knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
To begin, we’ll load foqat
.
library(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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