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updates to observation data #34

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sdtaylor opened this issue Jul 8, 2018 · 0 comments
Open

updates to observation data #34

sdtaylor opened this issue Jul 8, 2018 · 0 comments

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@sdtaylor
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sdtaylor commented Jul 8, 2018 •
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I'm making the switch to using the "Individual Phenometrics" data instead of the "Status and Intensity" data. The former summarizes things into first "yes" dates for all individual trees, which I was doing manually myself. This NPN summarized data also has better conflict flags which can be used to filter out most of the problematic group sites.

Data download for all prior data used in model buidling (2008 - 2017)
https://data.usanpn.org/observations?search=3dd370f197c6ae95e881f0e93cc56ae8
sdtaylor added a commit to sdtaylor/phenology_forecasts_data that referenced this issue Jul 9, 2018
@sdtaylor
This is a redo of the ensemble models from c2cdbfc
5d6a3b1 
The differences are they are now using the NPN formated data,
see prior commit and sdtaylor/phenology_forecasts#34.
Also because of this the phenophase 498 models are no longer
using "intensity was >= 50%" as used in c2cdbfc, but the
first 'yes' doy as used in other phenophases

For phenophases 371 and 501 the following models were included.
m1 = pyPhenology.models.Alternating()
m2 = pyPhenology.models.ThermalTime()
m3 = pyPhenology.models.Uniforc()
m4 = pyPhenology.models.Linear(parameters={'time_start':(-30,60), 'time_length':(1,120)})

For newly added phenophase 498 (fall coloring) the following were used
m1 = pyPhenology.models.Linear(parameters={'time_start':(180,300), 'time_length':(10,90)})
m2 = pyPhenology.models.FallCooling()
@sdtaylor sdtaylor mentioned this issue Jul 13, 2018
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