气候观测和海啸海平面监测及质量控制的数据库设计和元数据管理

Jing Zhou, L. Bernard, R. Bouchard, K. Kern, C. Teng, Kirk Benson, J. Higgs
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引用次数: 1

摘要

美国国家海洋和大气管理局国家数据浮标中心(NDBC)增加了两个主要的浮标网络,这是由55个热带大气海洋(TAO)阵列遗留浮标和全球建立的第二代深海海啸评估和报告(DART®)网络的结果,该网络有39个海面浮标和配置的海底底压记录仪(BPR)。因此,他们的基础数据管理系统被重新设计并在NDBC实现。本文阐述了支持两种浮标网络元数据管理的实际设计,以及它们在数据管理和质量控制方面的具体需求。讨论了元数据生命周期和操作工作流,并考虑了通过开放地理空间联盟(OGC)传感器模型语言(SensorML)实现观测数据和元数据网络表示的未来想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Database designs and metadata management for climate observations and Tsunami sea-level monitoring and quality control
Two major buoy networks have been added to the National Oceanic and Atmospheric Administration National Data Buoy Center (NDBC) as the result of the transition of Tropical Atmosphere Ocean (TAO) Array with 55 TAO legacy buoys and the global establishment of the second-generation Deep-ocean Assessment and Reporting of Tsunami (DART®) network with 39 surface buoys and collocated subsurface bottom pressure recorders (BPR). Accordingly, their underlying data management systems were redesigned and implemented at NDBC. This paper illustrates practical designs that support the metadata management for both of the buoy networks as well as their specific needs for data management and quality control. Metadata life cycles and operational workflows are discussed and future ideas of web presentation of observation data and metadata via Open Geospatial Consortium (OGC) Sensor Model Language (SensorML) are considered.
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