Sentences with phrase «dynamics models of climate»

One central one for me was the day in 2006 when, at a workshop for the Donella Meadows Leadership Fellows program where I was a trainer and Peter Senge a guest presenter, Peter said, «We need to get more system dynamics models of climate out there in the world, making a difference.

One central one for me was the day in 2006 when, at a workshop for the Donella Meadows Leadership Fellows program where I was a trainer and Peter Senge a guest presenter, Peter said, «We need to get more system dynamics models of climate out there in the world, -LSB-...]

Not exact matches

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.

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

In a recent paper titled, «Demarcating circulation regimes of synchronously rotating terrestrial planets within the habitable zone,» my co-authors and I analyze a set of climate model calculations to examine the dependence upon stellar effective temperature of the atmospheric dynamics of planets as they move closer to the inner edge of the habitable zone.

However, to make climate models more accurate, we are focused on developing a better understanding of the dynamics of organic aerosols formed from plant - based organic vapors and their interaction with aerosols emitted from human activities,» said Dr. Chen Song, a PNNL atmospheric scientist.

The researchers then employed a number of scientific theories and a set of sophisticated calculations to arrive at a mathematical framework to diagnose how climate model resolution affected the simulation of the location and dynamics of the jet stream.

To put it another way, modern climate models are simulations of physics — thermodynamics, fluid dynamics, some chemistry, and in some cases a little simulated biology.

Employs the use of climate models to better understand the dynamics of climate systems and weather and to predict future climate.

We therefore model the lag of juvenile climate dynamics over a plausible range of values, allowing the models to optimize the lag distance for the Japan regional total series.

There is still uncertainty about many aspects of the dynamics of climate change, and this will only be addressed by investment in climate models and the top - of - the - range supercomputers needed to run them.

The GISS Global Climate Model (GCM) is already made up of hundreds of thousands of lines of computer code, and now it will be expanded substantially to allow for the 3D visualization of exoplanet climates and planetary dynamics as well.

1) global climate model - driven projections of thermal expansion, atmosphere / ocean dynamics, and glacier melt,

Global climate models are the scientific community's best tools for understanding the detailed dynamics of the global climate system and the way those dynamics change in response to greenhouse gas emissions and other human activities.

At the same time, increasing depth and duration of drought, along with warmer temperatures enabling the spread of pine beetles has increased the flammability of this forest region — http://www.nature.com/nclimate/journal/v1/n9/full/nclimate1293.html http://www.vancouversun.com/fires+through+tinder+pine+beetle+killed+forests/10047293/story.html Can climate models give different TCR and ECS with different timing / extent of when or how much boreal forest burns, and how the soot generated alters the date of an ice free Arctic Ocean or the rate of Greenland ice melt and its influence on long term dynamics of the AMOC transport of heat?

The model employed is an intermediate - complexity Earth system model which accounts for the main ocean dynamics and biogeochemistry of the Cretaceous climate.

Seems like the climate models may describe a part of the climate system, i.e. how a the current basin of attraction will shift dynamics based on various forcings.

It was a good deed to give Dennis Schmitt a forum to respond to Patrick Michaels since Michaels doesn't offer one, we need to see less of the tug of war and more of the real evolving science as scientists strive to fill in gaps in data and missing links in climate models, and to understand feedbacks and the coupled dynamics of land, air and water.

This is a bit off topic, but, all this discussion of solar forcing has made me realize I don't have a good short - form mental model of transient climate dynamics.

General question: being familiar with computational fluid dynamics in the combustion world, I would like to know a few general details of the climate models.

In super-parameterized climate models, thousands of embedded idealized two - dimensional cloud process - resolving model arrays are used to calculate sub-grid cloud and boundary layer adjustments to resolved dynamics, instead of conventional statistical parameterizations.

Dear RC, Is it not possible that scientists and mathematicians from the science of non linear dynamics (which maths I am presuming is being used in the maths of climate models) to shed light on the amplification and dampening of the climates feedback cycles and hence the so called «sensitivity» issue and hence the possible range of temperatures?

The response of low clouds to warming is uncertain because the dynamics governing low clouds occur on scales of tens of meters, whereas climate models have horizontal grid spacings of 50 — 100 km (see the sketch at the top).

My point was that, if we accept this basic story (it's too simple, even as an account of how cultural cognition works; but that's in the nature of «models» & should give us pause only when the simplification detracts from rather than enhances our ability to predict and manage the dynamics of the phenomenon in question), then there's no reason to view the valences of the cultural meanings attached to crediting climate change risk as fixed or immutable.

This uncertainty is attributable to the inadequate resolution of climate models for resolving the small - scale turbulent dynamics of MBL clouds.

Do they actually think they can «model» something as complex as the climate and fluid dynamics of an entire planet and make such predictions accurately?

