Sentences with phrase «observations and modelling results»

However, an inconsistency remains for the tropical troposphere, where observations and model results continue to be in contention.

Ice shelf disintegration by plate bending and hydro - fracture: Satellite observations and model results of the 2008 Wilkins ice shelf break - ups.

But recent observations and model results done in the context of the annular modes suggest the coupling is two - way.

We have learned that data access and archival of climate observation and modeling results needs to be better communicated and more transparent.

Not exact matches

By validating model results against geological observations, the study indicates that changes in runoff, sea level and wave energy have profoundly affected the past evolution of the Great Barrier Reef not only in regard to reefs evolution but also sediment fate from source - to - sink.

Much of this research builds on the past work of the team members, and the modeling results help put together some of the observations that seemed contradictory.

Under the assumptions of their model, the team quantified the dynamics all over the exposed ocular surface, and the results agreed well with in vivo observations of the tear film gained from fluorescence imaging.

«Our results are based on a realistic modelling of the accretion of gas onto the black holes, and of the radiation they emit, which is compatible with current astronomical observations.

By comparing the models to recent observations of clusters in the Milky Way galaxy and beyond, the results show that Advanced LIGO (Laser Interferometer Gravitational - Wave Observatory) could eventually see more than 100 binary black hole mergers per year.

The results of existing experiments have varied widely, and they don't align with predictions of olivine strength from geophysical models and observations.

In February, Australian and American researchers who compared ocean and climate modeling results with weather observations published findings in Nature Climate Change advancing earlier studies that explored the oscillation's global influence.

Faced with such ignorance of the nature of dark matter, astronomers try inputting different models of the dark matter into the simulations and see if the results match the observations.

Model results and observations both indicate warming of the world ocean from 1955 to 2003.

Observations of gravitational lensing at that time already hinted the presence of dark energy, but both due to the small sample size and large uncertainty in the theoretical modeling of lensing rates the result was not widely accepted.

«However, even in very high resolution models, there can be large differences between model results and observations,» said Ma.

For the earlier generation of models, results are based on the archived output from control runs (specifically, the first 30 years, in the case of temperature, and the first 20 years for the other fields), and for the recent generation models, results are based on the 20th - century simulations with climatological periods selected to correspond with observations.

Then they tested the model results using the comprehensive ground and aircraft measurements gathered during the 2006 Megacity Initiative: Local and Global Research Observations in Mexico City.

To get their results the researchers used sophisticated ice sheet and climate models and verified their results with independent geological observations from the oceans off Antarctica.

Professor of Economics and Research Chair in Energy, Ecology and Prosperity at the Frontier Centre for Public Policy Dr. Ross McKitrick discusses the wide disparities between the expected results of climate models and real - life observations, during an in - depth interview for The New Criterion by Ben Weingarten

Based on model experiments, it has been suggested that errors resulting from the highly inhomogeneous distribution of ocean observations in space and time (see Appendix 5.

Minschwaner, K., and A.E. Dessler, 2004: Water vapor feedback in the tropical upper troposphere: model results and observations.

The effort uses innovative ARM radar observations from the MC3E field campaign to evaluate a series of high - resolution simulations, which results in an improved understanding of cloud transitions and how to diagnose these transitions in models.

Another approach uses the response of climate models, most often simple climate models or Earth System Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., models, most often simple climate models or Earth System Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., models or Earth System Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., 2006).

The photodetector array camera and spectrometer (PACS) aboard the Herschel Space Observatory allows imaging observations in the far infrared at unprecedented resolution, i.e. at better than 6» to 12» over the wavelength range of 60 -LCB- \ mu -RCB- m to 210 -LCB- \ mu -RCB- m. Together with the results from ground - based observations, these spatially resolved data can be modelled to determine the nature of the debris and its evolution more reliably than would be possible from unresolved data alone.

Excluding participants who reported a doctor diagnosis of depression at each baseline strengthened the association (Model 4 for CMD after 5 years, Person observations = 10944; highest vs. lowest tertile OR; 1.25; 95 % CI 1.03, 1.50; P for trend = 0.02, Supplementary Table S2) and exclusion of person observations with extremely high sugar intakes did not affect the results.

