在現今資訊化的時代下，資料品質之良窳對於企業營運具有重大且關鍵的影響。在氣象領域中，氣象資料的品質所扮演的角色亦是如此。然而，現有氣象品質控制之常見方式，主要著重於錯誤偵測與遺漏值偵測，即僅針對資料產出的結果做考慮，卻忽略了在作業流程上可能也會引發品質問題。因此，本研究旨在以全面品質管理(Total Quality Management，簡為TQM)之角度，特別是針對資料倉儲的系統性質以及流程專注的訴求之下，提出一全面性的氣象資料品質綜效架構(Total Meteorological Data Quality framework，簡為TMDQ)。同時，透過這一架構所建立的四個品質向度指標，協助氣象觀測人員能從不同面向來掌握氣象資料的各種品質。在實務應用上，本研究依據所提出的架構，實作出一個應用程式以幫助氣象觀測人員能適時且有效的提昇與維護氣象資料之品質。並且，為了驗證本研究提出的架構與所實作出之系統的可行性，本研究亦將TMDQ應用於中央氣象局的淡水觀測站之中，來展示系統功能與使用情形。最後，針對現有的運用與研究限制進行討論，並提出未來研究的可能方向。 In this information era, the quality of data is significant to enterprises. In meteorology, the quality of meteorological data also plays an important role in decision-making. However, the existing methods of meteorological data quality control focus on error detection and missing values detection, which aim at taking the output of dataset into account; whereas they neglect the quality problems arises from the processes. Therefore, this research aims to propose a comprehensive framework of the quality of meteorological data, termed Total Meteorological Data Quality framework (TMDQ). This framework is based on Total Quality Management (TQM), especially focusing on the demand of the system characteristics of data warehouse and the processes-focusing. Simultaneously, by the four quality indicators built by this framework, TMDQ can help observers from different views to handle a variety of meteorological data qualities. In the practical application, according to the proposed framework, this research implements an application to help observers to increase and maintain the quality of meteorological data. Moreover, to verify the feasibility of the proposed framework and the implemented system, this research applies TMDQ to the Danshui observing station of Central Weather Bureau to demonstrate the proposed system and the test situation. Finally, discussion and suggestions are presented for the existing application and we propose the probable direction of the future work.
