Sentences with phrase «of climate model runs»

One thing claimed is that the long run projections of the climate model runs can't be trusted because the ensemble does not do that great a job of predicting today from recent history of observations.

Instead, Emanuel's study is based on thousands of climate model runs to find out the odds a storm will bring the amount of rainfall Hurricane Harvey did when it made landfall in late August 2017.

In the process, Spencer and Braswell excluded the three of the climate model runs which best matched the observational data, and also cherrypicked the data set furthest from the model runs (HadCRUT)(Figure 1).

Examining the output of climate models run under increases in human emissions of greenhouse gas and aerosols, Troy Masters noted a robust relationship between the modeled rate of heat uptake in the global oceans and the modeled climate sensitivity.

Not exact matches

Scientists will run a model of the storm but adjust for climate change — derived changes in CO2.

You are saying, the model says that we could run the risk at two degrees of climate change and these are reasons why we might do that, or you could run it at 1 % and these are the political implications.

Gavin Schmidt, a climate scientist and modeler at the NASA Goddard Institute for Space Studies, said this sort of research is useful for modelers, who can take these results and see whether they show up when they run their models.

When scientists use climate models for attribution studies, they first run simulations with estimates of only «natural» climate influences over the past 100 years, such as changes in solar output and major volcanic eruptions.

No time to adapt In terms of adaptation, the rate of climate change might be more important than how much the climate changes, said Alan Robock, a climate scientist at Rutgers University who ran some of the models for the study.

It was only possible through the participation of thousands of members of the public in the work's biggest ever climate modelling exercise: they offered up spare processing capacity on their home computers to run the calculations via the Climate Prediction citizen science climate modelling proclimate modelling exercise: they offered up spare processing capacity on their home computers to run the calculations via the Climate Prediction citizen science climate modelling proClimate Prediction citizen science climate modelling proclimate modelling programme.

Using bird distribution data spanning the breeding seasons between 1990 and 2009, scientists ran the numbers through six A1B climate models, which use middle - of - the - road predictions.

They are running two sets of climate models, one with and one without the effects of humanity's greenhouse gas emissions, to see whether drought in east Africa becomes more likely in a warming world.

«We're trying to understand how what we're doing to the Earth's atmosphere and oceans will play out in the future,» says Bette Otto - Bliesner, who runs a full - complexity climate model — and its 1.5 million lines of code — through a supercomputer named Yellowstone at the National Center for Atmospheric Research in Boulder.

The research team drew information from huge stream - temperature and biological databases contributed by over 100 agencies and a USGS - run regional climate model to describe warming trends throughout 222,000 kilometers (138,000 miles) of streams in the northwestern United States.

The scientists generated the enormous dataset by running NCAR's Weather Research and Forecasting model at an extremely high resolution of about 4 kilometers (about 2.5 miles), across the entire contiguous U.S. Typical climate models only resolve to about 100 kilometers (about 62 miles)-- not nearly the detail available in the new dataset.

The study's team took an inventory of the wastes at Camp Century and ran climate model simulations.

«When you think from a climate point of view, you're not having carbon uptake across all this landscape for many decades when there's very little plant cover,» study co-author Steve Running, a University of Montana professor who models ecosystem functions, said.

The scientists then ran two separate climate models to learn how the rate of global warming might change if the 16 measures were deployed, with and without carbon dioxide controls.

For assessing the global ocean - carbon sink, McKinley and her co-authors from the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory, NCAR and the University of Colorado Boulder used the model to establish a long - running climate scenario from historical data.

Steven Amstrup of Polar Bears International in Bozeman, Montana, and colleagues ran a climate model for 2000 to 2100.

To estimate how much the sensitivity varies, Gary Russell of the NASA Goddard Institute for Space Studies in New York and colleagues ran a climate model repeatedly.

Most important, it relies on the first published results from the latest generation of so - called Earth System climate models, complex programs that run on supercomputers and seek to simulate the planet's oceans, land, ice, and atmosphere.

The Oxford group runs its climate models thousands of times.

To account for the influence of chaos, climate scientists run the models repeatedly, with slightly different starting conditions.

