Results 11 to 20 of about 293,074 (268)
Annual Review of Environment and Resources, 2008 Climate models simulate the atmosphere, given atmospheric composition and energy from the sun, and include explicit modeling of, and exchanges with, the underlying oceans, sea ice, and land. The models are based on physical principles governing momentum, thermodynamics, cloud microphysics, radiative transfer, and turbulence.
Leo J. Donner, William G. Large
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The future of climate modeling [PDF]
Climatic Change, 2015 Recently a number of scientists have proposed substantial changes to the practice of climate modeling, though they disagree over what those changes should be. We provide an overview and critical examination of three leading proposals: the unified approach, the hierarchy approach and the pluralist approach.
Katzav, J., Parker, W.S.
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The Climate Modelling Toolkit [PDF]
Proceedings of the Python in Science Conference, 2016 The Climate Modelling Toolkit (CliMT) is a Python-based software component toolkit providing a flexible problem-solving environment for climate science problems. It aims to simplify the development of models of complexity ’appropriate’ to the scientific question at hand.
Joy Merwin Monteiro, Rodrigo Caballero
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The effect of empirical-statistical correction of intensity-dependent model errors on the temperature climate change signal [PDF]
Hydrology and Earth System Sciences, 2015 This study discusses the effect of empirical-statistical bias correction methods like quantile mapping (QM) on the temperature change signals of climate simulations.
A. Gobiet, M. Suklitsch, G. Heinrich
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Remote Sensing, 2023 The loss of coral habitats and associated biodiversity have direct effects both on the physical dynamics of the coast and on natural resources, threatening the survival of local populations.
Andrea Peirano +8 more
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Impact of the Microphysics in HARMONIE-AROME on Fog
Atmosphere, 2022 This study concerns the impact of microphysics on the HARMONIE-AROME NWP model. In particular, the representation of cloud droplets in the single-moment bulk microphysics scheme is examined in relation to fog forecasting. We focus on the shape parameters
Sebastián Contreras Osorio +6 more
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Advances in Climate Change Research, 2016 The aim of this work is to investigate the soil water budget across China by means of hydrological modeling under current and future climate conditions and to evaluate the sensitivity to soil parameters.
Alfredo Reder +3 more
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Evaluation of Climate Models [PDF]
, 2014 Climate models have continued to be developed and improved since the AR4, and many models have been extended into Earth System models by including the representation of biogeochemical cycles important to climate change. These models allow for policy-relevant calculations such as the carbon dioxide (CO2) emissions compatible with a specified climate ...
Flato, G. +17 more
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Quantifying the feedback between Antarctic meltwater release and subsurface Southern Ocean warming [PDF]
Earth System DynamicsThe subsurface ocean around Antarctica is one of the primary drivers of mass loss from the Antarctic ice sheet through the basal melting of ice shelves.
E. Lambert +5 more
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Climate Predictions: The Chaos and Complexity in Climate Models [PDF]
Advances in Meteorology, 2014 Some issues which are relevant for the recent state in climate modeling have been considered. A detailed overview of literature related to this subject is given. The concept in modeling of climate, as a complex system, seen through Gödel’s theorem and Rosen’s definition of complexity and predictability is discussed. Occurrence of chaos in computing the
Mihailović, D. T. +2 more
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