Comparing the Penman-Monteith equation and a modified Jarvis-Stewart model with an artificial neural network to estimate stand-scale transpiration and canopy conductance

Journal of Hydrology

Volumn 373, Issue 1-2, 2009, Pages 256-266

  Whitley, Rhys ^a   Medlyn, Belinda ^b   Zeppel, Melanie ^a   Macinnis Ng, Catriona ^a   Eamus, Derek ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b MACQUARIE UNIVERSITY   (Australia)

Author keywords

Canopy conductance; Jarvis Stewart model; Nocturnal flows; Transpiration

Indexed keywords

ALTERNATIVE APPROACH; ANNUAL CYCLE; ARTIFICIAL NEURAL NETWORK; CANOPY CONDUCTANCE; HIGH RATE; JARVIS-STEWART MODEL; MODEL TREES; NATIVE FORESTS; NOCTURNAL FLOWS; P-M MODEL; PENMAN-MONTEITH; PENMAN-MONTEITH EQUATIONS; TIME-SCALES; VAPOUR PRESSURES; WATER FLUX;

BACKPROPAGATION; ELECTROMAGNETIC WAVES; GEOLOGIC MODELS; GROUNDWATER; MOISTURE DETERMINATION; NEURAL NETWORKS; PERMANENT MAGNETS; PERMITTIVITY; SOIL MOISTURE; SOLAR RADIATION; SUN; TRANSPIRATION; VAPOR PRESSURE;

HYDRAULIC MODELS;

ANNUAL CYCLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; EQUATION; FOREST; SAP FLOW; SOIL MOISTURE; SOLAR RADIATION; TRANSPIRATION; VAPOR PRESSURE;

AUSTRALASIA; AUSTRALIA;

EID: 66949148009     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.04.036     Document Type: Article

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