Sentences with phrase «at climate model output»

Not exact matches

Murali Haran, a professor in the department of statistics at Penn State University; Won Chang, an assistant professor in the department of mathematical sciences at the University of Cincinnati; Klaus Keller, a professor in the department of geosciences and director of sustainable climate risk management at Penn State University; Rob Nicholas, a research associate at Earth and Environmental Systems Institute at Penn State University; and David Pollard, a senior scientist at Earth and Environmental Systems Institute at Penn State University detail how parameters and initial values drive an ice sheet model, whose output describes the behavior of the ice sheet through time.

The study uses a model of China's economy and energy output, called C - GEM, developed by scholars at the Tsinghua - MIT China Energy and Climate Project.

The researchers looked at a total of 34 different global climate model outputs, encompassing different degrees of atmospheric sensitivity to greenhouse gases and different levels of human emissions of greenhouse gases into the atmosphere.

The climate model output itself is already publicly available at the CMIP5 website (also linked at that page).

To determine the temperature of different portions of the atmosphere, Santer and his colleagues sampled the output of global climate models at specific areas of the atmosphere where temperature is currently measured by satellites.

I assume the programmer of a model can adjust parameters and / or code which then will at some point will produce an output which can be interpreted as adjusted climate sensitivity.

The study, which used the output from upgraded models used for this new round of IPCC reports, was conducted by Kerry Emanuel, a tropical climate specialist at the Massachusetts Institute of Technology in Cambridge, Mass..

Unfortunately, the figure also confirms that the spatial resolution of theoutput from the GCMs used in the Mediterranean study is too coarse for constructing detailed regional scenarios.To develop more detailed regional scenarios, modelers can combine the GCM results with output from statistical models.3 This is done by constructing a statistical model to explain the observed temperature or precipitation at a meteorological station in terms of a range of regionally - averaged climate variables.

More often, models have been tested by hindcasting — they are forced with a known change starting at a past known climate state, and asked whether they can accurately project the output (e.g., a temperature change resulting from a change in CO2, solar forcing, etc.)?

At the same time, the report indicates that recent observations of the climate — as distinct from the output of complex climate models — are consistent with «the lower part of the likely range.»

The arguments put forward are that climate models, which produce output at a wide range of spatial and temporal scales, but it is claimed that the only become skillful at global scale with 30 - year temporal resolution.

We compare the output of various climate models to temperature and precipitation observations at 55 points around the globe.

In contrast, the reliability and precision of climate models are a big confusing Rorschach test, where whoever looks at their output sees «good» results or «sloppy» results, as their personality and world view dictate.

Part 2 tomorrow, «Why the world will not agree to pricing carbon», evaluates the output from the most widely cited and accepted climate economics model and shows that at realistically likely participation rates, carbon pricing would be economically damaging for all this century.

Surely after decades of satellite measurements, countless field experiments, and numerous finescale modeling studies that have repeatedly highlighted basic deficiencies in the ability of comprehensive climate models to represent processes contributing to atmospheric aerosol forcing, it is time to give up on the fantasy that somehow their output can be accepted at face value.»

But complex models of that sort can easily produce more than 100 prognostic and diagnostic climate variable outputs, at each of around a million grid points, for each model day, and almost all of these are averages which need to be downscaled to get useful information at point scale.

Moreover, the availability of the output from climate models and the advisability of using climate model results at particular scales, from the point of view of the climate modellers, ultimately determines what scales can and should be used.

At present, we maintain a rack full of Linux servers at the University of Victoria which host hundreds of terabytes of high - resolution spatio - temporal climate data and model output and hundreds of millions of meteorological observationAt present, we maintain a rack full of Linux servers at the University of Victoria which host hundreds of terabytes of high - resolution spatio - temporal climate data and model output and hundreds of millions of meteorological observationat the University of Victoria which host hundreds of terabytes of high - resolution spatio - temporal climate data and model output and hundreds of millions of meteorological observations.

But you start running those scenarios through the climate models and what you realize very quickly when you look at the output is that those modest changes in precipitation really pale in significance compared to the impact of temperature.

So I do not think that ensemble outputs of climate models would perform better at any local scale than at the global scale.

Fair enough, but looking at the cluster of results being so consistent and consistently wrong, they are either making huge mistakes about what influences the climate, or huge misallocation of forcing effects, or huge simplifications that prevent the model output from occasionally reproducing reality.

At present, we maintain a rack full of Linux servers at the University of Victoria which host hundreds of terabytes of high - resolution spatio - temporal climate data and model outpuAt present, we maintain a rack full of Linux servers at the University of Victoria which host hundreds of terabytes of high - resolution spatio - temporal climate data and model outpuat the University of Victoria which host hundreds of terabytes of high - resolution spatio - temporal climate data and model output.

Climate change was assessed by means of two Long Ashton Research Station - Weather Generator (LARS - WG) weather generators and all outputs from the available general circulation models in the Model for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local sModel for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local smodel has been used for projections at the local scale.

Forget flawed consensus climate theory and forget flawed consensus climate model output and just look at the actual data.

All we are interested in doing is modelling the climate as a simple input / output control block, and these can be modelled by looking at their response to step changes in their input.

As a partner of the Gauss - Alliance (GA), on 21st June, DKRZ employeesgave talks on the scalability of climate models for the example of HD (CP) 2 and on the improvement of in - and output at tth GA booth DKRZ A-1414.

Their aim at this stage was to reconcile model output with the recent climate record.

For a much more detailed discussion of a sceptical scientist's view of the validity of using model output as the basis for policing making in climate science, take a look at Dr Roy Spencer's explanation of how these models work and why he thinks they are flawed:

Finally, there's consensus that we can not look at climate forecasts — in particular, probabilistic forecasts — the same way we view weather predictions, and none of us would sell climate - model output, either at face value or after statistical analysis, as a reliable representation of the complete range of possible futures.

It certainly must be included in the model, along with atmosphere and ocean convection and many other factors, but the output is a representation of the climate response at a given time.

New rule: When declaring that climate models are misleading in a high profile paper, maybe looking at some model output first would be a good idea.

The incumbent will have access to available resources at PCIC and through our collaborators at the Canadian Centre for Climate Modelling and Analysis (CCCma), including the AR5 climate model output and seasonal hind cast prClimate Modelling and Analysis (CCCma), including the AR5 climate model output and seasonal hind cast prclimate model output and seasonal hind cast projects.

So it then occurred to me that if you are comparing the output from a climate model with actual measures at a grid level there was a risk that both datasets would suffer from spatial autocorrelation, and this should be tested for before using standard statistics as validation of the model output.