Zobrazeno 1 - 10
of 17
pro vyhledávání: '"S. F. B. Tett"'
Autor:
A. P. Schurer, G. C. Hegerl, H. Goosse, M. A. Bollasina, M. H. England, M. J. Mineter, D. M. Smith, S. F. B. Tett
Publikováno v:
Climate of the Past, Vol 19, Pp 943-957 (2023)
Climate models can produce accurate representations of the most important modes of climate variability, but they cannot be expected to follow their observed time evolution. This makes direct comparison of simulated and observed variability difficult
Externí odkaz:
https://doaj.org/article/cbf15d32aef142bdab4b0888604aac43
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 3537-3554 (2022)
The skill of global ocean biogeochemical models, and the earth system models in which they are embedded, can be improved by systematic calibration of the parameter values against observations. However, such tuning is seldom undertaken as these models
Externí odkaz:
https://doaj.org/article/35ccdf35c82d420c8feb55678d022ef5
Autor:
C. Bellisario, H. E. Brindley, S. F. B. Tett, R. Rizzi, G. Di Natale, L. Palchetti, G. Bianchini
Publikováno v:
Atmospheric Chemistry and Physics, Vol 19, Pp 7927-7937 (2019)
Far-infrared (FIR: 100cm-1
Externí odkaz:
https://doaj.org/article/45db08f624484bb590da3e57d243d986
Autor:
F. D. W. Christie, R. G. Bingham, N. Gourmelen, E. J. Steig, R. R. Bisset, H. D. Pritchard, K. Snow, S. F. B. Tett
Publikováno v:
The Cryosphere, Vol 12, Pp 2461-2479 (2018)
Over the past 20 years satellite remote sensing has captured significant downwasting of glaciers that drain the West Antarctic Ice Sheet into the ocean, particularly across the Amundsen Sea Sector. Along the neighbouring Marie Byrd Land Sector, si
Externí odkaz:
https://doaj.org/article/9af4f5e4fe36428489f199f263b0df11
Publikováno v:
Geoscientific Model Development, Vol 10, Pp 3567-3589 (2017)
Optimisation methods were successfully used to calibrate parameters in an atmospheric component of a climate model using two variants of the Gauss–Newton line-search algorithm: (1) a standard Gauss–Newton algorithm in which, in each iteration,
Externí odkaz:
https://doaj.org/article/9bcc537ca8384755838a84b80b1d25fa
Publikováno v:
Geoscientific Model Development, Vol 10, Pp 2651-2670 (2017)
This study evaluates the ability of the JULES land surface model (LSM) to simulate gross primary productivity (GPP) on regional and global scales for 2001–2010. Model simulations, performed at various spatial resolutions and driven with a variet
Externí odkaz:
https://doaj.org/article/ea6a4d2fc64148da931b364bcabe9ae1
Publikováno v:
Atmospheric Chemistry and Physics, Vol 15, Iss 12, Pp 6561-6575 (2015)
A new method of deriving high-resolution top-of-atmosphere spectral radiances in 10 181 bands, over the whole outgoing long-wave spectrum of the Earth, is presented. Correlations between different channels measured by the Infrared Atmospheric Soundin
Externí odkaz:
https://doaj.org/article/aa4ee76866fa465dae8e3e37fa6501c9
Publikováno v:
Geoscientific Model Development, Vol 8, Iss 2, Pp 295-316 (2015)
This study evaluates the ability of the JULES land surface model (LSM) to simulate photosynthesis using local and global data sets at 12 FLUXNET sites. Model parameters include site-specific (local) values for each flux tower site and the default p
Externí odkaz:
https://doaj.org/article/002726829a3247cd9f140da07e66c084
Autor:
L. Fernández-Donado, J. F. González-Rouco, C. C. Raible, C. M. Ammann, D. Barriopedro, E. García-Bustamante, J. H. Jungclaus, S. J. Lorenz, J. Luterbacher, S. J. Phipps, J. Servonnat, D. Swingedouw, S. F. B. Tett, S. Wagner, P. Yiou, E. Zorita
Publikováno v:
Climate of the Past, Vol 9, Iss 1, Pp 393-421 (2013)
Understanding natural climate variability and its driving factors is crucial to assessing future climate change. Therefore, comparing proxy-based climate reconstructions with forcing factors as well as comparing these with paleoclimate model simulati
Externí odkaz:
https://doaj.org/article/a0993714c379458aa86ae464ea149b39
Publikováno v:
Slevin, D, Tett, S, Exbrayat, J-F, Bloom, A & Williams, M 2017, ' Global evaluation of gross primary productivity in the JULES land surface model v3.4.1 ', Geoscientific Model Development, vol. 10, no. 7, pp. 2651-2670 . https://doi.org/10.5194/gmd-10-2651-2017
Geoscientific Model Development, Vol 10, Pp 2651-2670 (2017)
Geoscientific Model Development, Vol 10, Pp 2651-2670 (2017)
This study evaluates the ability of the JULES land surface model (LSM) to simulate gross primary productivity (GPP) on regional and global scales for 2001–2010. Model simulations, performed at various spatial resolutions and driven with a variety o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f18358e2d987ef617b906fd7ff0789
https://www.geosci-model-dev.net/10/2651/2017/
https://www.geosci-model-dev.net/10/2651/2017/
