Uncertainties in process-based modelling for environmental assessment

Van Oijen, Marcel. 2010 Uncertainties in process-based modelling for environmental assessment. In: 4th Global Workshop on Digital Soil Mapping, DSM2010, Rome, Italy, 24-26 May 2010. Working Group on Digital Soil Mapping (WG-DSM). (Unpublished)

Before downloading, please read NORA policies.

Preview

Text VanOijen2010_UncertaintiesPBM_DSM2010.pdf Download (227kB)

Abstract/Summary

Many different process-based models of ecosystems are in use today. The majority of these models are parameter-rich, deterministic dynamic models, which require considerable input information and computation time. These characteristics, combined with the fact that the models tend to be parameterised at the point-support spatial scale, have made their use for larger regions problematic. Quantifying the uncertainties caused by incomplete knowledge of model inputs and structure, as well as uncertainty due to upscaling, is a difficult task. Various examples of model application and uncertainty quantification are presented here and the possibility to use a Bayesian approach to uncertainty quantification is discussed.

Item Type:	Publication - Conference Item (Paper)
Programmes:	CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes
UKCEH and CEH Sections/Science Areas:	Billett (to November 2013)
NORA Subject Terms:	Agriculture and Soil Science Ecology and Environment Earth Sciences Data and Information
Date made live:	13 Jan 2011 12:32 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/10080

Actions (login required)

View Item

Document Downloads

More statistics for this item...