Sentences with phrase «test of climate models»

The true test of climate models, hence of the CO2 hypothesis, will be in how well they predict data not yet seen.
We'll likely revisit this topic, as it is a long - standing critique from climate skeptics and an important test of climate models.
In fact, the true test of climate models is paleoclimate reconstruction, in which they have been rather successful.
Have there been any «classic» tests of climate models that would falsify the hypothesis of large warming over the long term?
There are limited observational data to start with, insufficient testing of climate model simulations of extremes, and (so far) limited assessment of model projections.
A realistic test of a climate model would be to initialize it to conditions around 1850 - 1880 (which would mean making multiple runs with random starting data) and see if the average model outputs follow the measured trend from 1900 onwards.
Now I want just to point out that this paper is an example of, how difficult it is to have good empirical tests of climate models.

Not exact matches

CA Department of Food and Agriculture awards CSWA a $ 450,000 grant for a four - year project to drive climate protection and innovation through field testing a carbon offset and greenhouse gas emissions model for California wine grape growers (2010)
The researchers were able to test their hypothesis that stronger winds were driving the ocean heat uptake by putting the observations of wind behavior into climate models.
Instead, this effect could be used to test climate models, he said, to check if their physics is good enough to reproduce how the pull of the moon eventually leads to less rain.
«They are using this information to test state - of - the - art climate models under conditions of high atmospheric carbon dioxide concentrations, similar to those expected by the end of this century.»
«These experiments will enable us to further test and refine the underlying processes in the CORPSE model and should lead to improved predictions of the role of plant - soil interactions in global climate change,» Sulman said.
«Using data mining to make sense of climate change: New methodology puts emphasis on data to test climate models
At the Environmental Change Institute in Oxford, researchers Nathalie Schaller and Friederike Otto analysed results from almost 40,000 climate model calculations to test the impact of climate change on Britain's winter rains.
To test his idea, Salzmann used a computer model of the Earth system to find out how the climate would react to a doubling of the atmospheric carbon - dioxide concentration.
Bringing together observed and simulated measurements on ocean temperatures, atmospheric pressure, water soil and wildfire occurrences, the researchers have a powerful tool in their hands, which they are willing to test in other regions of the world: «Using the same climate model configuration, we will also study the soil water and fire risk predictability in other parts of our world, such as the Mediterranean, Australia or parts of Asia,» concludes Timmermann.
A team of scientists from Vanderbilt and Stanford universities have created the first comprehensive map of the topsy - turvy climate of the period and are using it to test and improve the global climate models that have been developed to predict how precipitation patterns will change in the future.
Instrumental measurements are also too short to test the ability of state - of - the - art climate models to predict which regions of the hemisphere will get drier, or wetter, with global warming,» says Charpentier Ljungqvist.
«The new work improves our understanding of history, allowing better model tests and allowing better assessment of how the ice responded to climate changes in the past,» Alley said, «and this will help in making better and more - reliable projections for the future.»
The models used for testing the impact of climate change combine the risks of avalanche with local climate data.
The challenge is to use this evidence to test and improve the predictive skill of climate models
Instead, Collins says that AI algorithms are best suited to help test the next generation of climate models.
These tests can be conducted with the help of computer models that depict future demographic and economic development and that examine the interplay between industry and the climate and other essential natural systems.
In order to understand how El Niño responds to various climate forces, researchers test model predictions of past El Niño changes against actual records of past ENSO activity.
Researchers at Chalmers University of Technology have studied new ways of measuring sea level that could become important tools for testing climate models and for investigating how the sea level along the world's coasts is affected by climate change.
No climate model has ever been properly tested, which is what «validation» means, and their «projections» are nothing more than the opinions of «experts» with a conflict of interest, because they are paid to produce the models.
Does this mean that the hypothesis of nuclear winter does not survive testing by modern climate models?
Tom appears challenged by the idea of building global climate models based on atmospheric physics and doing years of testing those models against actual data.
So, the key thing in evaluating climate sensitivity is to use the LGM as a test of how well the models are doing clouds, using the LGM, and then see what happens in the same model when you project to the future.
Climate models are being subjected to more comprehensive tests, including, for example, evaluations of forecasts on time scales from days to a year.
Indeed, Gore could have used the ice core data to make an additional and stronger point, which is that these data provide a nice independent test of climate sensitivity, which gives a result in excellent agreement with results from models.
One critical limitation is a paucity of historical tests of modeled human responses to climate variability and climate change.
The drug and alcohol testing industry depends on this favorable legislative and regulatory climate, because the industry was effectively created in 1986 by the Drug Free Workplace Act, and the Dept. of Transportation rules serve as a model for most testing programs.
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All of that stuff I listed off above does come at a price, but we have to keep in mind that our particular test car is a Vsport Premium model that packs a bunch of other features like 20 - way adjustable front seats, a reconfigurable gauge cluster, your choice of either real carbon fiber or wood cabin accents, color configurable head - up display, aluminum pedals, adaptive cruise control, front and rear automatic braking with collision preparation, a giant sunroof, tri-zone climate controls, heated rear seats and fancier wheels.
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Then there are the tests of climate changes themselves: how does a model respond to the addition of aerosols in the stratosphere such as was seen in the Mt Pinatubo «natural experiment»?
While the various methods can be tested with climate model simulations, it would arguably be more satisfying if inferences could be obtained in a manner which bypasses the difficult issue of calibration entirely, and also eliminates any need to establish the precise seasonality of information reflected by the various available proxy records.
Climate models have passed a broad range of validation tests — e.g. a 30 - year warming trend, response to perturbations like ENSO and volcanic eruptions... On the other hand, in a statistical model, parameters of the model are determined by a fit to the model.
For climate models, there is a much larger range of tests available and there isn't necessarily an analogue for «persistence» in all cases.
Eventually, we will get a better idea of how wide the spread of climate model parameterisations can be while still passing the stringent valdiation tests that state - of - the - art models must pass.
Understanding past climate changes are of course also very interesting — they provide test cases for climate models and can have profound implications for the history of human society.
Climate modelers are very thankful for the existence of the seasonal cycle, for providing such a beautiful data set with which we can test a models quantitative response to a well - defined change in external forcing.
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).
A yet more stringent test for realistic climate sensitivity is the application of a model to a climate with different CO2 levels.
We use the global cooling and drying of the atmosphere that was observed after the eruption of Mount Pinatubo to test model predictions of the climate feedback from water vapor.
As a physics student very much used to operating on the «make prediction; test prediction» model of determining the reliability of a theory, I appreciate thorough discussion of realistic expectations for these climate models.
Let's look at something a little later, something done in preperation for AR4 — plans testing the incorporation of the carbon cycle into climate models.
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