000 04196nas a22004335i 4500
001 1432-0894
003 DE-He213
005 20260610082540.0
007 cr nn 008mamaa
008 150723s||||||||gw uu poo|||||| b|EN |d
022 _a1432-0894
024 7 _a10.1007/382.1432-0894
_2doi
210 1 0 _aClim Dyn
245 1 0 _aClimate Dynamics
_h[electronic resource] :
_bObservational, Theoretical and Computational Research on the Climate System /
_cedited by Jean-Claude Duplessy, Susanna Corti, Ben P. Kirtman, Jian Lu, Jianping Li, Zhaohua WU, V. Krishnamurthy, Kyung-Ja Ha, Vasubandhu Misra, Ken Takahashi Guevara, Lantao Sun.
264 1 _aBerlin/Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer.
300 _bonline resource.
520 _aClimate Dynamics publishes high-quality original research that advances understanding of the dynamics of the coupled climate system. The journal focuses on the physical and biophysical processes and interactions that govern climate variability and change across timescales from intraseasonal to centennial and longer. We welcome observational, paleoclimatic, theoretical, diagnostic, and numerical modeling studies that: Identify and explain dynamical mechanisms underlying the climate state and its variability and change, including teleconnections, decadal predictability, regime behavior/tipping points, and climate sensitivity. Clarify physical and biophysical interactions among the atmosphere, ocean, cryosphere, land surface, and biosphere that shape large-scale climate structure and evolution, considering the coupling with biogeochemical processes. Advance understanding of predictability, feedback processes, and dynamical constraints on internal variability and externally forced change. Diagnose and interpret climate model behavior, including systematic biases, inter-model spread, and physically based constraints on projections. Develop or apply methodological advances that provide clear new insight into climate-system dynamics. Regional and basin-scale studies, including high-resolution modeling or downscaling, may be considered when they illuminate underlying dynamical mechanisms or reveal a new understanding of how large-scale climate dynamics manifest at smaller scales. Studies employing machine learning or other data-driven methods are considered when they provide clear physical insight or advance understanding of climate dynamics and predictability. Applications focused primarily on algorithmic performance or technical implementation without new dynamical insight are generally outside the journal’s scope. Manuscripts primarily focused on impacts, adaptation or mitigation, product development, or technical method applications/comparisons without substantive implications for climate-system dynamics are beyond the scope of this journal. .
650 0 _aGeophysics.
650 0 _aClimatology.
650 0 _aOceanography.
650 1 4 _aGeophysics.
650 2 4 _aClimate Sciences.
650 2 4 _aOcean Sciences.
700 1 _aDuplessy, Jean-Claude.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCorti, Susanna.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKirtman, Ben P.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLu, Jian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLi, Jianping.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWU, Zhaohua.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKrishnamurthy, V.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHa, Kyung-Ja.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMisra, Vasubandhu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTakahashi Guevara, Ken.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSun, Lantao.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
776 0 8 _iPrinted version:
_x0930-7575
856 4 0 _uhttps://doi.org/10.1007/382.1432-0894
_zHybrid
999 _c4879
_d4879