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首页> 外文期刊>Bulletin of the American Meteorological Society >The ARM Data-Oriented Metrics and Diagnostics Package for Climate Models A New Tool for Evaluating Climate Models with Field Data
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The ARM Data-Oriented Metrics and Diagnostics Package for Climate Models A New Tool for Evaluating Climate Models with Field Data

机译：用于气候模型的ARM面向数据的指标和诊断包装用于评估具有现场数据的气候模型的新工具

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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, ARM-DIAGS 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.
机译：美国能源部（DOE）大气辐射测量（ARM）项目用户设施为大气状态、降水、湍流通量、辐射、气溶胶、云和地表提供基于地面的长期连续唯一测量，这些数据在多个地点收集。这些综合数据集已被广泛用于校准气候模型，并被证明对气候模型的开发和改进非常宝贵。本文介绍了一个评估包，以便于在气候模型评估中使用基于地面的ARM测量。ARM面向数据的度量和诊断包（ARM-DIAGS）包括ARM观测数据集和一个用于计算和可视化的基于Python的分析工具包。观测数据集由多个ARM数据产品汇编而成，专门用于气候模型评估。此外，ARM-DIAGS还包括来自参与耦合模型相互比较项目（CMIP）的模型的模拟数据，该项目将允许气候建模小组将其模型的新候选版本与现有CMIP模型进行比较。分析工具包旨在使模型开发人员能够快速获得度量和诊断。

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