--- title: "Atmospheric Radiation" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Atmospheric_Radiation} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ``` To begin, we’ll load `foqat`. ```{r setup} library(foqat) ``` ## Calculate TUV in batch online 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. ```{r eval = FALSE} #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 ```