Quantitative comparison of canopy conductance models using a Bayesian approach

Water Resources Research

Volumn 44, Issue 9, 2008, Pages

  Samanta, S ^a   Clayton, M K ^b   Mackay, D S ^c   Kruger, E L ^b   Ewers, B E ^d  

^a WOODS HOLE RESEARCH CENTER   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c UNIVERSITY AT BUFFALO   (United States)

^d UNIVERSITY OF WYOMING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GROUNDWATER; HYDROSTATIC PRESSURE; MILITARY ENGINEERING; SOIL MOISTURE; VAPOR PRESSURE; VAPORS;

BAYESIAN; BAYESIAN APPROACHES; CANOPY CONDUCTANCES; GOODNESS OF FITS; INFORMATION CRITERIONS; MODEL COMPLEXITIES; MODEL CONFIGURATIONS; MODEL QUALITIES; NATURAL SYSTEMS; PHOTOSYNTHETIC RADIATIONS; PREDICTION UNCERTAINTIES; QUANTITATIVE COMPARISONS; QUANTITATIVE MODELS; SAP FLUXES; SEMIEMPIRICAL; SEMIEMPIRICAL MODELS; STOMATAL CONDUCTANCES; STRUCTURAL CHANGES; TRANSPIRATION MODELS; VAPOR PRESSURE DEFICITS;

TRANSPIRATION;

BAYESIAN ANALYSIS; CANOPY; COMPARATIVE STUDY; COMPLEXITY; ECOSYSTEM MODELING; PHOTOSYNTHESIS; QUANTITATIVE ANALYSIS; SAP FLOW; SOIL MOISTURE; TRANSPIRATION;

EID: 55249107853     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007WR006761     Document Type: Article

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