Sentences with phrase «dynamical climate»

As a result, AER scientists predicted correctly the cold and snowy winter of 2012 to 2013 — in contrast, all the dynamical climate models predicted a warm winter.

A dynamical climate model driven hydrologic prediction system for the Fraser River, Canada.

This study evaluates the hydrologic prediction skill of a dynamical climate model - driven hydrologic prediction system (CM - HPS), based on an ensemble of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System (CanSIPS).

The dynamical climate modeling methods requires enormous computing power and skilled human capacity.

Recent improvements in forecast skill of the climate system by dynamical climate models could lead to improvements in seasonal streamflow predictions.

The dynamical climate modelling methods used at ICPAC provide the evolutionary spatial and temporal evolutionary dynamics of weather and climate evolutions over the GHA region.

Between AD 500 and 700 and the Little Ice Age phase 2 (LIA 2 — AD 1630 — 1850), the frequent typhoons were inferred by coarse sediments and planktonic diatoms, which represented more dynamical climate conditions than in the LIA 1.

Yang, and R.A. Pielke Sr., 2008: Assessment of three dynamical climate downscaling methods using the Weather Research and Forecasting (WRF) Model.

Not exact matches

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 idea that climate behaves like a dynamical system addresses some of the key shortcomings of the conventional view of climate change — the view that looks at the planet as a whole, in terms of averages.

The true gloomsters are scientists who look at climate through the lens of «dynamical systems,» a mathematics that describes things that tend to change suddenly and are difficult to predict.

A dynamical systems approach, by contrast, consider climate as a sum of many different parts, each with its own properties, all of them interdependent in ways that are hard to predict.

One of the most productive scientists in applying dynamical systems theory to climate is Tim Lenton at the University of East Anglia in England.

A global climate model or general circulation model aims to describe climate behavior by integrating a variety of fluid - dynamical, chemical, or even biological equations that are either derived directly from physical laws (e.g.

This was accomplished using a stochastic climate model based on the concept that ocean temperature variability is a slow dynamical system, a red noise signal, generated by integrating stochastic atmospheric forcing, or white noise71.

Furthermore, it has been suggested that an important mechanism for solar influence on climate is via dynamical effects on the Arctic Oscillation [Shindell et al., 2001, 2003b].

Chemistry and climate: Atmospheric composition plays an integral role in the climate system, with feedbacks on both dynamical and radiative processes throughout the atmosphere.

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.

Jiacan has worked on several projects on climate dynamics, including the response of large - scale circulations in the warming climate, its effects on regional weather patterns and extreme events, tropical influence on mid-latitude weather, and dynamical mechanisms of sub-seasonal variability of mid-latitude jet streams.

Contributions from the following topics (but not exclusively) are invited: • Solar irradiance and energetic particle impacts on the atmosphere • Upper atmospheric dynamical variability and coupling between atmospheric layers • Solar variations and stratosphere - troposphere coupling • Solar influence on climate variability • Solar irradiance (spectral and total irradiance) variations

Dynamical factors and thermodynamic aspects of climate change can interact in complex ways and there are many examples where the circulation is as important as the thermodynamics.

«Simple physics (effect of [sea - level rise] on storm surge) and simple thermodynamics (i.e. Clausius - Clapeyron) are valid whether or not we can trust the models to get the specifics dynamical linkages between climate change and extreme weather events right (and I'm deeply skeptical the models are up to this task at present).»

Influenced by the tropical climate and vegetation of her home country as well as by the urban vibe of cities like Rio de Janeiro, Milhazes combines traditional imagery and cultural clichés with plain geometric forms and accurate structured composition, creating dynamical and unexpected works.

Sci., 105, 13252 - 13257, 2008 Mann, M.E., Zhang, Z., Rutherford, S., Bradley, R.S., Hughes, M.K., Shindell, D., Ammann, C., Faluvegi, G., Ni, F., Global Signatures and Dynamical Origins of the Little Ice Age and Medieval Climate Anomaly, Science, 326, 1256 - 1260, 2009

There may be reason to strongly suspect that in any sufficiently complicated dynamical system model (such as climate) with stochastic parameters (e.g., exactly when and where a lightning strike starts a major wildfire or a major submarine earthquake perturbs ocean circulation in a region or a major volcanic eruption introduces stratospheric aerosols), it is almost certain that any given run of the model will have periods of significant deviation from the mean of multiple runs.

