Sentences with phrase «global warming the model simulates»

1) Connection to global warming The model simulates an increase in Northern England precipitation in winter, but the trend is not as large as the observed one.

Not exact matches

They found no significant trends, but when they put the data into computer models and simulated a rise in temperature — as predicted through global warming — the results were striking.

Although computer models used to project climate changes from increasing greenhouse gas concentrations consistently simulate an increasing upward airflow in the tropics with global warming, this flow can not be directly observed.

The explanation for this could be that the global warming is not yet strong enough to trigger the changes in precipitation patterns that climate models simulate,» reports Charpentier Ljungqvist.

The authors compared the Paris Agreement 1.5 C warming scenario to the currently pledged 3.5 C by using computer models to simulate changes in global fisheries and quantify losses or gains.

Testing models against the existing instrumental record suggested CO2 must cause global warming, because the models could not simulate what had already happened unless the extra CO2 was added to the model.

Yoshizaki, M., et al., 2005: Changes of Baui (Mei - yu) frontal activity in the global warming climate simulated by a non-hydrostatic regional model.

The diagnostics, which are used to compare model - simulated and observed changes, are often simple temperature indices such as the global mean surface temperature and ocean mean warming (Knutti et al., 2002, 2003) or the differential warming between the SH and NH (together with the global mean; Andronova and Schlesinger, 2001).

Figure 3 is a similar graphic to that presented in Meehl et al. (2004), comparing the average global surface warming simulated by the model using natural forcings only (blue), anthropogenic forcings only (red), and the combination of the two (gray).

... it is sometimes argued that the severity of model - projected global warming can be taken less seriously on the grounds that models fail to simulate the current climate sufficiently accurately.

On the contrary, our results add to a broadening collection of research indicating that models that simulate today's climate best tend to be the models that project the most global warming over the remainder of the twenty - first century.

We recently published a study in Scientific Reports titled Comparing the model - simulated global warming signal to observations using empirical estimates of unforced noise.

Yadvinder Malhi, an ecologist at Oxford specializing in the Amazon, said that nearly all climate models simulating the impacts of global warming show the area staying wet even as other parts of the vast basin get drier.

Kosaka and Xie made global climate simulations in which they inserted specified observed Pacific Ocean temperatures; they found that the model simulated well the observed global warming slowdown or «hiatus,» although this experiment does not identify the cause of Pacific Ocean temperature trends.

Models simulate that global mean precipitation increases with global warming.

The uncertainty in the range of future warming is mostly due to differences in how models simulate changes in clouds with global warming.

For the mid-Holocene, coupled climate models are able to simulate mid-latitude warming and enhanced monsoons, with little change in global mean temperature (< 0.4 °C), consistent with our understanding of orbital forcing.

When increasing CO2 is added, their models can simulate average global warming since the 1970s.

A paper published in Nature Climate Change, Frame and Stone (2012), sought to evaluate the FAR temperature projection accuracy by using a simple climate model to simulate the warming from 1990 through 2010 based on observed GHG and other global heat imbalance changes.

So, they didn't actually simulate sea level changes, but instead estimated how much sea level rise they would expect from man - made global warming, and then used computer model predictions of temperature changes, to predict that sea levels will have risen by 0.8 - 2 metres by 2100.

A number of the man - made global warming computer models have tried to simulate how much «sea level rise» to expect from man - made global warming, e.g., Meehl et al., 20015 (Abstract; Google Scholar access); Jevrejeva et al., 2010 (Abstract; Google Scholar access); Jevrejeva et al., 2012 (Abstract; Google Scholar access).

As a result of the significant scientific effort to date, aided by public concern, models simulating climate change have gained considerable skill... There will be many scientific and technical challenges along the way, but the hope is that simulations of the global environment will be able to maximise the number of people around the world who can adapt to, and be protected from the worst impacts of, global warming.

However, climate models have simulated global surface warming quite accurately on the whole.

Rather than questioning the primary role of the atmospheric CO2, our modelling results allow us to put forward that the atmospheric CO2 is not the whole story and that, owing to the overwhelming effect and interplay between the paleogeography, the water cycle and the seasonal response, the climate system may undergo subtle climatic changes (as the 4 °C global warming simulated here between the Aptian and the Maastrichtian runs).

David Keller and colleagues from the Helmholtz Centre for Ocean Research in Kiel, Germany and colleagues report in Nature Communications that they used an earth system model to simulate five very different strategies to reduce the rate of global warming and keep the climate from dramatic change.

