Sentences with phrase «of climate modeling experiments»

d) WP - Clim: co-design of climate modeling experiments with PMIP and CMIP ECR Kamolphat Atsawawaranunt, Sandy Harrison

And I do think there are a number of questions about interpretation of observations, and the details of the climate model experiment (the very large exponentially increasing freshwater fluxes, the low - resolution of the ocean which obscures the potentially important role of wind - driven ocean gyres, etc.).

Here we analyze a series of climate model experiments along with observational data to show that the recent warming trend in Atlantic sea surface temperature and the corresponding trans - basin displacements of the main atmospheric pressure centers were key drivers of the observed Walker circulation intensification, eastern Pacific cooling, North American rainfall trends and western Pacific sea - level rise.

Newspaper reports of climate modelling experiments normally focus on predicted changes in global temperature.

Clever planning of climate model experiments may reduce the need for computational resources

- Co-design of climate model experiments with the PMIP Community (Clim).

«Using a large suite of climate model experiments, we see a clear emergence of much more intense, hot conditions in the U.S. within the next three decades,» said Noah Diffenbaugh, an assistant professor of environmental Earth system science at Stanford and the lead author of the study.

Based upon a number of climate model experiments for the twenty - first century where there are stases in global surface temperature and upper ocean heat content in spite of an identifiable global energy imbalance, we infer that the main sink of the missing energy is likely the deep ocean below 275 m depth.

Not exact matches

Instead progress is generally made by a painstaking piecing together of evidence from every new temperature measurement, satellite sounding or climate - model experiment.

The model calculations, which are based on data from the CLOUD experiment, reveal that the cooling effects of clouds are 27 percent less than in climate simulations without this effect as a result of additional particles caused by human activity: Instead of a radiative effect of -0.82 W / m2 the outcome is only -0.60 W / m2.

Future field experiments that can manipulate all three conditions at once will lead to better models of how long - term climate changes will affect ecosystems worldwide.

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 model.

Nadeau also studies the potential impacts of climate change on species around the globe, using modeling, field observation and experiments to predict where species are most vulnerable and determine how conservation groups can best mitigate the negative impacts of climate change on animal populations.

The ability of the inorganic component of sea spray particles to take up water has been the focus of this international study where a large suite of well - controlled laboratory experiments have shown, for the first time, that the hygroscopicity of the inorganic component of sea spray is significantly lower than pure sodium chloride, a substance routinely used to describe their hygroscopicity in climate models.

«These experiments will enable us to further test and refine the underlying processes in the CORPSE model and should lead to improved predictions of the role of plant - soil interactions in global climate change,» Sulman said.

Models and experiments only go so far in assessing the effects of climate change.

«When we analyzed IPCC climate model experiments driven with the time - evolution of observed sea surface temperatures, we found much larger rates of tropical widening, in better agreement to the observed rate — particularly in the Northern Hemisphere,» Allen said.

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.

They will exploit a combination of state - of - the - art climate model experiments, advanced statistical techniques and idealised dynamical frameworks to accomplish the project.

The group hopes other scientists will conduct similar experiments using different models to help hone in on a more reliable measure of climate sensitivity.

Using the sophisticated UK Met Office climate model, Dr Screen conducted computer experiments to study the effects of Arctic sea - ice loss on the NAO and on Northern European winter temperatures.

An international group of atmospheric chemists and physicist could now have solved another piece in the climate puzzle by means of laboratory experiments and global model simulations.

For the study, Gentine and Lemordant took Earth system models with decoupled surface (vegetation physiology) and atmospheric (radiative) CO2 responses and used a multi-model statistical analysis from CMIP5, the most current set of coordinated climate model experiments set up as an international cooperation project for the International Panel on Climate climate model experiments set up as an international cooperation project for the International Panel on Climate Climate Change.

The research made use of the weather@home citizen - science project, part of Oxford's climateprediction.net climate modelling experiment, to model possible weather for January 2014 in both the current climate and one in which there was no human influence on the atmosphere.

Using a super-ensemble of regional climate model simulations from the climateprediction.net experiment, we will determine how the carbon produced by these major industrial entities is contributing to the damages from climate change.