And in all 8 models the point estimates suggest that a standard deviation improvement in classroom observation or student survey results is associated with less than a.1 standard deviation increase in test score gains.

As Director, Ms. White modeled best - practices with managers in classroom observations and teacher coaching conversations, maintained key district and community relationships, and coached corps members to diagnose needs based on student progress, resulting in a cohort of first - year English teachers «significantly exceeding growth» on Common Core - aligned state assessments.

It's something of an abstract concept, but with real world implications, and the universality of such physical models, based on things like radiative balance, atmospheric composition and density, distance from the local Sun, etc., is a very strong argument in favor of general acceptance of the results of climate models and observations on Earth.

The common EOF method extracts identical spatial pattern in the model results and the observations, and utilizes time series of weights describing their evolution in time.

Regarding all these hypotheticals of Earth - ssytem timescale feedbacks, etc - before results are brought forward with high confidence and reach a level of minimal academic disagreement, they should be understood physically, be exhibited in a range of models from simple to complex, begin to emerge in observations against natural variability, are shown to be robust to methodological choices and interpretation, and are borne out paleoclimatically.

In both of these cases, models produce very disparate results, the theory is not yet fully developed and observations are ambiguous.

I talked only about the topic of this post, which is: the mismatch betweem model results and observations, and it's implication for model uncertainty (since the mismatch can not be attributed to observation errors).

However, we have addressed the criticisms and have shown that the results remain — especially the profound disconnect between models and observations.

Model results and observations both indicate warming of the world ocean from 1955 to 2003.

With the latest round of modelling results now having been performed and archived for the IPCC 4th Assessment Report, the time is appropriate to revisit the question with more up - to - date models and observations.

However, we know that modeling results can not prove or disprove real observations because modeling always assumes significant simplification and should be validated with observational data, not vice versa.

A series of sensitivity tests show that our detection results are robust to observational data coverage change, interpolation methods, influence of natural climate variability on observations, and different model sampling (see Supplementary Information).

These models, with the resulting feedbacks, mimick observations and are consistent with physics and are therefore useful tools in trying to understand both what is currently happening and what will happen in the future.

Miskolczi has taken this approach by writing yet another incoherent paper where inaccurate empirical observations and approximate properties of model calculations are put together claiming that the result is a new exact law of nature.

Consequently, short of waiting until after climate change has occurred, the best guide we have for judging model reliability is to compare model results with observations of present and past climates.Our lack of knowledge about the real climate makes it difficult to verify models.

As you clearly know, nothing could be more important than understanding and propagating error when evaluating the level of quantitative knowledge yielded by some experiment, observation, or sequential calculation — including use of a model to predict a result.

The scientists, using computer models, compared their results with observations and concluded that global average annual temperatures have been lower than they would otherwise have been because of the oscillation.

Proshutinsky, A. et al. including M. Steele and J. Zhang, «Arctic Ocean study: Synthesis of model results and observations», EOS, 40 (4), 2005.

These observations, together with computer model simulations and historical climate reconstructions from ice cores, ocean sediments and tree rings all provide strong evidence that the majority of the warming over the past century is a result of human activities.

Overall, this results in an impressively small model spread around observations over the historical record and a relatively constrained spread for each of the individual future projections.

Data from in situ measurements made at high - altitude stations in the HKH region, observations from satellitebased instruments, and global climate modeling study results are discussed.

According to KNMI the model results are comparable to other observations of the El Niño Southern Oscillation (ENSO) and ocean layer mixing over the past decade.

The method combines the results of long - term atmospheric reanalyses downscaled with a stochastic statistical method and homogenized station observations to derive the meteorological forcing needed for hydrological modeling.

This paper covers the historical experiments — comparing model results from 850-2005 to observations and proxy reconstructions — as well as some idealized experiments designed to measure metrics such as climate sensitivity, transient climate response, and carbon cycle feedbacks.

My understanding is that the latest research on what PBL calls «Temperature trend versus UAH results» and I might call the «phantom hot - spot in the upper tropical troposphere» indicates that observations currently invalidate climate models.