Brian Ryan, Ian Watterson and Jenni Evans of the CSIRO Division of Atmospheric Research ran a computer model of climate in a world where the atmosphere's carbon dioxide content has doubled.

His study assesses the implications of regional changes in climate predicted by computer models run by Britain's Meteorological Office and NASA's Goddard Institute of Space Studies (GISS) in the US.

Using the Discover supercomputer operated by the NASA Center for Climate Simulation at Goddard, the SMACK - driven Beta Pictoris model ran for 11 days and tracked the evolution of 100,000 superparticles over the lifetime of the disk.

To get a sense for how this probability, or risk of such a storm, will change in the future, he performed the same analysis, this time embedding the hurricane model within six global climate models, and running each model from the years 2081 to 2100, under a future scenario in which the world's climate changes as a result of unmitigated growth of greenhouse gas emissions.

As the model runs progressed, those tiny differences grew and expanded, producing a set of climate simulations useful for studying questions about variability and change.

This approach is a natural fit for climate science: a single run of a high - resolution climate model can produce a petabyte of data, and the archive of climate data maintained by the UK Met Office, the national weather service, now holds about 45 petabytes of information — and adds 0.085 petabytes a day.

The USC researchers applied a regional climate model to California, and Berkeley Lab ran simulations of building energy consumption.

In examining the ultimate transdisciplinary issue, humanity's evolving two - way relationship with the climate, I've had the rare privilege of studying the whole picture, from the climate models running on supercomputers in Boulder in 1985 to the burning rain forests of the western Amazon in 1989 to the shifting sea ice around the North Pole in 2003 to the contentious climate treaty talks in one city after another.

I can read any peer - reviewed article I like on modern climate models, but until I go through much of the process of building, running, validation, discussing with colleagues how they solved particular wrinkles etc of some models, I am unlikely to fully comprehend climate modelling as a skilled craft.

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.

A very recent study by Saba et al. (2015) specifically analyzed sea surface temperatures off the US east coast in observations and a suite of global warming runs with climate models.

Also just a few months ago Millar et al. 2017 had to admit that the climate models indeed had been running much too hot and that the 1.5 °C target can be reached as well with a tripling of CO2 emissions.

This model looks at the historical data of a climate variable (e.g., temperature) and has a best - fit line running through these data.

In the end, Archibald concludes that the warming from the next 40 ppm of CO2 rise (never mind the rest of it) will only be 0.04 degrees C. Archibald's low - ball estimate of climate change comes not from the modtran model my server ran for him, but from his own low - ball value of the climate sensitivity.

There is still uncertainty about many aspects of the dynamics of climate change, and this will only be addressed by investment in climate models and the top - of - the - range supercomputers needed to run them.

So GISS climate modeler Michael Way took a topographic map of Venus based on findings from another mission, filled in the lowlands with an ocean of water, and ran the global climate model to simulate the climate of ancient days on Venus.

As soon as there's a new supercomputer available anywhere in the world, there's a climate model waiting to be run on it because we know that many of our physical processes right now are not being directly represented.

To determine effects of both natural climate forcings and the human contribution, the researchers examined global climate model runs from the latest set of models, known as CMIP5, produced for the IPCC Fifth Assessment Report.

Wehner pointed out that while humans can (and do) perform well in identifying and tracking extreme weather events in real time, they simply can not keep up when climate models run two to five orders of magnitude faster.

The statistics of the weather make short term climate prediction very difficult — particularly for climate models that are not run with any kind of initialization for observations — this has been said over and over.

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However, the general circulation models are, at present, timeconsuming and expensive to run, and, despite the known shortcomings of the one - dimensional models, most available predictions of climate change have been made using the simpler models.

The climate models as described here won't produce glacial / interglacial cycles if run for a long time, and that is because they treat the atmospheric content of trace IR - absorbing gases (CO2, methane and N2O) as external forcings.

ClimatePrediction.Net has a climate model that runs as a screensaver in a coordinated set of simulations.

In models run with the GISS forcing data, the «natural + anthropogenic» temperature evolution matches observations very well for a climate sensitivity of 0.75 °C / W / m ², which agrees with the value derived from palaeoclimate data.