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Metrics for the assessment of quantity and quality of the data by Argo floats
Indian Journal of Geo-Marine Sciences ( IF 0.5 ) Pub Date : 2021-03-31
R U V N Satish, T V S Udaya Bhaskar

Observing system or research initiative's foundation lies on reliable in situ data from sensors, which accurately tell about various key parameters that are being measured. Argo floats had brought huge amount of ocean observational in-situ data which is widely used from analysis to modelling. Present work describes a metrics for analyzing performance of sensors on Argo floats which can be used to assess the performance of float or set of floats as a whole. A set of new metrics like Total Data Return, Quality Data Returned and Quality Data Expected are proposed including the well-known Half-Life Period utilizing all of the Argo profile data. From the analysis, temperature and sensors performance is found to be more than 80 % and average Half-Life is found to be 1065 days. These metrics provide the overall performance of the floats, and can also be applied to other similar floats deployed by other countries as well as sensors fitted on other oceanic platforms.

中文翻译:

Argo floats评估数据的数量和质量的指标

观测系统或研究计划的基础是来自传感器的可靠的原位数据,这些数据可以准确告知正在测量的各种关键参数。Argo浮标带来了大量的海洋观测原位数据,这些数据已被广泛用于分析和建模。当前的工作描述了一种用于分析Argo浮子上传感器性能的指标,可用于评估浮子或整个浮子组的性能。提出了一组新的度量标准,例如总数据回报率,返回的质量数据和预期的质量数据,其中包括利用所有Argo配置文件数据的众所周知的半衰期。通过分析,发现温度和传感器性能超过80%,平均半衰期为1065天。这些指标可提供浮动广告的整体效果,
更新日期:2021-03-31
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