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MIKE21 HD
Hydrology Vistula Catchment
Metocean track comparison
Gridded NetCDF ModelResult
Prematched with auxiliary
Compare with dummy results
Custom metric
Directional data comparison
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Examples
Comparing Directional Data (e.g. wind direction)
Comparing directional data is easy from version 1.0 if the quantity is defined as directional. This happens automatically if data is loaded from a dfs file with EUM unit in…
Custom Metrics
ModelSkill comes with many metrics to choose from, but you can also define your own.
Gridded NetCDF modelresults
2D modelresults stored in NetCDF or Grib can be loaded to ModelSkill using xarray. In this way, MIKE 21 modelresults in dfsu format can easily be compared to model results…
Hydrology example from the Vistula catchment in Poland
The Vistula catchment is the largest catchment in Poland, with an area of 194,424 km2. This notebook shows how a hydrological model can evaluated using ModelSkill.
Is my model better than predicting the mean?
It is easy to be convinced that a model is good if it has a low error.
MIKE21 HD
Water level comparison between MIKE21 HD and observations from the Oresund.
Metocean track comparison
Comparing MIKE 21 HD dfsu model result with satellite track observation of surface elevation.
Pre-matched data with auxiliary data
The function
from_matched()
takes a dataframe, a dfs0 or a mikeio.Dataset of already matched data and returns a Comparer object.
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MIKE21 HD