Sentences with phrase «ran climate model simulations»

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

«Many climate scientists, like myself, study climate change by poring over large data sets and running climate model simulations.

Not exact matches

Not only was Prisle successful, but running simulations with her model made a big difference in climate predictions.

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.

Scientists are checking advanced climate simulation models against existing data to find that they're running right on track to better predict drastic climate change

Each model had run simulations that included anthropogenic climate influences like human - released greenhouse gases and aerosols as well as simulations run without those human influences.

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.

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

Extreme - weather researcher Daniel Swain and associate professor Noah Diffenbaugh ran simulations using climate models.

Running future simulations in climate models with present - day emissions, Cai and his colleagues find 73 per cent increase in extreme La Niña events in the twenty - first century when compared to the twentieth.

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

The possibility of there existing a plausible model with such a high sensitivity is of such overarching importance, I would have liked to have seen one such model chosen, and to have available all of the standard runs being provided for the IPCC Fourth Assessment by the major modeling centers, in the same format used by those models, so that the climate community could judge for itself the plausibility of this model's climate simulation.

Well, it is a very ambitions and painstaking project which has managed to bring together all the aforementioned modeling groups which run specified model experiments with very similar forcings and then performed coordinated diagnostic analyses to evaluate these model simulations and determine the uncertainty in the future climate projections in their models.

As a check of this, one could comparing the climate model simulations of temperature change using the historical forcing runs with the temperature change produced by the same models under CO2 - only forcing runs * at times of equivalent total forcing change *.

Second, the absolute value of the global mean temperature in a free - running coupled climate model is an emergent property of the simulation.

From five climate model runs of the 21st century the authors derive 500 years worth of simulations.

P.S., apropos «Running multiple simulations with a climate model is always going to give results that have some inherent scatter...»

Chris E Forest June 26, 2012 at 10:41 am Reply In working with large climate model datasets, data archiving was not feasible given resources available in 2003 when simulations were run to produce the data in Forest et al. (2006).

Forest et al. 2006 compares observations of multiple surface, upper air and deep - ocean temperature changes with simulations thereof by the MIT 2D climate model run at many climate parameter settings.

In working with large climate model datasets, data archiving was not feasible given resources available in 2003 when simulations were run to produce the data in Forest et al. (2006).

In recent years one of the most important methods of estimating probability distributions for key properties of the climate system has been comparison of observations with multiple model simulations, run at varying settings for climate parameters.

A recent meta - analysis published in the journal Nature Climate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropClimate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropclimate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropclimate change and adaptation on crop yield.

Using a detailed computer simulation of global economic activity and climate processes, they ran the model 400 times with possible tweaks.

As shown in Figure 2, the IPCC FAR ran simulations using models with climate sensitivities (the total amount of global surface warming in response to a doubling of atmospheric CO2, including amplifying and dampening feedbacks) correspoding to 1.5 °C (low), 2.5 °C (best), and 4.5 °C (high).

Changes in tracer distribution in the troposphere and stratosphere are calculated from a control and doubled CO2 climate simulation run with the Goddard Institute for Space Studies Global Climate Middle Atmosphereclimate simulation run with the Goddard Institute for Space Studies Global Climate Middle AtmosphereClimate Middle Atmosphere Model.

We perform simulations of future Earth climate by running our baseline model for various (increasing) values of the solar constant until radiative balance is achieved.

Not long ago, it would have taken several years to run a high - resolution simulation on a global climate model.

They ran an ensemble of simulations with a climate model of intermediate complexity to evaluate the causes of past climate changes.

Metzger et al. (NRL Stennis Space Center), 5.0 (3.4 - 6.0), Modeling The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with July 1, 2015 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

As can be seen in Figure 2, the observational data (in black) falls within the range of climate model simulations that are run using all forcings (shaded red), but lies outside the range of model simulations run using only natural forcings (dashed blue lines).

Due to the non-deterministic nature of the climate system, an ensemble7 of simulations run with the same climate model yields acontinue

One of the consequences is that if you run multiple computer simulations of earth's climate, then average the results, the simulated ENSO events get scattered throughout time and end up being averaged out, so that the model average ends up looking like it doesn't have a strong ENSO impact even though the individual model runs do.

Climate model simulations, when compared with 21st century observations seem to be running too hot, giving creedence to the lower observation - based sensitivity values.

The IPCC FAR ran simulations using models with climate sensitivities (the total amount of global surface warming in response to a doubling of atmospheric CO2, including amplifying and dampening feedbacks) of 1.5 °C (low), 2.5 °C (best), and 4.5 °C (high) for doubled CO2 (Figure 1).

NRL - ocn - ice, 5.2 (4.3 - 6.0), Modeling (ice - ocean) The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with June 1, 2016 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

The second and more interesting (to me) observation is that the simulated temperature changes are punctuated by multiple short term peaks and dips, differing from one model run to another, although the climate variables mentioned above were omitted from the simulations — there were no changes in model input in solar or aerosol forcing, and ENSO was largely eliminated by smoothing.

A comparison of tropical temperature trends with model predictions We examine tropospheric temperature trends of 67 runs from 22 «Climate of the 20th Century» model simulations and try to reconcile them with the best available updated observations (in the tropics during the satellite era).

I examined simulations from 34 different climate models, each run with projected increases in greenhouse gas concentrations.

So, the guy who ran a climate model offered the room of skeptics free use... all they had to do was propose a set of simulations to test their ideas...

The climateprediction.net Seasonal Attribution Project used computing time donated by the general public to run state - of - the - art high - resolution model simulations of the world's climate.

Furthermore, the statistical methodology that is used to estimate the model can successfully recover the values for the transient climate response from temperature simulations generated by the coupled atmosphere - ocean general circulation models run for CMIP (26).

He notes that simulations run with a low - resolution climate model can give completely contrary results from a high - resolution version of the same model.

What appears to have happened, based on global climate model simulations run by Shakun et al., is not all that different from our previous explanation of the supposed CO2 lag - just a bit more nuanced.

Since then, literally thousands of papers have made this case very carefully, tens to hundreds of thousands of climate simulations have been run, model errors have been corrected and resolution improved, hundreds of problems in the science have been corrected and claims that humans aren't the source have all been addressed.

There are three main novelties this time around that I think are noteworthy: the use of more interactive Earth System models, a focus on initiallised decadal predictions, and the inclusion of key paleo - climate simulations as part of the suite of runs.

The climate models run on this supercomputer will «magically» produce 3.25 C of warming by 2100, verifying the results of all other climate model simulations run before.

Each individual climate model run has a random representation of these natural ocean cycles, so for every 15 - year period, some of those simulations will have accurately represented the actual El Niño conditions just by chance.