Sentences with phrase «climate models mix»

Not exact matches

Plugging such weather data into a regional climate model revealed that the impacts were likely due to the increased mixing of the near - surface and higher - atmosphere air thanks to the wind turbines.

The research suggests that scientists modeling global climate processes may need to add the contribution of such swimmers to the mix.

Isaac Held, a National Oceanic and Atmospheric Administration climate scientist, said he agreed with the researchers about the «the importance of getting the ice - liquid ratio in mixed - phase clouds right,» but he doesn't agree that global climate models generally underestimate climate sensitivity.

Because these waves are involved in ocean mixing and thus the transfer of heat, understanding them is crucial to global climate modeling, says Tom Peacock, a researcher at the Massachusetts Institute of Technology.

Mixing artificial intelligence with climate science helps researchers to identify previously unknown atmospheric processes and rank climate models

This is one of the best examples of why aerosol mixing state is so important for modeling the effect of aerosols on climate.

If you're growing impatient for model - bashing, no fear; there's a whole chapter for you (Chapter 4: «Climate Models are Not Reliable»), which offers up the usual mix of straw man descriptions of how climate models actually work, and red herrings about supposedly missing feedbacks and proClimate Models are Not Reliable»), which offers up the usual mix of straw man descriptions of how climate models actually work, and red herrings about supposedly missing feedbacks and procModels are Not Reliable»), which offers up the usual mix of straw man descriptions of how climate models actually work, and red herrings about supposedly missing feedbacks and proclimate models actually work, and red herrings about supposedly missing feedbacks and procmodels actually work, and red herrings about supposedly missing feedbacks and processes.

«Representation of Arctic Mixed - Phase Clouds and the Wegener - Bergeron - Findeisen Process in Climate Models - Perspectives from a Cloud - Resolving Study.»

What's Next: With this new knowledge of the complex interactions between dynamic and microphysical processes in mixed - phase clouds, researchers can improve the representation of these clouds in climate models.

Climate model projections show a warmer Montana in the future, with mixed changes in precipitation, more extreme events, and mixed certainty on upcoming drought.

They are certain that the result of the mixing is missing in current climate models.

Climate modeling groups have also been experimenting with ways to use the predictability of deeper ocean circulations (where internal variations can persist for up to a decade), but results have been mixed at best.

IIRC, the authors were perturbed by the fact that small changes in the input - value mix of the model produced large differences in the rate of climate change.

Understanding the processes driving mixing is vital for ocean and climate modeling.

Right now, climate models have to approximate many physical processes that turn out to be very important; air flowing over mountain ranges, for example, or small eddies mixing water in the ocean.

That's clear from recent peer - reviewed reports such as Marvel et al 2016: Implications for climate sensitivity from the response to individual forcings, and Sherwood et al. 2014: Spread in model climate sensitivity traced to atmospheric convective mixing.

«This necessitates the inclusion of biogenic mixing sources in ocean circulation and global climate models.»

The research provides insight for climate models which until now have lacked the detailed information on ocean mixing....

While impressive, this may be due to an error in the forcings combined with compensating errors in the climate sensitivity (2.7 C for a doubling of CO2 in this model) or the mixing of heat into the deep ocean.

IIRC, the authors were perturbed by the fact that small changes in the input - value mix of the model produced large differences in the rate of climate change.

«Seasonal Cycle Experiments on Climate Sensitivity Due to a Doubling of CO2 with an Atmospheric General Circulation Model Coupled to a Simple Mixed Layer Ocean Model.»

About 1980ish, some old ideas like the greenhouse effect were brought out of mothballs and re-examined with new tools and techniques; simultaneously several researchers and theoreticians released their notes, published, or otherwise got together and there was a surprising consilience and not a small amount of mixing with old school hippy ecologism on some of the topics that became the roots of Climate Change science (before it was called Global Warming); innovations in mathematics were also applied to climate thought; supercomputers (though «disappointing» on weather forecasting) allowed demonstration of plausibility of runaway climate effects, comparison of scales of effects, and the possibility of climate models combined with a good understanding of the limits of predictive power of weather Climate Change science (before it was called Global Warming); innovations in mathematics were also applied to climate thought; supercomputers (though «disappointing» on weather forecasting) allowed demonstration of plausibility of runaway climate effects, comparison of scales of effects, and the possibility of climate models combined with a good understanding of the limits of predictive power of weather climate thought; supercomputers (though «disappointing» on weather forecasting) allowed demonstration of plausibility of runaway climate effects, comparison of scales of effects, and the possibility of climate models combined with a good understanding of the limits of predictive power of weather climate effects, comparison of scales of effects, and the possibility of climate models combined with a good understanding of the limits of predictive power of weather climate models combined with a good understanding of the limits of predictive power of weather models.

«Hansen now believes he has an answer: All the climate models, compared to the Argo data and a tracer study soon to be released by several NASA peers, exaggerate how efficiently the ocean mixes heat into its recesses.

«Spread in Model Climate Sensitivity Traced to Atmospheric Convective Mixing.»

Here for example is the climate model simulation of the mixing currents that overturn the upper layers of the ocean across the Pacific.

Whether ocean circulation models... neither explicitly accounting for the energy input into the system nor providing for spatial variability in the mixing, have any physical relevance under changed climate conditions is at issue.»

