Sentences with phrase «climate modeling system»

The weather@home regional climate modelling system for Australia and New Zealand has been used for a number of different experiments in 2016.

For the purpose, the PRECIS (Providing REgional Climates for Impacts Studies) a regional climate modelling system, of UK Met Office, is used.

The warnings, from two studies and the UK's PRECIS regional climate modelling system, are unanimous on one conclusion: the Himalayan region, which includes the two most recent sufferers of devastating flash floods, Jammu and Kashmir and Uttarakhand, is receiving more rainfall than ever before and it's only getting worse.

He is Canada Research Chair in Climate Modelling and Analysis at the University of Victoria, mastermind of one of the most sophisticated climate modelling systems on the planet, and lead author on two recent landmark IPCC reports.»

EUCLEIA will develop a climate modelling system to investigate heatwaves, cold spells, floods, droughts and storm surges in Europe.

An unintended consequence of this strategy is that there has been very little left over for true climate modeling innovations and fundamental research into climate dynamics and theory — such research would not only support amelioration of deficiencies and failures in the current climate modeling systems, but would also lay the foundations for disruptive advances in our understanding of the climate system and our ability to predict emergent phenomena such as abrupt climate change.

Not exact matches

Bridgespan's metrics for Rise could become a model for other investment firms if they prove successful, especially in a global political climate that is rethinking its capitalistic system.

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.

«We have to think of religious identity as the central mental model and framework and belief system by which many Americans, if not a majority of Americans, are going to come to understand climate change,» he said.

Murali Haran, a professor in the department of statistics at Penn State University; Won Chang, an assistant professor in the department of mathematical sciences at the University of Cincinnati; Klaus Keller, a professor in the department of geosciences and director of sustainable climate risk management at Penn State University; Rob Nicholas, a research associate at Earth and Environmental Systems Institute at Penn State University; and David Pollard, a senior scientist at Earth and Environmental Systems Institute at Penn State University detail how parameters and initial values drive an ice sheet model, whose output describes the behavior of the ice sheet through time.

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.

«Models do a good job at simulating some elements of the climate system, but they disagree on key aspects of the land - atmosphere CO2 exchange, and in particular the amount of carbon being sequestered,» Rawlins said in a statement.

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.

However, most climate system models have not done a good job of showing the relationship between permafrost and soil carbon dynamics.

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.

A. David McGuire, U.S. Geological Survey senior scientist and climate system modeling expert with the University of Alaska Fairbanks Institute of Arctic Biology, is lead author of the paper.

Three approaches were used to evaluate the outstanding «carbon budget» (the total amount of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple system properties using a simple model.

«This paper is another example of how surprisingly complex the climate system is, how interrelated or interconnected all the parts are, and how difficult it is to model correctly.»

Global climate models need to account for what Meehl calls «slowly varying systems» — how warmer air gradually heats the ocean, for example, and what effect this warming ocean then has on the air.

Using math and computer skills, he developed systems models showing 150 years of climate variability.

Over the next decade a few scientists devised simple mathematical models of the climate, and turned up feedbacks that could make the system surprisingly variable.

Better predictions would require improved climate - measurement tools, more sophisticated climate models that work on regional scales, and a better organized system to integrate all the data, the report concludes.

Combined, these models give public health and governmental officials vital climate information needed to create early warning systems — systems that can alert the public to the risk for disease and allow public health officials to mobilize resources and enact mosquito control programs and surveillance ahead of peak season.

The recent slowdown in global warming has brought into question the reliability of climate model projections of future temperature change and has led to a vigorous debate over whether this slowdown is the result of naturally occurring, internal variability or forcing external to Earth's climate system.

The method combines a model for systems such as weather or climate with real - world data points to develop predictions about the future.

«One reason that we haven't appreciated the role of aerosols in the climate system is that many — most — models don't include aerosol - cloud interactions,» including only a handful of those used in IPCC's fifth assessment report, released in 2014.

A few of the main points of the third assessment report issued in 2001 include: An increasing body of observations gives a collective picture of a warming world and other changes in the climate system; emissions of greenhouse gases and aerosols due to human activities continue to alter the atmosphere in ways that are expected to affect the climate; confidence in the ability of models to project future climate has increased; and there is new and stronger evidence that most of the warming observed over the last 50 years is attributable to human activities.

(Although climate models have critics, they reflect our best ability to describe how the climate system works, based on physics, chemistry and biology.

