What is it about?

* Presenting the DIVA detrending procedure that allows to dissociate spatial, seasonal and inter-annual variability from an oceanographic data set (other classes such as measurement device can also be considered). * Identify the long term trends of the Black Sea Cold Intermediate layer and its sensitivity to winter air temperature anomalies

Featured Image

Why is it important?

* Data sets are typically not distributed evenly in time and space. Significant trend along an unevenly sampled axis results in spurious trends when merging data along another axis. Think of a map of annual average sea surface temperature, based on data where all eastern observation were taken in summer and all western observation in winter. * Cold water formation is the major ventilating process for the Black Sea intermediate layer. Its variability conditions the biogeochemical structure of the Black Sea.

Read the Original

This page is a summary of: Untangling spatial and temporal trends in the variability of the Black Sea Cold Intermediate Layer and mixed Layer Depth using the DIVA detrending procedure, Ocean Dynamics, January 2014, Springer Science + Business Media,
DOI: 10.1007/s10236-013-0683-4.
You can read the full text:

Read

Contributors

The following have contributed to this page