A holistic microclimate model

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apps:datastudio:comparescenarioscriptdetails [2022/01/11 10:32] – freddiapps:datastudio:comparescenarioscriptdetails [2022/01/29 12:32] (current) – 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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 //(lines 32 - 33 in current script version)// //(lines 32 - 33 in current script version)//
  
-With index 0 we start at 23.06.2018 08:00h and with index 30 we end at 24.06.2018 14:00h. +With index 0 we start at 23.06.2018 08:00h and with index 92 we end at 27.06.2018 04:00h. 
  
 Anyway, if the simulation periods between both scenarios do not match, we need to define the indexes separately for each folder (scenario).  Anyway, if the simulation periods between both scenarios do not match, we need to define the indexes separately for each folder (scenario). 
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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.