) Working Group, which assessed the ability of nine single-column models and four cloud-resolving models in simulating a strong deep midlatitude frontal cloud system observed during the ARM March 2000 Field Campaign. The purpose of this case study is to use the ARM collected sounding data, surface measurements, cloud radar and lidar data, and satellite retrievals from this field campaign to understand how clouds are generated in observations and parameterized in models so as to gain insights for further improving the parameterization of clouds in climate models. Results of this intercomparison study were summarized in an article that was published in a special issue of Journal of Geophysical Research on ?Toward Reducing Cloud-Climate Feedback Uncertainties in Atmospheric General Circulation Models? from the ARM CPM Working Group. This was a 2006 cover competition submission for the ARM Science Team Meeting Program.

URL: http://images.arm.gov/armimages.nsf/by+id/TENG-6KX4Z5

Note: This image may be reproduced and published at your discretion. Please use the following credit line: "Courtesy: U.S. Department of Energy's Atmospheric Radiation Measurement Program."

Document Title:	Understanding and Improving Cloud Parameterizations in Climate Models Using ARM Observations
Submission Date:	01/10/2006 at 06:31 PM
Category:	Data, Graphics, Models
Resolution:	300
Date of Image/Photo:
Point of contact:	Shaocheng Xie
Names of people in photo:
Background:	The cover image illustrates how various ARM data are integrated to understand and improve cloud parameterizations in climate models. This figure was taken from a multi-model intercomparison study conducted by the ARM Cloud Parameterization and Modeling (CPM) Working Group, which assessed the ability of nine single-column models and four cloud-resolving models in simulating a strong deep midlatitude frontal cloud system observed during the ARM March 2000 Field Campaign. The purpose of this case study is to use the ARM collected sounding data, surface measurements, cloud radar and lidar data, and satellite retrievals from this field campaign to understand how clouds are generated in observations and parameterized in models so as to gain insights for further improving the parameterization of clouds in climate models. Results of this intercomparison study were summarized in an article that was published in a special issue of Journal of Geophysical Research on ?Toward Reducing Cloud-Climate Feedback Uncertainties in Atmospheric General Circulation Models? from the ARM CPM Working Group. This was a 2006 cover competition submission for the ARM Science Team Meeting Program.
URL:	http://images.arm.gov/armimages.nsf/by+id/TENG-6KX4Z5

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