|Reference Category||Conference papers|
|Title (Primary)||Königshafen submarine groundwater discharge network (KiSNet)|
|Title (Secondary)||EGU General Assembly, EGU2020, Online, 4-8 May 2020|
|Author||Mallast, U.; Waska, H.; Moosdorf, N.|
Submarine groundwater discharge (SGD) as a pathway for water and chemical constituents between land and ocean is a rather young topic. For a long time it has been neglected by the scientific community and coastal managers. However, it has increasingly attracted attention since the turn of the millennium. Yet, SGD is mostly investigated either by terrestrial or marine disciplines although a broader, interdisciplinary approach would benefit SGD research. Moreover, so far reported SGD flux data at local to regional scale are a) hardly comparable as, to our best knowledge, only a few, mostly isolated studies directly compared available SGD methods in a quantitative fashion and b) flux data contain large uncertainties, either because they were up-scaled from local discrete (point) measurements to regional scales or because they were derived from modelling/ budgeting of regional or even global matter fluxes despite the known high spatial and temporal variability.
In order to pave the way for a more standardized and interdisciplinary SGD research that would reduce inherited measurement/ extrapolation uncertainties, the Königshafen Submarine Groundwater Discharge Network (KiSNet) seeks to contribute through three concrete aims:
The network will convene at the bay of Königshafen on Sylt, Germany, during two different points in time. Each time, all members of the network will apply qualitative (remote sensing, marine and terrestrial ground-based geophysics, biological indicators and socio-scientific methods) and quantitative (seepage meters, temperature rods, natural tracers, numerical simulation) methods from terrestrial and marine disciplines to investigate SGD synchronously and provide a robust basis to tackle above mentioned aims.
Here, we will outline exact procedures, methods and anticipated results the network will produce and provide an overview on future actions the network anticipates.
The data reliability can be increased by implementing data uncertainty issues within the FAIR principle. The poster presentation will show the importance of comparative measurements, the information needs for the application of proxy-transfer functions, and suitable uncertainty analysis for databases.
|Persistent UFZ Identifier||https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24218|
|Mallast, U., Waska, H., Moosdorf, N. (2020):
Königshafen submarine groundwater discharge network (KiSNet)
EGU General Assembly, EGU2020, Online, 4-8 May 2020
Copernicus Publications, p. EGU2020-5424