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
Troublingly, said Evans, when the
team compared their data with various modern
climate models under Eocene conditions, most
models underestimated polar amplification by about 50 percent.
His
team built a
model with agents representing 1.4 million households around the globe — roughly 10,000 per country — and looked at how
climate change and disasters might affect health, food security, and labor productivity.
But all 54
climate models the
team examined predicted that this wind will weaken as the world warms.
Researchers Rebecca Dew and Michael Schwarz from the Flinders University of South Australia
teamed up with Sandra Rehan, the University of New Hampshire, USA, to
model its past responses to
climate change with the help of DNA sequences.
Barnard and his
team predicted how SoCal's shores would evolve from 2010 through 2100 by
modeling the factors that influence beaches — estimates for sea level rise as well as wave and storm behavior and predicted
climate change patterns if the world eventually stabilizes its greenhouse gas emissions by mid-century, then starts reducing them.
This enabled the
team to estimate how temperature - related mortality rates will change under alternative scenarios of
climate change, defined by the four Representative Concentration Pathways (RCPs) established by the Intergovernmental Panel on Climate Change for climate modelling and research i
climate change, defined by the four Representative Concentration Pathways (RCPs) established by the Intergovernmental Panel on
Climate Change for climate modelling and research i
Climate Change for
climate modelling and research i
climate modelling and research in 2014.
Over the past 34 years, rainfall in Uganda has decreased by about 12 percent even though many of the global
climate models predict an increase in rainfall for the area, according to an international
team of researchers.
The
team's findings, which are based on real, observed data, mirror the predictions of the
climate models.
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.
To predict which creatures are in danger of extinction, the
teams used computer
modeling and information from the Intergovernmental Panel on
Climate Change to compare the way habitats look today with how they may be altered by climate
Climate Change to compare the way habitats look today with how they may be altered by
climate climate change.
The research
team used a global
climate model to measure present - day conditions (1975 through 2004) and future scenarios (2071 through 2100), both at daytime and at night.
Allen's
team analyzed IPCC AR5 (5th Assessment Report)
climate models, several observational and reanalysis data sets, and conducted their own
climate model experiments to quantify tropical widening, and to isolate the main cause.
Using a global
climate model, a
team led by Princeton University researchers measured how severely heat waves interact with urban heat islands, now and in the future, in 50 American cities across three
climate zones.
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).
The
team also wanted to know whether the conditions on land interacted with the atmosphere to affect
climate, because most of the current
climate models don't simulate the Green Sahara period well, she said.
By combining this data with Ridgwell's global
climate model, the
team deduced the amount of carbon added to the ocean and atmosphere and concluded that volcanic activity during the opening of the North Atlantic was the dominant force behind the PETM.
The research
team drew information from huge stream - temperature and biological databases contributed by over 100 agencies and a USGS - run regional
climate model to describe warming trends throughout 222,000 kilometers (138,000 miles) of streams in the northwestern United States.
Members of the
team from Oxford University mapped the global geography of (Aedes species) mosquitoes capable of transmitting Zika virus and then
modeled the worldwide
climate conditions necessary for the virus to spread between Aedes mosquitoes and humans.
Meanwhile, a
team of
climate scientists who have been calculating how the pledges to cut emissions translate into temperature rises over the coming century, and were waiting for the final text to update their
models, were left baffled.
In a study published in the journal Nature
Climate Change an international research team modelled the impacts of a changing climate on the distribution of almost 13 thousand marine species, more than twelve times as many species as previously s
Climate Change an international research
team modelled the impacts of a changing
climate on the distribution of almost 13 thousand marine species, more than twelve times as many species as previously s
climate on the distribution of almost 13 thousand marine species, more than twelve times as many species as previously studied.
Gentine and his
team are now exploring ways to
model how biosphere - atmosphere interactions may change with a shifting
climate, as well as learning more about the drivers of photosynthesis, in order to better understand atmospheric variability.
The international
team of co-authors, led by Peter Clark of Oregon State University, generated new scenarios for temperature rise, glacial melting, sea - level rise and coastal flooding based on state - of - the - art
climate and ice sheet
models.
