Sentences with phrase «found by climate models»

Making these assumptions gives a value for climate sensitivity consistent with that found by climate models.

Not exact matches

Darin Kingston of d.light, whose profitable solar - powered LED lanterns simultaneously address poverty, education, air pollution / toxic fumes / health risks, energy savings, carbon footprint, and more Janine Benyus, biomimicry pioneer who finds models in the natural world for everything from extracting water from fog (as a desert beetle does) to construction materials (spider silk) to designing flood - resistant buildings by studying anthills in India's monsoon climate, and shows what's possible when you invite the planet to join your design thinking team Dean Cycon, whose coffee company has not only exclusively sold organic fairly traded gourmet coffee and cocoa beans since its founding in 1993, but has funded dozens of village - led community development projects in the lands where he sources his beans John Kremer, whose concept of exponential growth through «biological marketing,» just as a single kernel of corn grows into a plant bearing thousands of new kernels, could completely change your business strategy Amory Lovins of the Rocky Mountain Institute, who built a near - net - zero - energy luxury home back in 1983, and has developed a scientific, economically viable plan to get the entire economy off oil, coal, and nuclear and onto renewables — while keeping and even improving our high standard of living

Regardless of what climate models find, investigating these long - distance links in weather could also pay off by improving risk prediction and forecasts.

Other crowdsourced projects include labeling aerial photos of Mongolia in a quest to find Genghis Khan's tomb and improving climate models by poring over World War I ship logs for weather information.

A new climate change modeling tool developed by scientists at Indiana University, Princeton University and the National Oceanographic and Atmospheric Administration finds that carbon dioxide removal from the atmosphere owing to greater plant growth from rising CO2 levels will be partially offset by changes in the activity of soil microbes that derive their energy from plant root growth.

Global climate models find that rainfall in northeast Brazil is expected to decrease in the coming decades, and some rivers could see flows reduced by 60 to 70 percent, he said.

A U.S. Forest Service (USFS) study found that between 53 and 97 percent of natural trout populations in the Southern Appalachian region of the U.S. could disappear due to warmer temperatures predicted by global climate change models.

One positive finding of the ecological niche modelling study is that while the ranges of many species are expected to contract, much of the remaining suitable habitat for many species will be located within existing protected areas, and that the recent creation of new reserves such as Itombwe and Kabobo in the Democratic Republic of Congo, have greatly increased the protection of some species under threat by future climate change.

By looking at climate models, Cai found that most of the time, this oscillation is dampened by the wind flowing in the opposite directioBy looking at climate models, Cai found that most of the time, this oscillation is dampened by the wind flowing in the opposite directioby the wind flowing in the opposite direction.

While his new study makes no use of the huge computer models commonly used by scientists to estimate the magnitude of future climate change, Lovejoy's findings effectively complement those of the International Panel on Climate Change (IPCC), hclimate change, Lovejoy's findings effectively complement those of the International Panel on Climate Change (IPCC), hClimate Change (IPCC), he says.

Using a model he developed, Hamilton found that the initial location of Sputnik Planitia could be explained by Pluto's unusual climate and its spin axis, which is tilted by 120 degrees.

On the basis of where in Europe each ESU is found, the researchers then analysed whether the associated insect would be able to tolerate higher temperatures or move to somewhere cooler, using two models developed by the Intergovernmental Panel on Climate Change (IPCC).

«Climate sceptics like to criticize climate models for getting things wrong, and we are the first to admit they are not perfect, but what we are finding is that the mistakes are being made by those models which predict less warming, not those that predict more,» said Prof. ShClimate sceptics like to criticize climate models for getting things wrong, and we are the first to admit they are not perfect, but what we are finding is that the mistakes are being made by those models which predict less warming, not those that predict more,» said Prof. Shclimate models for getting things wrong, and we are the first to admit they are not perfect, but what we are finding is that the mistakes are being made by those models which predict less warming, not those that predict more,» said Prof. Sherwood.

Using climate models to project into the future, the team found the amount of time increased temperatures are expected to strip the air of moisture could up to double by the 2080s.

Dr Nikolaos Skliris, a Research Fellow at the University of Southampton who led the study, said: «Our findings match what has been predicted by models of a warming climate; as the world gets warmer wet regions will continue to get wetter and dry regions will continue to get drier.

Using a model of water flow into the lake, the researchers found that 60 % of this decline was caused by climate changes, such as change in precipitation and temperature, and that the remaining 40 % of the decline could be attributed to water resources development, such as diverting water for irrigation that would otherwise flow into the lake.

The study by researchers including Joel E. Cohen, a visiting scholar at the University of Chicago, finds the increase in tornado outbreaks does not appear to be the result of a warming climate as earlier models suggested.

On the face of it the range of the IPCC models is centrally within the A&H 90 % range, but visual inspection of Figure 1 suggests that A&H find that there is about a 45 % probability that climate sensitivity is below the lower end of the range quoted by Meehl in August 2004 (Of course the IPCC draft report, which I have not seen, may include models with lower sensitivity than 2.6 ºC).

Running atmospheric computer models, British researchers found a connection between climate change and turbulence, and they predict that the average strength of turbulence will increase by 10 to 40 % by 2050.

The model found that long - term, less easily reversed behavioral changes, such as insulating homes or purchasing hybrid cars, had by far the most impact in mitigating greenhouse gas emissions and thus reducing climate change, versus more short - term adjustments, such as adjusting thermostats or driving fewer miles.

Model studies for climate change between the Holocene and the Pliocene, when Earth was about 3 °C warmer, find that slow feedbacks due to changes of ice sheets and vegetation cover amplified the fast feedback climate response by 30 — 50 % [216].

