Sentences with phrase «leading climate change models»

Not exact matches

Darin Kingston of d.light, whose profitable solar - powered LED lanterns simultaneously address poverty, education, air pollution / toxic fumes / health risks, energy savings, carbon footprint, and more Janine Benyus, biomimicry pioneer who finds models in the natural world for everything from extracting water from fog (as a desert beetle does) to construction materials (spider silk) to designing flood - resistant buildings by studying anthills in India's monsoon climate, and shows what's possible when you invite the planet to join your design thinking team Dean Cycon, whose coffee company has not only exclusively sold organic fairly traded gourmet coffee and cocoa beans since its founding in 1993, but has funded dozens of village - led community development projects in the lands where he sources his beans John Kremer, whose concept of exponential growth through «biological marketing,» just as a single kernel of corn grows into a plant bearing thousands of new kernels, could completely change your business strategy Amory Lovins of the Rocky Mountain Institute, who built a near - net - zero - energy luxury home back in 1983, and has developed a scientific, economically viable plan to get the entire economy off oil, coal, and nuclear and onto renewables — while keeping and even improving our high standard of living

Even if the near future doesn't unfold like the 2004 climate - gone - haywire film The Day After Tomorrow, scientists need to be able to produce accurate models of what abrupt change (more likely spanning hundreds or thousands or years, rather than days) would look like and why it might occur, explains Zhengyu Liu, lead author of the study and director of the University of Wisconsin — Madison's Center for Climate Reclimate - gone - haywire film The Day After Tomorrow, scientists need to be able to produce accurate models of what abrupt change (more likely spanning hundreds or thousands or years, rather than days) would look like and why it might occur, explains Zhengyu Liu, lead author of the study and director of the University of Wisconsin — Madison's Center for Climate ReClimate Research.

Future field experiments that can manipulate all three conditions at once will lead to better models of how long - term climate changes will affect ecosystems worldwide.

And by carefully measuring and modeling the resulting changes in atmospheric composition, scientists could improve their estimate of how sensitive Earth's climate is to CO2, said lead author Joyce Penner, a professor of atmospheric science at the University of Michigan whose work focuses on improving global climate models and their ability to model the interplay between clouds and aerosol particles.

«These experiments will enable us to further test and refine the underlying processes in the CORPSE model and should lead to improved predictions of the role of plant - soil interactions in global climate change,» Sulman said.

The recent slowdown in global warming has brought into question the reliability of climate model projections of future temperature change and has led to a vigorous debate over whether this slowdown is the result of naturally occurring, internal variability or forcing external to Earth's climate system.

The research, led by the University of Leeds and published today [12 June] in the journal FEMS Microbiology Ecology, will help improve climate change models that have previously neglected the role of microbes in darkening the Earth's surface.

They used computer models to predict not only how climate change would lead to agricultural changes, but how these agricultural changes would impact water quality.

Lead author William Taylor, a postdoctoral research fellow at the Max Planck Institute for the Science of Human History, says that this model «enables us for the first time to link horse use with other important cultural developments in ancient Mongolia and eastern Eurasia, and evaluate the role of climate and environmental change in the local origins of horse riding.»

«Formation of coastal sea ice in North Pacific drives ocean circulation, climate: New understanding of changes in North Pacific ocean circulation over the past 1.2 million years could lead to better global climate models.»

Climate models do not predict an even warming of the whole planet: changes in wind patterns and ocean currents can change the way heat is distributed, leading to some parts warming much faster than average, while a few may cool, at least at first.

This fact may lead may limit the predictive capacity of the models bot more research is needed: «It remains to be shown how ignoring core parts of the industrial system influences the feasibility of certain scenarios to mitigate climate change.

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.

New understanding of changes in North Pacific ocean circulation over the past 1.2 million years could lead to better global climate models

«This work was a foundational reference case for the recently released RCP4.5 model scenario, one of four scenarios that will be used by modeling groups around the globe to make realistic projections of future climate change,» said Dr. Steven J. Smith, scientist at the Joint Global Change Research Institute, a partnership between PNNL and the University of Maryland, and lead research achange,» said Dr. Steven J. Smith, scientist at the Joint Global Change Research Institute, a partnership between PNNL and the University of Maryland, and lead research aChange Research Institute, a partnership between PNNL and the University of Maryland, and lead research author.

Abstract: Models investigating the effects of climate change and human - led land - use change on biodiversity have arrived at alarming conclusions, with the worst case scenarios suggesting extinction rates at such a level as to constitute a sixth mass extinction event in the earth's history.

