Naturally, this would be analyzed within a Lagrangian framework. Proper interpretation of oceanographic measurements often requires knowledge about the origin and history of the regional water masses. Localized in situ observations are, however, only limited snapshots of an ongoing evolution of water masses, ranging from the large-scale ocean circulation on the order of years ( Sheehan et al., 2017) to the smaller meso- and submeso-scale structures ( Oka et al., 2014 Schubert et al., 2019). In this study, we address a couple of examples that refer to FerryBox observations in the southern North Sea ( Petersen, 2014). In situ observations from FerryBoxes installed on ships of opportunity provide measurements for a large number of different parameters with high temporal resolution. We demonstrate how the measurements from a fixed platform can be synchronized to measurements from a moving platform by taking into account simulation-based time shifts. Both observational platforms often see the same water body, but at different times. A third application is the synchronization of measurements between fixed stations and nearby moving platforms. These examples involve quasi-continuous observations of salinity taken along ferry routes. We also demonstrate how we can use synoptic maps to delineate different water masses in coastal margins. We present examples of how synoptic maps of salinity generated by this method support the identification and tracing of river plumes in coastal regions. In that context, we suggest the use of Lagrangian transport simulations extending both forward and backward in time to identify the movements of water bodies from the time they were observed to the time of their synopsis. One key challenge of marine monitoring programs is to reasonably combine information from different in situ observations spread in space and time. 2Federal Waterways Engineering and Research Institute, Hamburg, Germany.
1Helmholtz-Zentrum Hereon, Geesthacht, Germany.Ulrich Callies 1, Markus Kreus 2, Wilhelm Petersen 1 and Yoana G.
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