Sentences with phrase «different climate models project»

Not exact matches

They used two different climate models, each with a different sensitivity to carbon dioxide, to project California's future under two scenarios: an optimistic one, in which we only double the level of carbon dioxide in the atmosphere — since the 19th century we've already increased it by about a third — and a pessimistic scenario, in which we more than triple CO2.

They then looked at 11 different climate models that predict precipitation and CAPE through this century and are archived in the most recent Coupled Model Intercomparison Project (CMIP5).

O'Gorman studied daily snowfall across the Northern Hemisphere using 20 different climate models, each of which projected climate change over a 100 - year period, given certain levels of greenhouse gas emissions.

Consequently, the research community is using different models, different data sets, and different configurations that, when projected in global climate models, become impossible to handle computationally.

The researchers use computer models to forecast future ocean conditions such as surface temperatures, salinity, and currents, and project how the distribution of different fish species could respond to climate change.

Finally, due to the mechanistic nature of the climate forcing models, we project historical and future nesting trajectories based on available climate data and under different climate change scenarios.

Caldeira and Myhrvold analyzed more than 50 climate simulations, which were performed using 20 different climate models for the Climate Model Intercomparison Project, Phase 5 (climate simulations, which were performed using 20 different climate models for the Climate Model Intercomparison Project, Phase 5 (climate models for the Climate Model Intercomparison Project, Phase 5 (Climate Model Intercomparison Project, Phase 5 (CMIP5).

The scientists got a very similar result when they repeated their analysis with a different set of models (those used in the Weather@Home project), strengthening confidence in their conclusion that the record high temperatures were highly unlikely in the absence of climate change.

GCM results are used: «The large - scale thermodynamic boundary conditions for the experiments — atmospheric temperature and moisture profiles and SSTs — are derived from nine different Coupled Model Intercomparison Project (CMIP2 +) climate models.»

These projects have looked at modelling different aspects of the climate system, past and present, including:

For the first time, researchers have been able to combine different climate models using spatial statistics — to project future seasonal temperature changes in regions across North America.

Different models with equivalent current projections may project very different future ranges based on how those models interpolate new climate combinations not represented in the current climate dDifferent models with equivalent current projections may project very different future ranges based on how those models interpolate new climate combinations not represented in the current climate ddifferent future ranges based on how those models interpolate new climate combinations not represented in the current climate data [58].

> Advances in climate change modelling now enable best estimates and likely assessed uncertainty ranges to be given for projected warming for different emission scenarios.

And different models may project different outcomes even under the same assumptions, due to the variety of «equally plausible numerical representations, solutions and approximations for modelling the climate system, given the limitations in computing and observations» [AR5, FAQ 12.1, p. 1036].

In our climate modeling project we were trying to combine different temperature forecasts on a scale in which Africa was represented by about 600 grid boxes.

The comparison of different computer simulations of climate change impacts is at the heart of the ISIMIP project (Inter-Sectoral Impacts Modelling Intercomparison Project) comprising about 100 modelling groups worproject (Inter-Sectoral Impacts Modelling Intercomparison Project) comprising about 100 modelling groups wModelling Intercomparison Project) comprising about 100 modelling groups worProject) comprising about 100 modelling groups wmodelling groups worldwide.

However, there remains uncertainty in the rate of sea ice loss, with the models that most accurately project historical sea ice trends currently suggesting nearly ice - free conditions sometime between 2021 and 2043 (median 2035).12 Uncertainty across all models stems from a combination of large differences in projections among different climate models, natural climate variability, and uncertainty about future rates of fossil fuel emissions.

Here, we introduce the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), where a set of idealized experiments designed to understand the role of different climate forcing mechanisms were performed by a large set of climate models.

Models can not be wrong as they only «project» and not «predict»; apparently the meanings are quite different and only morons outside of Climate Science can not understand the difference between the two.

I examined simulations from 34 different climate models, each run with projected increases in greenhouse gas concentrations.

They then looked at 11 different climate models that predict precipitation and CAPE through this century and are archived in the most recent Coupled Model Intercomparison Project (CMIP5).

Different vegetation models driven with similar climate projections also show Amazon dieback (82), but other global climate models (83) project smaller reductions (or increases) of precipitation and, therefore, do not produce dieback (84).

We are using the citizen science regional climate modelling project weather@home to perform large ensembles of the different experiments described below.

While the underlying report showed projected future warming for a range of different climate models, the Technical Summary focused on a central estimate.

I should begin by disclosing that as a former project scientist at the National Center for Atmospheric Research, I was tasked with thinking about how to combine data from different climate models into probabilistic projections of regional climate change.

In the latter case, the alternative relative SST measure in the lower panel does not change very much over the 21st century, even with substantial Atlantic warming projections from climate models, because, crucially, the warming projected for the tropical Atlantic in the models is not very different from that projected for the tropics as a whole.

The range of projected global warming of 1.6 — 6.9 °C was from a wide set of emission scenarios examined with a number of different types of models, including AOGCMs, simple climate models and Earth system models (including both GCMs and simple models incorporating biogeochemical feedbacks).

For DJF (figure 4a), the spatial extent of the maximum and minimum areas projected to experience the highest climate changes under a global warming of 4 °C is very different, highlighting the uncertainty that mostly originates from the different temperature changes projected by the models.

The first paper (Flower et al., 2013) used downscaled climate data from global climate models, subject to three different emissions scenarios, to examine the effect of projected climate change on the distribution of Douglas Fir and three types of spruce.

Three - dimensional (3D) planetary general circulation models (GCMs) derived from the models that we use to project 21st Century changes in Earth's climate can now be used to address outstanding questions about how Earth became and remained habitable despite wide swings in solar radiation, atmospheric chemistry, and other climate forcings; whether these different eras of habitability manifest themselves in signals that might be detected from a great distance; whether and how planets such as Mars and Venus were habitable in the past; how common habitable exoplanets might be; and how we might best answer this question with future observations.

The projected mean warming for Latin America to the end of the century, according to different climate models, ranges from 1 to 4 °C for the SRES emissions scenario B2 and from 2 to 6 °C for scenario A2 (medium confidence).