The results could lead to better predictive models to inform future decisions about energy production and use, and a better understanding of changes in the climate.

A study published earlier this year and led by Prestemon used both climate models and projections of societal changes, like population growth and development, to look at how they might impact wildfire projections.

«The coupling of these two models is predicated on the assertion that climate change drives changes in extreme events, extreme events interact with human perception of risk to influence emissions behaviors and emissions behaviors then feed back into climate change, leading to a fully interacting model.»

Join Women @ Energy and Women @ NASA to hear from women role models leading the way in transformative science, innovation, cutting - edge research, and combating climate change.

Until now, models have predicted something for the future... but it was something that seemed very distant,» said Oltmanns, the lead scientist behind the research, which was published this week in Nature Climate Change.

Liz often speaks both regionally and nationally on collaboration building and the`School led - District wide» model of sustainable culture and climate change.

DR PETER COX: «2040 it could be four degrees warmer, the climate change could have led to big drying particularly in the Amazon Basin, that would make the forest unsustainable, we'd expect the forest to catch fire probably, turn into savannah and maybe ultimately even desert if it gets really really dry as our model suggests.»

For example, if you look at page 92 of the APS Climate Change Statement Review Workshop, http://www.aps.org/policy/statements/upload/climate-seminar-transcript.pdf, you will see this statement by Dr. William Collins, head of the Climate Sciences Department, and director of the Center at LBNL for Integrative Modeling of the Earth System (CLIMES) at the Lawrence Berkeley National laboratory (LBNL), as well as lead author on the Fourth and Fifth Assessment of the IPCC:

Well, because soon (as soon as December 2005) the leading authors of the Intergovernmental Panel on Climate Change (aka IPCC) Assessment Report # 4 (AR4) will have to decide what the current knowledge in climate state, modeling and climate projection estimates is, so as to include it in the next Climate Change (aka IPCC) Assessment Report # 4 (AR4) will have to decide what the current knowledge in climate state, modeling and climate projection estimates is, so as to include it in the next climate state, modeling and climate projection estimates is, so as to include it in the next climate projection estimates is, so as to include it in the next report.

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.

Meanwhile, modeling results in this area don't lead to definitive conclusions; as the recent WMO statement puts it, «Although recent climate model simulations project a decrease or no change in global tropical cyclone numbers in a warmer climate there is low confidence in this projection.

It is not that the polar regions are amplifying the warming «going on» at lower latitudes, it is that any warming going on AT THE POLES is amplified through inherent positive feedback processes AT THE POLES, and specifically this is primarily the ice - albedo positive feedback process whereby more open water leads to more warming leads to more open water, etc. *** «Climate model simulations have shown that ice albedo feedbacks associated with variations in snow and sea - ice coverage are a key factor in positive feedback mechanisms which amplify climate change at high northern latitudes...Climate model simulations have shown that ice albedo feedbacks associated with variations in snow and sea - ice coverage are a key factor in positive feedback mechanisms which amplify climate change at high northern latitudes...climate change at high northern latitudes...»

«I've been calling this a golden age for high - resolution climate modeling because these supercomputers are enabling us to do gee - whiz science in a way we haven't been able to do before,» said Wehner, who was also a lead author for the recent Fifth Assessment Report of the Intergovernmental Panel on Climate Change climate modeling because these supercomputers are enabling us to do gee - whiz science in a way we haven't been able to do before,» said Wehner, who was also a lead author for the recent Fifth Assessment Report of the Intergovernmental Panel on Climate Change Climate Change (IPCC).

The first - of - its - kind modeling study was led by Dr Marco Springmann from the Oxford Martin Programme on the Future of Food, and assessed the impact of climate change on diet composition and bodyweight.

What's lost in a lot of the discussion about human - caused climate change is not that the sum of human activities is leading to some warming of the earth's temperature, but that the observed rate of warming (both at the earth's surface and throughout the lower atmosphere) is considerably less than has been anticipated by the collection of climate models upon whose projections climate alarm (i.e., justification for strict restrictions on the use of fossil fuels) is built.

Psychologists studying climate communication make two additional (and related) points about why the warming - snow link is going to be exceedingly difficult for much of the public to accept: 1) people's confirmation biases lead them to pay skewed attention to weather events, in such a way as to confirm their preexisting beliefs about climate change (see p. 4 of this report); 2) people have mental models of «global warming» that tend to rule out wintry impacts.

