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To begin, we’ll load foqat.
TUV models are available in both online and offline versions, but both require running on a daily basis (i.e., resetting parameters every day of the run).
tuv_batch() runs the online batch TUV by reading a time
series of the proposed input parameters and their values, and aggregates
the results to a new data frame.
tuv_batch() automates the online TUV calculation (https://www.acom.ucar.edu/Models/TUV/Interactive_TUV/).
Four output modes are supported:
Output mode 2: Molecular photolysis frequencies (109 photoreactions).
Molecular photolysis frequencies (109 photoreactions).
Output mode 3: Weighted irradiance (27 weighting functions).
Output mode 4: Spectral actinic flux.
Output mode 5: Spectral irradiance.
#Examples.
#output molecular photolysis frequency (109 light reactions)
#Time range: March 1, 2021
#Resolution: hour
#Ground elevation 1 km
#Measured altitude 1.05 km
#Longitude 109.747144 °
#latitude 38.298267 °
#Ozone column concentration 306 DU
df=data.frame(
time=seq(as.POSIXct("2021-03-01 00:00:00",tz="GMT"), as.POSIXct("2021-03-01 3:00:00",tz="GMT"), by="hour"),
gAltitude=rep(1, 4),
mAltitude=rep(1.05, 4),
longitude=rep(109.747144, 4),
latitude=rep(38.298267, 4),
ozone=rep(306, 4)
)
tuv_df=tuv_batch(df, inputMode=0, outputMode=2, nStreams=-2)
#> [1] "Running TUV on the inputs:"
#Show columns 1 to 3
head(tuv_df[,1:3])
#> time PHOTOLYSIS RATES 1 O2 -> O + O
#> 1 0 1/sec 0.000E+00
#> 2 1 1/sec 0.000E+00
#> 3 2 1/sec 0.000E+00
#> 4 3 1/sec 0.000E+00These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.