Sentences with phrase «about the climate models used»

Details about the climate models used by the IPCC are provided in Chapter 6.6 of the report.

I sent Judith Curry (your coauthor) a link to my discussion about the climate models using the wrong dynamical equations with no response.

Not exact matches

About 80 percent of the 23 climate models used by the Intergovernmental Panel on Climate Change predict some degree of drought in the Amazon if greenhouse gas emissions keep climbing, hclimate models used by the Intergovernmental Panel on Climate Change predict some degree of drought in the Amazon if greenhouse gas emissions keep climbing, hClimate Change predict some degree of drought in the Amazon if greenhouse gas emissions keep climbing, he said.

The researchers then used a mathematical model that combined the conflict data with temperature and rainfall projections through 2050 to come up with predictions about the likelihood of climate - related violence in the future.

Uncertainty about rain, little uncertainty about sea level rise Climate change could also affect precipitation in California, though the two models USGS used in its research produced different results.

To model the projected impact of climate change on marine biodiversity, the researchers used climate - velocity trajectories, a measurement which combines the rate and direction of movement of ocean temperature bands over time, together with information about thermal tolerance and habitat preference.

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.

If only modest action is taken to reign in greenhouse gas emissions, the model predicts that pikas will disappear from about 75 percent of sites by 2070 (51 to 88 percent, depending on the global climate model used).

New climate models — made by using estimated radiation levels from that time, along with data from the Magellan spacecraft about Venus's current surface — suggest that Venus would have been only 11 °C (52 °F).

«A challenge for the coming years is to use these kinds of climate models to be able to make predictions about populations and ecosystems in the future.

«Our goal is to learn enough about these convoluted processes to represent them (for the first time) in the models that scientists use to predict how our climate will evolve over the 21st century and beyond.»

Who's to Blame To avoid price gouging, consumer advocate Newton and scientist Mills urge insurance companies to be transparent about the models they use for setting premiums — specifically how they factor in catastrophes believed to have been brought on by climate change.

Using climate models and data collected about aerosols and meteorology over the past 30 years, the researchers found that air pollution over Asia — much of it coming from China — is impacting global air circulations.

Scientists use data from the SGP to learn about cloud, aerosol, and atmospheric processes, which in turn leads to improvements in models of the Earth's climate.

Oppenheimer and his co-authors use a technique known as «structured expert judgment» to put an actual value on the uncertainty that scientists studying climate change have about a particular model's prediction of future events such as sea - level rise.

Because elements of this system are poorly understood and poorly represented in global climate models, collecting real - time, complementary data from a variety of areas will go a long way toward improving scientists ability to use these models for making accurate predictions about Earths climate.

The study noted that the same climate models the UN IPCC uses can only «explain only about half of the heating that occurred during a well - documented period of rapid global warming in Earth's ancient past.»

CO2 growth rates (CEI, p. 11): arguments about what growth rates for CO2 emissions that some models use are besides the point of what the science says about the climate sensitivity of the earth system (emissions growth rates are if anything an economic question).

The study began to answer some questions about the use of multi-resolution models for climate prediction, but it also raised others.

They do, however, raise serious questions about the validity of climate models (which are, of course, used to predict future warming and are used to set public policy and sway public opinion) and how much we are actually warming.

Why it matters: Current global climate models used to predict climate change account for large - scale climate processes, typically at scales greater than 100 kilometers, or about 62 miles.

The results could lead to better predictive models to inform future decisions about energy production and use, and a better understanding of changes in the climate.

The goal of the Integrated Scenarios project is to use the global climate models to describe as accurately as possible what the latest science says about the Northwest's future climate.

Ricke and Caldeira sought to correct that by combining the results from two large modeling studies one about the way carbon emissions interact with the global carbon cycle and one about the effect of carbon on the Earth's climate used by the Intergovernmental Panel on Climate climate used by the Intergovernmental Panel on Climate Climate Change.

A couple of commentators (Pat Michaels, Roy Spencer) recently raised an issue about the standard scenarios used to compare climate models, in this case related to a study on the potential increase in hurricane activity.

Keen not to jump to conclusions about the source of the warming in the early 1830s, Abram and her colleagues used climate models to examine what kinds of external factors could be responsible.

However, since a number of these estimates use simplified climate models as their input (for obvious reasons), there remain questions about whether any specific model's scope is adequate.

As our second year progressed, we began to see some positive results: Our use of common teacher and student language about behavior and rules, the emphasis on teacher modeling, and a great deal of practice in living our constitution all helped make the school climate more peaceful and productive.

When using your Vehicle, UVO eServices automatically (or passively), including, through the use of telematics, collects and stores information about your Vehicle, such as: (i) information about your Vehicle's operation, performance and condition, including such things as diagnostic trouble codes, oil life remaining, tire pressure, fuel economy and odometer readings, battery use management information, battery charging history, battery deterioration information, electrical system functions; (ii) driver behavior information, which is information about how a person drives a Vehicle, such as the actual or approximate speed of your Vehicle, seat belt use, information about braking habits and information about collisions involving your Vehicle and which air bags have deployed; (iii) information about your use of the Vehicle and its features, such as whether you have paired a mobile Device with your Vehicle); (iv) the precise geographic location of your Vehicle; (v) data about remote services we make available such as remote lock / unlock, start / stop charge, parking location, climate control, charge schedules, and Vehicle status check; (vi) when there is a request for service made; and (vii) information about the Vehicle itself (such as the Vehicle identification number (VIN), make, model, model year, selling dealer, servicing dealer, date of purchase or lease and service history)(collectively, «Vehicle Information»).