«When we saw all five
modeling teams reporting little difference in
climate change, we knew we were onto something.»
The study's
team took an inventory of the wastes at Camp Century and ran
climate model simulations.
Using published data from the circumpolar arctic, their own new field observations of Siberian permafrost and thermokarsts, radiocarbon dating, atmospheric
modeling, and spatial analyses, the research
team studied how thawing permafrost is affecting
climate change and greenhouse gas emissions.
Using 19
climate models, a
team of researchers led by Professor Minghua Zhang of the School of Marine and Atmospheric Sciences at Stony Brook University, discovered persistent dry and warm biases of simulated
climate over the region of the Southern Great Plain in the central U.S. that was caused by poor
modeling of atmospheric convective systems — the vertical transport of heat and moisture in the atmosphere.
The
team used DayCent, an ecosystem
modeling tool that tracks the carbon cycle, plant growth, and how growth responds to weather,
climate and other factors at a local scale.
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.
Computer
model projections of future conditions analyzed by the Scripps
team indicate that regions such as the Amazon, Central America, Indonesia, and all Mediterranean
climate regions around the world will likely see the greatest increase in the number of «dry days» per year, going without rain for as many as 30 days more every year.
In their current PNAS paper, the multidisciplinary
team of Rodó, Burns, Dan Cayan, PhD, a
climate researcher at UC San Diego Scripps Institution of Oceanography and co-authors in New York, Barcelona and Japan, say the new evidence suggests that the most likely cause of KD is a «preformed toxin or environmental molecule» originating from northeastern China, possibly related to Candida, which has been linked to Kawasaki - like coronary artery vasculitis in mouse
models.
The
team used the new scheme in five ice sheet
models and forced them with
climate warming conditions taken from two different
climate models.
An interdisciplinary
team of researchers led by ETH
climate scientist Joeri Rogelj used several
models to calculate how the climatic effects of CO2 and SLCF break down and how they relate to each other.
Using
climate models to understand the physical processes that were at play during the glacial periods, the
team were able to show that a gradual rise in CO2 strengthened the trade winds across Central America by inducing an El Nino - like warming pattern with stronger warming in the East Pacific than the Western Atlantic.
Their analysis emphasizes the greater vulnerability of poor populations to
climate impacts and highlights the need for better
modeling, like that proposed by the Princeton
team, to reduce poverty and
climate change.
An international
team of
climate researchers from the US, South Korea and the UK has developed a new wildfire and drought prediction
model for southwestern North America.
Climate models, his
team found, consistently predict such changes for the Fertile Crescent, the Middle Eastern area that includes Syria and Iraq.
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.
Climate models, his
team found, predict such changes for the region.
The
team doesn't directly attribute the die - offs to
climate change, but if extreme drought episodes become more frequent in the tropics — as
climate models predict they will — the lions could suffer, Packer says.
A new scientific paper by a University of Maryland - led international
team of distinguished scientists, including five members of the National Academies, argues that there are critical two - way feedbacks missing from current
climate models that are used to inform environmental,
climate, and economic policies.
Lonnie Thompson, Distinguished University Professor in the School of Earth Sciences at The Ohio State University and co-leader of the international research
team, said that the new data lend support to computer
models of projected
climate changes.
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 researchers» forecasts are based on the AWI's BRIOS (Bremerhaven Regional Ice - Ocean Simulations)
model, a coupled ice - ocean
model that the
team forced with atmospheric data from the SRES - A1B
climate scenario, created at Britain's Met Office Hadley Centre in Exeter.
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.
A
team of scientists from Vanderbilt and Stanford universities have created the first comprehensive map of the topsy - turvy
climate of the period and are using it to test and improve the global
climate models that have been developed to predict how precipitation patterns will change in the future.
That's according to Wenju Cai at the CSIRO in Melbourne, Australia, whose
team ran 21
climate models with data on past and future carbon emissions to see what would happen.
His
team fed data on peak river flows into
climate models.
Using
climate models to project into the future, the
team found the amount of time increased temperatures are expected to strip the air of moisture could up to double by the 2080s.
The
team's results «help us understand why Earth didn't warm as much as expected by
climate models in the past decade or so.»