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Prediction of latent evaporation using hourly meteorological data
Authors: Kemp, J. G., Misener, G. C And B. A. Melanson
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Download file: https://library.csbe-scgab.ca/docs/journal/23/23_1_45_ocr.pdf
Published in: CBE Journal » CBE Journal Volume 23 (1981)
Download RAW file: https://library.csbe-scgab.ca/docs/journal/23/23_1_45_raw.pdf
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Description: The usefulness of meteorological data in the development of estimators for predicting daily, weekly, monthly or yearly loss of moisture to the atmosphere from soils (Baier and Robertson 1966), crops (Hayhoe and Jacson 1974 Hobbs and Krogman 1966. 1970 Stewart and Lievers 1978) and reservoirs (Penman 1948, 1956 Veehmeyer 1964) has been well established. Such estimates employ average or cumulated daily, weekly or monthly weather data. Several workers have shown that evaporation, as measured by an evaporimeter, can be used as the major parameter in such prediction equations. Wilcox (1963), Pelton (1964) and Baier and Robertson (1965) have shown that daily meteorological data can be correlated to evaporation readings. Baier and Robert son (1965) presented multiple regression equations using several combinations of daily weather data to predict daily latent evaporation. As much as 70-85% of the variation in daily evaporation was ac counted for by this approach. The use of daily or weekly meteorological data to predict the loss of moisture from a freshly cut crop, such as hay, does not allow accurate estimation of the time of day at which the pre-selected crop moisture content can be reached. In the harvesting of crops, the accurate prediction of time required to reach a desired moisture content can have a major impact on the final outcome of the crop. Kemp et al. (1977), in developing an estimator for the moisture content of drying hay crops, employed cumulative latent evaporation data from an atmometer. It was shown that drying equations could be developed using hourly evaporation data.
Keywords: prediction of latent evaporation using hourly meteorological data
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Citation: Kemp, J. G., Misener, G. C and B. A. Melanson 1981. PREDICTION OF LATENT EVAPORATION USING HOURLY METEOROLOGICAL DATA. Canadian Agricultural Engineering 23(1):45-48.
Volume: 23
Issue: 1
Pages 45 - 48
Contributor:
Date: 1981
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Publication type: Journal
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Coverage: Canada
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DOI:
Description: The usefulness of meteorological data in the development of estimators for predicting daily, weekly, monthly or yearly loss of moisture to the atmosphere from soils (Baier and Robertson 1966), crops (Hayhoe and Jacson 1974 Hobbs and Krogman 1966. 1970 Stewart and Lievers 1978) and reservoirs (Penman 1948, 1956 Veehmeyer 1964) has been well established. Such estimates employ average or cumulated daily, weekly or monthly weather data. Several workers have shown that evaporation, as measured by an evaporimeter, can be used as the major parameter in such prediction equations. Wilcox (1963), Pelton (1964) and Baier and Robertson (1965) have shown that daily meteorological data can be correlated to evaporation readings. Baier and Robert son (1965) presented multiple regression equations using several combinations of daily weather data to predict daily latent evaporation. As much as 70-85% of the variation in daily evaporation was ac counted for by this approach. The use of daily or weekly meteorological data to predict the loss of moisture from a freshly cut crop, such as hay, does not allow accurate estimation of the time of day at which the pre-selected crop moisture content can be reached. In the harvesting of crops, the accurate prediction of time required to reach a desired moisture content can have a major impact on the final outcome of the crop. Kemp et al. (1977), in developing an estimator for the moisture content of drying hay crops, employed cumulative latent evaporation data from an atmometer. It was shown that drying equations could be developed using hourly evaporation data.
Keywords: prediction of latent evaporation using hourly meteorological data
Résumé:
Mots-clés:
Citation: Kemp, J. G., Misener, G. C and B. A. Melanson 1981. PREDICTION OF LATENT EVAPORATION USING HOURLY METEOROLOGICAL DATA. Canadian Agricultural Engineering 23(1):45-48.
Volume: 23
Issue: 1
Pages 45 - 48
Contributor:
Date: 1981
Technical field:
Conference name:
Session name:
Other information:
Type:
Format:
Publication type: Journal
Source:
Relation:
Coverage: Canada
Language 1:
Language 2:
Rights:
Notes:
Other files:
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