Lee Pius, Liu Yang
Air Resources Laboratory, Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration, College Park, MD 20740, USA.
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Int J Environ Res Public Health. 2014 Dec 11;11(12):12795-816. doi: 10.3390/ijerph111212795. Print 2014 Dec.
We report the progress of an ongoing effort by the Air Resources Laboratory, NOAA to build a prototype regional Chemical Analysis System (ARLCAS). The ARLCAS focuses on providing long-term analysis of the three dimensional (3D) air-pollutant concentration fields over the continental U.S. It leverages expertise from the NASA Earth Science Division-sponsored Air Quality Applied Science Team (AQAST) for the state-of-science knowledge in atmospheric and data assimilation sciences. The ARLCAS complies with national operational center requirement protocols and aims to have the modeling system to be maintained by a national center. Meteorology and chemistry observations consist of land-, air- and space-based observed and quality-assured data. We develop modularized testing to investigate the efficacies of the various components of the ARLCAS. The sensitivity testing of data assimilation schemes showed that with the increment of additional observational data sets, the accuracy of the analysis chemical fields also increased incrementally in varying margins. The benefit is especially noted for additional data sets based on a different platform and/or a different retrieval algorithm. We also described a plan to apply the analysis chemical fields in environmental surveillance at the Centers for Disease Control and Prevention.
我们报告了美国国家海洋和大气管理局（NOAA）空气资源实验室正在进行的构建区域化学分析系统原型（ARLCAS）的工作进展。ARLCAS专注于对美国大陆上空的三维（3D）空气污染物浓度场进行长期分析。它利用了美国国家航空航天局（NASA）地球科学部资助的空气质量应用科学团队（AQAST）在大气和数据同化科学方面的科学知识专长。ARLCAS符合国家运营中心的要求协议，旨在使建模系统由一个国家中心维护。气象和化学观测包括基于陆地、空中和太空的观测以及经过质量保证的数据。我们开展模块化测试以研究ARLCAS各个组件的效能。数据同化方案的敏感性测试表明，随着额外观测数据集的增加，分析化学场的准确性也以不同幅度逐步提高。对于基于不同平台和/或不同反演算法的额外数据集，这种益处尤为明显。我们还描述了一项计划，即在疾病控制与预防中心将分析化学场应用于环境监测。
