Sentences with phrase «performance of climate models»

Each section also provides a short round up of the evaluations of the performance of the climate models, discussing their weaknesses in terms of reproducing regional and local climate characteristics.

Many climate - related studies, such as detection and attribution of historical climate change, projections of future climate and environments, and adaptation to future climate change, heavily rely on the performance of climate models.

This the most easily verifiable graph IPCC ever gave regarding the performance of climate models in the near term.

Not exact matches

The increases come on the heels of $ 244 million that the government granted as part of the stimulus package for high - performance computing for climate modeling and climate sensors.

CESM1, the state - of - the - art climate model used in this study, has improved performance in the last few decades.

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.

Model performance in reproducing the observed seasonal cycle of land snow cover may provide an indirect evaluation of the simulated snow - albedo feedback under climate change.

Standards related to instructional leadership, school climate, human resource management, organizational management, communication and community relations, and professionalism each account for ten percent of the evaluation and performance rating within the model.

When using your Vehicle, UVO eServices automatically (or passively), including, through the use of telematics, collects and stores information about your Vehicle, such as: (i) information about your Vehicle's operation, performance and condition, including such things as diagnostic trouble codes, oil life remaining, tire pressure, fuel economy and odometer readings, battery use management information, battery charging history, battery deterioration information, electrical system functions; (ii) driver behavior information, which is information about how a person drives a Vehicle, such as the actual or approximate speed of your Vehicle, seat belt use, information about braking habits and information about collisions involving your Vehicle and which air bags have deployed; (iii) information about your use of the Vehicle and its features, such as whether you have paired a mobile Device with your Vehicle); (iv) the precise geographic location of your Vehicle; (v) data about remote services we make available such as remote lock / unlock, start / stop charge, parking location, climate control, charge schedules, and Vehicle status check; (vi) when there is a request for service made; and (vii) information about the Vehicle itself (such as the Vehicle identification number (VIN), make, model, model year, selling dealer, servicing dealer, date of purchase or lease and service history)(collectively, «Vehicle Information»).

If we compare both Fusion and Prius; Fusion has got much better interior look than the Prius.Dash board of this model is cool with features like climate control, traction control, high performance audio system and central locking system.It is a big competitor for other models like Honda, Toyota, Chevy.

You may notice that there is a slight drop in its power figures from the Euro - market TTS» 310 hp / 380 Nm, but Audi Malaysia has confirmed to paultan.org that it has had to compromise the performance of our local - spec model slightly to accommodate the demands of our local fuel quality and hot climate — it was a similar case for our local - spec Volkswagen Golf R, which also had its local output figures compromised.

For example, I'd draw your attention to Figure 9.7, p. 766, of Chapter 9 of AR5, which shows significant differences in model performance, albeit not assessed in relation to climate sensitivity.

Just some thoughts on what might be covered; but basically some historiography of climate model performance.

The performance of models using a climate sensitivity range of from 1.0 to 5.0 is essentially equal in hindcasting.

Last but not least: do you know of trends from any climate model which covers the full 400 year as what S&W did, compared to the Moberg reconstruction, and has that a better performance?

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.

How ARM came to be: After 25 years in action, ARM is still in the business of bettering the performance of the climate science's general circulation models.

This study evaluates the performance of RegCM3 (Regional Climate Model Version 3) in simulating the East Asian rainfall, with emphasis on the diurnal variations of rainfall over Southeast China during the 1998 - 2002 summer (June - August) seasons.

As climate modelers prepare to gather in College Park, Maryland, during the first week of April 2018 for the annual US Climate Modeling Summit, one topic that is likely to dominate discussions is whether we need to rethink our approach to improve model performance and acclimate modelers prepare to gather in College Park, Maryland, during the first week of April 2018 for the annual US Climate Modeling Summit, one topic that is likely to dominate discussions is whether we need to rethink our approach to improve model performance and acClimate Modeling Summit, one topic that is likely to dominate discussions is whether we need to rethink our approach to improve model performance and accuracy.

The coil and extrusion coatings group of PPG Industries recently published a white paper about an energy modeling study showing that high - reflectance coatings improve the energy performance of high - rise buildings, even in cold climates.

In the paper, according to the abstract, Scafetta compares the performance of a recently proposed empirical climate model based on astronomical harmonics against all CMIP3 available general circulation climate models (GCM) used by the IPCC (2007) and finds that the climate appears to be resonating with, or is synchronized to, a set of natural harmonics that have been associated to the solar system planetary motion.

These data are used to research atmospheric radiation balance, cloud feedback processes, and to initialize and evaluate model performance, which are critical to the understanding of global climate change.

The best test of global climate models is of course in their performance.

In 2001, a large number of European climate modeling groups joined to form the European Network for Earth System Modeling (ENES) with the aim of accelerating the development of Earth system models for climate through the exchange of model software and results and improving high performance computing facmodeling groups joined to form the European Network for Earth System Modeling (ENES) with the aim of accelerating the development of Earth system models for climate through the exchange of model software and results and improving high performance computing facModeling (ENES) with the aim of accelerating the development of Earth system models for climate through the exchange of model software and results and improving high performance computing facilities.

Suzana J. Camargo, Michael K. Tippett, Adam H. Sobel, Gabriel A. Vecchi, Ming Zhao, Testing the Performance of Tropical Cyclone Genesis Indices in Future Climates Using the HiRAM Model.

You also ignored the multiple errors you made in claiming that certain effects were not included in climate models, including one that I referred you to peer - reviewed literature for proof, If I was one of your design reviewers and you'd completely ignored multiple specific and documented criticisms about your design, I'd go out of my way to make sure that your annual performance review indicated that you were not meeting my expectations for an engineering intern, never mind an engineer with 46 years of experience.

So an acceptable performance of most global climate models for the past is almost guaranteed.

The climate community has been lax in grappling with the issue of establishing formal metrics of model performance and reference datasets to use in the evaluation.

Taking into account heating and cooling loads for different building types in different climates, they modeled the building energy demand with electrochromic windows for a wide range of different transmitting and blocking performance targets.

(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.

While the IPCC's associated climate «experts» are going through their own set of mental gyrations to explain the abysmal climate model and AGW hypothesis performances, two scientists explain how this failure was produced - article number one and article number two.

Berkeley Lab recently hosted an international workshop that brought together top climatologists, computer scientists and engineers from Japan and the United States to exchange ideas for the next generation of climate models as well as the hyper - performance computing environments that will be needed to process the data from those models.

In the summary of climate model performance in Chapter 9 and expected future changes of climate patterns in Chapter 14, the report cites Furtado et al. (2011) for its comprehensive model evaluation of the Pacific modes of climate variability.

To evaluate the models for their performance in reproducing climate change, we should look over longer periods of time.»

The period 1981 — 2000 is used for model calibration and 2001 — 2010 for validation, with performance assessed in terms of 27 Climate Extremes Indices (CLIMDEX).

The performance of the CGCM1 climate model looks even less impressive in this corrected version.

In contrast, for the precipitation amounts and related climate indices, the performance of downscaling models deteriorated in future climate.

Overall, ANN models and tree ensembles outscored the linear models and simple nonlinear models in terms of precipitation occurrences, without performance deteriorating in future climate.

Figures 20 - A to 20 - D, 19A and 19B show that the meshed models performance for hind - casting, despite the discretionary use of «cooling aerosols», forbid and disprove statements like «That's why one can forecast the climate states to which we are going»

Objective measures of climate model performance are proposed and used to assess simulations of the 20th century, which are available from the Coupled Model Intercomparison Project (CMIP3) arcmodel performance are proposed and used to assess simulations of the 20th century, which are available from the Coupled Model Intercomparison Project (CMIP3) arcModel Intercomparison Project (CMIP3) archive.

More recently, Beena Sarojini and colleagues (2012) examined the performance of a new (and supposedly improved) crop of climate models and found much the same as Zhang et al. (2007).

The General Circulation Models (GCM) driving the regional models chosen are rated in the top 25 %, according to a performance evaluation of CMIP5 models carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patModels (GCM) driving the regional models chosen are rated in the top 25 %, according to a performance evaluation of CMIP5 models carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patmodels chosen are rated in the top 25 %, according to a performance evaluation of CMIP5 models carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patmodels carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patterns.

They replicated this problem using two - dimensional hygrothermal modeling in a Montreal climate and demonstrated that using semi-permeable materials (building paper) on both sides of a fiberglass batt cavity had the best overall performance.

These studies also find that the impacts are highly conditional on assumptions made in the assessment, for example, with respect to weightings of global climate models (GCMs)-- according to some criteria, such as performance against past observations — or to the combination of GCMs used.

Verification of these forecasts will provide an important opportunity to test the performance of models and our understanding and knowledge of the drivers of climate change.

Past climate models, as judged by the performance of the majority of Coupled Model Intercomparison Project 3 (CMIP3) simulations used in the IPCC Fourth Assessment Report, underestimated the observed linear trend in Arctic sea ice loss (Stroeve et al., 2007).

The third level of metrics, multivariable integrated evaluation index (MIEI), further summarizes the three statistical quantities of second level of metrics into a single index and can be used to rank the performances of various climate models.

Berkeley Lab recently hosted the fifteenth in a series of annual workshops bringing together top climatologists and computer scientists from Japan and the United States to exchange ideas for the next generation of climate models, as well as the hyper - performance computing environments that will be needed to process their data.

Comparison of the observed global - mean temperature record with climate model simulations serves to validate (and better understand) climate model performance and ability to simulate the global - mean temperature component of global climate change in response to radiative forcings.

That poster presents an analysis, which includes elements of Box9.2 Figure 1a, that is a far better way to assess model performance than what is being pushed by Dana Nuccitelli, and shows that, contrary to Dana's claims (which are often unjustified by proper application of the facts), climate models are doing pretty much as bad as you think.