US Department of Energy - funded research to lead to improvements in climate modeling and climate change predictions

On the question of hurricanes, the theoretical arguments that more energy and water vapor in the atmosphere should lead to stronger storms are really sound (after all, storm intensity increases going from pole toward equator), but determining precisely how human influences (so including GHGs [greenhouse gases] and aerosols, and land cover change) should be changing hurricanes in a system where there are natural external (solar and volcanoes) and internal (e.g., ENSO, NAO [El Nino - Southern Oscillation, North Atlantic Oscillation]-RRB- influences is quite problematic — our climate models are just not good enough yet to carry out the types of sensitivity tests that have been done using limited area hurricane models run for relatively short times.

Lead author Carmody McCalley, postdoctoral research associate at the University of New Hampshire, explained that the question has always been whether these microbes matter for models of GHG emissions to the overall role of thawing wetlands in climate change.

A new study comparing the composite output of 22 leading global climate models with actual climate data finds that the models do an unsatisfactory job of mimicking climate change in key portions of the atmosphere.

In his talk, «Statistical Emulation of Streamflow Projections: Application to CMIP3 and CMIP5 Climate Change Projections,» PCIC Lead of Hydrological Impacts, Markus Schnorbus, explored whether the streamflow projections based on a 23 - member hydrological ensemble are representative of the full range of uncertainty in streamflow projections from all of the models from the third phase of the Coupled Model Intercomparison Project.

I have not trusted the climate change models for a long time and the ongoing hiatus in warming leads me to trust them even less.

Once such an IPCC exposition of the assumptions, complications and uncertainties of climate models was constructed and made public, it would immediately have to lead, in my view, to more questions from the informed public such as what does calculating a mean global temperature change mean to individuals who have to deal with local conditions and not a global average and what are the assumptions, complications and uncertainties that the models contain when it comes to determining the detrimental and beneficial effects of a «global» warming in localized areas of the globe.

Moreover, the CIFOR - led study of which this model is a part has found that the rush to produce biofuel has resulted in high levels of deforestation in many tropical countries, and therefore can have significant impacts on global climate change and local ecosystem services.

On p601, they state that «Models continue to have significant limitations, such as in their representation of clouds, which lead to uncertainties in the magnitude and timing, as well as regional details, of predicted climate change.»

The institute's early study of the Earth and planetary atmospheres using data collected by satellites, space probes, and space probes eventually led to GISS becoming a leading center of atmospheric modeling and of climate change.

In general, these studies have shown that different ways of creating scenarios from the same source (a global - scale climate model) can lead to substantial differences in the estimated effect of climate change, but that hydrological model uncertainty may be smaller than errors in the modelling procedure or differences in climate scenarios (Jha et al., 2004; Arnell, 2005; Wilby, 2005; Kay et al., 2006a, b).

* * * The evidence to support the theory of anthropogenic, or human - caused, climate change has been mounting since the mid-1950s, when atmospheric models predicted that growing levels of CO2 in the atmosphere would add to the natural «greenhouse effect» and lead to warming.

«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree of predictability of these two modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»

It is our belief that «theory leads experiment» on climate change because all well - accepted atmospheric models predict a temperature rise.

These data have been produced using the leading climate research models, whose outputs have informed important scientific assessments of climate change and its impacts, such as the most recent Intergovernmental Panel on Climate Change (IPCC) assessment reports and the National Climate Asseclimate research models, whose outputs have informed important scientific assessments of climate change and its impacts, such as the most recent Intergovernmental Panel on Climate Change (IPCC) assessment reports and the National Climate Asseclimate change and its impacts, such as the most recent Intergovernmental Panel on Climate Change (IPCC) assessment reports and the National Climate Asseschange and its impacts, such as the most recent Intergovernmental Panel on Climate Change (IPCC) assessment reports and the National Climate AsseClimate Change (IPCC) assessment reports and the National Climate AssesChange (IPCC) assessment reports and the National Climate AsseClimate Assessment.

But this barrier may be ephemeral: simulations suggest that under some models, climate change may breach it within this century, rapidly melting the ice shelf base [Hellmer et al., 2012] and eventually leading to its collapse.

So a process - oriented analysis of low - cloud variations in the present climate has the potential to lead to improvements in the representation of the low - cloud response to climate changes in models.

Co-author Gerrit Lohmann, who leads the Wegener Institute's palaeoclimate dynamics group, said: «Using the simulations performed with our climate model, we were able to demonstrate that the climate system can respond to small changes with abrupt climate swings.