Evapotranspiration Measurement Schemes

Direct (Lysimeter)
This device consistes of a block of soil covered with vegetation.  The block of soil is initially removed from the forest and placed into a container.   Next the block of soil is returned to its original location so that the container as well as the soil is set into the ground.  Over time, the input of precipitation is measured via rain aguages and the drainage output is recorded.  During this same interval, the block of soil is frequently massed to estimate the amunt of water loss via evapotranspiration.  
evapotranspiration. ∝ precipitation - drainage - ∆mass
Indirect (Water balance)
Although lysimeters may be effective in accurately determining evapotranspiration levels, on a large scale it would be impossible to implement such a design.  Researchers therefore have come to use large scale measurements of rainfall to determine evapotranspiration levels.  Typically rainfall data is gathered from satellites and then using a particular algorith, evapotranspiration is determined.

Adding energy balance considerations, one can derive more accurate predictions of evapotranspiration and evaporation.  For specific plants, a simple equation can be written to express the maximum evapotranspiration (ET M ) for that plant.  This value is related to the maximum evapotranspiration for a reference plant (ET0) such as green grass and a dimensionless coefficient for the specific plants (KC).
ET 0 = A + BRG + CRGTA
ETM = KCET0


This however, is just one estimation of evapotranspiration.  Countless other studies have developed estimations based on similar principles.  Another such equation relates evapotranspiration to net radiation (Rn), surface temperature (Ts), and air temperature (Ta).
ET = Rn + A - B (Ts - Ta),
where A and B are constants.

Evapotranspiration mechanisms

Mechanism controlling changes in evapotranspiration are primarily driven by changes in albedo, roughness and the depth of water available to plant roots.  Increased albedo inhibits absorption of the incoming solar radiation, reducing the available energy for latent-heat exchanges.


Evaporation

Evaporation can be indicated by a measure called the precipitation recycling ration (p).  This ratio is the contribution of evaporation within a region to precipitation in the same regio.  A high precipitation recycling ratio estimate is not sufficient to conclude a strong role for land surface hydrology in the regional climate.  Rather, it suggests a strong potential for significant changes in surface hydrology to impact regional climate.

The following model makes two assumptions: 1) atmospheric water vapor is well-mixed, and 2) the rate of change of storage of water vapor is negligible compared with water vapor fluxes at the time-scale for which the model is applicable.  The model gives two distinct relationships for water vapor evporation, that within the region, and that outside the region, yielding the equation

           
(Iw + E)
p =  ---------------------
         (Iw + E + IO)

where inflow is represented by I, evaporation is represented by E, and the subscripts o and w represent outside the region and inside the region respectively.

Careful observation of evaporation data has led to the conclusion that the atmosphere above the Amazon basin is not a closed sytem.  Data suggests that theere is a significant migration of moisture out of the basin.  Futhermore, this flux out of the basin accounts for only 68% of the flux into the system.  This means that the outflow of atmospheric moisture from the basin may contribute important input to the hydrologic cycles of the surrounding regions.  Further, changes in the Amazon basin evaporation may potentially affect the moisture supply and rainfall of surrounding regions.


Evapotranspiration Data

The Amazon rainforest is highly efficient in recycling water vapor back into the atmosphere .  Measuring this parameter however, is has proved extremely difficult. Evapotranspiration levels are highly variable across the Amazon basin as evidenced by the following data:
Results of evapotranspiration are summarized below:

Hyrdologic cycle of the Amazon Region


Research
Rainfall
Transpiration
Evapotranspiration
Runoff

mm
mm
%
mm/day
mm
%
mm/day
mm
%
Marques et al. 1980
2328



1260
54.2
3.5
1068
45.8

23289



1000
43.0 2.7
1328
57.0

2328



1330
57.1
3.6
998
42.9
Villa Nova et al. 1976
2000



1460
73.0
4.0
540
27.0





1168
58.4
3.2
832
41.6

2105



1569
73.4
4.3
532
26.6
Molion 1975
2379



1146
48.2
3.2
1233
51.8
Ribeiro et al. 1979
2478



1536
62.2
4.2
942
38.0





1508
60.8
4.1
970
39.2
Ipean 1978
2179



1475
67.5
4.0
704
32.5





1320
60.6
3.6
859
39.4
Dmet 1978
2207



1452
65.8
4.0
755
34.2





1306
59.2
3.6
901
40.8
Jordan et al. 1981
3664
1722
47.0
4.7
1905
52.0
5.2
1759
48.0
Leopolo et al. 1981
2089
1014
48.5
2.7
1542
74.1
4.1
5441
25.9
Leopolo et al. 1982
2075
1287
62.0
3.5
1675
80.7
4.6
400
19.3
Shuttleworth 1988
2636
992
37.6
2.7
1320
50.0
3.6


Able-2B 1987 (1 month)
290



157
54.1
5.2




Summary of Surface Variables for Control (C) and Deforested (D) Simulations Averaged over 3 years for Amazonia

Surface Variable
Control
Deforested
Precent Difference
Evapotranspiration (m/d)
3.12
2.27
-27.2%
Precipitation (m/d)
6.60
5.26
-20.3%
Soil Moisture (cm)
16.13
6.66
-58.7%
Runoff (m/d)
3.40
3.00
-11.9%
Net Raditation (W/m^2)
147.29
125.96
-14.4%
Temperature (C)
23.55
25.98
10.3%
Sensible Heat (W/m^2)
57.19
60.15
5.2%
Bowen Ratio
0.85
1.50
76.5%


Mean water budget for Amazonia. The data re 12-month mean (January to December) values



Total Precipitation (P) (mm/year)
Evapotranspiration (E) (mm/year)
E-P
E/P
Precipitable Water (mm)
Control
2464
1657
-807
0.67
37.7
Deforestation
1821
1161
-661
0.63
35.4
Difference
-642
-496
+146
-0.04
-2.3
Change (%)
-26.1
-30.0
+18.0
-5.9
-6.1


Evapotration Data

The contribution to rainfall of precipitation recycling increases westward and southward.  The maximum rate of recylcing occurs at the south-western corner of the basin, where more than 50% of the precipitation is contributed to by evaporation.


Sources


Possible climatic impacts of amazonia deforestation
Authors: Nobre, Carlos A.
Source: Water Management of the Amazon Basin, (245-260)
Editors: Braga, Benedite P. F., Jr., and Fernandez-Jauregui, Carlos A.

Date: August 1991

Water and salt balances of the Bolivian Amazon

Authors: Roche, M. A., et al.
Source: Water Management of the Amazon Basin, (83-94)
Editors: Braga, Benedite P. F., Jr., and Fernandez-Jauregui, Carlos A.

Date: August 1991

A GCM simulation of the impact of Amazonian deforestation on climate using an improved capony representation
Authors: Lean, J. and Rowntree, P. R.
Source: Quarterly Journal of the Royal Meteorological Society 119 pp 509-530
Date: 1993

Precipitation recycling in the Amazon basin
Authors: Eltahir, E. A. B. and Bras, R. L.
Source: Quarterly Journal of the Royal Meteorological Society 120 P861-880
Date: 1994