Sentences with phrase «nao models»

The first few of the Nao models are designed to test how effective the humanoid can be at branches, with Mitsubishi convinced that Nao can even handle tricky customers.

But showing that robots — in this case, off - the - shelf Nao models — can tackle logical puzzles requiring an element of self - awareness is an important step towards building machines that understand their place in the world.

Not exact matches

Although they are much less powerful than the industrial models from Universal Robots, IOActive released a video of a test in which an otherwise cute NAO robot suddenly begins laughing in an evil and maniacal way and uses a screwdriver to repeatedly stab a tomato.

«The department was warned repeatedly about the lack of a detailed «blueprint», «architecture» or «target operating model» for universal credit,» says the NAO report.

Using the sophisticated UK Met Office climate model, Dr Screen conducted computer experiments to study the effects of Arctic sea - ice loss on the NAO and on Northern European winter temperatures.

What is visible is the influence of the NAO... See: aerosols: model and stations compared.

An NAO - based linear model is therefore established to predict the NHT, which gives an excellent hindcast for NHT in 1971 - 2011 with the recent flat trend well predicted.

But as much as I love the Earth - invading, Gundam - model - building alien frogs, my pick this week has to go to Moon and Blood, a new series by Nao Yazawa just from Digital Manga Publishing.

Natural climate variability of the Arctic atmosphere, the impact of Greenland and PBL stability changes K. Dethloff *, A. Rinke *, W. Dorn *, D. Handorf *, J. H. Christensen ** * AWI Potsdam, ** DMI Copenhagen Unforced and forced long - term model integrations from 500 to 1000 years with global coupled atmosphere - ocean - sea - ice models have been analysed in order to find out whether the different models are able to simulate the North Atlantic Oscillation (NAO) similar to the real atmosphere.

Variability in the tracks on a year by year basis, for instance, as diagnosed by the models NAO index resembles that observed, explaining about the same amount of variability as observed.

On the other hand, if much of that warming was due to pseudo oscillations not included in the models (AO, NAO, AMO, ENSO, PDO, etc) then their projections may be less valid.

Is it conceivable that the best actual climate models, only with the basic laws of fluid thermodynamics, could reproduce a climate variability such ENSO, AMO, NAO,..., or is there the need of parametrization?

The response to the model to varied snow cover did not resemble the PNA pattern but instead was much closer an atmospheric pattern associated with the NAO (North Atlantic Oscillation) or AO / NAM (Arctic Oscillation or Northern Annular Mode).

2) Another way would be to carry out a process - oriented comparison, wherein one focuses on a set of processes or natural variabilities (e.g. ENSO, NAO or Indian Ocean Dipole) and investigate how good a particular model reproduces climatology of certain variables during those processes / variabilities (in reference to similar climatology from the satellites).

Ironically, while some continue to attack this nearly decade - old work, the actual scientific community has moved well beyond the earlier studies, focusing now on the detailed patterns of modeled and reconstructed climate changes in past centuries, and insights into the roles of external forcing and internal modes of variability (such as the North Atlantic Oscillation or «NAO» and the «El Nino / Southern Oscillation» or «ENSO») in explaining this past variability.

The global climate models (GCMs) are for all intents and purposes able to simulate observed natural variations such as the North Atlantic Oscillation (NAO) and Atlantic Meridional Overturning Circulation (AMOC).

How are changes in the the NAO and PDO modeled that can speed / slow the intrusion of warmer waters into the Arctic.

Look, I do not claim that climate models are perfect — far from it — but their matches to observed data at the large scale are impressive — Pinatubo, last 30 years, response to ENSO, NAO response, sea ice response, ozone hole response etc..

No all the models predict lowering Arctic pressure and increasing positive AO / NAO conditions, which cools the Arctic and increases ice extent.

To study the historical evolution of the arctic system, 1948 - 2003 reanalysis data with varying NAO / AO indices will be input into the model.

We present an integrated modeling study designed to investigate changes in ecosystem level phenology over Europe associated with changes in climate pattern, by the North Atlantic Oscillation (NAO).

Using a model developed from previous work we performed climate change scenarios, generating synthetic temperature and GDD distributions under a hypothetically increasing NAO.

On the question of hurricanes, the theoretical arguments that more energy and water vapor in the atmosphere should lead to stronger storms are really sound (after all, storm intensity increases going from pole toward equator), but determining precisely how human influences (so including GHGs [greenhouse gases] and aerosols, and land cover change) should be changing hurricanes in a system where there are natural external (solar and volcanoes) and internal (e.g., ENSO, NAO [El Nino - Southern Oscillation, North Atlantic Oscillation]-RRB- influences is quite problematic — our climate models are just not good enough yet to carry out the types of sensitivity tests that have been done using limited area hurricane models run for relatively short times.

They constructed a numerical network model from 4 observed ocean and climate indices — ENSO, PDO, the North Atlantic Oscillation (NAO) and the Pacific Northwest Anomaly (PNA)-- thus capturing most of the major modes of climate variability in the period 1900 — 2000.

