Sentences with phrase «model all climate science»

Naomi Oreskes once held doubts about modeling climate science, the main source of alarmism about climate change.

Australian climate scientist, and modeller, Dr David Evans publishes the first post of several, on his new paper which falsifies the current model all climate science is based on:

Not exact matches

I confess that I have become somewhat blasé about the range of exciting — I think revolutionary is probably more accurate — technologies that we are rolling out today: our work in genomics and its translation into varieties that are reaching poor farmers today; our innovative integration of long — term and multilocation trials with crop models and modern IT and communications technology to reach farmers in ways we never even imagined five years ago; our vision to create a C4 rice and see to it that Golden Rice reaches poor and hungry children; maintaining productivity gains in the face of dynamic pests and pathogens; understanding the nature of the rice grain and what makes for good quality; our many efforts to change the way rice is grown to meet the challenges of changing rural economies, changing societies, and a changing climate; and, our extraordinary array of partnerships that has placed us at the forefront of the CGIAR change process through the Global Rice Science Partnership.

«This document presents science - driven predictions, based on sophisticated climate - change models, regarding how we think bird distributions in Massachusetts might change during the next 30 years,» said Jon Atwood, Mass Audubon Director of Bird Conservation and a report author

If the effects of climate change weren't included in the model, the trends toward bigger seasonal variations in CO2 at Arctic latitudes disappeared, researchers report online today in Science.

Murali Haran, a professor in the department of statistics at Penn State University; Won Chang, an assistant professor in the department of mathematical sciences at the University of Cincinnati; Klaus Keller, a professor in the department of geosciences and director of sustainable climate risk management at Penn State University; Rob Nicholas, a research associate at Earth and Environmental Systems Institute at Penn State University; and David Pollard, a senior scientist at Earth and Environmental Systems Institute at Penn State University detail how parameters and initial values drive an ice sheet model, whose output describes the behavior of the ice sheet through time.

It is true that atmospheric science is complex and climate models are imperfect.

The Blue Brain Project Scientists rely on computer models to understand the toughest concepts in science: the origin of the universe, the behavior of atoms, and the future climate of the planet.

Whether it can be relied upon by government and if the details of collecting and processing it are disclosed «and documented with enough detail» to reliably capture new science for weather and climate models will be important.

While large - scale climate research models offer a systems view of what the transport sector, for example, could contribute to climate protection in comparison to the energy sector, the study presented in Science, however, examines transport - related issues within the sector by using more recent and more specific data on how people commute and travel.

Modeling future climate scenarios is a notoriously tricky science, involving wide margins of uncertainty, myriad variables and a profusion of data.

The study was partially funded by Columbia University Research Initiatives for Science and Engineering (RISE) award; the Office of Naval Research; NOAA's Climate Program Office's Modeling, Analysis, Predictions and Projections; Willis Research Network; and the National Science Foundation.

Within the DOE Office of Science, the biological and environmental research program, which studies climate modeling among other things, faces the steepest cut — 43 percent, a drop from $ 612 million to $ 349 million.

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.

«The result is not a surprise, but if you look at the global climate models that have been used to analyze what the planet looked like 20,000 years ago — the same models used to predict global warming in the future — they are doing, on average, a very good job reproducing how cold it was in Antarctica,» said first author Kurt Cuffey, a glaciologist at the University of California, Berkeley, and professor of geography and of earth and planetary sciences.

In fact, the climate science literature is replete with papers that call out the challenges of accurately accounting for clouds in models.

In a recent study, Mathias Trachsel (Dept. of Biology, University of Bergen) and Atle Nesje (Dept. of Earth Science, University of Bergen and Uni Research Climate) used simple statistical models to assess and quantify the relative importance of summer temperature and winter precipitation for annual mass balances of eight Scandinavian glaciers.

