Sentences with phrase «scale modelling analyses»

Insect outbreaks such as this represent an important mechanism by which climate change may undermine the ability of northern forests to take up and store atmospheric carbon, and such impacts should be accounted for in large - scale modelling analyses.

Characterization of the seasonal cycle of south Asian aerosols: A regional - scale modeling analysis.

Not exact matches

Further observations will be used to refine the global map, to construct local and regional digital elevation models for scientific analysis and aid in assessment of future landing sites, and to attempt to detect and characterize global - scale seasonal variations.

This analysis will provide help in creating study models with which to understand other large - scale phenomena.

The analysis has «beautifully reconciled the scale of observations with that of models,» Luiz Aragao, an expert in tropical forests at the University of Exeter, said in a commentary published alongside the new study.

One challenge with storms in Germany is that climate models have trouble accurately depicting such small - scale features, but a new generation of models that should come into wider use within the next year or two do a much better job, meaning that attribution analyses on such events should become more feasible, van Oldenborgh said.

The analysis uses methods that have already been peer - reviewed, including examining the change in occurrence of such extreme rains in the historical record and in climate models, as well as using finer - scale regional climate models to compare the current climate to one without warming.

Method development comprises construction and analysis of mathematical models that describe complex scientific, technical as well as socio - economic processes, the development of efficient algorithms for simulation or optimization of such models, accompanying development of visualization, large scale data management and data analysis techniques, and transfer of algorithms into efficient software and high performance computing techniques.

Validating this original concept, we previously demonstrated that PGD - derived hES cells and their derivatives, which express the causal mutation implicated in the Myotonic Dystrophy type 1 (DM1), offer pertinent disease - cell models, applicable for a wide systemic mechanistic analysis ranging from functional studies at the cellular level to a large - scale drug screening.

More specifically, we use large - scale data acquisition and quantitative modelling of phenotypes and molecular profiles, systematic perturbations (such as drugs or high - throughput genetics) and computational analysis of non-linear, epistatic interaction networks.

Analysis of simple models and intercomparisons of AOGCM responses to idealised forcing scenarios suggest that, for most scenarios over the coming decades, errors in large - scale temperature projections are likely to increase in proportion to the magnitude of the overall response.

It combines the capacity of generating genetically engineered mouse model on a large scale with a high - throughput and comprehensive phenotypic analysis of the animals.

The ICS is a large - scale facility open to the community that ensures the generation of mouse models à la carte, the validation of genetic models, the expansion and preservation and distribution of models with the housing department, and offers in its phenotyping department a series of standardized functional analysis of mouse models that can be performed in a comprehensive pipeline or on demand, as well as for more specialized studies, that cover the major functions and key physiological systems.

Areas of expertise: National and global - scale conservation, biogeography, ecology, statistical analysis, modeling

Argonne has collaborated with the University of Illinois, teaming up two supercomputers to perform simulation and data analysis of extremely large - scale, computationally intensive models of the universe.

Required capabilities include kinetic turbulence simulations, related three - dimensional fluid simulations with gyro - Landau kinetic extensions, large - scale molecular dynamics simulations of materials, and couplings of lower - dimensional models (for fast analyses) to simulate interactions between zones and particle species.

Examples include capacity planning tools (long - term energy system planning), production cost simulations (large - scale operational impacts on the energy system (e.g., PLEXOS, GridView)-RRB- and fixed price optimization models (near - term business case analysis).

In reality, species - specific process - based modelling remains scarce at the continental and regional scale [33], [36], owing to the difficulties in acquiring and combining data for analysis.

The researchers created the Lagrangian In - situ Global High - performance particle Tracking (LIGHT) analysis module within the Model for Prediction Across Scales Ocean for rapid calculations.

The color scale represents the value of the t statistic for the comparison between meals (n = 11) by using general linear model analyses as described in Subjects and Methods.

The analyses were performed by using linear mixed - effects models on the log scale of hormones.

First, Noble's educational model is broadly consistent with the practices of high - performing charter schools, and our secondary analysis suggests that scaling and reproducing these results is feasible.

While multiple meta - analyses and large - scale research studies have found that models following the bilingual approach can produce better outcomes than ESL models, as measured by general academic content assessments or measures of reading comprehension or skills, other studies indicate that the quality of instructional practices matter as well as the language of instruction.

Niche modeling with finer - scaled sampling and further genetic analysis is needed to test our hypothesis.

The analysis of modern models appear to be fairly good even if most earlier versions were based primarily on large scale processes.

Analysis of simple models and intercomparisons of AOGCM responses to idealised forcing scenarios suggest that, for most scenarios over the coming decades, errors in large - scale temperature projections are likely to increase in proportion to the magnitude of the overall response.

Given that impacts don't scale linearly — that's true both because of the statistics of normal distributions, which imply that (damaging) extremes become much more frequent with small shifts in the mean, and because significant breakpoints such as melting points for sea ice, wet - bulb temperatures too high for human survival, and heat tolerance for the most significant human food crops are all «in play» — the model forecasts using reasonable emissions inputs ought to be more than enough for anyone using sensible risk analysis to know that we making very bad choices right now.

