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 Com
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 Com
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 Com
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 Com
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 Com
climate 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 Com
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 Com
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 Com
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 Com
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 Com
climate 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.