Showing posts with label Potential Evapotranspiration. Show all posts
Showing posts with label Potential Evapotranspiration. Show all posts

Saturday, January 3, 2015

Potential Evapotranspiration

Potential Evapotranspiration (pET) is the keystone of many papers about evaporation and ecohydrology. It is usually believed that it can be established as “a reference condition” (not to be confused with a reference evapotranspiration - rET) that can subsequently be used to determine or frame the actual evapotranspiration (aET) by introducing “resistances” that limit the potential fluxes. 

However, as Brutsaert  says, the concept is a slippery one, and actually as reported by Mac Mahon et al. “there have been many definitions and redefinitions of the term potential evaporation or evapotranspiration“. Granger [1989a, 1989b] seems to have reported at least five of these definitions “but considered only three to be useful”. 
  • the first is defined as the evaporation rate that would occur from a saturated surface with a constant energy supply to the surface 
  • the second is defined as the evaporation rate that would occur from a saturated surface with constant energy supply to, and constant atmospheric conditions over, the surface 
  • the third is defined as the evaporation rate that would occur from a saturated surface with constant atmospheric conditions and constant surface temperature 
Dingman’s (1992, Sect. 7.7.1) definition of potential evapotranspiration says that it “. . . is the rate at which evapotranspiration would occur from a large area completely and uniformly covered with growing vegetation which has access to an unlimited supply of soil water, and without advection or heating effects.” ^1

My definition of pET would be probably simpler than Dingman's one. Consider  a surface under  stationary (i.e. Fixed) meterological/thermodynamical conditions, including wind speed, air humidity, atmospheric and air temperature, and the roughness parameters. I would intend as pET the evapo(transpi)ration happening from the surface as if water supply would be unrestricted and unlimited, like if the surface were a bulk water reservoir, even if the roughness conditions would not be realistic for a water body.

To make the latter statement,  I have formulas in my mind.  Do not blame me if I do not consider as reasonable those empirical definitions of pET which, derived from observation in natural landscapes,  are based on variable thermodynamics, forcings, and turbulence. pET definition requires those conditions fixed, and, while they could be in principle determined experimentally in laboratories' cases, not in the field,  keeping all the fluxes  controlled I have information of only one successful experiment of this type, performed  by Dani Or at ETH.

Back to my equations, the starting point can be the Dalton equation (Deq, I do not claim that it is true, just saying that it is usually believed so, and I am starting from this assumption, but see, for instance here to start thinking to something different):

In Dalton’s equation, pET is when resistance is just the aerodynamic one. So in Deq, pET is pretty well defined.  
In Penman-Monteith (PM) approach, Dalton equation is simplified (for a derivation, see, for instance Entekhabi, 1997 (pg. 4-25), assuming no storage of energy, and no net advection:

So also in PM (which we can consider an approximation of Deq), pET  has a clear interpretation, which is, the ET you obtain by putting any resistance, rg (either representing soil or vegetation, indeed), to zero. Excluding the resistance (and, in case, considerations about roughness) there is no way to distinguish, either in Deq and PM a soil surface from a vegetated surface from a water body. Therefore, my definition of pET is, according to these formulas, universal. 

Unfortunately this is not the same in Priestley-Taylor (PT), which can be seen as a further simplification of PM formula, where the resistance terms simply are not present:

where everything is lumped in the alpha coefficient. What people did in this case, I think, to assess alpha in pET (say alpha_pt) was to measure ET in the field's conditions supposed to be those in which pET realizes, a modus operandi on which, I already said I am skeptic.  ( I confess I did not went into the detail of that literature, see for instance the overview by Cristea et al, 2012 or also Flint and Childs, 1991 and Eichinger et al, 1996). Once your get alpha_pt you can estimate pET. remarkably.  if we are interested in aET, the passage through pET could be not necessary, if we would have a method to directly determine the (mean) PT alpha that correspond to aET directly.

Another step to do is to remind which is the spatial and temporal validity of the above Deq, PM and PT equations. In principle, Deq should be valid over a short period of time (for which statistical turbulence characteristics can be considered assessed), so should be PM and PT. However, in literature daily, weekly and monthly abuse of them is often made without a real theoretical treatment. Especially PM (in its FAO version, Allen et al., 1998) and PT are, in fact, used as formula to regress against data, and various values of the parameter are presented as reliable. But, as we know, the more we go far away from the consistent physical origin of  equations, the more uncertainty we have in our forecasting. 

To be continued ;-). To see some shy hint to what happens when one average in space, see this previous post. To see some more though about Evapotranspiration, here is the whole collection of posts.

^1 - (All of these definitions were grabbed from the Mac Mahon’s paper, that is a source also of reference historical papers - see below)

P.S. - Concerning FAO guideline 56 (see below), there "potential" refers to the well-watered status of the grass but does not mean that surface resistance becomes zero. With the FAO definition of a reference grass surface in terms of height, LAI, stomatal resistance etc., one arrives at almost exactly 70 s/m which is also the recommended value for direct input (see e.g. p. 23/24 of FAO56).  I find it ambiguous, anyway.


