气候变化领域集成服务门户(CCPortal): The arm data-oriented metrics and diagnostics package for climate models: A new tool for evaluating climate models with field data

CCPortal

DOI	10.1175/BAMS-D-19-0282.1
	The arm data-oriented metrics and diagnostics package for climate models: A new tool for evaluating climate models with field data
	Zhang C.; Xie S.; Tao C.; Tang S.; Emmenegger T.; Neelin J.D.; Schiro K.A.; Lin W.; Shaheen Z.
发表日期	2020
ISSN	00030007
起始页码	E1619
结束页码	E1627
卷号	101 期号:10
英文摘要	The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program User Facility produces ground-based long-term continuous unique measurements for atmospheric state, precipitation, turbulent fluxes, radiation, aerosol, cloud, and the land surface, which are collected at multiple sites. These comprehensive datasets have been widely used to calibrate climate models and are proven to be invaluable for climate model development and improvement. This article introduces an evaluation package to facilitate the use of ground-based ARM measurements in climate model evaluation. The ARM data-oriented metrics and diagnostics package (ARM-DIAGS) includes both ARM observational datasets and a Python-based analysis toolkit for computation and visualization. The observational datasets are compiled from multiple ARM data products and specifically tailored for use in climate model evaluation. In addition, ARMDIAGS also includes simulation data from models participating the Coupled Model Intercomparison Project (CMIP), which will allow climate-modeling groups to compare a new, candidate version of their model to existing CMIP models. The analysis toolkit is designed to make the metrics and diagnostics quickly available to the model developers. © 2020 American Meteorological Society.
语种	英语
scopus关键词	Atmospheric radiation; Data visualization; Precipitation (meteorology); Analysis toolkits; Atmospheric radiation measurement programs; Coupled Model Intercomparison Project; Model development; Model evaluation; Simulation data; Turbulent flux; U.S. Department of Energy; Climate models
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177806
作者单位	Lawrence Livermore National Laboratory, Livermore, CA, United States; University of California, Los Angeles, Los Angeles, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Brookhaven National Laboratory, Upton, NY, United States; Google LLC, Mountain View, CA, United States
推荐引用方式 GB/T 7714	Zhang C.,Xie S.,Tao C.,et al. The arm data-oriented metrics and diagnostics package for climate models: A new tool for evaluating climate models with field data[J],2020,101(10).
APA	Zhang C..,Xie S..,Tao C..,Tang S..,Emmenegger T..,...&Shaheen Z..(2020).The arm data-oriented metrics and diagnostics package for climate models: A new tool for evaluating climate models with field data.Bulletin of the American Meteorological Society,101(10).
MLA	Zhang C.,et al."The arm data-oriented metrics and diagnostics package for climate models: A new tool for evaluating climate models with field data".Bulletin of the American Meteorological Society 101.10(2020).