Statistical analysis of environmental variables

Statistical analysis of environmental variables

One of the main areas of research of the Marine Climate and Climate Change area at IH Cantabria is the study of new methods for the description and statistical analysis of environmental variables affecting marine  and river engineering projects. To do this, advanced techniques are employed including mathematical statistics available for the databases of different variables so that these can be integrated into different contexts: life cycle of offshore structures, coastal risk studies, climate change, etc. ..

This line is transversal within the Institute, with a wide variety of applications. It aims to strengthen the scientific basis necessary to face many new challenges in this area. Currently there is a significant increase of available information on the variables that affect the marine environment and coastal and river areas due to the use of: instrumental buoys, weather stations, cameras, satellite, rain gauges, flow gauging, etc. all of which require alternative methodologies to allow incorporating the available information. 

Among the most relevant, are the new methods of analysis of these variables focusing on some of the following aspects: unsteady adjustment to account for interannual variations, sensitivity studies to see how they affect the data in the results from different models, reanalysis database calibrations, study long-term trends taking into account the spatial variability (local, regional and global), regression methods to study trends and anomalies regarding the trend for subsequent integration risk assessment, combining extreme analysis and reanalysis instrumental information, etc ...

In parallel and in order to facilitate knowledge and technological transfer and as well as scientific and technical contributions arising from the research, a software has been developed to allow web-based statistical analysis of environmental variables with the advances that have been made in this field in recent years and methodologies arising from investigations at IH Cantabria.

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