Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 116-134 |
| Number of pages | 19 |
| Journal | Environmental Modelling and Software |
| Volume | 39 |
| Issue number | January 2013 |
| Early online date | 14 Mar 2012 |
| DOIs | |
| Publication status | Published - Jan 2013 |
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Bibliographical note
NOTICE: this is the author’s version of a work that was accepted for publication in Environmental Modelling and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in astin, L, Cornford, D, Jones, R, Heuvelink, GBM, Pebesma, E, Stasch, C, Nativi, S, Mazzetti, P & Williams, M, 'Managing uncertainty in integrated environmental modelling: the UncertWeb framework' Environmental modelling and software, vol 39 (2013) DOI: 10.1016/j.envsoft.2012.02.008Keywords
- uncertainty
- model web
- UncertWeb
- web services
- uncertainty propagation
- visualisation
- interoperability
Cite this
}
Managing uncertainty in integrated environmental modelling : the UncertWeb framework. / Bastin, Lucy; Cornford, Dan; Jones, Richard; Heuvelink, Gerard B.M.; Pebesma, Edzer; Stasch, Christoph; Nativi, Stefano; Mazzetti, Paolo; Williams, Matthew.
In: Environmental Modelling and Software, Vol. 39, No. January 2013, 01.2013, p. 116-134.Research output: Contribution to journal › Article
TY - JOUR
T1 - Managing uncertainty in integrated environmental modelling
T2 - the UncertWeb framework
AU - Bastin, Lucy
AU - Cornford, Dan
AU - Jones, Richard
AU - Heuvelink, Gerard B.M.
AU - Pebesma, Edzer
AU - Stasch, Christoph
AU - Nativi, Stefano
AU - Mazzetti, Paolo
AU - Williams, Matthew
N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Environmental Modelling and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in astin, L, Cornford, D, Jones, R, Heuvelink, GBM, Pebesma, E, Stasch, C, Nativi, S, Mazzetti, P & Williams, M, 'Managing uncertainty in integrated environmental modelling: the UncertWeb framework' Environmental modelling and software, vol 39 (2013) DOI: 10.1016/j.envsoft.2012.02.008
PY - 2013/1
Y1 - 2013/1
N2 - Web-based distributed modelling architectures are gaining increasing recognition as potentially useful tools to build holistic environmental models, combining individual components in complex workflows. However, existing web-based modelling frameworks currently offer no support for managing uncertainty. On the other hand, the rich array of modelling frameworks and simulation tools which support uncertainty propagation in complex and chained models typically lack the benefits of web based solutions such as ready publication, discoverability and easy access. In this article we describe the developments within the UncertWeb project which are designed to provide uncertainty support in the context of the proposed ‘Model Web’. We give an overview of uncertainty in modelling, review uncertainty management in existing modelling frameworks and consider the semantic and interoperability issues raised by integrated modelling. We describe the scope and architecture required to support uncertainty management as developed in UncertWeb. This includes tools which support elicitation, aggregation/disaggregation, visualisation and uncertainty/sensitivity analysis. We conclude by highlighting areas that require further research and development in UncertWeb, such as model calibration and inference within complex environmental models.
AB - Web-based distributed modelling architectures are gaining increasing recognition as potentially useful tools to build holistic environmental models, combining individual components in complex workflows. However, existing web-based modelling frameworks currently offer no support for managing uncertainty. On the other hand, the rich array of modelling frameworks and simulation tools which support uncertainty propagation in complex and chained models typically lack the benefits of web based solutions such as ready publication, discoverability and easy access. In this article we describe the developments within the UncertWeb project which are designed to provide uncertainty support in the context of the proposed ‘Model Web’. We give an overview of uncertainty in modelling, review uncertainty management in existing modelling frameworks and consider the semantic and interoperability issues raised by integrated modelling. We describe the scope and architecture required to support uncertainty management as developed in UncertWeb. This includes tools which support elicitation, aggregation/disaggregation, visualisation and uncertainty/sensitivity analysis. We conclude by highlighting areas that require further research and development in UncertWeb, such as model calibration and inference within complex environmental models.
KW - uncertainty
KW - model web
KW - UncertWeb
KW - web services
KW - uncertainty propagation
KW - visualisation
KW - interoperability
UR - http://www.scopus.com/inward/record.url?scp=84870293828&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2012.02.008
DO - 10.1016/j.envsoft.2012.02.008
M3 - Article
VL - 39
SP - 116
EP - 134
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
SN - 1364-8152
IS - January 2013
ER -