globalchange  > 气候减缓与适应
DOI: 10.1002/2017JD027199
Scopus记录号: 2-s2.0-85043460621
论文题名:
Introduction to CAUSES: Description of Weather and Climate Models and Their Near-Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains
作者: Morcrette C.J.; VanWeverberg K.; Ma H.-Y.; Ahlgrimm M.; Bazile E.; Berg L.K.; Cheng A.; Cheruy F.; Cole J.; Forbes R.; Gustafson W.I.; Jr.; Huang M.; Lee W.-S.; Liu Y.; Mellul L.; Merryfield W.J.; Qian Y.; Roehrig R.; Wang Y.-C.; Xie S.; Xu K.-M.; Zhang C.; Klein S.; Petch J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:5
起始页码: 2655
结束页码: 2683
语种: 英语
英文关键词: ARM ; SGP ; surface temperature bias ; systematic errors
Scopus关键词: air temperature ; climate modeling ; data set ; error correction ; hindcasting ; instrumentation ; numerical model ; surface temperature ; Midwest ; United States
英文摘要: 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. ©2018. Crown copyright. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114265
Appears in Collections:气候减缓与适应

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作者单位: Met Office, Exeter, United Kingdom; Lawrence Livermore National Laboratory, Livermore, CA, United States; European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; CNRM, Météo-France/CNRS, Toulouse, France; Pacific Northwest National Laboratory, Richland, WA, United States; NASA Langley Research Center, Hampton, VA, United States; Laboratoire de Météorologie Dynamique, Paris, France; Environment and Climate Change Canada, Victoria, BC, Canada; Academia Sinica, Taipei, Taiwan

Recommended Citation:
Morcrette C.J.,VanWeverberg K.,Ma H.-Y.,et al. Introduction to CAUSES: Description of Weather and Climate Models and Their Near-Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(5)
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