Surface Energy Balance

Surface Energy Balance

Today’s learning objectives

  • Define the energy balance equation for an ideal surface.
  • Describe how energy fluxes vary between daytime and nighttime.
  • Define the Bowen ratio.
  • Explain when can we reduce a 3D land-atmosphere interface to 1D.

Why are we interested in the ‘surface’?

  • Ultimate goal: Predicting and managing surface-atmosphere interactions.

  • Quantifying the impact of one system on another one.

  • Understanding a system’s interior dynamics (black box).

  • Boundary condition:

    • Lower boundary condition for the ABL
    • Upper boundary for soil climates
    • Outer boundary for organisms and buildings

Types of Surface-Atmosphere Interfaces

Simple, homogenous bare soil/rock surface

Types of Surface-Atmosphere Interfaces

Complex, vegetated surface (e.g., a forest canopy)

Types of Surface-Atmosphere Interfaces

“Two-dimensional”, semi-transparent surface (e.g., a leaf)

Types of Surface-Atmosphere Interfaces

Three-dimensional volume (e.g., an animal)

Energy Fluxes at Earth’s Surface

  • ‘Ideal’ surface considered here is smooth, horizontal, homogeneous, extensive, and opaque to radiation.
  • Only vertical fluxes need to be considered.
  • The storage term is dropped \(\Delta S=0\)

\[ \color{orange}{R_n} = \color{red}{H} + \color{blue}{LE} + \color{purple}{G} \qquad(1)\]

Sign Convention

  • All the radiative fluxes directed toward the surface are positive.
  • Non-radiative energy fluxes directed away from the surface are positive.
    • Each component is on an interval scale

\[ \color{orange}{R_n} = \color{red}{H} + \color{blue}{LE} + \color{purple}{G} \qquad(2)\]

Sign Convention (iClicker)

Which component(s) of the energy balance can take negative values?

  • Net-Radiation
  • Sensible & Latent Heat Flux
  • Ground Heat Flux
  • All of the above
  • None of the above

Daytime

  • Typically:
    • \(R_n\) > 0
    • \(H\), \(LE\), and \(G\) > 0
  • There are plenty of exceptions

\[ \color{orange}{R_n} = \color{red}{H} + \color{blue}{LE} + \color{purple}{G} \qquad(3)\]

Nighttime

  • Typically:
    • \(R_n\) < 0
    • \(H\), \(LE\), and \(G\) < 0
  • There are plenty of exceptions

\[ \color{orange}{R_n} = \color{red}{H} + \color{blue}{LE} + \color{purple}{G} \qquad(4)\]

Bowen Ratio

The Bowen Ratio (\(B\)) is used to express the partitioning of net radiation at a surface.

\[ B = \frac{H}{LE} \qquad(5)\]

\[ \color{orange}{R_n} = \color{red}{H} + \color{blue}{LE} + \color{purple}{G} \qquad(6)\]

Bowen Ratio (iClicker)

On a hot sunny day, which surface would you expect to have the largest Bowen Ratio?

  • The Ocean
  • Ice Sheet
  • A Wheat Field
  • A Pine Forest
  • Desert Sand

\[ B = \frac{H}{LE} \qquad(7)\]

Bowen Ratio Method

\[ B = \frac{H}{LE} \qquad(8)\]

\[ LE = \frac{R_n-G}{1+B} \qquad(9)\]

\[ H = \frac{R_n-G}{1+B^{-1}} \qquad(10)\]

\[ \color{orange}{R_n} = \color{red}{H} + \color{blue}{LE} + \color{purple}{G} \qquad(11)\]

Bowen Ratio Method

Assuming \(B= 5.0\) with daytime \(R_n = 250 \rm{W m^{-2}}\) & \(B = 75 \rm{W m^{-2}}\), estimate \(\rm{LE}\) & \(\rm{H}\).

def Bowen_Method(B,R_n,G):
  H = (R_n-G)/(1+B**-1)
  LE = (R_n-G)/(1+B)
  return(H,LE)

H,LE=Bowen_Method(5.0,250.0,75.0)

print(f'H = {H:.2f} & LE {LE:.2f} W m^-2')
H = 145.83 & LE 29.17 W m^-2

Bowen Ratio Method

Assuming \(B= 4.0\) with daytime \(R_n = -55 \rm{W m^{-2}}\) & \(B = -25 \rm{W m^{-2}}\), estimate \(\rm{LE}\) & \(\rm{H}\).

Bowen_Method<- function(B,R_n,G){
  H = (R_n-G)/(1+B**-1)
  LE = (R_n-G)/(1+B)
  return(c(H,LE))
}

out=Bowen_Method(4.0,-55.0,-25.0)

sprintf('H = {%.2f} & LE {%.2f} W m^-2',out[1],out[2])
[1] "H = {-24.00} & LE {-6.00} W m^-2"

When The Method Fails

This method relies on the assumption of Homogeneity.

  • Rough or irregular surfaces violate that assumption.

When The Method Fails

This method relies on the assumption of Homogeneity.

  • Rough or irregular surfaces violate that assumption.

Photo: A. Christen

Adding A Storage Term

When dealing with more complex, 3D volumes:

  • We need to account for the storage
  • Energy can be stored above and below the surface

Adding A Storage Term

  • Net chemical energy & sensible heat storage in biomass
  • Net sensible & latent heat storage in canopy air
  • Net sensible heat storage in structures

\[ \color{orange}{R_n} = \color{red}{H} + \color{blue}{LE} + \color{purple}{G} + \color{green}{\Delta S} \qquad(12)\]

Real world examples: Fallow rice field

Real world examples: Freshwater marsh

Real world examples: Deciduous shrub wetland

Magnitudes Highly Variable

Freshwater Marsh (California)

Shrub Wetland (Wisconsin)

Magnitudes Highly Variable

Shrub Wetland (Spring)

Shrub Wetland (Summer)

Energy Balance of a Leaf

  • A surface within a single medium (e.g. a leaf surrounded by air).
  • No third dimension, so heat storage is neglected.
  • Energy flux densities on both sides have to be taken into account.
  • Orientation of the surface is important for exchange processes (radiation).
  • Storage of chemical energy

Energy Balance of a 3D Object

Usually an organism or object (animal, person, building) surrounded by air.

  • Heat and mass storage in the interface has to be taken into account. In living organisms the metabolic heat plays a role. In some cases, anthropogenic heat (e.g. combustion processes) might be important.

Applications

  • The energy budget over terrestrial surfaces is a key determinant of the land surface climate and governs a variety of physical, chemical and biological surface processes.
  • Estimation of the rate of evaporation from bare ground and water surfaces and evapotranspiration from vegetative surfaces.
  • Prediction of surface temperature.

Wang et al. 2015

Take home points

  • Land-atmosphere interfaces are complex boundaries, with significant energy and mass exchange.
  • We covered the surface energy balance of (1) flat surfaces, (2) canopies, and (3) two-sided objects.
  • The Bowen ratio of the ratio of sensible to latent heat.
  • We explored how the surface energy budget varies by surface type and its characteristics (soil moisture, texture, vegetation, etc.), geographical location, month or season, time of day, and weather.