It was only possible through the participation of thousands of members of the public in the work's biggest ever climate modelling exercise: they offered up spare processing capacity on their home computers to run the calculations via the Climate Prediction citizen science climate modelling proclimate modelling exercise: they offered up spare processing capacity on their home computers to run the calculations via the Climate Prediction citizen science climate modelling proClimate Prediction citizen science climate modelling proclimate modelling programme.

«Climate science is a «data - heavy» discipline with many intellectually interesting questions that can benefit from computational modeling and prediction,» said Dovrolis, a professor in the School of Computer Science, «Cross-disciplinary collaborations are challenging at first — every discipline has its own language, preferred approach and research culture — but they can be quite rewarding at the end.science is a «data - heavy» discipline with many intellectually interesting questions that can benefit from computational modeling and prediction,» said Dovrolis, a professor in the School of Computer Science, «Cross-disciplinary collaborations are challenging at first — every discipline has its own language, preferred approach and research culture — but they can be quite rewarding at the end.Science, «Cross-disciplinary collaborations are challenging at first — every discipline has its own language, preferred approach and research culture — but they can be quite rewarding at the end.»

For the next fiscal year, the Administration today requested only $ 68 million in DOE funding for exascale science, which includes everything from hardware development, novel mathematical methods, and scientific applications, such as climate modeling software programs.

According to Yousuke Sato of the RIKEN Advanced Institute for Computational Science (AICS), «this research shows that powerful supercomputers, by performing more fine - grained simulations, can help us to model weather and climate patterns in a more realistic way.

The findings, published in the May 16 issue of Science, closely match observations in the atmosphere and can help make climate prediction models more accurate.

The coalition of states can't replace federal support for science, including maintaining satellites and building better climate models, said Richard Moss, the committee's chairman and a researcher at Columbia University's Earth Institute.

«When we look forward several decades, climate models predict such profound loss of Arctic sea ice that there's little doubt this will negatively affect polar bears throughout much of their range, because of their critical dependence on sea ice,» said Kristin Laidre, a researcher at the University of Washington's Polar Science Center in Seattle and co-author of a study on projections of the global polar bear population.

Elisabetta Pierazzo of the Planetary Science Institute in Tucson, Arizona, and colleagues used a global climate model to study how water vapour and sea salt thrown up from an impact will affect ozone levels for years after the event.

Vincent Saba, a research fishery biologist at NOAA's Northeast Fisheries Science Center (NEFSC), and his study co-authors used annual nest counts from Florida and a time - series of climate data in turtle - nesting population models.

«When we included projected Antarctic wind shifts in a detailed global ocean model, we found water up to 4 °C warmer than current temperatures rose up to meet the base of the Antarctic ice shelves,» said lead author Dr Paul Spence from the ARC Centre of Excellence for Climate System Science (ARCCSS).

Dr Dudok de Wit's team at the International Space Science Institute in Bern, and the Coupled Model Intercomparison Project, have been using the datasets identified through the network to describe the Sun's influence on climate from 1850 up to the present day, as well as a forecast up to the year 2300.

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.

The massive projects needed now — such as devising a model of climate change detailed enough to be truly predictive or batteries efficient enough to compete with gasoline — can not wait or depend on chancy funding, he believes.He added that a strong national commitment to goal - centered basic science could help solve other important problems by drawing America's talented young people into scientific work and providing them with better opportunities for aspiring researchers to build careers with a realistic chance of making both a significant scientific contribution and a decent living.

For Tom Osborne of Reading University, senior research scientist at the National Centre for Atmospheric Science who models the global impacts of climate change on agriculture, farmers have no choice; they have to adapt where they can and change where they can't.

Gary Geernaert, director of DOE's Climate and Environmental Sciences Division, states that «it is critical that federal investments to advance climate science for use by both public and private stakeholders must place significant priority on incorporating uncertainty quantification methodologies into modeling framClimate and Environmental Sciences Division, states that «it is critical that federal investments to advance climate science for use by both public and private stakeholders must place significant priority on incorporating uncertainty quantification methodologies into modeling framclimate science for use by both public and private stakeholders must place significant priority on incorporating uncertainty quantification methodologies into modeling frameworks.

