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
In the
study, scientists from the Potsdam - based Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, and Harvard University show that sea surface temperatures reconstructed from
climate archives vary to a much greater extent on long time scales than simulated
by climate models.
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.
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.
The
study uses a
model of China's economy and energy output, called C - GEM, developed
by scholars at the Tsinghua - MIT China Energy and
Climate Project.
Recent
modelling by researchers from the Potsdam Institute for
Climate Impact Research in Germany, as well as studies of past climate, suggest that the planet will soon have warmed enough to melt Greenland's ice sheet entirely — if it hasn't already become warm
Climate Impact Research in Germany, as well as
studies of past
climate, suggest that the planet will soon have warmed enough to melt Greenland's ice sheet entirely — if it hasn't already become warm
climate, suggest that the planet will soon have warmed enough to melt Greenland's ice sheet entirely — if it hasn't already become warm enough.
Many other
studies on black carbon's
climate influence have used models that have been used in reports by the Intergovernmental Panel on Climate
climate influence have used
models that have been used in reports
by the Intergovernmental Panel on
Climate Climate Change.
A U.S. Forest Service (USFS)
study found that between 53 and 97 percent of natural trout populations in the Southern Appalachian region of the U.S. could disappear due to warmer temperatures predicted
by global
climate change
models.
One positive finding of the ecological niche
modelling study is that while the ranges of many species are expected to contract, much of the remaining suitable habitat for many species will be located within existing protected areas, and that the recent creation of new reserves such as Itombwe and Kabobo in the Democratic Republic of Congo, have greatly increased the protection of some species under threat
by future
climate change.
Pinyon jay: flight to nowhere Johnson and his team used
climate models to
study the relationship between each target species and the vegetation it uses for food resources, which is affected
by shifts in temperature and precipitation.
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).
A recent
study in the Journal of Environmental Management carried out
by researchers at the European Forest Institute and their partners in the FP7 funded MOTIVE project (
Models for Adaptive Forest Management) discusses how forest managers and decision makers can cope with
climate uncertainties.
The
study establishes a method for estimating UHI intensities using PRISM — Parameter - elevation Relationships on Independent Slopes
Model — climate data, an analytical model that creates gridded estimates by incorporating climatic variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital eleva
Model —
climate data, an analytical
model that creates gridded estimates by incorporating climatic variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital eleva
model that creates gridded estimates
by incorporating climatic variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital elevation.
While his new
study makes no use of the huge computer
models commonly used
by scientists to estimate the magnitude of future
climate change, Lovejoy's findings effectively complement those of the International Panel on Climate Change (IPCC), h
climate change, Lovejoy's findings effectively complement those of the International Panel on
Climate Change (IPCC), h
Climate Change (IPCC), he says.
«As a result, some atmospheric circulations systems can not be resolved
by these
models, and this clearly impacts the accuracy of
climate change predictions as shown in our
study.»
The
study applied «medium to high» future emissions estimates of heat - trapping gases, as assumed
by the California state government, to
models designed to assess what effect
climate change would have on national parks like Yosemite, Death Valley, Redwood, Joshua Tree and Sequoia.
Noting that the timing of KD outbreaks in Japan coincides with certain wind patterns from Asia,
climate scientist Xavier Rodó, PhD, and colleagues at the Catalan Institution for Research and Advanced Studies and the Catalan Institute of Climate Sciences, both in Barcelona, used computer models to simulate air currents and airborne particle transport for all days since 1977 with high numbers of KD cases in Japan, based on data compiled by Yoshikazu Nakamura, MD, and colleagues at Jichi Medical University in
climate scientist Xavier Rodó, PhD, and colleagues at the Catalan Institution for Research and Advanced
Studies and the Catalan Institute of
Climate Sciences, both in Barcelona, used computer models to simulate air currents and airborne particle transport for all days since 1977 with high numbers of KD cases in Japan, based on data compiled by Yoshikazu Nakamura, MD, and colleagues at Jichi Medical University in
Climate Sciences, both in Barcelona, used computer
models to simulate air currents and airborne particle transport for all days since 1977 with high numbers of KD cases in Japan, based on data compiled
by Yoshikazu Nakamura, MD, and colleagues at Jichi Medical University in Japan.
The trends driven
by earlier snowmelt are likely to as they are «are very much in line with the projections of future
climate» from
climate models,
study co-author Berit Arheimer of the Swedish Meteorological and Hydrological Institute said.
The international research initiative IceGeoHeat led
by the GFZ German Research Centre for Geosciences establishes in the current online issue of Nature Geoscience that this effect can not be neglected when
modeling the ice sheet as part of a
climate study.
Michael Mann, a meteorology professor at Penn State who was not involved with the
study, said it's «speculative» but «plausible» that global
climate models have been underestimating
climate sensitivity
by assuming too much cloud glaciation.
His
study assesses the implications of regional changes in
climate predicted
by computer
models run
by Britain's Meteorological Office and NASA's Goddard Institute of Space
Studies (GISS) in the US.
Dr Nikolaos Skliris, a Research Fellow at the University of Southampton who led the
study, said: «Our findings match what has been predicted
by models of a warming
climate; as the world gets warmer wet regions will continue to get wetter and dry regions will continue to get drier.
