Quality control and data restoration of metocean Arctic data

We analyze the problem of data availability and how this situation (which is very common in practice) is a limiting factor for doing quality control and data restoration of MetOcean fields. In order to support our claim, we analyzed the case of data availability in the Arctic Region, since it is true that climate historical archives have always been scarce in this area, due to the harsh climate conditions and logistic difficulties that involve the deployment of in-situ weather systems in the region. In addition to the problem of data scarcity, we also have the problem of inconsistent and missing observations. In this paper, we highlight this problem by the analysis of 125 hourly temperature and hourly wind speed time series, which have been all in common their spatial distribution and present an evaluation of those data in terms of quality and availability. We also discuss the way the presence of gaps in time series can condition the ability of estimating synthetic data and discuss possible solutions to overcome this problem in areas where no neighboring stations are available.