The method is based on Approximate Bayesian Computation (ABC), which is a machine learning method that has been developed to infer very complex models from observations, with uses in climate sciences and epidemiology among others.

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.»

Subsequently cited in 54 papers, the Science study showed that even using the lower end of 23 climate models suggested that in the tropics at the end of the century, «the hottest seasons on record will represent the future norm in many locations,» with the devastating impacts on wheat and rice yields.

Through an ensemble modeling approach, we were able to show that without anthropogenic effects, the droughts in the southwestern United States would have been less severe,» says co-author Axel Timmermann, Director of the newly founded IBS Center for Climate Physics, within the Institute for Basics Science (IBS), and Distinguished Professor at Pusan National University in South Korea.

Under the Decadal and Regional Climate Prediction Using Earth System Models (EaSM) program, the National Science Foundation and the U.S. Departments of Agriculture and Energy will kick in a total of $ 50 million a year for 5 years.

Reporting in the Nov. 14 issue of the journal Science, University of California, Berkeley, climate scientist David Romps and his colleagues look at predictions of precipitation and cloud buoyancy in 11 different climate models and conclude that their combined effect will generate more frequent electrical discharges to the ground.

A Columbia Engineering team led by Pierre Gentine, professor of earth and environmental engineering, and Adam Sobel, professor of applied physics and applied mathematics and of earth and environmental sciences, has developed a new approach, opposite to climate models, to correct climate model inaccuracies using a high - resolution atmospheric model that more precisely resolves clouds and convection (precipitation) and parameterizes the feedback between convection and atmospheric circulation.

Now the National Science Foundation (NSF), along with the U.S. Energy and Agriculture departments are teaming up to financially support the development of new computer models aimed at revealing the anticipated effects of climate change at the regional level.

«The model we developed and applied couples biospheric feedbacks from oceans, atmosphere, and land with human activities, such as fossil fuel emissions, agriculture, and land use, which eliminates important sources of uncertainty from projected climate outcomes,» said Thornton, leader of the Terrestrial Systems Modeling group in ORNL's Environmental Sciences Division and deputy director of ORNL's Climate Change Science Insclimate outcomes,» said Thornton, leader of the Terrestrial Systems Modeling group in ORNL's Environmental Sciences Division and deputy director of ORNL's Climate Change Science InsClimate Change Science Institute.

Current climate models do not take into account glacial flow and therefore underestimate the impact of glacial melt and the calving of ice flows, the researchers argue in a paper detailing the findings in today's Science.

Fifteen months ago, academic climate scientists expressed worries that a new climate model sponsored by the U.S. Department of Energy (DOE) was going to harm existing modeling efforts, siphoning off talent and funding when federally funded science is short on both.

Is this «science information deficit model» then the reason for our failure to accept climate change?

This increase would support efforts by DOE's National Nuclear Security Administration, which manages the nuclear weapons stockpile, and the Office of Science to develop fast, cutting - edge exascale computers, paving the way for advanced climate modeling and biomedical applications.

In fact, Salmon doesn't think that the National Science Foundation (NSF) should be funding her research on tea as a model system for understanding how a warming climate is putting stress on specialty crops and the impact of those changes on farmers.

For my research in climate science, I use a satellite to measure physical and optical properties of clouds with the view to further improve weather and climate models.

«If you haven't had proximity to these glaciers, if you haven't thought about where water comes from, it would be easy to understate or underestimate the implications of glacial ice loss in a state that has predominantly a semi-desert climate and certainly by contemporary climate models is going to be pretty significantly impacted by climate change,» said Jacki Klancher, a professor of environmental science at Central Wyoming College.

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

Titanic international projects that are just kicking off, including the National Science Foundation - funded Ocean Observatories Initiative and Southern Ocean Carbon and Climate Observations and Modeling project, promise to pile on reams of new data and knowledge in the coming years — not all of it expected to be postcard pretty.