Venus may have had a shallow liquid - water ocean and habitable surface temperatures for up to 2 billion years of its early history, according to computer
modeling of the planet's ancient
climate by scientists at NASA's Goddard Institute for Space
Studies (GISS) in New York.
This new
study by Benjamin A. Black and colleagues tests this hypothesis with a sophisticated
climate model.
This
study is focused on three specific aspects: to assess the impact of vegetation density on energy efficiency of a roof located at a Mediterranean coastal
climate; develop a simplified numeral
model that can estimate thermal resistance values equivalent to plants and substrates, and finally, to verify the numerical
model by using experimental data.
The
study by researchers including Joel E. Cohen, a visiting scholar at the University of Chicago, finds the increase in tornado outbreaks does not appear to be the result of a warming
climate as earlier
models suggested.
Researchers at Chalmers University of Technology have
studied new ways of measuring sea level that could become important tools for testing
climate models and for investigating how the sea level along the world's coasts is affected
by climate change.
A second, independent
study using a simpler
climate model by Tom Wigley, another climatologist at NCAR, paints the same bleak picture.
Dennis Avery of the Hudson Institute cited Doran's
study, and claimed that «The American people are being hoodwinked not just
by the green activists, but
by the scientists who get billions of dollars for creating global
climate models that can't even forecast backward, let alone forward.»
Where
climate sensitivity is estimated in
studies involving comparing observations with values simulated
by a forced
climate model at varying parameter settings (see Appendix 9.
«The 3 - D
climate modeling used in the new
study begins to address these questions with a new level of sophistication
by investigating how specific locations might have accumulated rain or snow,» she added.
«Global and regional health effects of future food production under
climate change: a
modelling study»
by Marco Springmann et al. published in The Lancet on Wednesday 2 March.
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.
Acknowledgments: This
study was supported
by the U. S. Department of Energy, Office of Science
Climate Change
Modeling Program and Atmospheric Systems Research program.
The scientists carefully evaluated many aspects of the
climate in the four simulations, using measurements taken from the area, data pulled together from other
studies, and data produced
by the
model.
A very recent
study by Saba et al. (2015) specifically analyzed sea surface temperatures off the US east coast in observations and a suite of global warming runs with
climate models.
Overall, this
study demonstrates that the
climate simulated
by a numerical
climate model can be sensitive to how the snow albedo is treated.
Ricke and Caldeira sought to correct that
by combining the results from two large
modeling studies one about the way carbon emissions interact with the global carbon cycle and one about the effect of carbon on the Earth's
climate used by the Intergovernmental Panel on Climate
climate used
by the Intergovernmental Panel on
Climate Climate Change.
The
study by researchers of the Senckenberg Biodiversity and
Climate Research Centre and Goethe University is based on computer vegetation
models and was published in «Journal of Biogeography».
A new
study shows that the
climate simulated
by a numerical
climate model can depend surprisingly much of what is assumed about the snow grain shapes when computing the reflection of solar radiation
by the snowpack.
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.
A
study led
by Stefan Rahmstorf concluded «many vastly improved
models have been developed
by a number of
climate research centers around the world.
The work initiated
by Mann and his colleagues is still in its infancy, and as such further
study, the use of wider proxy networks and the development of more sophisticated
climate models will all be necessary future steps in propagating this research.
Furthermore, all approaches that use the
climate's time evolution attempt to account for uncertainty due to internal
climate variability, either
by bootstrapping (Andronova and Schlesinger, 2001),
by using a noise
model in fingerprint
studies whose results are used (Frame et al., 2005) or directly (Forest et al., 2002, 2006).
Wigley et al. (1997) pointed out that uncertainties in forcing and response made it impossible to use observed global temperature changes to constrain ECS more tightly than the range explored
by climate models at the time (1.5 °C to 4.5 °C), and particularly the upper end of the range, a conclusion confirmed
by subsequent
studies.
«[B] y making use of 21 CMIP5 coupled
climate models, we
study the contribution of external forcing to the Pacific Ocean regional sea level variability over 1993 — 2013, and show that according to
climate models, externally forced and thereby the anthropogenic sea level fingerprint on regional sea level trends in the tropical Pacific is still too small to be observable
by satellite altimetry.»
Model studies for
climate change between the Holocene and the Pliocene, when Earth was about 3 °C warmer, find that slow feedbacks due to changes of ice sheets and vegetation cover amplified the fast feedback
climate response
by 30 — 50 % [216].
Climate model studies and empirical analyses of paleoclimate data can provide estimates of the amplification of climate sensitivity caused by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal
Climate model studies and empirical analyses of paleoclimate data can provide estimates of the amplification of
climate sensitivity caused by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal
climate sensitivity caused
by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal events.
Oct. 3, 2017 - A recent
study by Lawrence Livermore National Laboratory (LLNL) scientists and collaborators is the first to use an ensemble of global chemistry
climate models to estimate death rates from air pollution caused
by the impact of
climate change on pollutant concentrations.
The recent paper
by Kate Marvel and others (including me) in Nature
Climate Change looks at the different forcings and their climate responses over the historical period in more detail than any previous modeling
Climate Change looks at the different forcings and their
climate responses over the historical period in more detail than any previous modeling
climate responses over the historical period in more detail than any previous
modeling study.