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+00
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