It's obvious that global sea surfaces simulated by the GISS climate model were warmer than observed and that the GISS model warming rate is too high over the past 3 decades.

And fourth, in another new study, scientists confirmed that climate models way overestimated global warming for the last 20 years because... wait for it... the models are likely unable to simulate natural climate variation correctly.

So, one way in which the climate models can simulate «global warming» is by increasing CO2 concentrations.

Testing models against the existing instrumental record suggested CO2 must cause global warming, because the models could not simulate what had already happened unless the extra CO2 was added to the model.

Hezel and colleagues (2012), who developed a model to project April snow depths into the 21st century to see how ringed seals might be affected by global warming, used simulated data generated by other models developed by the Climate Model Intercomparison Project (CMIP5; explained in Taylor et al. 2012); Hudson Bay, Foxe Basin and Davis Strait regions were not included in this analmodel to project April snow depths into the 21st century to see how ringed seals might be affected by global warming, used simulated data generated by other models developed by the Climate Model Intercomparison Project (CMIP5; explained in Taylor et al. 2012); Hudson Bay, Foxe Basin and Davis Strait regions were not included in this analModel Intercomparison Project (CMIP5; explained in Taylor et al. 2012); Hudson Bay, Foxe Basin and Davis Strait regions were not included in this analysis.

The method is somewhat circular, since forcing for each model is calculated each year as the product of its estimated climate feedback parameter and its simulated global warming, adjusted by the change in its radiative imbalance (heat uptake).

Dr. Jana Sillmann et al — IopScience — 18 June 2014 Observed and simulated temperature extremes during the recent warming hiatus «This regional inconsistency between models and observations might be a key to understanding the recent hiatus in global mean temperature warming.»

17 Modeling Global Warming Computer modeling is complicated by the Earth's feedback processes that sometimes make it necessary to use different equations under changing simulated envirModeling Global Warming Computer modeling is complicated by the Earth's feedback processes that sometimes make it necessary to use different equations under changing simulated envirmodeling is complicated by the Earth's feedback processes that sometimes make it necessary to use different equations under changing simulated environments.

The researchers used data on earlier warm periods in Earth's history to estimate climate impacts as a function of global temperature, climate models to simulate global warming, and satellite data to verify ongoing changes.

Modeled regional and global climate responses to simulated (107, 110, 111) and reconstructed historical land cover changes over the past century (112) and millennium (113) generally agree that anthropogenic deforestation drives biogeophysical cooling at higher latitudes and warming in low latitudes and suggest that biogeochemical impacts tend to exceed biogeophysical effects (113).

At the same time a newer model study by Wyant et al. using superparameterization to better simulate the behavior of clouds, also shows a global net negative cloud feedback with warming.

C / decade and the simulated ensemble mean over the models, calculated from the grid boxes of the models where observations exist (which is flawed in my opinion, since excluding of mostly the high latitudes from the model data may emphasize a warm bias in lower latitudes in the models making them appear warmer than they are, but a possible cold bias of the global observations data set is not excluded in this way) had a trend of 0.3 deg.

My quote referred to the assertion that there was an increasing discrepancy between observed global temperatures and model simulated global temperature used for the global warming predictions presented in the IPCC report.

In paper published in 2006 in the Journal of the Meteorological Society of Japan titled, «Tropical Cyclone Climatology in a Global - Warming Climate as simulated in a 20 km - Mesh Global Atmospheric Model: Frequency and Wind Intensity Analyses», Oouchi et al. used a high resolution GCM with 20 km grid resolution to look at the frequency of tropical cyclones late this century.

may give cause for some to question the wider role of climate change and not solely global warming, that are induced by anthropogenic emissions, changes in land use, water quality etc for which there is direct empirical data in the form of images, and not in mathematical treatments of theory and simulated models.

Models generally aren't very good at simulating changes in rainfall patterns to increasing GHG and resulting global warming.

The study of climate - induced changes in key ecosystem processes (Scholze et al., 2005) considers the distribution of outcomes within three sets of model runs grouped according to the amount of global warming they simulate: < 2 °C, 2 - 3 °C and > 3 °C.

The study, using complex climate modeling software to simulate changes in forest cover and then measuring the impact on global climate, found that northern forests tend to warm the Earth because they absorb a lot of sunlight without losing much moisture.

It turns out, models have simulated over four times as much warming compared to reality since 1998, according to a recent study in the journal Nature Climate Change, entitled: «Overestimated global warming over the past 20 years.»