It's important to be clear that these models do not resolve hurricane processes and that the analysis is related to the large scale «background» environment in which hurricanes form.

The methodology and analysis that followed are therefore useful guidelines for regional monitoring programs which suggest that short, regular profiling of different eco-regions supplemented by fine - scale meteorological modelling can be sufficient to characterize the regional dynamics of the carbon cycle.

Attribution analyses normally directly account for errors in the magnitude of the model's pattern of response to different forcings by the inclusion of factors that scale the model responses up or down to best match observed climate changes.

Scaling factors derived from detection analyses can be used to scale predictions of future change by assuming that the fractional error in model predictions of global mean temperature change is constant (Allen et al., 2000, 2002; Allen and Stainforth, 2002; Stott and Kettleborough, 2002).

A first stage would define basic SSPs with the minimum detail and comprehensiveness required to distinguish SSPs in terms of challenges to mitigation and adaptation as described in section 3 and to provide useful input to impact and integrated assessment models, particularly analyses at global or large regional scales.

Topics include scenario planning, resource modeling, community and stakeholder input processes, and analysis of locally produced biofuels, wind and solar energy opportunities (both distributed and large scale), battery storage, and other renewable energy options.

For new technologies the ETA team often starts with a life - cycle energy, water, or materials analysis to understand the technology's impacts when scaled up, and then uses other models as needed, such as an atmospheric chemistry model or energy system model.

An analysis of two coupled atmosphere - ocean general circulation models control runs (UK Met Office HadCM3 and NOAA GFDL CM2.1) agree with the shorter and longer time - scales of Atlantic Meridional Overturning Circulation (AMOC) and temperature fluctuations with periodicities close to those observed.

To describe and understand the physical processes responsible for climate variability and predictability on seasonal, interannual, decadal, and centennial time - scales, through the collection and analysis of observations and the development and application of models of the coupled climate system, in cooperation with other relevant climate - research and observing programmes.

Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability in annual mean sea level over many coastal regions, are an important factor for understanding the uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse - resolution climate models that are also discussed in Chapter 13.

His expertise is in the economic modeling and analysis of energy systems, with experience in both broad - scale energy policy analysis and in detailed financial analysis of private - sector electric power generation assets.

Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis.

Point two suggested an alternative between «This needs to be demonstrated either in the context of a more comprehensive scale analysis that includes the Navier Stokes equations» and «numerical model simulations using mesoscale or weather or climate models.»

Modeling, Validation, and Performance Analysis of a Pilot Scale Solar Thermal Power Plant in Louisiana

The first of the five individual CMIP5 models included in Shindell's analysis, CanESM2, shows negative scaling factors for «other anthropogenic» over all three periods — strongly negative over 1901 — 2010.

The second CMIP5 model in Shindell's analysis, CSIRO - Mk3 -6-0, shows completely unconstrained scaling factors using 1901 — 2010 data, and extremely high scaling factors for both GHG and «other anthropogenic» over both 1861 — 2010 and 1951 — 2010 — so much so that the GHG scaling factor is inconsistent with unity at better than 95 % confidence for the longer period, and at almost 95 % for the shorter period.

Further investigation using high - resolution modeling approaches that better resolve the boundary conditions and fine - scale physical processes (44 ⇓ — 46) and / or using analyses that focus on the underlying large - scale climate dynamics of individual extreme events (8) could help to overcome the limitations of simulated precipitation and temperature in the current generation of global climate models.

Vegetation / ecosystem modelling and analysis project: comparing biogeography and biogeochemistry models in a continental - scale study of terrestrial responses to climate change and CO2 doubling.

The basic results of this climate model analysis are that: (1) it is increase in atmospheric CO2 (and the other minor non-condensing greenhouse gases) that control the greenhouse warming of the climate system; (2) water vapor and clouds are feedback effects that magnify the strength of the greenhouse effect due to the non-condensing greenhouse gases by about a factor of three; (3) the large heat capacity of the ocean and the rate of heat transport into the ocean sets the time scale for the climate system to approach energy balance equilibrium.

Schwartz's analysis depends on assuming that the global temperature time series has a single time scale, and modelling it as a linear trend plus an AR (1) process.

Recent analyses using the CCM3 climate model (Govindasamy and Caldeira, 2000) suggest, however, that a 1.7 % decrease in solar luminosity would closely counterbalance a doubling of CO2 at the regional and seasonal scale (in addition to that at the global and annual scale) despite differences in radiative forcing patterns.»

The analysis might support the result that either models or data at whatever scale chosen are, or not, chaotic in the sense that there exists a small set of components which describe the regional variations (using multiple meanings for the word region).

A model that hypothesized three factors found to provide an excellent fit to the data and the factor analytic results are in agreement with analyses conducted in other researches using UCLA loneliness Scale.