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Bayesian hierarchical modelling: Incorporating spatial information in water resources assessment and accounting

Chiu, Grace; Lehmann, Eric A.


Water resources assessment and accounting research requires making the best use of multiple sources of data for producing reliable accounting predictions. For any given quantity of interest, e.g. soil moisture, available sources of data could be directly observed in situ, derived indirectly from a remotely-sensed surrogate (e.g. brightness temperature) using retrieval models, or output from deterministic hydrological models. Whether it be model-data fusion or the evaluation of remotely-sensed...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Proceedings of MODSIM 2011 International Congress on Modelling and Simulation
Access Rights: Open Access


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