摘要: The Meteorological Sensor Array (MSA) goal is to provide reliable and persistent atmospheric data resources, which allow atmospheric modelers and sensor developers to validate and compare model and sensor performance with observat... 展开 The Meteorological Sensor Array (MSA) goal is to provide reliable and persistent atmospheric data resources, which allow atmospheric modelers and sensor developers to validate and compare model and sensor performance with observations at and near the surface and in close proximity to terrain of varying complexity. The MSA Phase I ( Proof of Concept ) field campaign was executed in 2014. Concurrently, a Proof of Concept data management tool was designed, created and initial tests conducted. The Data Management task was divided into 2 parts: Data Processing and Data Distribution. The Data Processing was defined as the data flow from field sensor measurements through the initial data averaging, data merging, and time-series visualization plots used to quality control the data. The Data Distribution task began once the field data were quality controlled and included the process of reconfiguring the field data files for MSA data users. An earlier report (ARL-TR-7058) describes the Data Processing, in detail. Volume 2 focuses on the subsequent 2014-Data Distribution Tool development. This Data Distribution Tool consisted of 4 functions: Data Storage, Data Extraction, Data Visualization, and Data Documentation. Each function is elaborated in this report, along with a sample of the lessons learned . Data management is a nontrivial, critical pillar of the MSA. With software technologies advancing daily, the possibilities for improved data management tools are almost open ended. With this documentation, however, a foundation for creating a successful MSA Data Management Tool has been initiated. 收起