To understand the role of human - induced climate change in these new records they compare simulations of the Earth's climate from nine different state - of - the - art climate models and the very large ensemble of climate simulations provided by CPDN volunteers for the weather@home ANZ experiments for the world with and without human - induced climate change.

Standard experiments, agreed upon by the climate modelling community to facilitate model intercomparison (see Section 8.1.2.2), have produced archives of model output that make it easier to track historical changes in model performance.

For the work of the Montana Climate Assessment, we employed an ensemble from the fifth iteration of the Coupled Model Intercomparison Project (CMIP5), which includes up to 42 GCMs depending on the experiment conducted (CMIP5 undated).

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

Climate modeling groups have also been experimenting with ways to use the predictability of deeper ocean circulations (where internal variations can persist for up to a decade), but results have been mixed at best.

http://www.metoffice.gov.uk/research/news/cmip5 ``... (CMIP5) is an internationally coordinated activity to perform climate model simulations for a common set of experiments across all the world's major climate modelling centres....

The CMIP5 modelling exercise involved many more experiments and many more model - years of simulation than previous CMIP projects, and has been referred to as «the moon - shot of climate modelling» by Gerry Meehl, a senior member of the international steering committee, WGCM.....»

They conclude, based on study of CMIP5 model output, that equilibrium climate sensitivity (ECS) is not a fixed quantity — as temperatures increase, the response is nonlinear, with a smaller effective ECS in the first decades of the experiments, increasing over time.

The odds may have shifted to make some of them more likely than in an unchanging climate, but attribution of the change in odds typically requires extensive model experiments, a topic taken up in Chapter 9.

Then there are the tests of climate changes themselves: how does a model respond to the addition of aerosols in the stratosphere such as was seen in the Mt Pinatubo «natural experiment»?

Numerous climate modeling experiments which have included the role of natural (both solar and volcanic) radiative forcing have concluded that natural forcing can not explain 20th century warming.

But it's still the case that you just don't need to look at a climate model to evaluate the correctness of the experiment.

They show this with an elegant experiment, in which they «force» their global climate model to follow the observed history of sea surface temperatures in the eastern tropical Pacific.

Claudio Piani is currently working on a paper which attempts to provide a measure of model skill compared to recent climate (this work is in parallel to the sorts of things David Sexton has been doing at the Hadley Centre for the QUMP experiment, and similar to some of the work that has been undertaken as part of CMIP - 2).

«Numerous experiments have been conducted using climate models to determine the likely causes of the 20th - century climate change.

The CMIP5 modelling exercise involved many more experiments and many more model - years of simulation than previous CMIP projects, and has been referred to as «the moon - shot of climate modelling» by Gerry Meehl, a senior member of the international steering committee, WGCM.....»

This was one of the earliest transient climate model experiments and so rightly gets a fair bit of attention when the reliability of model projections are discussed.

He analysed some of the recent climate model results from an experiment known by the cryptic name «CMIP5 `.

Certainly, the field that is lumped in under the 2 billion is much broader than the climate model development community and its policy - driven experiments, which I would guess amounts to less than 5 % of the total.

As usual, we only have a single Earth and we are running the experiment on it right now, so models are the only way we can run multiple «experiments» and see what properties of the climate system we can figure out.

As a youth I participated in many of my father's experiments, observing first - hand the benefits of atmospheric CO2 on plant life and the manifold problems with the model - based theory of climate change, all of which events occurred long, long before James Hansen stood in front of the U.S. Senate and brought the CO2 debate to the eyes of the public in 1988.

The issue with the Mauritsen and Stevens piece is that it tries to go well beyond a «what if» modeling experiment, and attempts to make contact with a lot of other issues related to historical climate change (the hiatus, changes in the hydrologic cycle, observed tropical lapse rate «hotspot» stuff, changes in the atmsopheric circulation, etc) by means of what the «iris» should look like in other climate signals.

Of course, in analyzing potential systematics in tornado classification, it is essential that the group not be guided by theoretical models, in this case, the «latest climate model experiments» that Markowski and team cite.

Kosaka and Xie made global climate simulations in which they inserted specified observed Pacific Ocean temperatures; they found that the model simulated well the observed global warming slowdown or «hiatus,» although this experiment does not identify the cause of Pacific Ocean temperature trends.

We use models instead of experiments because the climate is simply too complex to be able to test with experiments.