Happy to learn more about the use of sensitivity calculations in climate models, if you can point me to the appropriate link.

The thing I find a bit curious about the result that is the subject of this blog article, though, is the statement that the model used reproduces the Little Ice Age climate simply as a response to the luminosity reduction.

Modelling is generally shunned in attribution in favor of observation, but I do agree that climate science must turn to modelling when necessary, and that the statements in the 2010 post about using a lab are quite accurate and inModelling is generally shunned in attribution in favor of observation, but I do agree that climate science must turn to modelling when necessary, and that the statements in the 2010 post about using a lab are quite accurate and inmodelling when necessary, and that the statements in the 2010 post about using a lab are quite accurate and insightful.

When you think about the uncertainties of economic models and how much money is invested using those models as a basis, the idea that we don't know enough about climate change is laughable.

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).

We used it heavily as part of a Global Climate Processes course at UW - Madison for later undergrad and grad students, so it has a good deal of flexibility in what you can test (though the model blows up for extreme forcings like snowball Earth, I used CO2 at about 140 ppm and couldn't get much lower than that).

There were about twenty models used in the IPCC report and all gave different results for climate sensitivity.

However, that his statement can be quoted in a major US newspaper says much about the level of public knowledge concerning climate change and the models used to try and understand it.

Some people are used to models that either give * exact * answers that must be * right *, or are simply useless, and if so, are inclined to be cynical about results of climate models.

-- in which case, that's a statistical model prediction, which, at least in this context, we shouldn't rely on — if we actually know some things about how the climate works then it makes more sense to use that knowledge.

Some of the models also involve ensemble calculations, and again it may be instructive for the climate modellers to describe something about the use of these, especially as the public has been involved in some ensemble calculations being run on their pc's at home.

Disagreement about how many EOFs [empirical orthogonal functions] to use to model Antarctic [temperature] changes doesn't imply that climate physics is wrong.

I'm curious about the use of the Pinatubo eruption in testing the climate models.

Government climate models that had predicted climatic changes haven't at all fit the facts of how the climate has changed, but the government still wants to use what they say about future climate to make today's policy.

We already looked at how climate skeptics rely on a selective reading of the literature to highlight low estimates of climate sensitivity and use the divergence between climate models and measured temperatures to make conjectural statements about climate models being too sensitive to CO2, without considering other factors that could account for such divergence.

There is, however, a point to be made about exercising caution when evaluating the forward - looking output of a computer model, particularly when those models are used to advocate policy changes on the assumption that the computer model accurately simulates the earth's climate, and more particularly when there is no demonstrable track record of the predictive accuracy of the model.

What's lost in a lot of the discussion about human - caused climate change is not that the sum of human activities is leading to some warming of the earth's temperature, but that the observed rate of warming (both at the earth's surface and throughout the lower atmosphere) is considerably less than has been anticipated by the collection of climate models upon whose projections climate alarm (i.e., justification for strict restrictions on the use of fossil fuels) is built.

«Within that butterfly - effect - like chaos, Gutzler said it's possible that the predictive climate models scientists use are partially wrong — not about the fact that the planet is warming, but about how, when, and where that warming will occur.»

2: Our Changing Climate, Key Message 5).2 Regional climate models (RCMs) using the same emissions scenario also project increased spring precipitation (9 % in 2041 - 2062 relative to 1979 - 2000) and decreased summer precipitation (by an average of about 8 % in 2041 - 2062 relative to 1979 - 2000) particularly in the southern portions of the Midwest.12 Increases in the frequency and intensity of extreme precipitation are projected across the entire region in both GCM and RCM simulations (Figure 18.6), and these increases are generally larger than the projected changes in average precipitatioClimate, Key Message 5).2 Regional climate models (RCMs) using the same emissions scenario also project increased spring precipitation (9 % in 2041 - 2062 relative to 1979 - 2000) and decreased summer precipitation (by an average of about 8 % in 2041 - 2062 relative to 1979 - 2000) particularly in the southern portions of the Midwest.12 Increases in the frequency and intensity of extreme precipitation are projected across the entire region in both GCM and RCM simulations (Figure 18.6), and these increases are generally larger than the projected changes in average precipitatioclimate models (RCMs) using the same emissions scenario also project increased spring precipitation (9 % in 2041 - 2062 relative to 1979 - 2000) and decreased summer precipitation (by an average of about 8 % in 2041 - 2062 relative to 1979 - 2000) particularly in the southern portions of the Midwest.12 Increases in the frequency and intensity of extreme precipitation are projected across the entire region in both GCM and RCM simulations (Figure 18.6), and these increases are generally larger than the projected changes in average precipitation.12, 2

If only GHG forcing is used, without aerosols, the surface temperature in the last decade or so is about 0.3 - 0.4 C higher than observations; adding in aerosols has a cooling effect of about 0.3 - 0.4 C (and so cancelling out a portion of the GHG warming), providing a fairly good match between the climate model simulations and the observations.

The climate models used by the IPCC needs a climate sensitivity of about 3 C because only in this way the chosen readiative forcing functions are able to reproduce the about 0.8 - 0.9 C warming since 1850.