Israel Silber, Jennifer M. Comstock, Michael R. Kieburtz, Lynn M. Russell
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引用次数: 0
Abstract
Abstract. Ground-based instruments offer unique capabilities such as detailed atmospheric thermodynamic, cloud, and aerosol profiling at a high temporal sampling rate. The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) user facility provides comprehensive datasets from key locations around the globe, facilitating long-term characterization and process-level understanding of clouds, aerosol, and aerosol-cloud interactions. However, as with other ground-based datasets, the fixed (Eulerian) nature of these measurements often introduces a knowledge gap in relating those observations with airmass hysteresis. Here, we describe ARMTRAJ, a set of multi-purpose trajectory datasets that helps close this gap in ARM deployments. Each dataset targets a different aspect of atmospheric research, including the analysis of surface, planetary boundary layer, distinct liquid-bearing cloud layers, and (primary) cloud decks. Trajectories are calculated using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model informed by the European Centre for Medium-Range Weather Forecasts ERA5 reanalysis dataset at its highest spatial resolution (0.25 degrees) and are initialized using ARM datasets. The trajectory datasets include information about airmass coordinates and state variables extracted from ERA5 before and after the ARM site overpass. Ensemble runs generated for each model initialization enhance trajectory consistency, while ensemble variability serves as a valuable uncertainty metric for those reported airmass coordinates and state variables. Following the description of dataset processing and structure, we demonstrate applications of ARMTRAJ to a case study and a few bulk analyses of observations collected during ARM’s Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE) field deployment. ARMTRAJ is expected to become a near real-time product accompanying new ARM deployments and an augmenting product to ongoing and previous deployments, promoting reaching science goals of research relying on ARM observations.
摘要。地基仪器具有独特的功能,例如以高时间采样率进行详细的大气热力学、云层和气溶胶剖面分析。美国能源部大气辐射测量(ARM)用户设施提供来自全球主要地点的综合数据集,有助于对云、气溶胶和气溶胶-云相互作用进行长期特征描述和过程级理解。然而,与其他地基数据集一样,这些测量数据的固定(欧拉)性质往往会在将这些观测数据与气云滞后联系起来方面带来知识差距。在此,我们将介绍 ARMTRAJ,这是一套多用途轨迹数据集,有助于缩小 ARM 部署中的这一差距。每个数据集都针对大气研究的不同方面,包括对表面、行星边界层、独特的含液云层和(主要)云层的分析。轨迹使用混合单粒子拉格朗日综合轨迹(HYSPLIT)模型进行计算,该模型以最高空间分辨率(0.25 度)的欧洲中期天气预报中心 ERA5 再分析数据集为依据,并使用 ARM 数据集进行初始化。轨迹数据集包括从ERA5提取的气团坐标和状态变量信息,这些信息在ARM站点覆盖前后都有。为每个模式初始化生成的集合运行增强了轨迹一致性,而集合变异性则可作为报告的气团坐标和状态变量的重要不确定性指标。在介绍了数据集处理和结构之后,我们演示了 ARMTRAJ 在案例研究中的应用,以及对 ARM 的东太平洋云层气溶胶降水实验(EPCAPE)实地部署期间收集的观测数据进行的一些批量分析。ARMTRAJ 预计将成为伴随新的 ARM 部署的近实时产品,以及正在进行的和以前部署的增强产品,从而促进实现依靠 ARM 观测进行研究的科学目标。
Earth System Science DataGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍:
Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.