Tag Archives: modeling

Bleak Prospects for Avoiding Dangerous Global Warming

Bleak Prospects for Avoiding Dangerous Global Warming – ScienceNOW.

The bad news just got worse: A new study finds that reining in greenhouse gas emissions in time to avert serious changes to Earth’s climate will be at best extremely difficult. Current goals for reducing emissions fall far short of what would be needed to keep warming below dangerous levels, the study suggests. To succeed, we would most likely have to reverse the rise in emissions immediately and follow through with steep reductions through the century. Starting later would be far more expensive and require unproven technology.

Published online today in Nature Climate Change, the new study merges model estimates of how much greenhouse gas society might put into the atmosphere by the end of the century with calculations of how climate might respond to those human emissions. Climate scientist Joeri Rogelj of ETH Zurich and his colleagues combed the published literature for model simulations that keep global warming below 2°C at the lowest cost. They found 193 examples. Modelers running such optimal-cost simulations tried to include every factor that might influence the amount of greenhouse gases society will produce —including the rate of technological progress in burning fuels efficiently, the amount of fossil fuels available, and the development of renewable fuels. The researchers then fed the full range of emissions from the scenarios into a simple climate model to estimate the odds of avoiding a dangerous warming.

The results suggest challenging times ahead for decision makers hoping to curb the greenhouse. Strategies that are both plausible and likely to succeed call for emissions to peak this decade and start dropping right away. They should be well into decline by 2020 and far less than half of current emissions by 2050. Only three of the 193 scenarios examined would be very likely to keep the warming below the danger level, and all of those require heavy use of energy systems that actually remove greenhouse gases from the atmosphere. That would require, for example, both creating biofuels and storing the carbon dioxide from their combustion in the ground.

“The alarming thing is very few scenarios give the kind of future we want,” says climate scientist Neil Edwards of The Open University in Milton Keynes, U.K. Both he and Rogelj emphasize the uncertainties inherent in the modeling, especially on the social and technological side, but the message seems clear to Edwards: “What we need is at the cutting edge. We need to be as innovative as we can be in every way.” And even then, success is far from guaranteed.

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Split (2017) HD

Director : M. Night Shyamalan.
Writer : M. Night Shyamalan.
Producer : Mark Bienstock, Jason Blum, M. Night Shyamalan.
Release : January 19, 2017
Country : United States of America.
Production Company : Universal Pictures, Blumhouse Productions, Blinding Edge Pictures.
Language : English.
Runtime : 117 min.
Genre : Horror, Thriller.

Movie ‘Split’ was released in January 19, 2017 in genre Horror. M. Night Shyamalan was directed this movie and starring by James McAvoy. This movie tell story about Though Kevin has evidenced 23 personalities to his trusted psychiatrist, Dr. Fletcher, there remains one still submerged who is set to materialize and dominate all the others. Compelled to abduct three teenage girls led by the willful, observant Casey, Kevin reaches a war for survival among all of those contained within him—as well as everyone around him—as the walls between his compartments shatter apart.

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EarthRisk crunches data to predict extreme weather

EarthRisk crunches data to predict extreme weather | Green Tech – CNET News.

The HeatRisk application gives trained meteorologists tools to analyze the weather patterns that lead to extreme heat weeks before these events occur.

(Credit: EarthRisk Technologies)

EarthRisk Technologies is mining years of weather data for profit.

The San Diego-based start-up today launched HeatRisk, a Web-based application designed to predict extreme heat events 30 to 40 days out. The target audience is meteorologists who work for energy companies or other organizations which need a long-range forecast to hedge their risk from extreme temperatures.

Over time, EarthRisk Technologies intends to design a product aimed at less technical users and investigate whether its research method can be applied to predicting extreme storms, according to President and Chief Science Officer Stephen Bennett. Its first product, released last year, is for analyzing the factors that lead to extreme cold events.

More researchers are tapping powerful computers and software able to present big sets of data to address environmental problems, such as air and water quality or extreme weather. EarthRisk Technologies originally began as a research project at the Scripps Institute of Oceanography in San Diego, but company founders saw there was a business opportunity buried in its research.

“We realized if we could write a software application around our research, it would increase the value of the underlying research tremendously,” said Bennett. “The (corporate sponsors) said if you can put together a good application and continue to do cutting-edge research, we will be the first to sign up.”

Three years ago, Scripps was approached by energy companies and hedge funds which deal in energy futures to see if there was a way to identify major weather events beyond the National Weather Service forecast. In addition to causing safety hazards, extreme weather throws energy markets out of whack by creating an imbalance between supply and demand.

A power generator, for example, could use HeatRisk to prepare for a coming heat wave by purchasing fuel for auxiliary generators to meet higher demand. Having a longer lead time than traditional forecasts gives energy buyers and traders an advantage, explained Bennett.

Right now, the people who use the software need to be skilled in meteorology and be comfortable analyzing atmospheric conditions directly. Eventually, the company hopes its software could be used by retailers, farmers, or municipalities which can use long-range forecasts to prepare for extreme temperatures, Bennett said.

Dominoes lining up
The accuracy of weather forecasting has improved over the past decade from supercomputers and simulation software, but the focus tends to be on shorter-term windows than what EarthRisk is doing, Bennett said. And rather than trying to forecast average temperatures, EarthRisk is seeking the factors that lead to specific extreme temperature events.

The company’s TempRisk platform uses historical weather data to isolate the factors that lead to extreme temperatures.

(Credit: EarthRisk Technologies)

To build the application, researchers analyzed weather data going back to 1948 to identify the patterns that led up to extreme cold or heat. Each pattern is sort of like a domino and when enough of them line up, the software can help identify the probability of an extreme weather event, Bennett explained.

In a recent example, a combination of a large high-pressure system over Scandinavia and a low-pressure system in the Atlantic, followed by another system over the Solomon Islands pointed to a heat spike in the U.S.

People can use the analytical application through a Web browser and pay a fee for using it during a season and specific regions. A forecasting application could be ready in about six months, Bennett said.

Using software to dodge weather risk is new so it’s still not clear there is a strong demand for it. But EarthRisk isn’t the only company to use cloud computing and large amounts of data to hedge against extreme weather. Earlier this year, WeatherBill launched a service that gives farmers insurance against the effects of extreme weather by continuously analyzing weather data.