Abstract. One-dimensional hydrodynamic models are nowadays widely recognized as key
tools for lake studies. They offer the possibility to analyze processes at
high frequency, here referring to hourly timescales, to investigate
scenarios and test hypotheses. Yet, simulation outputs are mainly used by
the modellers themselves and often not easily reachable for the outside
community. We have developed an open-access web-based platform for
visualization and promotion of easy access to lake model output data updated
in near-real time (http://simstrat.eawag.ch, last access: 29 August 2019). This platform was developed for 54
lakes in Switzerland with potential for adaptation to other regions or at
global scale using appropriate forcing input data. The benefit of this data
platform is practically illustrated with two examples. First, we show that
the output data allows for assessing the long-term effects of past climate
change on the thermal structure of a lake. The study confirms the need to
not only evaluate changes in all atmospheric forcing but also changes in the
watershed or throughflow heat energy and changes in light penetration to
assess the lake thermal structure. Then, we show how the data platform can
be used to study and compare the role of episodic strong wind events for
different lakes on a regional scale and especially how their thermal
structure is temporarily destabilized. With this open-access data platform,
we demonstrate a new path forward for scientists and practitioners promoting
a cross exchange of expertise through openly sharing in situ and model
data.