Sentences with phrase «future climate model analyses»

Best resource for future climate model analyses: PCMDI database of IPCC AR4 simulations.

Not exact matches

The goals of the project include reconstructing extreme climate changes from the recent past (1894 - 2014), using historically referenced data to assess near - future global climate model projections, and to ultimately use this analysis to investigate ecological problems in Chesapeake Bay, such as eelgrass diebacks.

«Prior analyses have found that climate models underestimate the observed rate of tropical widening, leading to questions on possible model deficiencies, possible errors in the observations, and lack of confidence in future projections,» said Robert J. Allen, an assistant professor of climatology in UC Riverside's Department of Earth Sciences, who led the study.

Climate models such as those developed at GFDL can help researchers predict future levels of smog, enabling cost - benefit analyses for costly pollution control measures.

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.

Researchers use risk analysis and modeled climate change to assess fire risk in The Golden State's future

The analysis of processes contributing to climate feedbacks in models and recent studies based on large ensembles of models suggest that in the future it may be possible to use observations to narrow the current spread in model projections of climate change.

The scientists behind today's analysis used the same 13 climate models to investigate how often we might see a repeat of such high Arctic winter temperatures in future as warming continues.

linking probabilistic simple climate models, complex Earth system models, and econometric analyses of historical weathering and climate impacts to project future risks associated with climate change and improve estimates of the social cost of carbon.

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.

Well, it is a very ambitions and painstaking project which has managed to bring together all the aforementioned modeling groups which run specified model experiments with very similar forcings and then performed coordinated diagnostic analyses to evaluate these model simulations and determine the uncertainty in the future climate projections in their models.

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

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 dramatclimate 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 dramatclimate 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 dramatClimate Dynamics from 2012 that (indeed) uses the Hadley Centre climate model to conclude that droughts in the Amazon basin could increase rather dramatclimate 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).

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

On the first sentence stating that the WGI report considers evidence of past and future climate change based on many independent scientific analyses from observations of the climate system, paleoclimate archives, theoretical studies of climate processes, and simulations using climate models, Saudi Arabia proposed clarifying that evidence of future climate change is based on models and simulations only.

But from this kind of analyses, frequently the stakeholders are the participants that ask for support from (regional) climate models to illustrate the possible alternative future conditions.

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.

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 parallelclimate 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 parallelClimate 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 parallelClimate 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 parallelclimate model experiments and produce new climate scenarios as part of the parallelclimate scenarios as part of the parallel phase.

We know from our analysis of climate change, from the accelerating deterioration of the economy's ecological supports, and from our projections of future resource use that the western economic model — the fossil - fuel - based, automobile - centered, throwaway economy — will not last much longer.

DAGW «consensus» believers apparently do not like your analyses, because they are based on actual observations of past climate trends rather than on model predictions of future climate changes, which myopically fixate on the human - induced aspect only.

For example, analysis of these measures shows a decrease in heating degree days for Canada and an increase in cooling degree days in the southwest USA in model simulations of future climate with increased greenhouse gases (Zwiers and Kharin, 1998; Kharin and Zwiers, 2000), though this can be considered a general feature associated with an increase in temperature.

Jin - Ho Yoon, Earth systems analysis and modelling scientist at the US government's Pacific Northwest National Laboratory [http://www.pnnl.gov/], and colleagues have now taken a close look at one of global climate's great natural confounding factors, and its future role in California's climate.

UNISDR also disseminates analysis and climate risk information through biennial Global Assessment Reports, including risk modelling based on disaster loss data to develop probabilistic estimations of future risk in vulnerable countries.

Analyses such as these should be useful for future climate model development as they indicate the robust biases found in the state - of - the art climate model ensembles.

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.

Finally, there's consensus that we can not look at climate forecasts — in particular, probabilistic forecasts — the same way we view weather predictions, and none of us would sell climate - model output, either at face value or after statistical analysis, as a reliable representation of the complete range of possible futures.

Rangwala, I., J. Miller, G.L. Russell, and M. Xu, 2006: Analysis of global climate model experiments to elucidate past and future changes in surface insolation and warming in China.

By using a variety of new remote sensing data, regional modeling, trajectory models, chemical analyses of dust, and future climate simulations, we investigate the current and past sensitivity of the Bodélé.