Sentences with phrase «climate model component»

2, 3 The climate model component is a two - dimensional (zonally averaged) model that reproduces the behavior of coupled atmosphere - ocean general circulation models (AOGCMs).

Not exact matches

Filling in all these details will make it possible to refine the accuracy of atmospheric models and help to assess such things as strategies to mitigate specific air pollution issues, from ozone to particulate matter, or to assess the sources and removal mechanisms of atmospheric components that affect Earth's climate.

The ability of the inorganic component of sea spray particles to take up water has been the focus of this international study where a large suite of well - controlled laboratory experiments have shown, for the first time, that the hygroscopicity of the inorganic component of sea spray is significantly lower than pure sodium chloride, a substance routinely used to describe their hygroscopicity in climate models.

The ocean's carbon cycle is a vital component of climate models.

Jacobson said it also highlights the regional impact of brown carbon, which is not included as a heating component in most climate models.

Vahmani and Jones used a high - resolution regional climate model for their analysis; Vahmani then added a component to the model to account for irrigation water.

The researchers developed a novel approach to the issue by using climate data from the IPCC and directly modeling all of the components that cause flooding at the coast including, waves, tides, winds blowing over the surface of the ocean and estuaries, precipitation, and stream flow.

So dust devils are an important component in climate models for Mars.

The integrated Earth System Model, or iESM, is being used to explore interactions among the physical climate system, biological components of Earth system, and human systems.

This is a novel component of climate modeling, which has to date incorporated human behavior indirectly through economic impacts only.

Sulphate is not typically the dominant anthropogenic aerosol component however, though many climate models treat it as such.

Similar to the model development process adopted for other components of the climate system, this strategy is composed of four stages, each one building on the next.

Computational models that simulate the climate such as CAM5, which is the atmosphere component of the Community Earth System Model used in the Intergovernmental Panel on Climate Change 5th Assessment, are used to predict future climate changes, such as the Arctic sea icclimate such as CAM5, which is the atmosphere component of the Community Earth System Model used in the Intergovernmental Panel on Climate Change 5th Assessment, are used to predict future climate changes, such as the Arctic sea icClimate Change 5th Assessment, are used to predict future climate changes, such as the Arctic sea icclimate changes, such as the Arctic sea ice loss.

He is particularly interested in the role of aerosols and clouds in the atmosphere, and has worked on the processes that describe these components of the atmosphere, the computational details that are needed to describe them in computer models, and on their impact on climate.

For the last five years, he helped to lead the technical development team for the next generation of the atmospheric component of the Community Climate System Model Project, one of the major climate modeling activities in the United Climate System Model Project, one of the major climate modeling activities in the United climate modeling activities in the United States.

Briegleb, B.P., et al., 2004: Scientific Description of the Sea Ice Component in the Community Climate System Model, Version Three.

The work supports the Laboratory's Global Security mission area and the Information, Science, and Technology science pillar through enhanced ocean model components of global climate simulations.

Williams, K.D., et al., 2006: Evaluation of a component of the cloud response to climate change in an intercomparison of climate models.

It is key component of climate modelling.

Wan's Pauling postdoctoral research proposal targets decreasing the uncertainty in climate predictions by improving the way that model components are coupled in global climate models.

The atmospheric components of climate models were never really designed for the study of TCs, but the fact that they can produce features with TC - like character when run at sufficiently high resolutions, gives us increased confidence in the possibility that climate models can be used to analyze climate change impacts on TCs.

In this regard it's important to consider the difference between Crowley et al (2000), who use an energy balance model with a sensitivity of 2.0 to get something like the MBH99 reconstruction, and the ECHO - G climate model, which has a sensitivity of 3.5 and reasonable stratospheric component and gives somthing like Moberg.

GCMs have oceanographic components — see Kate's Skeptical Science post for a useful and accessible discussion of the architecture of climate models — which surely include currents as part of their «dynamical» modelling.

I know that modelling always plays an important role in science and global climate change, such a vast phenomenon needs all the relevant research that is available, for the blind men (people in general) to understand the elephant:) The models are a necessary component, and interestingly some of these assumptions are based upon physics and chemsitry just the same, otherwise the models would be really far off.

They are considering the addition of some components of the carbon cycle into models (notably the faster biological components), but these are not yet routinely incorporated into the models used for making climate projections.

Sarah is also working on determining the natural and human components of observed regional climate change in Australia, using both observed and climate model data.

In other words, they fail the most basic type of test imaginable; and in the words of Li et al., this finding suggests that «global climate models should better integrate the biological, chemical, and physical components of the earth system.»

A climate model is a very complex system, with many components.

