A Bayesian analysis of sensible heat flux estimation: Quantifying uncertainty in meteorological forcing to improve model prediction

Water Resources Research

Volumn 49, Issue 5, 2013, Pages 2343-2358

  Ershadi, Ali ^a   McCabe, Matthew F ^b   Evans, Jason P ^a   Mariethoz, Gregoire ^a   Kavetski, Dmitri ^c  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^c UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Bayesian inference; evapotranspiration; land surface temperature; SMEX02; Surface Energy Balance System; surface heat flux

Indexed keywords

ATMOSPHERIC TEMPERATURE; BAYESIAN NETWORKS; BOND (MASONRY); ENERGY BALANCE; EVAPOTRANSPIRATION; HEAT FLUX; INFERENCE ENGINES; INTERFACIAL ENERGY; MARKOV CHAINS; REMOTE SENSING; SOIL MOISTURE; SURFACE MEASUREMENT; SURFACE PROPERTIES; UNCERTAINTY ANALYSIS; WIND;

BAYESIAN INFERENCE; MARKOV CHAIN MONTE CARLO ALGORITHMS; METEOROLOGICAL VARIABLES; POSTERIOR DISTRIBUTIONS; SMEX02; SURFACE ENERGY BALANCE SYSTEMS; SURFACE HEAT FLUX ESTIMATIONS; SURFACE HEAT FLUXES;

LAND SURFACE TEMPERATURE;

AIR TEMPERATURE; ALGORITHM; BAYESIAN ANALYSIS; CLIMATE FORCING; DATA SET; ENERGY BALANCE; ERROR ANALYSIS; EVAPOTRANSPIRATION; NUMERICAL MODEL; PREDICTION; SENSIBLE HEAT FLUX; SURFACE ENERGY; SURFACE TEMPERATURE; UNCERTAINTY ANALYSIS; WIND VELOCITY;

EID: 84879927640     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/wrcr.20231     Document Type: Article

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