calc.lw.net: Estimate net long wave heat radiation

In clairervh/LakeMetabolizer: Tools for the Analysis of Ecosystem Metabolism

Description

Returns the net long wave radiation based on Crawford and Duchon, 1999.

Usage

calc.lw.net(ts.data, lat, atm.press)

calc.lw.net.base(dateTime, sw, Ts, lat, atm.press, airT, RH)

Arguments

ts.data	Object of class data.frame including the required variables(see details for list of variables and their units)
lat	latitude in degrees north
atm.press	atmospheric pressure in mb
dateTime	vector of datetime in POSIXct format
sw	numeric value of short wave radiation, W/m2
Ts	numeric value of surface water temperature, degC
airT	numeric value of air temperature, degC
RH	numeric value of relative humidity, %

Value

## for calc.lw.net.base

A numeric value of net long wave heat flux in W/m^2

## for calc.lw.net

A data.frame with columns datetime and lwnet in W/m^2

Author(s)

R Iestyn Woolway Jordan S. Read Hilary Dugan Luke Winslow

References

Crawford, T.M., and Duchon, C.E. 1999. An improved parameterization for estimating effective atmospheric emissivity for use in calculating daytime downwelling longwave radiation. Journal of Applied Meteorology 38: 474-480.

See Also

k.read and k.macIntyre

Examples

## Base example
dateTime <- as.POSIXct("2013-12-30 23:00")
Uz <- 3
airT <- 20
RH <- 90
sw <- 800
wndZ <- 2
Kd <- 2
lat <- 54
lake.area <- 5000 
atm.press <- 1013
Ts <- 22
calc.lw.net.base(dateTime,sw,Ts,lat,atm.press,airT,RH)

## Example using timeseries in a data frame
data.path = system.file('extdata', package="LakeMetabolizer")

sp.data = load.all.data('sparkling', data.path)

# Prep the input data
ts.data	= sp.data$data #pull out just the timeseries data
atm.press	= 1018
lat	= sp.data$metadata$latitude

lwnet = calc.lw.net(ts.data, lat, atm.press)
plot(lwnet$datetime, lwnet$lwnet)

clairervh/LakeMetabolizer documentation built on May 12, 2019, 2:05 p.m.