1997
DOI: 10.1002/(sici)1099-1085(199709)11:11<1509::aid-hyp482>3.0.co;2-l
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A model to consider the spatial variability of rainfall partitioning within deciduous canopy. I. Model description

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Cited by 15 publications
(4 citation statements)
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“…The review of Crockford and Richardson (2000) illustrates that it is difficult to draw general conclusions about interception by a particular forest type because of the combined effect of several tree and stand characteristics and the dependency on climatic conditions. For modelling rainfall interception, forest structure is generally described by canopy cover and storage capacity (Rutter and Morton, 1977;Gash, 1979;Davie and Durocher, 1997;Liu, 1997).…”
Section: Introductionmentioning
confidence: 99%
“…The review of Crockford and Richardson (2000) illustrates that it is difficult to draw general conclusions about interception by a particular forest type because of the combined effect of several tree and stand characteristics and the dependency on climatic conditions. For modelling rainfall interception, forest structure is generally described by canopy cover and storage capacity (Rutter and Morton, 1977;Gash, 1979;Davie and Durocher, 1997;Liu, 1997).…”
Section: Introductionmentioning
confidence: 99%
“…Measurement of representative throughfall fields in the presence of pour points is challenging, and likely requires deterministically sampling pour points, similarly to how stemflow is treated. Like stemflow, such measurements could then be used in physically based models (Davie & Durocher, 1997) to differentiate throughfall fluxes within the canopy and stemflow. However, optimal throughfall measurement designs where pour points occur need further investigation.…”
Section: Generalizing the Resultsmentioning
confidence: 99%
“…The Rutter model treats the canopy as a single large leaf, although it has been adapted to provide a threedimensional canopy (e.g. Davie and Durocher, 1997) that can then be altered to allow for changes and growth in the canopy.…”
Section: Canopy Interception Loss Estimationmentioning
confidence: 99%