Sentences with phrase «improving climate modeling»

Understanding the mechanisms that control tropical convection is a key to improving climate modeling simulations of the global energy balance.

A step that could improve climate models A better understanding of how the atmosphere and the oceans communicate and exchange things like CO2 can also help improve climate models and predictions of the future.

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.

CLARREO gathers data on climate change and its trends and would help scientists improve their climate models.

It listed among its aims «increasing scientific knowledge on climate change» and supporting research to «improve climate models».

Among other things, the information is improving climate models and is being compared with traditional data from ships to reveal longer - term trends.

The study also allowed the researchers to examine tree mortality — information needed to figure out how much carbon dioxide trees can store — to improve climate models.

«New understanding of ocean turbulence could improve climate models.»

Improving climate models The results are not entirely surprising to some polar scientists.

Those data, to be collected this year and next, could improve climate models, which account poorly for these atmospheric interactions and contain «horrific» uncertainties about the levels and behaviour of water vapour at stratospheric altitudes, Austin says.

The GRIP ice core is a unique archive of past climate and atmospheric chemistry which will improve climate models.

The study's findings could help test and improve climate models that are run for both past and future conditions.

PORTLAND, OREGON — Oceanographers have put a stethoscope on the coursing circulatory system of the Atlantic Ocean, and they have found a skittish pulse that's surprisingly strong in the waters east of Greenland — discoveries that should improve climate models.

The results so far show only a correlation between fires and water cycle indicators, but the data gathered from the study is allowing scientists to improve climate models to be able to establish a more direct relationship between biomass burning and its impacts on drought.

Climate researcher Hans Christian Steen - Larsen has for many years explored some of the most extreme environments on Earth, in his search to improve our climate models.

This five - year forecast isn't like the ones that appear on the evening news, rather, it is a research effort aimed at improving climate models.

The Radar Science and Operations Groups provide enhanced coordination with the Atmospheric System Research (ASR) science team to ensure ARM radar instruments and data products are producing the information necessary for improving climate model physics.

All these observations will be combined to improve climate models, which will provide an estimate of present - day and future surface melt on the East Antarctic ice shelves.

Their goal was to improve climate modeling of the MJO and authenticate results using observational data.

Jiacan Yuan is a climatologist who is interested in understanding the fundamental dynamical processes in the atmosphere and improving climate models, which could give us better predictive power and risk assessment of the changing climate.

His project is expected to provide important insights into how surface melt affects ice shelves, and provide data for improving climate models in order to provide an estimate of present - day and future surface melt on the East Antarctic ice shelves.

The data that we will retrieve in Antarctica will aid to evaluate and improve these climate models.

And at the Met Office, we're really focused on two aspects of improving climate models.

In the third article in our week - long climate modelling series, Carbon Brief asked a range of climate scientists what they think the main priorities are for improving climate models over the coming decade.

The more they learn, the more they might be able to improve climate models of atmospheric phenomena like ice formation, according to the American Physical Society.

Improving a climate model or developing new energy resources is economic activity.

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

Study of Earth's climate extremes through history — when climate was extremely cold or hot or changed quickly — may lead to improved climate models that could enable scientists to predict the magnitude and consequences of climate change.

Concerning climate - change forecasting, we can not expect that increased computer power and improved climate models will in the future «give more precise probability distributions of outcomes at the regional and decadal scales».

There is a great opportunity to use our knowledge of past climate change to test and improve climate models.

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.

Therefore, the MJO is a very important modeling target for the ARM modeling community geared specifically toward improving climate models.

The likely benefits of improved water vapor data include better weather forecasts as well as improved climate models.

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).

The objective of improving climate models for societal needs is based upon three dubious premises:

The objective of improving climate models for societal needs is based upon three dubious premises: • climate models are fit for this purpose • climate models are useful for this purpose • climate models are the best choice for this purpose

What, specifically, do you recommend in order to improve climate models and eliminate this claimed factor of 2?

Jiacan Yuan is a climatologist who is interested in understanding the fundamental dynamical processes in the atmosphere and improving climate models, which could give us better predictive power and risk assessment of the changing climate.

Understanding the chemical nature of soot particles could lead to improved climate models... and cleaner aviation engines.

Combine the new and improved data, measured correlation between the old models and the new data, and improved climate models that, when properly vetted and compared with historical climate reconstructions, and you end up with a very compelling global heating theory that has convinced 620 authors from 42 countries that both the theory and the predictions are accurate.

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.

Researchers at Vanderbilt University and Stanford University say their comprehensive map of the region's climate 21,000 years ago is helping them test and improve climate models that can predict how rainfall patterns might change in the future.

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.

This CSWA project will field test, evaluate and implement a climate protection incentive system incorporating the DeNitrification DeComposition (DNDC) model and practices that improve air quality, reduce emissions, improve carbon sequestration potential, and promote other environmental benefits.

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

The study concludes that incorporating this new insight into soil models will improve our understanding of how soils influence atmospheric carbon dioxide levels and global climate.

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

A better understanding of the heating distributions required to robustly simulate strong MJOs in climate models will improve insights into the dynamics of the climate system and projections of future climate.

And the evidence of change has mounted as climate records have grown longer, as our understanding of the climate system has improved and as climate models have become ever more reliable.