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N. Hancock, J. Crowther (1979)
A technique for the direct measurement of water storage on a forest canopyJournal of Hydrology, 41
A. Rutter, A. Morton (1977)
A Predictive Model of Rainfall Interception in Forests. III. Sensitivity of The Model to Stand Parameters and Meteorological VariablesJournal of Applied Ecology, 14
A. Rutter, A. Morton, P. Robins (1975)
A Predictive Model of Rainfall Interception in Forests. II. Generalization of the Model and Comparison with Observations in Some Coniferous and Hardwood StandsJournal of Applied Ecology, 12
R. Merriam (1973)
Fog drip from artificial leaves in a fog wind tunnelWater Resources Research, 9
A. Rutter, K. Kershaw, P. Robins, A. Morton (1971)
A predictive model of rainfall interception in forests, 1. Derivation of the model from observations in a plantation of Corsican pineAgricultural Meteorology, 9
I. Calder (1978)
Transpiration observations from a spruce forest and comparisons with predictions from an evaporation modelJournal of Hydrology, 38
I. Jackson (1975)
RELATIONSHIPS BETWEEN RAINFALL PARAMETERS AND INTERCEPTION BY TROPICAL FORESTJournal of Hydrology, 24
A model for the prediction of water accumulation on forest foliage is presented. It is general enough to include linear, exponential, or logarithmic forms for the buildup of accumulated water and to go from any one of these three limiting forms to any other in a continuous manner by varying a single dimensionless parameter. This equation unifies into a single form many other models used to predict water accumulation (from either rain or fog) on forest foliage. An exploration of the underlying assumptions relating drip rate to interception intensity shows how these other models differ from one another. Evaporation is included in the model by using another dimensionless parameter which may be very useful in regions where only an approximate estimate of the evaporation rate is available. However, to include evaporation correctly into the model it is necessary to define the water storage capacity first in order to properly interpret the model predictions.
Water Resources Research – Wiley
Published: Feb 1, 1980
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