-LSB-...] Study paper Spread in model climate sensitivity traced to atmospheric convective mixing Climate Sensitivity in the Anthropocene «Worst» of Climate Predictions Are the Most Likely: New -Lclimate sensitivity traced to atmospheric convective mixing Climate Sensitivity in the Anthropocene «Worst» of Climate Predictions Are the Most Likely: New -LClimate Sensitivity in the Anthropocene «Worst» of Climate Predictions Are the Most Likely: New -LClimate Predictions Are the Most Likely: New -LSB-...]

Many of the processes governing the role of salinity in the modulation of upper - ocean mixing in both tropical and high - latitude regions are neither well understood nor adequately represented in climate models.

SSPs should generally not contain information that would typically be outcomes of such models, such as the precise mix of technologies used in the energy sector, specific emissions or land use outcomes, climate change and its implications for agriculture.

When a climate model uses only the upper 50 to 100 meters as the total ocean battery, I believe that is mathurbation, since the charge time of the whole battery is roughly 1700 years plus or minus a millennium or two depending on high latitude mixing.

Modelling assumptions controlling the cloud water phase (liquid, ice or mixed) are known to be critical for the prediction of climate sensitivity.

Due to computational constraints, the equilibrium climate sensitivity in a climate model is usually estimated by running an atmospheric general circulation model coupled to a mixed - layer ocean model, because equilibrium climate sensitivity is largely determined by atmospheric processes.

Such a calculation, with a billion or so cook fires every night, wildfires, deforestation fires and others in the mix, «would be devilishly complicated for a climate model,» Bowman recalled the thinking.

When the convective processes of the atmosphere remove enough water vapor from the oceans to drop sea levels and build polar ice caps, as has happened many times before, the top 35 meters of the oceans where climate models assume the only thermal mixing occurs, must heat up cold ocean water that comes from depths below the original 35 meter depth, removing vast more amounts of heat from the earth's surface and atmosphere.

This study shows that the coupled climate models have mixed results in reproducing the spatial and temporal characteristics of major observed Pacific climate patterns of variability (e.g., the Pacific Decadal Oscillation (PDO) and El Niño).

The emission data were converted to concentration data, using a selected simple carbon - cycle climate model for well - mixed greenhouse gases and an atmospheric chemistry model for reactive short - lived substances.

His climate models show global warming alone converting 30 per cent of the Amazon into degraded shrub land and mixed woodland by 2100.

The MIT model permits one to systematically vary the model's climate sensitivity (by varying the strength of the cloud feedback) and rate of mixing of heat into the deep ocean and determine how the goodness - of - fit with observations depends on these factors.

Aerosol collections on the NOAA Ron Brown for subsequent processing of INP activation temperature spectra and composition analyses, add a valuable measurement to the ACAPEX and related CalWater2 (NOAA) studies for use in parameterizing and modeling the impacts of marine boundary layer and other aerosols on climate and radiation via aerosol - indirect effects on mixed phase clouds.

There is a wide spread among the models for the thermal expansion commitment at constant composition due partly to climate sensitivity, and partly to differences in the parametrization of vertical mixing affecting ocean heat uptake (e.g., Weaver and Wiebe, 1999).

I was rather surprised that the first piece of data I looked at — the WM - GHG (well - mixed greenhouse gas) global forcing for the average of the MIROC, MRI and NorESM climate models, in Table S2 — is given as 1.91 W / m ², when the three individual model values obviously don't average that.

[~ 17 model years](Motivation: Variation in the climate response across models will be a function of (a) different climate sensitivity in the GCMs, (b) different impact of aerosols on climate (due to location with respect to clouds, water uptake, natural aerosols, mixing, etc), and (c) different 3D constituent fields from the composition models.

For example, Spencer has previously used a mixed ocean layer depth of 700 meters, because although this is physically unjustifiable, it allowed his model to fit the data with a low climate sensitivity.

From the abstract: «Here we show that differences in the simulated strength of convective mixing between the lower and middle tropical troposphere explain about half of the variance in climate sensitivity estimated by 43 climate models.

Bjornsson, H., L.A. Mysak, and G.A. Schmidt, 1997: Mixed boundary conditions versus coupling with an energy - moisture balance model for a zonally averaged ocean climate model.

Climate and Earth system models are used to understand potential changes in the AMOC, including potential feedbacks in the system, although the representation of unresolved physics (such as the parameterization of ocean mixing) could potentially be of concern in long, centennial simulations.

See Spread in model climate sensitivity traced to atmospheric convective mixing (doi: 10.1038 / nature12829).

Mixed portfolio of climate information (data including historical and paleo; models — both dynamical and empirical; natural climate variability)

The two - day FAMOS workshop will include sessions on 2017 sea ice highlights and sea ice / ocean predictions, reports of working groups conducting collaborative projects, large - scale arctic climate modeling (ice - ocean, regional coupled, global coupled), small (eddies) and very small (mixing) processes and their representation and / or parameterization in models, and new hypotheses, data sets, intriguing findings, proposals for new experiments and plans for 2018 FAMOS special volume of publications.

As to the ethics of climate disaster researchers, and the credibility of their models, data and reports, ClimateGate emails reveal that researchers used various «tricks» to mix datasets and «hide the decline» in average global temperatures since 1998; colluded to keep skeptical scientific papers out of peer - reviewed journals; deleted potentially damaging or incriminating emails; and engaged in other practices designed to advance manmade climate change alarms.