Zobrazeno 1 - 10
of 640
pro vyhledávání: '"J. Rougier"'
Publikováno v:
The Cryosphere, Vol 16, Pp 1349-1367 (2022)
The Antarctic Peninsula has become an increasingly important component of the Antarctic Ice Sheet mass budget over the last 2 decades, with mass losses generally increasing. However, due to the challenges presented by the topography and geometry of t
Externí odkaz:
https://doaj.org/article/b21669553d7e451996d6395864941207
Autor:
L. M. Western, Z. Sha, M. Rigby, A. L. Ganesan, A. J. Manning, K. M. Stanley, S. J. O'Doherty, D. Young, J. Rougier
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 2095-2107 (2020)
We present a method to infer spatially and spatio-temporally correlated emissions of greenhouse gases from atmospheric measurements and a chemical transport model. The method allows fast computation of spatial emissions using a hierarchical Bayesian
Externí odkaz:
https://doaj.org/article/1b399999827d44a480356dd37e05732d
Publikováno v:
Geoscientific Model Development, Vol 2, Iss 2, Pp 137-144 (2009)
In this paper, we demonstrate a procedure for calibrating a complex computer simulation model having uncertain inputs and internal parameters, with application to the NCAR Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIE-GCM). W
Externí odkaz:
https://doaj.org/article/fe623204561a49adbd86ab12407e3587
Autor:
L. M. Western, Z. Sha, M. Rigby, A. L. Ganesan, A. J. Manning, K. M. Stanley, S. J. O'Doherty, D. Young, J. Rougier
Publikováno v:
Western, L M, Sha, Z, Rigby, M, Ganesan, A, Manning, A J, Stanley, K M, O'Doherty, S, Young, T D S & Rougier, J 2020, ' Bayesian spatiotemporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields ', Geoscientific Model Development, vol. 13, pp. 2095–2107 . https://doi.org/10.5194/gmd-13-2095-2020
Geoscientific Model Development, Vol 13, Pp 2095-2107 (2020)
Geoscientific Model Development, Vol 13, Pp 2095-2107 (2020)
We present a method to infer spatially and spatio-temporally correlated emissions of greenhouse gases from atmospheric measurements and a chemical transport model. The method allows fast computation of spatial emissions using a hierarchical Bayesian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f93220205db1cdd403bf497964649e97
https://hdl.handle.net/1983/debaa11b-fccd-4a6f-8e22-e7ea5011e73f
https://hdl.handle.net/1983/debaa11b-fccd-4a6f-8e22-e7ea5011e73f
Akademický článek
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Publikováno v:
Schumacher, M, King, M, Rougier, J, Sha, Z, Khan, S A, Chuter, S & Bamber, J 2018, ' A new global GPS dataset for testing and improving modelled GIA uplift rates ', EGU General Assembly 2018, Vienna, Austria, 8/04/18-13/04/18 . https://doi.org/10.6084/m9.figshare.6121985
Poster presented at European Geosciences UnionGeneral Assembly 2018, Vienna, Austria, 8–13 April 2018
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f76f68a03a33a9eddca435fc0b9105f
https://zenodo.org/record/7419150
https://zenodo.org/record/7419150
Autor:
J. Bamber, S. Luthcke, A. Martín-Español, Marzeion, Ben, J. Rougier, B. Wouters, A. Zammit-Magnion
Poster presented at the Regional Sea Level Changes and Coastal Impacts conference, New-York, 10-14 July 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b4b5d805bded6d8c2a5b9c18ffb111
Akademický článek
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