The models also include the greenhouse gas emissions and other pollutants that result from these processes, and they incorporate all of that information within a global climate model that simulates the physical and chemical processes in the atmosphere, as well as in freshwater and ocean systems.

«A cloud system - resolved model can reduce one of the greatest uncertainties in climate models, by improving the way we treat clouds,» Wehner said.

Their computer models included not just energy use and production, but also the broader economy and the climate system.

These «integrated assessment models» accounted for energy use, the economy, and climate and the way these different systems interact with one another.

«Our model can help predict if forests are at risk of desertification or other climate change - related processes and identify what can be done to conserve these systems,» he said.

«When we included projected Antarctic wind shifts in a detailed global ocean model, we found water up to 4 °C warmer than current temperatures rose up to meet the base of the Antarctic ice shelves,» said lead author Dr Paul Spence from the ARC Centre of Excellence for Climate System Science (ARCCSS).

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.

A 2000 - year transient climate simulation with the Community Climate System Model shows the same temperature sensitivity to changes in insolation as does our proxy reconstruction, supporting the inference that this long - term trend was caused by the steady orbitally driven reduction in summer insoclimate simulation with the Community Climate System Model shows the same temperature sensitivity to changes in insolation as does our proxy reconstruction, supporting the inference that this long - term trend was caused by the steady orbitally driven reduction in summer insoClimate System Model shows the same temperature sensitivity to changes in insolation as does our proxy reconstruction, supporting the inference that this long - term trend was caused by the steady orbitally driven reduction in summer insolation.

«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 findings are based on analyses of ancient plant leaf wax found in the sediments of the Gulf of Guinea in combination with computer models of the climate system.

Likewise, while models can not represent the climate system perfectly (thus the uncertainly in how much the Earth will warm for a given amount of emissions), climate simulations are checked and re-checked against real - world observations and are an established tool in understanding the atmosphere.

To test his idea, Salzmann used a computer model of the Earth system to find out how the climate would react to a doubling of the atmospheric carbon - dioxide concentration.

Prior climate models have lacked the fundamental computing power necessary to find the human signal above the noise of a variable climate system, McKinley says.

The new findings of successful multi-year drought / fire predictions are based on a series of computer modeling experiments, using the state - of - the - art earth system model, the most detailed data on current ocean temperature and salinity conditions, and the climate responses to natural and human - linked radiative forcing.

«This study is very important because [dust devils] are a big source of dust in the atmosphere on Mars,» but the methods of counting them are «primitive,» says Jeffery Hollingsworth, a research scientist who models the martin climate at the NASA Ames Research Center Planetary Systems Branch in Moffett Field, California.

The panel reported that the world is warming throughout the lower atmosphere, as climate models had predicted, and acknowledged «clear evidence of human influences on the climate system.»

«As healthcare systems and professionals worldwide become more aware of and concerned for the public health implications of climate change and excessive resource use, efficient care delivery models must be better understood and promoted,» says Dr. Thiel.

Under the Decadal and Regional Climate Prediction Using Earth System Models (EaSM) program, the National Science Foundation and the U.S. Departments of Agriculture and Energy will kick in a total of $ 50 million a year for 5 years.

«One class of crop models is agronomy - based and the other is embedded in climate models or earth system models.

Most important, it relies on the first published results from the latest generation of so - called Earth System climate models, complex programs that run on supercomputers and seek to simulate the planet's oceans, land, ice, and atmosphere.

Modeler Bette Otto - Bliesner of the National Center for Atmospheric Research in Boulder and paleoclimatologist Jonathan Overpeck of the University of Arizona matched results from the Community Climate System Model and climate records preserved in ice cores, exposed coral reefs, fossilized pollen and the chemical makeup of shells to determine the accuracy of the computer simuClimate System Model and climate records preserved in ice cores, exposed coral reefs, fossilized pollen and the chemical makeup of shells to determine the accuracy of the computer simuclimate records preserved in ice cores, exposed coral reefs, fossilized pollen and the chemical makeup of shells to determine the accuracy of the computer simulation.

The biggest concern: that the Accelerated Climate Modeling for Energy (ACME) project, meant to forecast local impacts of climate change and to be used on DOE's future exascale supercomputers, would dilute resources from the Community Earth System Model Climate Modeling for Energy (ACME) project, meant to forecast local impacts of climate change and to be used on DOE's future exascale supercomputers, would dilute resources from the Community Earth System Model climate change and to be used on DOE's future exascale supercomputers, would dilute resources from the Community Earth System Model (CESM).