References


Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapo- transpiration Guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization of the United Nations, 1998.

Cristea, N.C.; Kampf, S. K. ; and Burges, Stephen J., F.ASCE, Revised Coefficients for Priestley-
Taylor and Makkink-Hansen Equations for Estimating Daily Reference Evapotranspiration, Journal of Hydrologic Engineering, Vol. 18, No. 10, October 1, 2013. ISSN 1084-0699/2013/10- 1289-1300

Dingman, S. L.: Physical Hydrology, Prentice Hall, Upper Savage, New Jersey, 1992.

Eichinger, W.E.; Parlange, M.B.; and Stricker, H., On the concept of equilibrium evaporation and the value of Priestley-Taylor coefficient, Water Resour. Res., vol 32, No. 1, 161-164, 1996

Entekabhi, D, Land surface Processes: basic tools and concepts, p. 4-25, in Marani, M and Rigon R, Hydrometeorology and climatology, Istituto Veneto di Scienze, Lettere ed Arti, Ve, 1997

Flint, A.L.; and Childs, S.W.; Use of Priestley-Taylor evaporation equation for soil water limited conditions in a small forest clearcut, Agricultural and Forest Meteorology, 56, 247-260, 1991

Granger, R. J. and Gray, D. M.: Evaporation from natural nonsaturated surfaces, J. Hydrol., 111, 21–29, 1989.

Granger, R. J.: A complementary relationship approach for evaporation from nonsaturated surfaces, J. Hydrol., 111, 31–38, 1989b.

McMahon,T.A.; Peel, M. C.; Lowe, L.; Srikanthan, R. and T. R. McVicar, Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis, Hydrol. Earth Syst. Sci., 17, 1331–1363, 2013 www.hydrol-earth-syst-sci.net/17/1331/2013/ doi:10.5194/hess-17-1331-2013

Tuesday, December 2, 2014

Evapotranspiration parameters in coarse grained modelling

To have a little rehearsal on Evapotranspiration look first at my post on Potential Evapotranspiration. where its estimation with Dalton equation and simplified model, like Penman-Monteith (PM) or Priestley-Taylor (PT) is covered.  We concentrate here on the simplest of the formulas, the PT's one.

Once your get PT alpha_p, you can estimate pET but still you have to introduce a further reduction to get the actual evapotranpiration (aET). The method popularized by the ecohydrology literature (e.g. read Amilcare Porporato here) is to introduce a linear decrease of pET with water storage in the root zone "reservoir".

Both the passage, the determination of pET in the framework of PT and the linear reduction with storage have, in my view, strong drawbacks from the quantitative point of view.
One can get the alphap, but literature show a huge variability. So literature is quite useless to obtain quantitative results, with a decent certainty.
The (linear) decrease of ET with soil moisture requires the determination of at least one additional coefficient. In fact, it is well known that ET has two stage: stage one, when ET is "at the potential rate", independently from the water content up to a critical soil moisture, well below saturation, when ET is depressed, not by increasing suction (the so called Kelvin effect, which is a second order effect) but by the fact that pores at the soil or leaf surface to which water is supplied are more and more far apart (see recent literature by Dani Or and co-workers). This critical soil moisture, at which the second stage ET starts is a further coefficient, and its identification with saturation implies a clear underestimation of ET. It is usually given for granted by my friends ecohydrologists and my master IRI's literature that it can be determined. But I do not have to remind to you all how much elusive it is the definition of the "root zone soil moisture" just to cite a practical aspect of it.
Even if field-fellow-scientists claim to have measured it, I know that who tried in lab of few square meters really struggled to close the water budget budget under very controlled conditions (let's say: personal communications). In nature, as my hero Pete Eagleson teaches, interaction among plants distribution, atmosphere, and rugged terrain makes any of the above coefficient heterogeneous, and the trials to find a rational to all of it, kind of frustrating to my eyes.

Said all of this, let's go back to PT, and you can give a look to the presentation below to know what happens when you coarse-grain your model resolution in time and space.


References

[1] Priestley, C.H.B. and Taylor R. J., On the assessment of surface heat flux and evaporation using large scale parameters, Monthly Weather Review, Vol. 100, No 2, 81-92,1972

[2] - Rigon, R.,  Evapotranspiration  Slides

[3] - Rigon, R.,  Solar Radiation Slides

[4] - Rodriguez-Iturbe, I., Porporato, A., Ridolfi, L., Isham, V., & Cox, D. (1999). Probabilistic modelling of water balance at a point: the role of climate, soil and vegetation. Prooceedings of the Royal Society, 455, 3879–3805

[5] - Rigon R., Bertoldi G e T. M. Over, GEOtop: A distributed hydrological model with coupled water and energy budgets, Vol. 7, No. 3, pages 371-388

[6] Bertoldi G. R. Rigon e T. M. Over, Impact of watershed geomorphic char- acteristics on the energy and water budgets, Vol. 7, No. 3, pages 389-394, 2006