Add infrastructure to compute errors against observations #625
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Thanks Gabriele! Here are a few minor comments. I need to spend more time understanding how sampling over time works, but other than that it looks good. Also If I understand correctly it is now plotting the rmse map, not the bias map you showed in the comment?
| A struct to describe some observation data that we want to compare against. | ||
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| struct ObsDataSource |
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Just note that we will compare with data that has a z dimension as well, but we can add that when we are actually doing it.
| A struct to describe some simulation data. | ||
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| """ | ||
| struct SimDataSource |
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Same here, we will need the height information in the future.
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This PR introduces a new module,
Leaderboard, currently living in the AMIP experiment.LeaderboardusesNCDatasetsandClimaAnalysisto compute error maps between observations and simulations.Leaderboarddefines two new structsObsDataSourceandSimDataSource.ObsDataSourcedescribes some observational data (contained a NetCDF file) by specifying the name of the variable and other attributes.SimDataSourcedoes the same for simulated (atmos) data.The
rmseerror takes these two data structures and a target date, resamples the observational data to the simulated output grid (with a 0th order interpolation scheme, ie nearest neighbors). Then, it computesThis variable is neatly packaged in a
ClimaAnalysis.OutputVarso that it can be directly plotted.Leaderboardalso provides an numerical integration routine on the sphere. Withintegrate_on_spherethe RMSE can be integrated over the sphere to condense it to a single number (a 1/4pi might be needed to normalize the integration volume). These values are saved in the attributes of theOutputVarproduced bybias.Closes #407