Difference between revisions of "NGEE Kougarok M64 Notes"
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===Radiation Notes=== | ===Radiation Notes=== | ||
* I have open questions about PRI index value but the data from the sensors themselves looks ok. | * I have open questions about PRI index value but the data from the sensors themselves looks ok. | ||
| − | + | * Snippet for trying to pin down when the muskox move the CNR4... | |
| + | <pre> | ||
| + | import numpy | ||
| + | import pandas | ||
| + | stryear="2018" | ||
| + | path="/var/site/uaf_sp/ngee_koug_" | ||
| + | sensor4 = path + "met/outputs/years/albedo_Avg/albedo_Avg_" + stryear + ".csv" | ||
| + | df4 = pandas.read_csv(sensor4, skiprows=3, index_col=0) | ||
| + | df4.index = pandas.to_datetime(df4.index) | ||
| + | df4 [df4>100]= numpy.NaN | ||
| + | df4 = df4.resample('24H').mean() | ||
| + | df4.rename(columns = {'Avg' : 'Albedo'}, inplace=True) | ||
| + | outfile = path + "met/outputs/ngee_koug_albedo.csv" | ||
| + | df4.to_csv(outfile) | ||
| + | </pre> | ||
===Soil Notes=== | ===Soil Notes=== | ||
* VATP looks good | * VATP looks good | ||
Revision as of 10:09, 16 October 2018
Site Visits
- 6/24/2017 (Bob and Lily Site Install)
- 8/19/2017 (Lily and ABOVE Team)
- 10/5/2017 (Bob and Lily Fall Visit)
- 4/3/2018 (Snow Team)
- 6/14/2018 (Bob and Nathan)
- 9/22/2018 (Bobs and CAS)
Processed through
- AT/RH/Precip / WS / WD / BP through 4/3/2018
- Radiation through 4/3/2018
- VATP through 4/3/2018
Met Notes
- Fall 2017: Muskox knock over precip bucket.
- 10/16/2017 12:00 end of precip season for kougarok.
- 6/14/2018 Fixed precip bucket, noticed Musk ox twisted tower center mast at some point so Wind Direction and Radiation have been off for a TBD amount of time.
- NAN through 6/15/2018 00:00 time step (the test tips)
- 9/22/2018 musk ox twisted center mast a bit again. WD off, Radiation still pretty closer to still on.
Radiation Notes
- I have open questions about PRI index value but the data from the sensors themselves looks ok.
- Snippet for trying to pin down when the muskox move the CNR4...
import numpy
import pandas
stryear="2018"
path="/var/site/uaf_sp/ngee_koug_"
sensor4 = path + "met/outputs/years/albedo_Avg/albedo_Avg_" + stryear + ".csv"
df4 = pandas.read_csv(sensor4, skiprows=3, index_col=0)
df4.index = pandas.to_datetime(df4.index)
df4 [df4>100]= numpy.NaN
df4 = df4.resample('24H').mean()
df4.rename(columns = {'Avg' : 'Albedo'}, inplace=True)
outfile = path + "met/outputs/ngee_koug_albedo.csv"
df4.to_csv(outfile)
Soil Notes
- VATP looks good
