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Evaluation and Computation of Potential Evaporation in the Tropics

Published online by Cambridge University Press:  03 October 2008

D. A. Rijks  and
J. T. Walker
D. A. Rijks
Affiliation:
Cotton Research Corporation, Cotton Research Station, Namulonge, P.O. Box 7084, Kampala, Uganda
J. T. Walker
Affiliation:
Cotton Research Corporation, Cotton Research Station, Namulonge, P.O. Box 7084, Kampala, Uganda
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Summary

The problems involved in the estimation of potential evaporation in the tropics are discussed, and available methods for calculating potential evaporation are assessed. A computer programme is described which evaluates Penman's formula, accommodating data from the very wide range of conditions experienced in tropical agriculture. The programme conforms with recent W.M.O. recommendations and is written for computers available in many parts of the world. An important component of the programme is a strict data validation procedure. The output includes daily and mean ten-day estimates of E, using the reflection coefficients for open water and for a crop as well as both calculated and, where available, measured values of radiation.

Type
Research Article
Information
Experimental Agriculture , Volume 4 , Issue 4 , October 1968 , pp. 351 - 357
Copyright
Copyright © Cambridge University Press 1968

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References

REFERENCES

Anon. (1965). Proc. 3rd spec. cie on appl. Meteorol., EAAFRO, Muguga, Kenya.Google Scholar
Berry, G. (1964). Austr. J. appl. Sci. 15, 61.Google Scholar
Dagg, M. (1965). E. A. agric. For. J. 30, 296.Google Scholar
Engelbrecht, H. H. (1959). Bull. Amer. met. Soc. 40, 566.CrossRefGoogle Scholar
Fitzpatrick, E. A. & Stern, W. R. (1965). J. appl. Meteorol. 4, 649.2.0.CO;2>CrossRefGoogle Scholar
Fritz, S. & Rigby, M. (1957). Met. Abstr. Biblphy. 8, 949.Google Scholar
List, J. P. (1958). Smithsonian Meteorological Tables, 6th ed.Washington D.C.: Smithsonian Institution.Google Scholar
McCullogh, J. S. G. (1965). E. A. agric. For. J. 30, 286.Google Scholar
Penman, H. L. (1948). Proc. R. Soc. A. 193, 120.Google Scholar
Penman, H. L. (1956). Neth. J. agric. Sci. 4, 9.Google Scholar
Rijks, D. A. (1965). J. appl. Ecol. 2, 317.CrossRefGoogle Scholar
Rijks, D. A. (1967). J. appl. Ecol. 4, 561.CrossRefGoogle Scholar
Rijks, D. A. & Huxley, P. A. (1964). J. appl. Ecol. 1, 339.CrossRefGoogle Scholar
Russell, E. W. (1967). Cott. Gr. Rev. 44, 87.Google Scholar
Slatyer, R. O. (1960). CSIRO Div. of Land Research & Regional Survey, Technical Paper. 6.Google Scholar
Stanhill, G. (1962). Q. J. Roy. met. Sac. 88, 80.CrossRefGoogle Scholar
Walker, J. T. & Ripes, D. A. (1967). Expl Agric. 3, 337.CrossRefGoogle Scholar
Young, C. P. (1963). Met. Mag. Lond. 92, 84.Google Scholar