Sentences with phrase «modeling the climate consequences»

Finally, here's a brief video discussion of geo - engineering on The Wall Street Journal Web site, featuring Dale Jamieson and Alan Robock, an atmospheric scientist at Rutgers who's been modeling the climate consequences of human atmospheric meddling — from global warming to nuclear winter — for decades:

Not exact matches

The consequence: either the analysed climate archives supply inaccurate temperature signals, or the tested models underestimate the regional climate fluctuations in Earth's recent history.

This has consequences for climate models, since more loss of carbon dioxide and mineral nitrogen would have a direct bearing on the soil's contribution to greenhouse gases and eutrophication.

The results could have consequences not only for future climate models, but may also impact current policies on land use intended to promote fungi.

James Hansen, director of NASA's Goddard Institute for Space Studies in New York City and a vociferous advocate for lowering global greenhouse gas emissions, was chosen for his work modeling Earth's climate, predicting global warming, and warning the world about the consequences.

In climate science, for example, where we don't need an elaborate climate model to understand the basic physics and chemistry of greenhouse gases, so at some level the fact that increased CO2 warms the planet is a consequence of very basic physics and chemistry.

Consequences of global sea level rise could be even scarier than the worst - case scenarios predicted by the dominant climate models

Although the scientific credibility of the film drew criticism from climate scientists, the scenario of an abrupt collapse of the AMOC, as a consequence of anthropogenic greenhouse warming, was never assessed with a state - of - the - art climate model.

As a consequence, the model results were important during the preparatory negotiations leading up to the Paris Agreement that came into effect in November 2016 with the intention of mitigating climate change.

The consequences of global sea level rise could be even scarier than the worst - case scenarios predicted by the dominant climate models, which don't fully account for the fast breakup of ice sheets and glaciers, NASA scientists said today (Aug. 26) at a press briefing.

But it turns out that rain also triggers the release of a mist of particles from wet soils into the air, a finding with consequences of its own for how scientists model our planet's climate and future.

«In the case of California's drought, the climate models do not indicate that such extremely low precipitation is an expected consequence of human influence on the climate system,» said

PNNL researchers built highly detailed regional models and tailored the scenarios to reveal climate changes and consequences for the state.

Such models focus on changes in the distribution or extent of species» «climate space», but the broad range of climate - change - related stresses that affect population ecology and physiology and that may have consequences at ecosystem and community levels [12] are not fully reflected.

Members of the German research network BIOACID (Biological Impacts of Ocean Acidification) are developing a model that links ecosystem changes triggered by ocean acidification and climate change with their economic and societal consequences.

Robock, Alan, Luke Oman, and Georgiy L. Stenchikov, 2007: Nuclear winter revisited with a modern climate model and current nuclear arsenals: Still catastrophic consequences.

IPCC climate models do not capture Arctic sea ice drift acceleration: Consequences in terms of projected sea ice thinning and decline Rampal et al., Journal of Geophysical Research, 2011

Study of Earth's climate extremes through history — when climate was extremely cold or hot or changed quickly — may lead to improved climate models that could enable scientists to predict the magnitude and consequences of climate change.

The paper uses evidence and modeling to explain how the sun - blocking impact from a 50 - year stretch of unusually intense eruptions of four tropical volcanoes caused sufficient cooling to produce a long - lasting shift in the generation and migration of Arctic Ocean sea ice, with substantial consequences for the Northern Hemisphere climate that lasted centuries and left a deep imprint on European history.

The lines of evidence and analysis supporting the mainstream position on climate change are diverse and robust — embracing a huge body of direct measurements by a variety of methods in a wealth of locations on the Earth's surface and from space, solid understanding of the basic physics governing how energy flow in the atmosphere interacts with greenhouse gases, insights derived from the reconstruction of causes and consequences of millions of years of natural climatic variations, and the results of computer models that are increasingly capable of reproducing the main features of Earth's climate with and without human influences.

By now, enough of the hard work of measuring and modeling has been done to provide high scientific confidence that while we are and will affect the north Atlantic with climate change, and this will have consequences, it is very unlikely that there will be a huge and abrupt change in the coming decades.

To predict the consequences of carbon emissions, we must therefore rely on climate models built from our best understanding of how the climate system works.

Though the models they used were imperfect, and incapable of factoring in all potential influences, «the current models do suggest some grave consequences, and mankind would do well to proceed with caution where possible manipulation of the world's climate is at stake.»

It's a difficult question to answer, though, because climate models «are not in agreement on what should happen in the Pacific as a consequence of global warming,» Hartmann said.

The consequence of these problems is that there is no objective way of ranking the climate models from best to worst and every climate model should be treated as equally plausible.

Natural aerosols such as dust and sea salt also play an important role in climate and their emissions and interactions differed significantly among the models, with consequences to the role of short - lived pollutants.

