Sentences with phrase «scenario analysis model»

For her study on geologic storage, Lord and her colleagues analyzed and reworked the geologic storage module of Argonne National Laboratory's Hydrogen Delivery Scenario Analysis Model.

Not exact matches

Our analysis has modelled a limited number of alcohol taxation scenarios that may be considered politically feasible.

Four scenarios are modelled in this analysis:

«Our analysis — modelled on the default scenario that the UK withdraws completely from the EU and fails to reach trade and customs agreements with remaining EU member states — opens the door to the possibility that Scottish businesses and taxpayers will face a range of additional financial burdens in the form of increased trading and labour costs.

To get a sense for how this probability, or risk of such a storm, will change in the future, he performed the same analysis, this time embedding the hurricane model within six global climate models, and running each model from the years 2081 to 2100, under a future scenario in which the world's climate changes as a result of unmitigated growth of greenhouse gas emissions.

SRNL has unique experience and expertise in thermochemical hydrogen production flowsheet development, modeling, and simulation using commercial off - the - shelf (COTS) software to support conceptual designs, scenario studies, capital and operating cost estimates, comparison of alternative designs, and techno - economic analyses.

These actions produced models that account for the influence of smaller features than can be resolved in a global climate model and yielded composite climate scenarios suitable for analysis of specific local climate impacts.

While the study conducts a sensitivity analysis that includes one scenario with higher levels of production subsidies, the fact that the model's outputs seem to barely register a tripling of production subsidies raises some questions, especially in light of the findings of the other recent U.S. study led by the Stockholm Environment Institute and EarthTrack described above.

Analysis of simple models and intercomparisons of AOGCM responses to idealised forcing scenarios suggest that, for most scenarios over the coming decades, errors in large - scale temperature projections are likely to increase in proportion to the magnitude of the overall response.

Portfolio managers will be able to walk sponsors through a dashboard of assets, liabilities, funded status and potential risk measures, as well as model interest rate and portfolio sensitivities and provide what - if scenario analysis of portfolio changes.

Which implies an intense focus on intangibles like management, moats, business models, research & development, disruptive advantage, costs, margins, peer / sector analysis, scuttlebutt, and all manner of other SWOT, scenario & competitive analyses — yes, all the difficult & squishy stuff that never boils down nicely to a cheap price / book ratio.

Again, this worst - case scenario was modeled so detractors can't say the analysis is flawed, and thus will favor waiting as long as possible, when maximum tax inclusion rates are assumed.

Analysis of simple models and intercomparisons of AOGCM responses to idealised forcing scenarios suggest that, for most scenarios over the coming decades, errors in large - scale temperature projections are likely to increase in proportion to the magnitude of the overall response.

Furthermore, the value of 2.8 °C you mentioned is the best estimate from an analysis of many different models, the likely temperature rise for the A1B scenario is given as 1.7 - 4.4 °C by the IPCC, so our result is higher than the best estimate, but well within the range of all IPCC models.

When the climate model output is fed into ecosystem models, and these in turn are coupled to socio - economic analysis tools, the potential future scenarios that come out, assuming the world continues its business as usual, appear rather grim, see e.g. the very interesting final report of the European ATEAM project.

Sensitivity analysis shows that future fire potential depends on many factors such as climate model and emission scenario used for climate change projection.

The 3 forcing scenarios are nothing to do with the model — they come from analyses of real world emissions and there will always be ambiguity when forecasting economics.

Though the study's authors concede the study is limited by the «availability of data and the necessity to make assumptions to model likely scenarios,» they carried out sensitivity analysis to assess the resuts, and also found that in all scenarios tested there was a net benefit (i.e. increased longevity) for Bicing users.

The analysis also follows the advice in the IPCC Good - Practice - Guidance - Paper on using climate model results: the local climate change scenarios should be based on (i) historical change, (ii) process change (e.g. changes in the driving circulation), (iii) global climate change projected by GCMs, and (iv) downscaled projected change.

Again more sobering is «Development of regional future climate change scenarios in South America using the Eta CPTEC / HadCM3 climate change projections: climatology and regional analyses for the Amazon, São Francisco and the Paraná River basins» — a mouthful - titled publication in Climate Dynamics from 2012 that (indeed) uses the Hadley Centre climate model to conclude that droughts in the Amazon basin could increase rather dramatically.

Also referred to as synthetic scenarios (IPCC, 1994), they are commonly applied to study the sensitivity of an exposure unit to a wide range of variations in climate, often according to a qualitative interpretation of projections of future regional climate from climate model simulations (guided sensitivity analysis, see IPCC - TGCIA, 1999).

This analysis modeled exposure to coastal flooding for four different points in time (2012, 2050, 2070, and 2100) and two different sea level rise scenarios.

A recent meta - analysis published in the journal Nature Climate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on crop yield.

Access our latest modelling and analysis to gain insight into potential future scenarios for climate change globally.

