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Data Quality Systems Making Met-Ocean Data Useful


Increasing demand for Met-Ocean Data


High-quality meteorological and oceanographic (met- ocean) observations are a prerequisite for rational socio- economic decision making. In today’s environment of ever changing climatic conditions the need for high quality, accurate and reliable data is increasingly vital.


Our understanding, modelling and prediction of the atmosphere ocean climate system, the design of marine constructions (e.g.oil platforms), the optimization algorithms used for wind farm design and the prudent  are all examples of enterprises that rely on comprehensive and accurate met-ocean data. Subtle changes in oceanic parameters can have a large impact on the climate dynamics which when coupled with even small inaccuracies/errors in marine installations can lead to serious consequences.


These factors underpin the importance of high-quality, accurate metocean observations to socioeconomic decisions. The digitisation of met-ocean observations offers more powerful data collection and data processing capability.


The paradox is that whilst the need for more met- ocean observations is increasing, only a fraction of all observations are ever used because the quality of the data is compromised. The combined knowledge and  from organizations/institutes in several countries, is needed to transform the raw data from a single monitoring project to a high-quality dataset, which subsequently can be downloaded and utilized by a third party.


      transparency are the key challenges that need to be addressed and dealt with properly throughout the data 


It also poses a challenge to maintain the data quality because: i) the volume of observations being recorded is much greater and - ii) the number of instrument types in use and the range of physical variables being measured are increasing.


The effort by many people in many organizational settings is required to obtain high quality met-ocean observation  diagram on the next page. Data Quality Systems Ltd. has developed a generic software solution that is designed to support these user roles.


These factors when combined with the increased need   of met-ocean observations available.


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