Sentences with phrase «take on climate modeling»

Not exact matches

It would be like trying to model 1000 years of global climate change on a TRS - 80 computer when it takes a modern 16,000 processor supercomputer a week to process the data.

It's going to be one of the major topics at a regional Climate Solutions Summit in Syracuse this weekend, as the city hopes to take the lead on an energy supply model that uses renewable energy.

The new study builds on this earlier research, extending the projections globally using a variety of climate models and taking into account future population growth.

«I take what the models tell us may happen to our climate at large scales and try to understand what impacts these changes could have on society.

Some climate change deniers have taken encouragement from the pause, saying they show warming predictions are flawed, but Mann, a co-author on the study, notes that «there have been various explanations for why [the slowdown is happening], none of which involve climate models being fundamentally wrong.»

For the study «Doubling of coastal erosion under rising sea level by mid-century in Hawaiʻi,» published this week in Natural Hazards, the research team developed a simple model to assess future erosion hazards under higher sea levels — taking into account historical changes of Hawaiʻi shorelines and the projected acceleration of sea level rise reported from the Intergovernmental Panel on Climate Change (IPCC).

«Most modeling studies that look at the impact of climate change on crop yield and the fate of agriculture don't take into account whether the water available for irrigation will change,» Monier says.

To model a world of ebbing and flowing burns, Krawchuk took historic fire data then mapped it forward using 16 models of changing climates from 2010 on, what the Intergovernmental Panel on Climate Change calls global climate modelsClimate Change calls global climate modelsclimate models (GCM).

If only modest action is taken to reign in greenhouse gas emissions, the model predicts that pikas will disappear from about 75 percent of sites by 2070 (51 to 88 percent, depending on the global climate model used).

Then they plugged that into simulations that took into account climate models and two different carbon emissions scenarios identified by the Intergovernmental Panel on Climate climate models and two different carbon emissions scenarios identified by the Intergovernmental Panel on Climate Climate Change.

«If China's CO2 trading program is perceived as a successful program, I think it could provide the other nations the confidence to adopt the emissions trading model and take on a climate commitment or a more stringent climate commitment.

Coastal sea ice formation takes place on relatively small scales, however, and is not captured well in global climate models, according to scientists at the University of California, Santa Cruz, who conducted the study.

«While laboratory studies of the effect of temperature on the physiology and behavior have provided significant insights into thermal ecology of ectotherms, the time is ripe to take this knowledge outside the lab to further develop climate change models,» he said.

For the study, Gentine and Lemordant took Earth system models with decoupled surface (vegetation physiology) and atmospheric (radiative) CO2 responses and used a multi-model statistical analysis from CMIP5, the most current set of coordinated climate model experiments set up as an international cooperation project for the International Panel on Climate climate model experiments set up as an international cooperation project for the International Panel on Climate Climate Change.

He took the average from two climate models (2ºC from Suki Manabe at GFDL, 4ºC from Jim Hansen at GISS) to get a mean of 3ºC, added half a degree on either side for the error and produced the canonical 1.5 - 4.5 ºC range which survived unscathed even up to the IPCC TAR (2001) report.

Of the many inane arguments that are made against taking action on climate change, perhaps the most fatuous is that the projections climate models offer about the future are too uncertain to justify taking steps that might inconvenience us in the present.

By taking a «close - in» view, the study revealed that the occurrence of clouds too small for climate models to detect individually can have a big impact on regional surface solar radiation and, therefore, on brightening or dimming.

Vision PNNL will take a leadership role in the incorporation of aerosols into climate models, through integrative research on atmospheric aerosol interactions and through development of innovative instrumentation and measurement techniques.

AmazonFACE is particularly interesting to me due to my involvement in modelling studies, which suggested the potential for very severe impacts of climate change on the Amazon forests, even with CO2 fertilisation taken into account.

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.

They took the amount of soot (based on geologic record) and put that into a modern climate model.

By Kenneth Richard «Consensus» Science Takes A Hit In 2017 During 2017, 485 scientific papers have been published that cast doubt on the position that anthropogenic CO2 emissions function as the climate's fundamental control knob... or that otherwise question the efficacy of climate models or the related «consensus» positions commonly endorsed by policymakers and mainstream media.

Response: < / b > von Storch et al purport to test statistical methods used to reconstruct past climate patterns from «noisy» proxy data by constructing false proxy records («pseudoproxy» records) based on adding noise to model gridbox temperature series taken from a climate simulation forced with estimated past radiative forcing changes.

The model results (which are based on driving various climate models with estimated solar, volcanic, and anthropogenic radiative forcing changes over this timeframe) are, by in large, remarkably consistent with the reconstructions, taking into account the statistical uncertainties.

For a good take on that, see Gavin's earlier post on climate modeling.

He took the average from two climate models (2ºC from Suki Manabe at GFDL, 4ºC from Jim Hansen at GISS) to get a mean of 3ºC, added half a degree on either side for the error and produced the canonical 1.5 - 4.5 ºC range which survived unscathed even up to the IPCC TAR (2001) report.