This week, Friends of the Earth Netherlands / Milieudefensie demanded that Shell align its business model with the Paris Climate Agreement or face legal consequences.

Peter Cox is the originator / author of the Triffid dynamic global vegetation model which was used to predict dieback of the Amazonian rain forest by 2050 and as a consequence a strong positive climate - carbon cycle feedback (i.e., an acceleration of global warming) with a resultant increase in global mean surface temperature by 8 deg.

«It could mean our higher limit of warming is now even higher, depending on the model, which means serious consequences for us in terms of climate change.

«Uncertainty» about whether or not something (very costly), which we do (in the «uncertain» attempt to change our climate from an «uncertain» model - generated threat) will have «uncertain» unintended negative consequences, which could be much more severe than the «uncertain» threat we are attempting to mitigate against in the first place, seems to ba a reasonable justification for NOT doing this mitigating action.

Improving the scientific understanding of all climate feedbacks is critical to reducing the uncertainty in modeling the consequences of doubling the CO2 - equivalent concentration.

My bottom line is that while the global climate models, when run with added CO2 and other greenhouse gases, show that this is a warming effect, they are inadequate tools to assess the consequences of these human climate forcings on the regional and local scale.

This exploration of model based — synthetic — future weather is a powerful method to assess the consequences of possible changes in regional climate variability for the local water management.

In particular, I hope that impugning models as a means of rejecting serious concerns about the future consequences of anthropogenic CO2 emissions will be seen as misguided — based on the false assumption that without models, the edifice of climate prediction will collapse.

And to make this realistic pictures, a simple scaling is often not adequate to depict all consequences of an altered background climate, and models are useful tools for this.

• FAO • Participatory and modelling study of consequences of climate and global change in agriculture and water — Manuel Pulido Velázquez (UPV)-- presentation pdf

The consequences of the latter are of great importance to climate change modelling, indicating that continuous differential equation dynamic models can not work.

Most global climate models affirm that higher levels of humidity are a consequence of a warmer world.

As a consequence, the most important factor for determining the cost of doing something about climate change is the one that is most difficult, and arguably impossible, to model.

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.

The models used in climate science are based not on extrapolated linear trends, but on expected consequences of all known physical forcings — which are not periodic.

I think one of the important issues is to be doing modelling of the climate system consequences of fully 1.5 C pathways and maybe even more than that.

CAS = Commission for Atmospheric Sciences CMDP = Climate Metrics and Diagnostic Panel CMIP = Coupled Model Intercomparison Project DAOS = Working Group on Data Assimilation and Observing Systems GASS = Global Atmospheric System Studies panel GEWEX = Global Energy and Water Cycle Experiment GLASS = Global Land - Atmosphere System Studies panel GOV = Global Ocean Data Assimilation Experiment (GODAE) Ocean View JWGFVR = Joint Working Group on Forecast Verification Research MJO - TF = Madden - Julian Oscillation Task Force PDEF = Working Group on Predictability, Dynamics and Ensemble Forecasting PPP = Polar Prediction Project QPF = Quantitative precipitation forecast S2S = Subseasonal to Seasonal Prediction Project SPARC = Stratospheric Processes and their Role in Climate TC = Tropical cyclone WCRP = World Climate Research Programme WCRP Grand Science Challenges • Climate Extremes • Clouds, Circulation and Climate Sensitivity • Melting Ice and Global Consequences • Regional Sea - Ice Change and Coastal Impacts • Water Availability WCRP JSC = Joint Scientific Committee WGCM = Working Group on Coupled Modelling WGSIP = Working Group on Subseasonal to Interdecadal Prediction WWRP = World Weather Research Programme YOPP = Year of Polar Prediction

Unfortunately, climate models are the only tools scientists use for projecting the consequences of rising GHGs.

As a consequence, we recommend that unless / until the collection of climate models can be demonstrated to accurately capture observed characteristics of known climate changes, policymakers should avoid basing any decisions upon projections made from them.

The primary consequence of considering this alternative paradigm is to narrow the climate modelling uncertainty.

This technical document uses a combination of climate and hydrological models to assess the possible consequences of future global warming on water resources in the Pungwe catchment up until 2050.

UN Climate Change News, 5 May 2018 - The first - ever training workshop under the United Nations Framework Convention on Climate Change on modeling tools to analyze potential economic consequences of emission reduction measures was held in Bonn from 30 April 2018 to 1 May 2018.

Well... I guess this is just because when you pretend urging policy makers making decisions about climate evolution, with heavy political and economic consequences, those decisions being fully based onto climate models» outputs, then you have to prove that those climate models are able to faithfully simulate «real world climate».

Climate models predict that as a consequence of anthropogenic global warming, the planet should warm more at night than during the day.