(2007) • Contribution of Renewables to Energy Security (2007) • Modelling Investment Risks and Uncertainties with Real Options Approach (2007) • Financing Energy Efficient Homes Existing Policy Responses to Financial Barriers (2007) • CO2 Allowance and Electricity Price Interaction - Impact on Industry's Electricity Purchasing Strategies in Europe (2007) • CO2 Capture Ready Plants (2007) • Fuel - Efficient Road Vehicle Non-Engine Components (2007) • Impact of Climate Change Policy Uncertainty on Power Generation Investments (2006) • Raising the Profile of Energy Efficiency in China — Case Study of Standby Power Efficiency (2006) • Barriers to the Diffusion of Solar Thermal Technologies (2006) • Barriers to Technology Diffusion: The Case of Compact Fluorescent Lamps (2006) • Certainty versus Ambition — Economic Efficiency in Mitigating Climate Change (2006) • Sectoral Crediting Mechanisms for Greenhouse Gas Mitigation: Institutional and Operational Issues (2006) • Sectoral Approaches to GHG Mitigation: Scenarios for Integration (2006) • Energy Efficiency in the Refurbishment of High - Rise Residential Buildings (2006) • Can Energy - Efficient Electrical Appliances Be Considered «Environmental Goods»?

The lecture gives an overview of the main components of global climate models and explains the underlying basics and the numerical formulation of the fundamental equations.

Coverage includes original paleoclimatic, diagnostic, analytical and numerical modeling research on the structure and behavior of the atmosphere, oceans, cryosphere, biomass and land surface as interacting components of the dynamics of global climate.

The Community Climate System Model, 4 has revisions across all components.

The component of sea surface temperature variability that maximizes its integral time scale, obtained from the combination of 14 control runs of CMIP3 climate models.

When ocean models were first coupled to atmospheric models well over a quarter century ago, systematic errors in each component near their interface led to sizeable drift and unrealistic climate simulations.

These models are in some ways like climate models, except that we understand electronic components better so our parametrization is more precise and reliable.

It is clear to me that the numerical modeling component of the climate change controversy has completely lost uncertainty of knowledge communications.

The short answer is that these «climate models» and those that create them would do better to notice actual Climate processes than to continue to contrive reasons to avoid notice of the actual non-correlation of the «greenhouse component» that the «models creators» attempt to prolong climate models» and those that create them would do better to notice actual Climate processes than to continue to contrive reasons to avoid notice of the actual non-correlation of the «greenhouse component» that the «models creators» attempt to prolong Climate processes than to continue to contrive reasons to avoid notice of the actual non-correlation of the «greenhouse component» that the «models creators» attempt to prolong use of.

``... since uncertainty is a structural component of climate and hydrological systems, Anagnostopoulos et al. (2010) found that large uncertainties and poor skill were shown by GCM predictions without bias correction... it can not be addressed through increased model complexity....

We use observed estimates of the signal component of TLT changes and model estimates of climate noise to calculate timescale - dependent signal - to - noise ratios (S / N).

The canonical dominant contribution from man was only ever derived from the comparison of climate model outputs with and without an assumed manmade CO2 component with high CO2 sensitivity (A), an assumed declining natural component (B) and a manmade aerosol cooling component (C) that is derived from the 20th century observations (D) thusly; C =D - A-B.

Climate models are like weather models for the atmosphere and land, except they have to additionally predict the ocean currents, sea - ice changes, include seasonal vegetation effects, possibly even predict vegetation changes, include aerosols and possibly atmospheric chemistry, so they are not like weather models after all, except for the atmospheric dynamics, land surface, and cloud / precipitation component.

Only such tests would test specifically the climate model and not some combination of models, where the other components may distort the conclusion.

And I disagree with both Jason and Roger — neither climate models nor observations provide the best tool for understanding — rather, an understanding of the essential physical components and how they interact and respond is what should provide the greatest understanding.

They are consistent sets of projections of only the components of radiative forcing that are meant to serve as input for climate modeling, pattern scaling, and atmospheric chemistry modeling.

Many components of the climate system could be better quantified and therefore allow for greater parameterisation in the models to make the models more accurate.

The intent of downscaling is to achieve accurate, higher spatial resolution of weather and other components of the climate system than is achievable with the coarser spatial resolution global model.

All climate models incorporate some form of carbon cycle component.

Athur Smith writes «And I disagree with both Jason and Roger — neither climate models nor observations provide the best tool for understanding — rather, an understanding of the essential physical components and how they interact and respond is what should provide the greatest understanding.»

Accurate modeling of soot is a critical component in climate models.

These all have a climate component, and more and more research is focused on teasing the relationships out and modeling what we can expect in the future.