Rockel, B., C.L. Castro, R.A. Pielke Sr., H. von Storch, and G. Leoncini, 2008: Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models.

cutting - edge climate scientists should repetitively remind consensus climate scientists that climate change is a dynamical coupled phenomenon that per Lovejoy (2017), https://doi.org/10.22498/pages.25.3.136, with an atmosphere that varies: «On scales ranging over a factor of a billion in space and over a billion billion in time...» (see the first image).

I should have written that both the financial markets and the climate are dynamical systems.

GCMs have oceanographic components — see Kate's Skeptical Science post for a useful and accessible discussion of the architecture of climate models — which surely include currents as part of their «dynamical» modelling.

Furthermore, it has been suggested that an important mechanism for solar influence on climate is via dynamical effects on the Arctic Oscillation [Shindell et al., 2001, 2003b].

So even though El Nià ± o may serve as an analogue for some aspects of the influence of the weakening Walker circulation on climate, it does not serve as a dynamical analogue nor is the sensitivity to model details the same.

Not only is the climate of the Lorenz model easy to understand, it is also simple to predict how it will respond to a variety of «external forcings», in the form of either a parameter perturbation or direct forcing term in the dynamical equations.

It presents a significant reinterpretation of the region's recent climate change origins, showing that atmospheric conditions have changed substantially over the last century, that these changes are not likely related to historical anthropogenic and natural radiative forcing, and that dynamical mechanisms of interannual and multidecadal temperature variability can also apply to observed century - long trends.

Since you elected not to address the issue of models capability to represent critically - important glaciation - deglaciation episodes, now I have developed an impression that certain climate scentists have to learn a lot more about possibilities that are hidden in behavior of a large and complex dynamical system.

You need to understand the meta - physics of dynamical complexity to realise that — interesting as all this is — the future of climate is fundamentally non-linear.

Mann M.E., Zhang Z., Rutherford S., Bradley R.S., Hughes M.K., Shindell D., Ammann C., Faluvegi G., and Ni F. (2009) Global Signatures and Dynamical Origins of the Little Ice Age and Medieval Climate Anomaly, Science, 326, 1256 - 1260.

An example of an attempt to incorporate such complex changes into climate scenarios is the study of McInnes et al. (2000), who developed an empirical / dynamical model that gives return period versus height for tropical cyclone - related storm surges for Cairns on the north Australian coast.

Accurate long - term scientific predictions require conserved quantities: in solar system dynamics this conserved quantity is dynamical energy; in Hansen's climate - change theory it is thermal energy.

Climate models, whether forced or unforced, constitute dynamical systems.

The challenges are significant, but the record of progress suggests that within the next decade the scientific community will develop fully coupled dynamical (prognostic) models of the full Earth system (e.g., the coupled physical climate, biogeochemical, human sub-systems) that can be employed on multi-decadal time - scales and at spatial scales relevant to strategic impact assessment.

«In particular, it is not obvious, as of today, whether it is more efficient to approach the problem of constructing a theory of climate dynamics starting from the framework of hamiltonian mechanics and quasi-equilibrium statistical mechanics or taking the point of view of dissipative chaotic dynamical systems, and of non-equilibrium statistical mechanics, and even the authors of this review disagree.

Dynamical downscaling uses high - resolution climate models to represent global or regional sub-domains, and uses either observed or lower - resolution AOGCM data as their boundary conditions.

Although there are extreme limitations on what is known about potential tipping points the new paradigm does provide an opportunity to reframe the climate wars — clearly that nearly everyone has been dead wrong about the essential nature of Earth systems using simple causality rather then dynamical complexity.

Dynamical downscaling has the potential for capturing mesoscale nonlinear effects and providing coherent information among multiple climate variables.

Dynamical versus statistical downscaling for the generation of regional climate change scenarios at a Western Mediterranean basin: the Júcar River District

http://www.met.reading.ac.uk/~swr01tjw/pubs/ see 2010: «Dynamical influences on European climate: An uncertain future, Phil.

«Global Signatures and Dynamical Origins of the Little Ice Age and Medieval Climate Anomaly.»

Global Carbon Cycle Recent efforts have begun to extend Global Climate Models (GCMs) towards Earth System Models (ESMs), where the physical - dynamical GCM also includes key biogeochemical cycles important in determining the Earth's response to increasing Greenhouse Gas (GHG) emissions.

Egorova, T., E. Rozanov, E. Manzini, M. Haberreiter, W. Schmutz, V. Zubov, and T. Peter, 2004: Chemical and dynamical response to the 11 - year variability of the solar irradiance simulated with a chemistry - climate model, Geophys.

POAMA is the Bureau of Meteorology's dynamical (physics based) climate model used for multi-week to seasonal through to inter-annual climate outlooks.