Show simple item record Petropoulos, George Griffiths, Hywel Carlson, T.N. Ioannou Katidis, Pavlos Holt, Tom 2015-04-28T21:01:59Z 2015-04-28T21:01:59Z 2014-09-02
dc.identifier.citation Petropoulos , G , Griffiths , H , Carlson , T N , Ioannou Katidis , P & Holt , T 2014 , ' SimSphere model sensitivity analysis towards establishing its use for deriving key parameters characterising land surface interactions ' Geoscientific Model Development , vol. 7 , no. 5 , pp. 1873-1887 . en
dc.identifier.issn 1991-959X
dc.identifier.other PURE: 5472557
dc.identifier.other PURE UUID: 080a08ac-ac29-45d5-a7e3-2a8870ec8b59
dc.identifier.other Scopus: 84904988259
dc.identifier.other 2160/28576
dc.identifier.other ORCID: /0000-0001-8361-0688/work/49523356
dc.description Petropoulos, G., Griffiths, H., Carlson, T. N., Ioannou Katidis, P., Holt, T. (2014). SimSphere model sensitivity analysis towards establishing its use for deriving key parameters characterising land surface interactions. Geoscientific Model Development, 7(5), 1873-1887 en
dc.description.abstract Being able to accurately estimate parameters characterising land surface interactions is currently a key scientific priority due to their central role in the Earth’s global energy and water cycle. To this end, some approaches have been based on utilising the synergies between land surface models and Earth observation (EO) data to retrieve relevant parameters. One such model is SimSphere, the use of which is currently expanding, either as a stand-alone application or synergistically with EO data. The present study aimed at exploring the effect of changing the atmospheric sounding profile on the sensitivity of key variables predicted by this model assuming different probability distribution functions (PDFs) for its inputs/outputs. To satisfy this objective and to ensure consistency and comparability to analogous studies conducted previously on the model, a sophisticated, cuttingedge sensitivity analysis (SA) method adopting Bayesian theory was implemented on SimSphere. Our results did not show dramatic changes in the nature or ranking of influential model inputs in comparison to previous studies. Model outputs examined using SA were sensitive to a small number of the inputs; a significant amount of first-order interactions between the inputs was also found, suggesting strong model coherence. Results showed that the assumption of different PDFs for the model inputs/outputs did not have an important bearing on mapping the most responsive model inputs and interactions, but only the absolute SA measures. This study extends our understanding of SimSphere’s structure and further establishes its coherence and correspondence to that of a natural system’s behaviour. Consequently, the present work represents a significant step forward in the global efforts on SimSphere verification, especially those focusing on the development of global operational products from the model synergy with EO data. en
dc.format.extent 15 en
dc.language.iso eng
dc.relation.ispartof Geoscientific Model Development en
dc.rights en
dc.title SimSphere model sensitivity analysis towards establishing its use for deriving key parameters characterising land surface interactions en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.description.version publishersversion en
dc.description.version preprint en
dc.description.version preprint en
dc.description.version preprint en
dc.contributor.institution Department of Geography and Earth Sciences en
dc.description.status Peer reviewed en

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