Interglacial cooling rates demonstrate consistent, predictable trendlines suggesting Earth's climate follows similar, repeatable processes such as ice growth rates and oceanic /
atmospheric process interactions as it cools.
Not exact matches
There is currently no consensus on the optimal way to divide computer resources among finer numerical grids, which allow for better simulations; greater numbers of ensemble members, which allow for better statistical estimates of uncertainty; and inclusion of a more complete set of
processes (e.g., carbon feedbacks,
atmospheric chemistry
interactions).
I propose the following Climatic null hypothesis that: «Natural climatic variation is quantified by the stochastic uncertainty envelope of historical and paleo data, embodying the nonlinear chaotic
interaction of
atmospheric, oceanic, volcanic, solar, and galactic
processes, including climate persistence quantified by Hurst - Kolmogorov dynamics.»
The US CLIVAR Greenland Ice Sheet - Ocean
Interactions Working Group was formed to foster and promote interaction between the diverse oceanographic, glaciological, atmospheric and climate communities, including modelers and field and data scientists within each community, interested in glacier / ocean interactions around Greenland, to advance understanding of the process and ultimately improve its representation in cli
Interactions Working Group was formed to foster and promote
interaction between the diverse oceanographic, glaciological,
atmospheric and climate communities, including modelers and field and data scientists within each community, interested in glacier / ocean
interactions around Greenland, to advance understanding of the process and ultimately improve its representation in cli
interactions around Greenland, to advance understanding of the
process and ultimately improve its representation in climate models.
«Natural climatic variation is quantified by the stochastic uncertainty envelope of historical and paleo data, embodying the nonlinear chaotic
interaction of
atmospheric, oceanic, volcanic, solar, and galactic
processes, including climate persistence quantified by Hurst - Kolmogorov dynamics.»
In that regard,
atmospheric and terrestrial
processes and their long - term
interactions need to be understood to better support policies on water management.
In the context of models that include cloud
processes, ranging from small - scale models of clouds and
atmospheric chemistry to global weather and climate models, the unified theoretical foundations presented here provide the basis for incorporating cloud microphysical
processes in these models in a manner that represent the
process interactions and feedback
processes over the relevant range of environmental and parametric conditions.
The Hindu - Kush Himalayan region, including the Tibetan plateau, also functions as a complex
interaction of «
atmospheric, cryospheric, hydrological, geological and environmental
processes that bear special significance for the Earth's biodiversity, climate and water cycles» (48).
Reporting in Geophysical Research Letters, researchers looked at how the impacts caused by different strengths of geoengineering differed from region to region, using a comprehensive climate model developed by the UK Met Office, which replicates all the important aspects of the climate system, including the
atmospheric, ocean and land
processes, and their
interactions.
My immediate interest is to understand the scientific validity of the recent hypothesis, and more generally to understand the
processes and
interactions affecting NH
atmospheric circulation, particularly the jet stream and polar vortex.
These OMITTED / POORLY Represented
processes include the following: oceanic eddies, tides, fronts, buoyancy - driven coastal and boundary currents, cold halocline, dense water plumes and convection, double diffusion, surface / bottom mixed layer, sea ice — thickness distribution, concentration, deformation, drift and export, fast ice, snow cover, melt ponds and surface albedo,
atmospheric loading, clouds and fronts, ice sheets / caps and mountain glaciers, permafrost, river runoff, and air — sea ice — land
interactions and coupling.