Based on physical modelling taking into account measured and astrophysically plausible variations in solar spectral luminosity, and on consistent physical models of the response of he climate system to solar forcing, you can't explain away the 20th / 21st net warming trend with solar effects.

A larger mystery than either missing carbon or the influence of clouds / water vapor on climate change models is why the physical and life science community and the (in theory) science - based climate change advocates have not taken the time to adequately consult the evidence or experts (albeit exceptions certainly do exist) on communication about environmental issues, risk, or environmental and health literacy.

... it is sometimes argued that the severity of model - projected global warming can be taken less seriously on the grounds that models fail to simulate the current climate sufficiently accurately.

eg pg xii To improve our predictive capability, we need: • to understand better the various climate - related processes, particularly those associated with clouds, oceans and the carbon cycle • to improve the systematic observation of climate - related variables on a global basis, and further investigate changes which took place in the past • to develop improved models of the Earth's climate system • to increase support for national and international climate research activities, especially in developing countries • to facilitate international exchange of climate data

von Storch et al purport to test statistical methods used to reconstruct past climate patterns from «noisy» proxy data by constructing false proxy records («pseudoproxy» records) based on adding noise to model gridbox temperature series taken from a climate simulation forced with estimated past radiative forcing changes.

Then there's Schmidt's presentation on climate modeling at this year's TED conference, which took place in Vancouver in February:

Trude Storelvmo of Yale University and her colleagues did not use climate models to find out the answer, but they based their calculations on temperature and solar radiation records taken from more than thousands of global measurement sites over the course of 46 years.

Benjamin Sulman − a biologist at Indiana University, but then of the Princeton University Environmental Institute in the US − and colleagues report in Nature Climate Change that they have developed a new computer model to examine what really happens, on a global scale, when plants colonise the soil and start taking in moisture and carbon from the atmosphere.

The default position being taken as the climate models are true seems to rest on the «it is just physics» as some commenters here are fond of saying (e.g., M. Tobis).

Julia Lehmann, from Roehampton University, said: «In reality, the effects of climate change on African apes may be much worse, as our model does not take into account possible anthropogenic effects, such as habitat destruction by humans and the hunting of apes for bushmeat.»

Of the many inane arguments that are made against taking action on climate change, perhaps the most fatuous is that the projections climate models offer about the future are too uncertain to justify taking steps that might inconvenience us in the present.

All climate models used in the reports of the Intergovernmental Panel on Climate Change (IPCC) take into account the feedback related to plants, which slows down climate change, but its strength has been difficult to esclimate models used in the reports of the Intergovernmental Panel on Climate Change (IPCC) take into account the feedback related to plants, which slows down climate change, but its strength has been difficult to esClimate Change (IPCC) take into account the feedback related to plants, which slows down climate change, but its strength has been difficult to esclimate change, but its strength has been difficult to estimate.

With all the talk this week about future climate — the global warming imagined by IPCC crystal ball models, that is — the focus for many is rightly on the gulf between predictions and observations that have taken place so far.

«Consensus» Science Takes A Hit In 2017 During 2017, 485 scientific papers have been published that cast doubt on the position that anthropogenic CO2 emissions function as the climate's fundamental control knob... or that otherwise question the efficacy of climate models or the related «consensus» positions commonly endorsed by policymakers and mainstream media.

It's important to understand the capabilities of the computer you're running climate models on, if for no other reason than to determine how long your submitted jobs will take to complete.

The society has officially taken a position many of us AMS members do not agree with... Instead of organizing meetings with free and open debates on the basic physics and the likelihood of AGW induced climate changes, the leaders of the society... have chosen to fully trust the climate models and deliberately avoid open debate and discussion... My interaction (over the years) with a broad segment of AMS members... have indicated that a majority of them do not agree that humans are the primary cause of global warming.»

Building on earlier work, the climate model examined by Meehl et al (2011) & (2013) demonstrated that hiatus decades (decades in the model with little or no surface warming) occurred when anomalous heat was being taken up by the deep ocean.

Based on this, the climate models go a lot further, taking everything else as positive feedback.

However, current forecast systems have limited ability on these timescales because models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface, as well as processes that can be difficult to represent realistically.

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

Lisa Nelson said on Diane Rehm: «To be clear: ALEC has no policy on climate change, and does not take positions without underlying model policy.»

The take - home message — that climate models were on the verge of failure (basically the opposite of the Post headline)-- is self - evident in Figure 1, adapted from our presentation.

As the interpretation of infinity in economic climate models is essentially a debate about how to deal with the threat of extinction, Mr Weitzman's argument depends heavily on a judgement about the value of life... A lack of reliable data exacerbates the profound methodological and philosophical difficulties faced by climate change economists... The United Nations conference in Paris this December offers a chance to take appropriate steps to protect future generations from this risk... http://www.economist.com/blogs/freeexchange/2015/07/climate-change (MOST COMMENTING ARE NOT AT ALL IMPRESSED)

Here are my climate change predictions bases on my own model (which I won't share with anybody because they might either try and take the credit for it or try and find something wrong with it) and on no data at all beyond vague memories of weather I have experienced and what I remember reading.