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 When you start to get in touch with ENVI-met, you should build **small** models, e.g. in the size of 30x30 grids. These models will run very quickly and you will get your results very soon. You will also get back negative feedback very soon, if your model cannot be simulated properly due to the selected settings or other issues.
-As you run simple simulation, you will more and more understand how the system works and which are the triggers and settings you need to modify to control your simulation. You will also see, that a numerical climate model is a highly non-linear system. Small issues, uncertainties or changes can lead to large changes or problems in the overall simulation, which is the famous [[wp>Butterfly_effect|Butterfly Effect]] in [[wp>Chaos_theory|Chaos Theory]].
+As you run simple simulations, you will more and more understand how the system works and which are the triggers and settings you need to modify to control your simulation. You will also see, that a numerical climate model is a highly non-linear system. Small issues, uncertainties or changes can lead to large changes or problems in the overall simulation, which is the famous [[wp>Butterfly_effect|Butterfly Effect]] in [[wp>Chaos_theory|Chaos Theory]].
 As a matter of fact, ENVI-met is not a "normal" computer program, in which every action has a clear result and the failure to produce a result or an error message is a software programming failure. In many cases, you will need a lot of thinking and analysing, why the model results are as they are. Besides a feeling for numerical models, this also requires knowledge in microclimate and atmospheric physics.