My Reply - Even IF the climate model could predict the current statistics of the occurrence of ENSO, the NAO, the PDO, etc [which is proving quite a daunting challenge], this, by itself is not sufficient to justify their use to provide projection of CHANGES in the statistics of ENSO, the NAO, the PDO, etc events in the coming decades.

Models are increasingly good in simulating ENSO, NAO, but the predictability of these phenomena remains to be limited owing to unpredictable components in the forcings and dynamics.

It appears we agree on the inability of the global models to simulate the natural variations on decadal and, presumably longer time scales, of large scale circulation patterns such as ENSO, the PDO, the NAO etc..

These models I agree with, increases in climate forcing should increase positive NAO / AO, higher solar does.

AMO and Arctic warming is negative NAO driven, rising CO2 is modeled to increase positive NAO.

For instance, during the «snowmageddon» winter of 2009/2010, the NAO was at a near record low value... «Given our modelling result, these cold winters were probably exacerbated by the recent prolonged and anomalously low solar minimum.

According to their modeling studies, the difference in the amount of incoming solar radiation, in this case, primarily in the ultraviolet (UV) wavelengths, during the minima and maxima of the 11 - yr solar cycle are large enough to produce a characteristic change in the winter circulation pattern of the atmosphere over North America... When the NAO is in its negative phase, more cold air can seep south from the Arctic and impact the lower latitudes of Europe and the eastern U.S., which helps spin up winter storm systems.

Rising GHG's are modeled to increase positive NAO / AO, that won't warm the AMO and Arctic, they warmed since the mid 1990's because of increased negative NAO / AO.

In this way, we can obtain the expected range of projected climate trends using the interannual statistics of the observed NAO record in combination with the model's radiatively - forced response (given by the ensemble - mean of the 40 simulations).

To see how well this relationship holds for the model's NAO in the absence of climate change, we make use of the 2200 - year coupled (CESM1) pre-industrial control simulation described in Sect. 2.1.

This approach provides a hybrid assessment of the combined influence of anthropogenic climate change [determined from the ensemble - mean of the CESM - LE or from the multi-model Coupled Model Intercomparison Project phase 5 (CMIP5) archive (Taylor et al. 2012)-RSB- and observed NAO variability on climate over the coming decades.

It is worth noting that the average interannual characteristics of the model's NAO and associated SAT and P impacts do not change appreciably between the pre-industrial period (as given by the coupled control simulation: recall Fig. 6a, c) and the historical (Fig. 5a, c) or future (2016 — 2045: Figs.

Given that the model's low - frequency NAO variability is almost entirely internally - generated, and if the same is true for observations, then the chronologies of the simulated and observed NAO time series need not match.

The reasons for the regional differences in historical scaled - interannual and future 30 - year trend regressions are unclear, since as noted above the model's interannual NAO variability does not appear to be affected by climate change between 1850 and 2045.

This range of uncertainty on the simulated NAO and its climate impacts cautions against over-interpreting results based on «only» 93 - years of data, be it from a model run or from nature.

The results of this observationally - based estimate are similar to those obtained directly from the CESM ensemble, attesting to the fidelity of the model's representation of the NAO and the utility of this approach.

These NAO «book - ends» provide an estimate of the 5 — 95 % range of uncertainty in projected trends due to internal variability of the NAO based on observations superimposed upon model estimates of human - induced climate change.

This indicates that internal variability will dominate over the forced response for NAO trends over the next 30 years, regardless of whether the forced response is estimated from the ensemble - mean of the CESM - LE or the CMIP5 models.

However, for the model to be realistic, its range of NAO patterns and amplitudes must span the one «realization» from nature.

We find that the expected 95 % range of future climate trends induced by NAO fluctuations estimated from the observed statistics of the NAO and the modeled response to increased GHGs is largely similar to that obtained from the CESM - LE directly, attesting to the fidelity of the model's representation of the NAO and the utility of this approach.

If they can be inferred to a reasonable degree, then one can use the observed characteristics of interannual NAO variability to estimate the error on future NAO trends, rather than relying solely on the model.

The consensus of circulation models is inherently contrary to AMO warming anyway, with AMO warming being - NAO driven, but rising greenhouse gases expected to increase positive NAO.

The North Atlantic Oscillation (NAO) is an important source of climate variability in the Northern Hemisphere; here, a model - tested reconstruction of the NAO for the past millennium reveals that positive NAO phases were predominant during the thirteenth and fourteenth centuries, but not during the whole medieval period.

Some climate models of the Last Interglacial suggest that a high - index state of the North Atlantic Oscillation (NAO) was favoured due to the configuration of orbital parameters.

The findings are confirmed by a superposed epoch analysis of the NAO index for each model.

Cook, B.I., Mann, M.E., D'Odorico, P., Smith, T.M., Statistical Simulation of the Influence of the NAO on European Winter Surface Temperatures: Applications to Phenological Modeling, Journal of Geophysical Research, 109, D16106, doi: 10.1029 / 2003JD004305, 2004.