Actions for Introduction to CAUSES [electronic resource] : Description of Weather and Climate Models and Their Near-Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains

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Introduction to CAUSES [electronic resource] : Description of Weather and Climate Models and Their Near-Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains

Published
Washington, D.C. : United States. Dept. of Energy. Office of Science, 2018.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description
pages 2,655-2,683 : digital, PDF file
Additional Creators
Pacific Northwest National Laboratory (U.S.), United States. Department of Energy. Office of Science, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
We introduce the Clouds Above the United States and Errors at the Surface (CAUSES) project with its aim of better understanding the physical processes leading to warm screen temperature biases over the American Midwest in many numerical models. In this first of four companion papers, 11 different models, from nine institutes, perform a series of 5 day hindcasts, each initialized from reanalyses. After describing the common experimental protocol and detailing each model configuration, a gridded temperature data set is derived from observations and used to show that all the models have a warm bias over parts of the Midwest. Additionally, a strong diurnal cycle in the screen temperature bias is found in most models. In some models the bias is largest around midday, while in others it is largest during the night. At the Department of Energy Atmospheric Radiation Measurement Southern Great Plains (SGP) site, the model biases are shown to extend several kilometers into the atmosphere. Finally, to provide context for the companion papers, in which observations from the SGP site are used to evaluate the different processes contributing to errors there, it is shown that there are numerous locations across the Midwest where the diurnal cycle of the error is highly correlated with the diurnal cycle of the error at SGP. This suggests that conclusions drawn from detailed evaluation of models using instruments located at SGP will be representative of errors that are prevalent over a larger spatial scale.
Report Numbers
E 1.99:pnnl-sa--126058
pnnl-sa--126058
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Other Subject(s)
Note
Published through SciTech Connect.
02/16/2018.
"pnnl-sa--126058"
Journal of Geophysical Research: Atmospheres 123 5 ISSN 2169-897X AM
C. J. Morcrette; K. Van Weverberg; H. -Y. Ma; M. Ahlgrimm; E. Bazile; L. K. Berg; A. Cheng; F. Cheruy; J. Cole; R. Forbes; W. I. Gustafson; M. Huang; W. -S. Lee; Y. Liu; L. Mellul; W. J. Merryfield; Y. Qian; R. Roehrig; Y. -C. Wang; S. Xie; K. -M. Xu; C. Zhang; S. Klein; J. Petch.
Funding Information
SC0014122
SC0005259
AC52-07NA27344
AC05-76RL01830
AC02-05CH11231
DARI-0292
View MARC record | catkey: 23774631