A holistic microclimate model

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apps:datastudio:comparescenarioscriptdetails [2022/01/11 10:32] – freddiapps:datastudio:comparescenarioscriptdetails [2022/01/29 12:15] – freddi
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 === General advice === === General advice ===
-  * Both scenarios should use the same meteorological conditions to keep the results compareable+  * Only change one input parameter at once (e.g. for scenario 2: only change the meteorological conditions and keep the model area the same or do it the other way around). Thus, the results are still compareable. 
   * The area of interest should exist in both scenarios.   * The area of interest should exist in both scenarios.
   * The script output should be shown together with screenshots of both model areas (scenario 1 and scenario 2)    * The script output should be shown together with screenshots of both model areas (scenario 1 and scenario 2) 
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 Now the timespteps match again. Otherwise you would compare different timesteps. Now the timespteps match again. Otherwise you would compare different timesteps.
  
-== Advanced Settings ==+=== Advanced Settings ===
  
-There is the option that you compare maximum or minimum values instead of the mean values. To do so, change lines 133 - 139 (in current script version) as follows: +There is the option to compare maximum or minimum values instead of the mean values. To do so, change lines 133 - 139 (in current script version) as follows: 
-= Mean vallues (default) =+== Mean vallues (default) ==
 <code python> <code python>
 #vals1 = (np.nanmin(data1, axis=1), "Min.") #vals1 = (np.nanmin(data1, axis=1), "Min.")
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 </code> </code>
  
-= Maximum values =+== Maximum values ==
 <code python> <code python>
 #vals1 = (np.nanmin(data1, axis=1), "Min.") #vals1 = (np.nanmin(data1, axis=1), "Min.")
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 </code> </code>
  
-= Minimum values = +== Minimum values == 
 <code python> <code python>
 vals1 = (np.nanmin(data1, axis=1), "Min.") vals1 = (np.nanmin(data1, axis=1), "Min.")
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 If all settings are done, the script is ready to get executed. The output should look like this: If all settings are done, the script is ready to get executed. The output should look like this:
  
-{{:apps:datastudio:compscenoutput.png}}+{{:apps:datastudio:compscenoutput_atm.png}} 
 + 
 +If you would like to analyse pollutant-data instead, an output for e.g. NO2-concentration could look like this: 
 + 
 +{{:apps:datastudio:compscenoutput_polu.png}} 
 + 
 +==== Technical Note ==== 
 +Note that the execution-time of the script may be unexpected high, especially when you compare longer time periods or large areas. This is caused by limited implementation options caused by the Delphi-Python-interface. During execution, the GUI might not be reactive.