R/hffmc.r

Defines functions hffmc

Documented in hffmc

hffmc <- function(weatherstream, ffmc_old = 85, time.step = 1, 
                  calc.step = FALSE, batch = TRUE, hourlyFWI = FALSE) {
  #############################################################################
  # Description: Diurnal (Hourly) Fine Fuel Moisture Code Calculation. Most of 
  #              the equations in this code refer to the Van Wagner (1977), with
  #              some equations contained in Van Wagner & Pickett (1985).
  #              Additionally, some modifications were made for precision.
  #
  #              Van Wagner, C.E. 1977. A method of computing fine fuel moisture
  #              content throughout the diurnal cycle. Environment Canada, 
  #              Canadian Forestry Service, Petawawa Forest Experiment Station, 
  #              Chalk River, Ontario. Information Report PS-X-69. 
  #              http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/25591.pdf
  # 
  #              Equations and FORTRAN program for the Canadian Forest Fire 
  #              Weather Index System. 1985. Van Wagner, C.E.; Pickett, T.L. 
  #              Canadian Forestry Service, Petawawa National Forestry 
  #              Institute, Chalk River, Ontario. Forestry Technical Report 33. 
  #              18 p.
  #
  #              Additional reference on FWI system
  #
  #              Development and structure of the Canadian Forest Fire Weather 
  #              Index System. 1987. Van Wagner, C.E. Canadian Forestry Service,
  #              Headquarters, Ottawa. Forestry Technical Report 35. 35 p.
  #  
  #
  # Args: weatherstream:   Input weather stream data.frame which includes
  #                        temperature, relative humidity, wind speed, 
  #                        precipitation, hourly value, and bui. More specific
  #                        info can be found in the hffmc.Rd help file.
  #            ffmc_old:   ffmc from previous timestep
  #           time.step:   The time (hours) between previous FFMC and current
  #                        time.
  #           calc.step:   Whether time step between 2 obs is calculated
  #                        (optional)
  #               batch:   Single step or iterative (default=TRUE)
  #           hourlyFWI:   Can calculated hourly ISI & FWI as well 
  #                        (TRUE/FALSE, default=FALSE)
  #
  # Returns: A single or multiple hourly ffmc value(s)
  #
  #############################################################################
  t0 <- time.step
  names(weatherstream) <- tolower(names(weatherstream))
  #set up number of stations
  if (batch){
    if ("id" %in% names(weatherstream)) { 
      n <- length(unique(weatherstream$id))
      if(length(unique(weatherstream[1:n,"id"])) != n){
        stop("Multiple stations have to start and end at the same dates/time, 
             and the data must be sorted by date/time and id")
      }
    } else {
      n <- 1
    }
  }else{
    n <- nrow(weatherstream)
  }
  
  if (length(ffmc_old) == 1 & n > 1){
    Fo <- rep(ffmc_old, n)
  } else {
    Fo <- ffmc_old
  }
  
  #set some local scope variables
  Tp <- weatherstream$temp
  H  <- weatherstream$rh
  W  <- weatherstream$ws
  ro <- weatherstream$prec