After all, it seems crystal clear what the underlying calculation was: since AMEG had engaged in «high profile extrapolation» using PIOMAS, and Real Climate found this not to be judicious, they decided to take them down and discredit them by getting those who have been working inside PIOMAS modelling to say that they had misused or misunderstood the model.

Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureClimate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).

In a recent paper by Bengtsson & Hodges (2006), simulations with the ECHAM5 Global Climate Model (GCM) were analysed, but they found no increase in the number of mid-latitude storms world - wide.

Their findings suggest that the models used by the Intergovernmental Panel on Climate Change, on average, may be underestimating future warming.

However, we do not find that model errors can be taken as evidence that global warming is over-projected by climate models.

48 nigelj says re quoting «Their findings suggest that the models used by the Intergovernmental Panel on Climate Change, on average, may be underestimating future warming.»

I was wondering for some time now, how much the findings of the work of scientists, be it the IPCC, be it the PIK in Potsdam or what have you, can be taken for granted in order for policy makers to make valuable decisions (e.g. cutting carbon emissions by half by 2050) and if the uncertainties in the models might outweigh certain decisions to reduce carbon emissions so that in the end it might happen that these uncertainties make these decisions obsolete, because they do not suffice to avoid «dangerous climate change»?

DeBuys finds that things will be fine for the 3.5 million people who currently depend on this water for daily use as long as (1) predictions of climate change models prove groundless, (2) the kind of droughts documented by tree rings and other records of past climate disruptions don't occur, and (3) the cities of central Arizona don't grow so much that they consume their agricultural buffer, their main protection against uncertain years ahead.

By analyzing climate anomalies in the model that are similar to those that occurred in the early twentieth century, it was found that the simulated temperature increase in the Arctic was related to enhanced wind - driven oceanic inflow into the Barents Sea with an associated sea ice retreat.

Given that models have been improving in their ability to model processes, I personally find it difficult to believe that, at least in terms of a Bayesian analysis, the models themselves aren't doing better in terms of their ability to identify climate sensitivity by applying first principles to our climate system.

Finding myself in the same foxhole as Steve Schneider when the «Nuclear Winter «balloon went up — it was launched on the anniversary of Orson Welles» War of The Worlds Broadcast with a media graphics package prepared by the Creative Department of that great K - Street PR institution Porter Novell Inc., I remarked to him that it all seemed like a bad joke on Cold War policy analysts, played at the expense of the credibility of climate modeling on the eve of the global warming debate.

Using simulations with 22 climate models and the MOSES — TRIFFID * land surface scheme, we find that only in one of the simulations are tropical forests projected to lose biomass by the end of the twenty - first century — and then only for the Americas.

While it is occasionally found wandering to the interior, a large - scale shift to freshwater habitat, as is suggested by Audubon's climate model, is quite unlikely, regardless of future climate.

That finding, supported by Forest 2006 Fig.S.7, means that the SFZ 2008 surface model data on their own provide very little discrimination against high climate sensitivity, unlike the CSF 2005 data.

Spencer, who uses what he calls a simple model without looking at ocean heat or El Nino effects, finds fault with the more complicated models often run by mainstream climate scientists.

Although the IPCC climate models have performed remarkably well in projecting average global surface temperature warming thus far, Rahmstorf et al. (2012) found that the IPCC underestimated global average sea level rise since 1993 by 60 %.

However, our new statistical estimate of unforced variability is not radically different from that simulated by climate models and for the most part we find that climate models seem to get the «big picture» correct.

Specifically, when he looked at the climate models used by the IPCC, Kiehl found they all used very different assumptions for aerosol cooling and, most significantly, he found that each of these varying assumptions were exactly what was required to combine with that model's unique sensitivity assumptions to reproduce historical temperatures.

By putting models through their paces in an all - water world, scientists at Pacific Northwest National Laboratory found highly scale - sensitive issues in regional climate modeling.

He was referring to the climate model software written by CRU, I cou; dn't find an actual name for it but I did find the read me and along with it a great write up on why «open source science» would've helped avoid this scandal:

Inconvenient: New paper finds the last interglacial was warmer than today — not simulated by climate models Watts Up With That?

In the paper, according to the abstract, Scafetta compares the performance of a recently proposed empirical climate model based on astronomical harmonics against all CMIP3 available general circulation climate models (GCM) used by the IPCC (2007) and finds that the climate appears to be resonating with, or is synchronized to, a set of natural harmonics that have been associated to the solar system planetary motion.

``... 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....

I find the following section immensely telling about climate modeling: «The bottom line is that, although there has been some narrowing of the range of climate sensitivities that emerge from realistic models [Del Genio and Wolf, 2000], models still can be made to yield a wide range of sensitivities by altering model parameterizations.

As for my interest in the other side, that would be the side of light of course, while the dark side is where we find you groping about, led by the specious prognostications of AGW priests professing doom and gloom from their pseudoscientific crystal balls (aka climate models) if we don't lead a more sustainable life.

Our findings suggest that further changes to temperature extremes over parts of the Earth are likely to occur earlier than projected by the current climate models.

The most notable new result is the finding that the tropical Pacific has warmed significantly more slowly (and maybe not at all near the equator) than the rest of the world over this time, a feature that is not captured by most climate models simulations of 20th century climate changes.

We find that the expected 95 % range of future climate trends induced by NAO fluctuations estimated from the observed statistics of the NAO and the modeled response to increased GHGs is largely similar to that obtained from the CESM - LE directly, attesting to the fidelity of the model's representation of the NAO and the utility of this approach.

This new scientific finding helps explain why the climate models have been such miserable failures regarding global warming predictions, as noted by these charts: