Sentences with phrase «feedback processes between»

Not exact matches

This curiosity and the process of asking for feedback can be difficult, but ultimately it will provide insight that could be the difference between reaching your goals and falling short.

Bergson is saying that in all but the most «automatic» cognitive processes, (including the «mechanical» application of a precise algorithm) a «feedback» occurs between the initial guesstimate (Gadamer's «prejudice «4) and the frequently sprawling diversity of facts, material, contents, etc., which will eventually (hopefully) be «brought into line» (grasped, comprehended, «organized»).

This type of reflection and feedback process should occur between coach and player at all levels bantam / U14 and above including high school and juniors.

Feedback between these processes can help to stabilize the rates of erosion and increase the lifespan of mountains, the authors said.

«The various processes and feedbacks between the physical forcing factors in the climate system are under active investigation by a whole community of climate scientists,» he says.

But there is also a critical feedback loop between these two systems — processed in our brain stem — and our eyes.

«Ours is the first experimental investigation of the relationship between expectation disconfirmation and behavioral intentions in the context of personal risk perceptions, and the first study to examine the process by which intentions might rise or fall in response to unexpected risk feedback.»

This project addresses feedbacks between microbial matabolism and ecosystem processes in a forest soils, prairie potholes, river systems, and lakes.

development of two - way coupling between WRF and CCSM to represent the upscaled effects of climate hot spots such as the Maritime Continent, the subtropical eastern boundary regime, and the monsoon regions where global climate models fail to simulate the complex processes due to feedback and scale interactions.

The Carbon Cycle group studies the physical and chemical land surface processes and interactions and feedbacks between atmosphere, biosphere and hydrosphere.

Note that the observational approach needs to assume a constant climate sensitivity between different states, whereas perturbed physics ensembles don't (though you still need to understand what feedback processes are important between different climate states to have confidence in the results).

Today our publication on «Oxic - anoxic regime shifts mediated by feedbacks between geochemical processes and microbial community dynamics» has been published in Nature Communications.

We noted that few observers questioned their own consistency between classes and teachers and that few schools had processes in place for observers to work together to design protocols for observation and feedback.

If alignment between the training and expectations, feedback, tools, resources, consequences, incentives, processes, and other aspects of the work environment doesn't happen, training can be an expensive waste of resources.

By leveraging both in - person and video observations, engaging regularly with teachers in the feedback process, providing bite - sized feedback on a narrow set of expectations, and focusing on the formative growth of her teachers, she has blurred the line between evaluation and support.

The strategic planning process itself directly played a role in increasing communication between ASD and the field and supplying numerous opportunities for the field to provide feedback to the ASD.

Unlike the traditional evaluation process where principals may only evaluate teachers once a year or in some cases every couple of years, with very little feedback on practice between evaluation points, today's evaluation means all day, every day.

In the months between the two timed writing samples, a digital student portfolio of writing will be developed that includes evidence of a writing process (e.g. planning, drafts, revision, editing, reflections, feedback, final product, etc.).

A common language about instruction is now developing throughout the district, whether during a feedback discussion between a teacher and a principal or during the superintendent's budgeting process when determining professional development priorities.

One of the most valuable parts of the process is in the meetings between the groups and me or meetings between groups for feedback.

Drawing on Improvement Sciences methodology, create a productive balance between the roles of independent, external summative evaluator and collaborative formative evaluator providing rich and timely data and feedback to the design development process.

It is an ongoing process that includes the all - important feedback loop between you and your students, alerting you to possible challenges, giving students control over their learning, and ensuring time for you and your students to react.

During this process, there is a natural evolution between the original sketch to the finished painting, a self - referential feedback loop in which the painting informs itself even as it is being made.

Granted, it is «slow» right now, but the melting has been increasing quite substantially, and whereas the IPCC had been speaking in the neighborhood of a sea level increase of 50 cm, figures between one to two meters are becoming common as the result of observed changes, and with the nonlinear processes and resulting positive feedback, Jim Hansen has suggested that a sea level doubling per decade and increase of several meters (up to 5 m) by the end of the century is more realistic.

Granted, it is «slow» right now, but the melting has been increasing quite substantially, and whereas the IPCC had been speaking in the neighborhood of a sea level increase of 50 cm, figures between one to two meters are becoming common as the result of the observed higher rates since, and with the nonlinear processes and resulting positive feedback, Jim Hansen has suggested that a sea level doubling per decade and increase of several meters (up to 5 m) by the end of the century is more realistic.

The close link between these processes means that water vapour and lapse rate feedbacks are commonly considered together.

The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model deProcesses relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model deprocesses (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model development

I have devoted 30 years to conducting research on topics including climate feedback processes in the Arctic, energy exchange between the ocean and atmosphere, the role of clouds and aerosols in the climate system, and the impact of climate change on the characteristics of tropical cyclones.

Feedback - An interaction mechanism between processes is called a fFeedback - An interaction mechanism between processes is called a feedbackfeedback.

The technology innovation process is complex and nonlinear; complex because it involves a range of actors and factors and nonlinear because technology innovation occurs through multiple dynamic feedbacks between the stages of the process.

I have used it for the analysis of CFC - ozone politics (in a book called Transnational Environmental Policy, see here The difference between the two cases are (with regard to positive / negative feedback) that in ozone politics a small group of dedicated advocacy scientists got the process started and was at the centre of a feedback loop.

System science: IPCC thinks feedback, which it adapted from system science, is either an illusory relation between correlated processes or a computer parameter calculated at run time.

However, the precise processes and feedback mechanisms have not yet been fully understood, so that the interaction between aerosol particles, their suitability as cloud condensation nuclei, and the sunlight reflected off the earth's surface represented one of the greatest uncertainties in the calculation of climatic activity.

Focuses on the interactions between components, both historical and anticipated, is targeted on the feedbacks, pathways, and processes that link these different components of the Arctic system

The Carbon Cycle group studies the physical and chemical land surface processes and interactions and feedbacks between atmosphere, biosphere and hydrosphere.

Climate feedback - An interaction mechanism between processes in the climate system is called a climate feedback when the result of an initial process triggers changes in a second process that in turn influences the initial one.

Models that attempt to perform reliable projections of future climate changes should account explicitly for the feedbacks between climate and the processes that determine the atmospheric concentrations of greenhouse gases, reactive gases and aerosol particles.

Based on the understanding of both the physical processes that control key climate feedbacks (see Section 8.6.3), and also the origin of inter-model differences in the simulation of feedbacks (see Section 8.6.2), the following climate characteristics appear to be particularly important: (i) for the water vapour and lapse rate feedbacks, the response of upper - tropospheric RH and lapse rate to interannual or decadal changes in climate; (ii) for cloud feedbacks, the response of boundary - layer clouds and anvil clouds to a change in surface or atmospheric conditions and the change in cloud radiative properties associated with a change in extratropical synoptic weather systems; (iii) for snow albedo feedbacks, the relationship between surface air temperature and snow melt over northern land areas during spring and (iv) for sea ice feedbacks, the simulation of sea ice thickness.

Recently Y10 investigated the physical processes involved in determining the climate sensitivity of the structurally different SMEs of HadSM3 and MIROC3, and found that while shortwave (SW) cloud feedback plays an important role for the difference in the ensemble mean and the spread of climate sensitivity in the two SMEs, the mechanisms which determine the spread in shortwave cloud feedback might be different between the two SMEs.

Although it is reported that there are some relationships between the present states of cloud (e.g. Williams and Webb 2008, Yokohata et al. 2010) or water vapour (Sherwood et al. 2010) and climate feedback processes, it is not straightforward to relate the reliability of the present behavior and the climate sensitivity as discussed in Sect. 2.3.

As a reviewer of the Greenland paper in question, the key item is that «The positive - feedback mechanism between melt rate and ice velocity appears to be a seasonal process that may have only a limited effect on the response of the ice sheet to climate warming over the next decades.»

Seeking to gain insights on feedback dynamics between ecosystem structure and function, and the influence of disturbance on trajectories of ecosystem processes.

10 - 14 June 2013: CFMIP / EUCLIPSE Meeting on Cloud Processes and Climate Feedback, Hamburg, GERMANY Focus: Clouds and precipitation in a changing climate; Coupling between cloud processes and the atmospheric circulation; Ability of models to simulate cloud processes, and the impact of errors on model predictive capProcesses and Climate Feedback, Hamburg, GERMANY Focus: Clouds and precipitation in a changing climate; Coupling between cloud processes and the atmospheric circulation; Ability of models to simulate cloud processes, and the impact of errors on model predictive capprocesses and the atmospheric circulation; Ability of models to simulate cloud processes, and the impact of errors on model predictive capprocesses, and the impact of errors on model predictive capabilities

KM is not about improvements in time recording, for example — that may be a joint effort between IT (building a system to automate timesheets), HR (designing processes to help partners recognise good practice and manage poor time - keepers), Finance (communicating the impact of good time - keeping, billing, etc), and BD (collating feedback from clients on good and bad practice).

a Learning engine: - that would allow for system self - adjustments to fit apparent work needs of users and to provide a feedback loop between user interaction and system content and processes.

Basically, if such a bidirectional relationship can be established between two kinds of variables this means that they may enter into a self - generating «vicious cycle» where increases in the one variable lead to increases in the other, and vice versa — a process that can be described in terms of a dynamic system, where internal feedback processes lead to the emergence and stabilization of pathological patterns.