Example Data set with simulated 2hourly turbulence and temperature data for a conic virtual lake.
List with the following elements:
vector with time (days)
vector with water level above ground (m)
matrix of simulated water temperatures (deg C)
matrix of simulated eddy diffusivity (m^2/s)
Data were simulated with the General Ocean Turbulence Model (GOTM; Stips et al 2002, Burchardt et al. 2007) for a lake with conic morphometry and then linearly interpolated to equidistant depths. Conductivity was set to zero and is omitted. See Sachse et al. (2014) for further details of the model setup.
Simulations of Sachse et al. (2014).
Sachse, R., Petzoldt, T., Blumstock, M., Moreira, S., P\"atzig, M., R\"ucker, J., Janse, J. H., Mooij, W. M., Hilt, S. (2014) Extending one-dimensional models for deep lakes to simulate the impact of submerged macrophytes on water quality. Environmental Modelling and Software, 61, 410-423
Stips, A., Burchard, H., Bolding, K., Eifler, W. (2002) Modelling of convective turbulence with a two-equation k-epsilon turbulence closure scheme Ocean Dynamics. Springer Berlin / Heidelberg, 52, 153-168
Umlauf, L., Burchard, H., Bolding, K. (2007) GOTM Sourcecode and Documentation. Version 4.0. http://www.gotm.net
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library(plot3D) library(RColorBrewer) data(turbulence) myPalette <- colorRampPalette(rev(c(brewer.pal(11, "RdYlBu"), "darkblue"))) image2D(x=turbulence$time, y=turbulence$depth, z=list(turbulence$temp, turbulence$eddy), main=c("T", "Diff"), las=1, col=myPalette(100), ask=FALSE, clab=list("deg C", "m2/d") )
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