The Effects of Temporal Resolution on Annual Interception Estimation

Bakar, Azinoor Azida Abu; Lu, Minjiao

doi:10.1142/9789812838124_0016

Cited by 4 publications

(2 citation statements)

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“…The storm duration will be longer and the break period becomes shorter. As a result, it may reduce the rainfall intensity and it also changes the amount of interception loss too [9]. Thus in this study, the highest interception value is given by the depth of storage capacity 10mm, and low interception obtained when the depth of storage capacity is 0.1mm.…”

Section: Interception Modelmentioning

confidence: 61%

Annual interception loss estimation with a simple equation

Bakar

Baki

Atan

et al. 2012

2012 IEEE Symposium on Humanities, Science and Engineering Research

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This study was designed to evaluate a simple equation to estimate an annual interception lost. To design the equation, the input of the equation was modified to a very high resolution data. Statistical relationship between precipitation, temporal resolution and rainfall intensity was determined. Minimum inputs require to be applied in the equation are annual precipitation and the depth of storage capacity of the selected area. To validate the equation, the equation has been applied to several locations in the world including Malaysia. Performance of the equation was evaluated by BIAS efficiency.

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Section: Interception Modelmentioning

confidence: 61%

Annual interception loss estimation with a simple equation

Bakar

Baki

Atan

et al. 2012

2012 IEEE Symposium on Humanities, Science and Engineering Research

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“…This is to avoid the computational error during calculation. Details description of the site and data preparation was described in Bakar and Lu 16) .…”

Section: Data Preparation and Theory Descriptionmentioning

confidence: 99%

Evaluation of a Simple Annual Canopy Evaporation Equation.

Bakar

2012

J. JSCE

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A new equation to estimate annual canopy evaporation with depth of storage capacity effects was evaluated in this study. The inputs to derive the equation were: the precipitation data with a different temporal resolution ranging from one hour to twenty four hours; and the depth of storage capacity varies from 0.1 to 10.0 mm. The estimated annual canopy evaporation from the equation was compared with interception loss measured from others locations in Japan and around the globe. The results shows that annual canopy evaporation can be estimated by taking account the effects of depth of storage capacity into the equation. The equation can be applied to several locations across Japan and around the world.

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