Zobrazeno 1 - 10
of 39
pro vyhledávání: '"K. Dorheim"'
Publikováno v:
Earth System Dynamics, Vol 15, Pp 1301-1318 (2024)
Earth system models (ESMs) and general circulation models (GCMs) are heavily used to provide inputs to sectoral impact and multisector dynamic models, which include representations of energy, water, land, economics, and their interactions. Therefore,
Externí odkaz:
https://doaj.org/article/227c9fd4cb3e4fffb73714de839922dc
Autor:
K. Dorheim, S. Gering, R. Gieseke, C. Hartin, L. Pressburger, A. N. Shiklomanov, S. J. Smith, C. Tebaldi, D. L. Woodard, B. Bond-Lamberty
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 4855-4869 (2024)
Hector is an open-source reduced-complexity climate–carbon cycle model that models critical Earth system processes on a global and annual basis. Here, we present an updated version of the model, Hector V3.2.0 (hereafter Hector V3), and document its
Externí odkaz:
https://doaj.org/article/b11fabaf42b2492596b3efaa15036442
Publikováno v:
Earth System Dynamics, Vol 13, Pp 1557-1609 (2022)
Climate model output emulation has long been attempted to support impact research, mainly to fill in gaps in the scenario space. Given the computational cost of running coupled earth system models (ESMs), which are usually the domain of supercomputer
Externí odkaz:
https://doaj.org/article/80ce44d5f69d4cb9895523fb44a35bf1
Publikováno v:
Earth System Dynamics, Vol 12, Pp 1427-1501 (2021)
We consider the problem of estimating the ensemble sizes required to characterize the forced component and the internal variability of a number of extreme metrics. While we exploit existing large ensembles, our perspective is that of a modeling cente
Externí odkaz:
https://doaj.org/article/89e35951f8cf4293a570b0ac403b0589
Autor:
J. W. Atkins, E. Agee, A. Barry, K. M. Dahlin, K. Dorheim, M. S. Grigri, L. T. Haber, L. J. Hickey, A. G. Kamoske, K. Mathes, C. McGuigan, E. Paris, S. C. Pennington, C. Rodriguez, A. Shafer, A. Shiklomanov, J. Tallant, C. M. Gough, B. Bond-Lamberty
Publikováno v:
Earth System Science Data, Vol 13, Pp 943-952 (2021)
The fortedata R package is an open data notebook from the Forest Resilience Threshold Experiment (FoRTE) – a modeling and manipulative field experiment that tests the effects of disturbance severity and disturbance type on carbon cycling dynamics i
Externí odkaz:
https://doaj.org/article/a6f01287c44b4d55aebf93eccbdeb734
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 365-375 (2021)
Simple climate models (SCMs) are frequently used in research and decision-making communities because of their flexibility, tractability, and low computational cost. SCMs can be idealized, flexibly representing major climate dynamics as impulse respon
Externí odkaz:
https://doaj.org/article/f29c3a0d5beb46ad8f929e6fa2453ec2
Autor:
Z. R. J. Nicholls, M. Meinshausen, J. Lewis, R. Gieseke, D. Dommenget, K. Dorheim, C.-S. Fan, J. S. Fuglestvedt, T. Gasser, U. Golüke, P. Goodwin, C. Hartin, A. P. Hope, E. Kriegler, N. J. Leach, D. Marchegiani, L. A. McBride, Y. Quilcaille, J. Rogelj, R. J. Salawitch, B. H. Samset, M. Sandstad, A. N. Shiklomanov, R. B. Skeie, C. J. Smith, S. Smith, K. Tanaka, J. Tsutsui, Z. Xie
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 5175-5190 (2020)
Reduced-complexity climate models (RCMs) are critical in the policy and decision making space, and are directly used within multiple Intergovernmental Panel on Climate Change (IPCC) reports to complement the results of more comprehensive Earth system
Externí odkaz:
https://doaj.org/article/0712f36b4a2649a19c398610a713aee2
Autor:
Z. Nicholls, M. Meinshausen, J. Lewis, M. Rojas Corradi, K. Dorheim, T. Gasser, R. Gieseke, A. P. Hope, N. J. Leach, L. A. McBride, Y. Quilcaille, J. Rogelj, R. J. Salawitch, B. H. Samset, M. Sandstad, A. Shiklomanov, R. B. Skeie, C. J. Smith, S. J. Smith, X. Su, J. Tsutsui, B. Vega‐Westhoff, D. L. Woodard
Publikováno v:
Earth's Future, Vol 9, Iss 6, Pp n/a-n/a (2021)
Abstract Over the last decades, climate science has evolved rapidly across multiple expert domains. Our best tools to capture state‐of‐the‐art knowledge in an internally self‐consistent modeling framework are the increasingly complex fully co
Externí odkaz:
https://doaj.org/article/aea86a7f9df04159870577b2c172eeec
Autor:
K. Calvin, P. Patel, L. Clarke, G. Asrar, B. Bond-Lamberty, R. Y. Cui, A. Di Vittorio, K. Dorheim, J. Edmonds, C. Hartin, M. Hejazi, R. Horowitz, G. Iyer, P. Kyle, S. Kim, R. Link, H. McJeon, S. J. Smith, A. Snyder, S. Waldhoff, M. Wise
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 677-698 (2019)
This paper describes GCAM v5.1, an open source model that represents the linkages between energy, water, land, climate, and economic systems. GCAM is a market equilibrium model, is global in scope, and operates from 1990 to 2100 in 5-year time steps.
Externí odkaz:
https://doaj.org/article/642aab5086f643809c8517d29836df58
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