Syllabus: Lecture 1: Introduction to Global Atmospheric Modelling Lecture 2: Types of Atmospheric and Climate Models Lecture 3: Energy Balance Models Lecture 4: 1D Radiative - Convective Models Lecture 5: General Circulation Models (GCMs) Lecture 6: Atmospheric Radiation Budget Lecture 7: Dynamics of the Atmosphere Lecture 8: Parametrizations of Subgrid - Scale Physical Processes Lecture 9: Chemistry of the Atmosphere Lecture 10: Basic Methods of Solving Model Equations Lecture 11: Coupled Chemistry - Climate Models (CCMs) Lecture 12: Applications of CCMs: Recent developments of atmospheric dynamics and chemistry Lecture 13: Applications of CCMs: Future Polar Ozone Lecture 14: Applications of CCMs: Impact of Transport Emissions Lecture 15: Towards an Earth System Model

Coverage includes original paleoclimatic, diagnostic, analytical and numerical modeling research on the structure and behavior of the atmosphere, oceans, cryosphere, biomass and land surface as interacting components of the dynamics of global climate.

Are we the only scientists that can see how silly it is to argue about statistics on climate sensitivity being computed using a climate model that does not even remotely accurately describe the dynamics and physics of the atmosphere?

The little known Hurst standard deviations due to Hurst - Kolmogorov dynamics (a.k.a. climate persistence) are much higher than Markovian variations and typically TWICE as large as commonly calculated standard deviations of random «white noise» in climate models.

I might as well label you an idiot for using it, when you've never met me, have no idea of my competence or the strength of my arguments for or against any aspect of climate dynamics (because on this list I argue both points of view as the science demands and am just as vigorous in smacking down bullshit physics used to challenge some aspect of CAGW as I am to question the physics or statistical analysis or modelling used to «prove» it).

We use the large - eddy simulation code PyCLES to simulate the dynamics of clouds and boundary layers, to elucidate their response to climate changes, and to develop closure schemes for representing their smaller - scale dynamics in larger - scale climate and weather forecasting models.

In climate models however you have to botch smaller scale weather dynamics into «parameterized physics», and stabilize behavior of initially non-viscous Eulerian - based «core» with artificial dampings.

Prediction Continued improvements in modeling decadal - scale dynamics — and longer, when ice - sheet and deep - ocean dynamics are included — will continue to affirm the multi-decade arc of strong climate science that concludes «Hansen's worldview is right.»

I have not done much fluid dynamics research since the 1980's, but I keep up with the literature, and much of my current research is on the interpretation of weather and climate model ensembles.

It is easy to imagine, due the amount of the world that is ocean, that a model that well captures ocean / atmosphere dynamics is a significantly good model of predicting global climate even if it does poorly over land.

As the relatively new science of climate dynamics evolved through the 1980s and 1990s, it became quite clear from observational data, both instrumental and paleoclimatic, as well as model studies that Earth's climate never was and is unlikely to ever be in equilibrium.

This simulation with a comprehensive coupled climate model illustrates and expands upon the dynamics discussed in the context of an aquaplanet atmosphere - only model in Merlis and Schneider (2010).

This unique dataset of global inundation dynamics is crucial to various applications including hydrological and methane modeling, water management, and climate modeling.

By the time of the TAR, several climate models incorporated physically based treatments of ice dynamics, although the land ice processes were only rudimentary.

On the BBC's Today Programme this morning, Tim Palmer, professor of climate dynamics and predictability at Oxford University explained how stronger storms are what scientists and models expect with climate change.

(2) You again quote T. Howard et al suggesting this modeling exercise, with limited validation of the models, demonstrates something about the performance of future ocean / climate dynamics.

Researchers at CIRES» National Snow and Ice Data Center [About NSIDC] investigate the dynamics of Antarctic ice shelves, new techniques for the remote sensing of snow and freeze / thaw cycle of soils, the role of snow in hydrologic modeling, linkages between changes in sea ice extent and weather patterns, large - scale shifts in polar climate, river and lake ice, and the distribution and characteristics of seasonally and permanently frozen ground.

Modeling of the recent decadal climate record would require careful accounting for all of the radiative forcings, and would also require accurate modeling of ocean dynamics to accurately simulate the climate system's responModeling of the recent decadal climate record would require careful accounting for all of the radiative forcings, and would also require accurate modeling of ocean dynamics to accurately simulate the climate system's responmodeling of ocean dynamics to accurately simulate the climate system's response time.

Nine global vegetation models (GVMs)(meaning vegetation processes are simulated, but not necessarily vegetation dynamics), four of which were DGVMs, were used in the Coupled Climate — Carbon Cycle Model Intercomparison Project (3).

«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree of predictability of these two modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»

Abstract The purpose of this review - and - research paper is twofold: (i) to review the role played in climate dynamics by fluid - dynamical models; and (ii) to contribute to the understanding and reduction of the uncertainties in future climate - change projections.

The research was conducted with the use of a system dynamics model, based on the award - winning Climate Rapid Overview and Decision Support (C - ROADS) simulator.

«While the melting of Antarctic ice shelves is contributing to rising sea levels and other climate change dynamics in complex ways, this additional role of removing carbon from the atmosphere may have implications for global climate models that need to be further studied,»

JIGSAW (GEO) is designed to produce very high - quality Delaunay triangulations and Voronoi tessellations appropriate for unstructured finite - volume / element type models of planetary climate dynamics.