A Bayesian analysis of sensible heat flux estimation: Quantifying uncertainty in meteorological forcing to improve model prediction-Reference-Cited by-同舟云学术

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

Published:2013-05 Issue:5 Volume:49 Page:2343-2358
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Ershadi Ali¹,McCabe Matthew F.²,Evans Jason P.³,Mariethoz Gregoire¹,Kavetski Dmitri⁴

Affiliation:

1. School of Civil & Environmental Engineering; University of New South Wales; Sydney New South Wales Australia

2. Water Desalination and Reuse Centre; King Abdullah University of Science and Technology; Thuwal Saudi Arabia

3. Climate Change Research Centre, University of New South Wales; Sydney New South Wales Australia

4. School of Civil, Environmental and Mining Engineering; University of Adelaide; South Australia Australia

Funder

Australian Research Council (ARC) Linkage

NCI National Facility at the ANU via the provision of computing resources to the ARC Centre of Excellence for Climate System Science

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/wrcr.20231/fullpdf

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