NGEE
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
2017
- Fall 2017: Muskox knock over precip bucket.
- 10/16/2017 12:00 end of precip season for kougarok.
2018
- 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
2017
- I have open questions about PRI index value but the data from the sensors themselves looks ok.
- I reviewed photos from June 2017 station visit and October 2017 station visit. The radiation arm appears to have not moved over this interval.
2018
- I know we leveled the radiometer arm on the snow survey trip in early April but I can't remember if the cross arm had moved... I think it maybe had...?
- I thought maybe Cathy/Bob visited the station and grabbed pictures a day or two before I was able to get up there.
- Declaring data bad 5/14/18 13:00 till station visit on 6/14/18 22:00
- second bump was gentle enough there is no obvious error in SW data from June till September visit even though the Musk Ox twisted 10 degrees or something the station.
Radiation Snippet
- ... for trying to pin down when the muskox move the CNR4...
- Need to compared albedo here to K2 Met... & incoming shortwave radiation
- ... albedo didn't show anything but incoming shortwave radiation shows a shift on 5/14/18 13:00 so I'm going to 6999 from there till June station visit.
import numpy
import pandas
stryear="2018.csv"
sensor_k2 = "/var/site/uaf_sp/k-met/outputs/k2_met_albedo_" + stryear
df_k2 = pandas.read_csv(sensor_k2, skiprows=3, index_col=0)
df_k2.index = pandas.to_datetime(df_k2.index)
df_k2 [df_k2>1]= numpy.NaN
df_k2 = df_k2.resample('24H').mean()
path="/var/site/uaf_sp/ngee_koug_met/outputs/years/albedo_Avg/albedo_Avg_" + stryear
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 = "/var/site/uaf_sp/ngee_koug_met/outputs/koug_summary_albedo.csv"
dataset=pandas.concat([ df4, df_k2] ,axis=1)
dataset.to_csv(outfile)
Soil Notes