  #Check that the parameters are correct
  if (calc.step){
    hr <- weatherstream$hr
    if (!exists("hr") | is.null(hr)) 
      warning("hour value is missing!")
  }
  if (!exists("Tp") | is.null(Tp)) 
    warning("temperature (temp) is missing!")
  if (!exists("ro") | is.null(ro)) 
    warning("precipitation (prec) is missing!")
  if (!exists("W") | is.null(W)) 
    warning("wind speed (ws) is missing!")
  if (!exists("H") | is.null(H)) 
    warning("relative humidity (rh) is missing!")
  if (length(H)%%n != 0)
    warning("Weatherstream do not match with number of weather stations")
  #Length of weather run
  n0 <- length(H) / n
  f <- NULL
  #For each day in the run
  for (i in 1:n0){
    #k is the data for all stations by day
    k <- ((i - 1) * n + 1):(i * n)
    if (calc.step & i > 1) {
      t0 <- ifelse(n0 > 1, hr[k] - hr[k-n], t0)
      t0 <- ifelse(t0 == -23, 1, t0)
      t0 <- ifelse(t0 < 0, -1 * t0, t0)
    }
    #Eq. 1 (with a more precise multiplier than the daily)
    mo <- 147.27723 * (101 - Fo)/(59.5 + Fo)
    rf <- ro[k]
    #Eqs. 3a & 3b (Van Wagner & Pickett 1985)
    mr <- ifelse(mo <= 150, 
            mo + 42.5 * rf * exp(-100 / (251 - mo)) * (1 - exp(-6.93 / rf)),
            mo + 42.5 * rf * exp(-100 / (251 - mo)) * (1 - exp(-6.93 / rf)) + 
              0.0015 * ((mo - 150)^2) * (rf^0.5))
    #The real moisture content of pine litter ranges up to about 250 percent,
    # so we cap it at 250
    mr <- ifelse(mr > 250, 250, mr)
    mo <- ifelse(ro[k] > 0.0, mr, mo)
    #Eq. 2a Equilibrium moisture content from drying
    Ed <- 0.942 * (H[k]^0.679) + 11 * exp((H[k] - 100) / 10) + 0.18 * 
          (21.1 - Tp[k]) * (1 - exp(-0.115 * H[k]))
    #Eq. 3a Log drying rate at the normal temperature of 21.1C
    ko <- 0.424 * (1 - (H[k] / 100)^1.7) + 0.0694 * (W[k]^0.5) * 
          (1 - (H[k] / 100)^8)
    #Eq. 3b
    kd <- ko * 0.0579 * exp(0.0365 * Tp[k])
    #Eq. 8 (Van Wagner & Pickett 1985)
    md <- Ed + (mo - Ed) * (10^(-kd * t0))
    #Eq. 2b Equilibrium moisture content from wetting
    Ew <- 0.618 * (H[k]^0.753) + 10 * exp((H[k] - 100) / 10) + 0.18 * 
          (21.1 - Tp[k]) * (1 - exp(-0.115 * H[k]))
    #Eq. 7a Log wetting rate at the normal temperature of 21.1 C    
    k1 <- 0.424 * (1 - ((100 - H[k]) / 100)^1.7) + 0.0694 * 
      (W[k]^0.5) * (1 - ((100 - H[k]) / 100)^8)
    #Eq. 4b 
    kw <- k1 * 0.0579 * exp(0.0365 * Tp[k])
    #Eq. 8 (Van Wagner & Pickett 1985)
    mw <- Ew - (Ew - mo) * (10^(-kw * t0))
    #Constraints
    m <- ifelse(mo > Ed, md, mw)
    m <- ifelse(Ed >= mo & mo >= Ew, mo, m)
    #Eq. 6 - Final hffmc calculation (modified 3rd constant to 147.27723)
    Fo <- 59.5 * (250 - m) / (147.27723 + m)
    Fo <- ifelse(Fo <=0, 0, Fo)
    f <- c(f, Fo)
  }
  #Calculate hourly isi and fwi
  if (hourlyFWI){
    bui <- weatherstream$bui
    if (!exists("bui") | is.null(bui)){ 
      warning("Daily BUI is required to calculate hourly FWI")
    } else {
      #Calculate ISI
      isi <- .ISIcalc(f, W, FALSE)
      #Calculate FWI
      fwi <- .fwiCalc(isi, bui)
      #Calculate DSR
      dsr <- 0.0272 * (fwi^1.77)
      #Put all data into a data.frame to return
      output <- cbind(weatherstream, 
                      data.frame(ffmc = f, isi = isi, fwi = fwi, dsr = dsr))
      return(output)
    }
    #otherwise just return hffmc
  } else {
    return(f)
  }
}

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cffdrs documentation built on July 1, 2020, 6:04 p.m.