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Expressions for wind speed, relative humidity, rainfall, absolute humidity, vapour pressure and dew point as functions of temperature

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  • Njau, Ernest C.

Abstract

We derive from first principles analytical expressions that give each of the following meteorological parameters in terms of (air) temperature: wind speed, relative humidity, rainfall, absolute humidity, vapour pressure and dew point. The validity of these expressions has been ascertained using past meteorological records. Since air temperature is one of the easiest meteorological parameters to predict [e.g. see E. C. Njau, Nuovo Cimento14C, 473–488 (1991)], the derived analytical expressions are simple and convenient tools by means of which wind speed, absolute humidity, rainfall, relative humidity, vapour pressure and dew point may be predicted. Furthermore, the expressions can be collectively used to make quick assessments of possible influences of man-made effects (e.g. greenhouse warming) upon the different meteorological parameters and hence the environment in general.

Suggested Citation

  • Njau, Ernest C., 1995. "Expressions for wind speed, relative humidity, rainfall, absolute humidity, vapour pressure and dew point as functions of temperature," Renewable Energy, Elsevier, vol. 6(1), pages 23-28.
    • Handle: RePEc:eee:renene:v:6:y:1995:i:1:p:23-28
    DOI: 10.1016/0960-1481(94)00053-9
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    1. Njau, Ernest C., 1994. "Predictability of wind speed patterns," Renewable Energy, Elsevier, vol. 4(2), pages 261-263.
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    Cited by:

    1. Njau, Ernest C., 1997. "A new analytical model for temperature predictions," Renewable Energy, Elsevier, vol. 11(1), pages 61-68.
    2. Njau, Ernest C., 1998. "Amplitude-modulating periodicities in global and regional heat/temperature variations," Renewable Energy, Elsevier, vol. 13(3), pages 295-303.
    3. Njau, Ernest C., 1997. "Climatic switches," Renewable Energy, Elsevier, vol. 10(1), pages 1-9.
    4. Njau, Ernest C., 1997. "Velocity characteristics of wind patterns in Tanzania," Renewable Energy, Elsevier, vol. 11(1), pages 37-46.
    5. Mohandes, Mohamed A. & Rehman, Shafiqur & Halawani, Talal O., 1998. "A neural networks approach for wind speed prediction," Renewable Energy, Elsevier, vol. 13(3), pages 345-354.

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