Betz, G. (2009a) «Underdetermination, model - ensembles and surprises: On the epistemology of scenario - analysis in climatology», Journal for General Philosophy of Science.

Topics include scenario planning, resource modeling, community and stakeholder input processes, and analysis of locally produced biofuels, wind and solar energy opportunities (both distributed and large scale), battery storage, and other renewable energy options.

Using an ensemble of four high resolution (~ 25 km) regional climate models, this study analyses the future (2021 - 2050) spatial distribution of seasonal temperature and precipitation extremes in the Ganges river basin based on the SRES A1B emissions scenario.

In your analysis, have you run any scenarios that model such declines in the cost of emission reductions?

The model behind the research is available for scientists and policymakers to design their own scenarios for bioenergy, conduct sensitivity analysis, and get immediate feedback showing the full dynamics, including both short and long run impacts.

The main purpose of the first phase (development of the RCPs) is to provide information on possible development trajectories for the main forcing agents of climate change, consistent with current scenario literature allowing subsequent analysis by both Climate models (CMs) and Integrated Assessment Models (IAMs).1 Climate modelers will use the time series of future concentrations and emissions of greenhouse gases and air pollutants and land - use change from the four RCPs in order to conduct new climate model experiments and produce new climate scenarios as part of the parallel models (CMs) and Integrated Assessment Models (IAMs).1 Climate modelers will use the time series of future concentrations and emissions of greenhouse gases and air pollutants and land - use change from the four RCPs in order to conduct new climate model experiments and produce new climate scenarios as part of the parallel Models (IAMs).1 Climate modelers will use the time series of future concentrations and emissions of greenhouse gases and air pollutants and land - use change from the four RCPs in order to conduct new climate model experiments and produce new climate scenarios as part of the parallel phase.

His current research focuses on the role of technology in addressing climate change, scenario analysis, and integrated assessment model development.

a fully consistent modelling framework is not available; that is why a scenario analysis was applied

One of the most exciting outcomes from Ensembles is the development of a climate mitigation scenario and its analysis by a variety of state - of - the - art climate models, many of which include carbon cycle feedbacks.

Each solution model uses unique adoption trajectories evaluated based on meta - analyses of existing prognostications of solutions, extrapolations from historical data, or scenario analyses depending on the availability of global and regional data.

In order to underpin scenario analysis of the World Energy Outlook, an extensive effort is made to update and expand the list of energy and climate - related policies and measures that feed into our modelling.

analysis of state - of - art global and regional climate model simulations to produce climate scenarios

The main outcomes of the ACCLIM project included; (i) return periods of extreme weather events based on observations at twelve weather stations, (ii) climate scenarios and probabilistic estimates of changes in climate over Finland based on an analysis of global and regional climate model simulations, (iii) guidance in the use of climate information in climate change impacts and adaptation research.

Sensitivity analysis shows that different assumptions of climate sensitivity, carbon cycle model or scenario do not substantially change the outcome.

The analysis covered (i) historical and future links between climate parameters and tea yields, (ii) a carbon life cycle analysis, (iii) tea management scenarios under climate change using aquacrop model, and (iv) a socio - economic analysis of small holder tea farms and households and their coping options under climate change.

A scenario analysis of China's land use and land cover change: incorporating biophysical information into input - output modeling

This applied the Ravetz and Funtowicz NUSAP system to a variety of case studies including an interesting sensitivity analysis of model parameters in emissions scenarios.

Integrating I - O framework with electrical and dispersion models, dose - response functions and GIS data, this model aims to expand policy makers» scope of analysis and provide an auxiliary tool to assess energy planning scenarios in Brazil.

Aurora's financial analysis features allow you to model the impact of different scenarios on a project's finances, as we have done here.)

Working on a «best case scenario» of global carbon emissions reaching a zero level by the end of the century, the simulation designed by experts at the Canadian Centre for Climate Modelling and Analysis and the University of Calgary, has concluded that recent rises in greenhouse gas emissions will nevertheless cause unstoppable effects to the global climate for the next 1,000 years.

For those interested in learning more about effective data analysis in e-discovery, FTI Technology is partnering with the Electronic Discovery Reference Model («EDRM») for a three - part educational webcast series on the practical application of visual analytics and other data analysis techniques in common e-discovery scenarios.

Simulated * Conducted Tolerance Stack - up Analysis and launched Six Sigma experimentation for 80 single strip wheels and analyzed current sigma level * Identified root causes of variation of key variables and resulted in annual cost reduction of $ 200,000 real world scenarios in bi-level programming model and concluded the sensitivity analysis of carbon emissions cost impact on company profit * Organized a survey among Analysis and launched Six Sigma experimentation for 80 single strip wheels and analyzed current sigma level * Identified root causes of variation of key variables and resulted in annual cost reduction of $ 200,000 real world scenarios in bi-level programming model and concluded the sensitivity analysis of carbon emissions cost impact on company profit * Organized a survey among analysis of carbon emissions cost impact on company profit * Organized a survey among heads...