Sentences with phrase «improve climate models by»

Other crowdsourced projects include labeling aerial photos of Mongolia in a quest to find Genghis Khan's tomb and improving climate models by poring over World War I ship logs for weather information.

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

True believers in the dominant model tell us that the solution of our problems is to reduce taxes on corporations and the rich, reduce government services to the poor and middle class, improve the climate for business by reducing work place and environmental protections and minimum wage requirements, privatizing public services, and facilitating the investment of capital overseas.

Regardless of what climate models find, investigating these long - distance links in weather could also pay off by improving risk prediction and forecasts.

One group will use the data to improve a climate prediction model by incorporating extreme ice events.

By improving the understanding of how much radiation CO2 absorbs, uncertainties in modelling climate change will be reduced and more accurate predictions can be made about how much Earth is likely to warm over the next few decades.

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 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.

«A cloud system - resolved model can reduce one of the greatest uncertainties in climate models, by improving the way we treat clouds,» Wehner said.

Through the Advanced Scientific Computing Research Leadership Computing Challenge program, Thornton's team was awarded 85 million compute hours to improve the Accelerated Climate Modeling for Energy (ACME) effort, a project sponsored by Earth System Modeling program within DOE's Office of Biological and Environmental Research.

This work, which will be used in future publications by the IPCC (Intergovernmental Panel on Climate Change), will help develop improved models.

Such offices shall engage in cooperative research, development, and demonstration projects with the academic community, State Climate Offices, Regional Climate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory ComClimate Offices, Regional Climate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory ComClimate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Comclimate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Comclimate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Comclimate variability and change, and any other needed research identified by the Under Secretary or the Advisory Committee.

By providing new data on how CO2 cycles through land and ocean plants, HIPPO will allow researchers to improve the accuracy of their climate models and reduce that uncertainty, Stephens said.

Sally, who was nominated by Dr. Beat Schmid, Associate Director, Atmospheric Sciences and Global Change Division, was honored for her exceptional contribution in the field of atmospheric science, particularly in her efforts to improve understanding of the radiative effect of clouds and aerosols on the Earth's atmosphere and their representation in climate models.

A study led by Stefan Rahmstorf concluded «many vastly improved models have been developed by a number of climate research centers around the world.

These measures of climate turnover substantially improve model fit, indicating that the occurrence of widespread ephemeral deep lakes is a pulsed system influenced both by regional and global changes.

Wan's Pauling postdoctoral research proposal targets decreasing the uncertainty in climate predictions by improving the way that model components are coupled in global climate models.

Hosted by Leora Wolf - Prusan, Ed.D. (School Climate & Student Support Specialist at WestEd) and Lara Kain (Senior Director of Transform Schools at Los Angeles Education Partnership), this webinar covers the foundation of what a trauma - informed instructional model means, the competencies that are most critical for all teachers to know, and how school leaders can best support their staff in leveraging this powerful model to improve outcome for all kids.

In a European COST - action initiative named «VALUE», spearheaded by Douglas Maraun, the intention is to include statisticians for improved climate modelling.

Given that models have been improving in their ability to model processes, I personally find it difficult to believe that, at least in terms of a Bayesian analysis, the models themselves aren't doing better in terms of their ability to identify climate sensitivity by applying first principles to our climate system.

Just as a hypothetical example: If climate scientist will tell me that recent pause in global warming is due to the effect of an inactive sun (which is the reality as reported by following) http://www.spaceweather.com and that they will go back and improve their models to account for this, then I would be more inclined to believe their other claims... Instead the IPCC doubles down on their predictions and claim the future effects will be worst than they originally thought?

The 2nd Pan-GASS meeting sponsored by the ARC Centre of Excellence for Climate System Science is focused on «Understanding and Modelling Atmospheric Processes» (UMAP) and aims to bring together NWP and climate scientists, observationalists and modellers to discuss the key issues of atmospheric science and to coordinate efforts to improve weather and climate Climate System Science is focused on «Understanding and Modelling Atmospheric Processes» (UMAP) and aims to bring together NWP and climate scientists, observationalists and modellers to discuss the key issues of atmospheric science and to coordinate efforts to improve weather and climate climate scientists, observationalists and modellers to discuss the key issues of atmospheric science and to coordinate efforts to improve weather and climate climate models.

Global warming's crystal ball is clearing as climate models improve, and scientists now predict that some regions will see a month's less rain and snow by 2100.

There are some source of predictability that are still not fully resolved (including those dealing with improving climate models, but also related to unexplored initial conditions or driving conditions), and a great benefit of these predictability studies is that they mimic the practice of weather prediction by confronting models with observations at the relevant time and spatial scales, leading to the necessary inspiration for this model improvement.

Such offices shall engage in cooperative research, development, and demonstration projects with the academic community, State Climate Offices, Regional Climate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory ComClimate Offices, Regional Climate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory ComClimate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Comclimate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Comclimate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Comclimate variability and change, and any other needed research identified by the Under Secretary or the Advisory Committee.

These activities can be grouped under the following areas: improve our knowledge of Earth's past and present climate variability and change; improve our understanding of natural and human forces of climate change; improve our capability to model and predict future conditions and impacts; assess the Nation's vulnerability to current and anticipated impacts of climate change; and improve the Nation's ability to respond to climate change by providing climate information and decision support tools that are useful to policy makers and the general public.»

The Australia - focused report — the first update of the agencies» Natural Resource Management report since 2007 — builds on improved modelling to project how the climate for Australia and its major population centres is likely to differ by 2030 and 2090.

Comparisons between these reconstructions and the output of Earth system models provide evaluation opportunities to improve our understanding of climate forcings on time scales that are not adequately represented by the instrumental record.

There are mathematical fatal flaws in all the models that can not be overcome even if supercomputers improve by an order of magnitude, and if Rob Ellisons nonlinear dynamic chaos concerns can be overcome by enough ensemble runs to discern their main climate strange attractors.

While the climate issue is still poorly understood by the general public, we all need to promote the benefits of a real transition towards a sustainable and renewable system model: job creation, restoring democracy, community power - decentralisation of energy systems which are now mostly in the hands of big corporations, energy sovereignty, improved air quality and health, a better quality of life...

Interesting point Tony, my research prior to about 2004 was physical process studies motivated by improving climate models (combination of small scale observations, theory, modeling).

In climate science, we could add that if we had data from well designed measurements in the past, we would also use them, but, unfortunately it is only is the past few decades that a few such measurements are available, driven in major part by improved theoretical models and advances in instrumentation.

The accuracy of the simulations of GST by IPCC would also be improved significantly by introducing the influence of fine dust from the actual atmospheric nuclear explosions into their climate models; thus, global warming behavior could be more accurately predicted

• Accept that the IPCC's dynamic models are the mediocre part of climate - science, and large dynamical models improve only at a slow decade - by - decade pace.

For independent realisations, the natural variability noise is reduced by the ensemble averaging (averaging to zero for a large enough ensemble) so that -LCB- T -RCB- is an improved estimate of the model s forced climate change Tf.

As we learn more about how the climate works, today and in the geological past, our understanding improves and the computer models are modified in different ways by different research teams to seek better predictions.

A really powerful supercomputer would be able to improve climate models a very great deal by calculating explicitly important processes like turbulence, convection, thunderstorms, tornadoes, orographic precipitation etc that are unavoidably «parameterized» today.