Sentences with phrase «which weather prediction»

The volunteers gradually learned, on the basis of the feedback, which card combination stands for which weather prediction.

Not exact matches

«These scientists combined citizen science observations with data from radar, satellites and weather predictions to understand the cues birds use in their migrations across continents,» said Liz Blood, program director in the National Science Foundation's Division of Environmental Biology, which funded the research through NSF's MacroSystems Biology Program.

Artificial intelligence, which emulates the information processing function of the brain that can quickly execute complex and complicated tasks such as image recognition and weather prediction, has attracted growing attention and has already been partly put to practical use.

One classic example of chaos theory is the weather, in which a relatively small change in one part of the system is enough to foil predictions — and vacation plans — anywhere on the globe.

A new buzz - word is the concept of «seamless prediction», in which predictions ranging from nowcasting all the way to future scenarios are provided with a sliding time scale and that doesn't make distinction of incremental types such as «weather forecasts» «seasonal predictions» and «climate scenarios».

Last year's melt isn't some death - blow to the idea of modeling, particularly because there is an accepted hypothesis (the pro-icemelt weather conditions) which supplements the model predictions to explain what we observed.

We know that when James Hansen made his famous predictions to congress in 1988 that he didn't know he was comparing a period, which was in the warm end of a sixty year PDO weather cycle with periods in the cool end.

I create parameterizations of land - atmosphere interactions which are incorporated into climate models and numerical weather prediction models.

The chaotic nature of atmospheric solutions of the Navier - Stokes equations for fluid flow has great impact on weather forecasting (which we discuss first), but the evidence suggests that it has much less importance for climate prediction.

In making its seasonal prediction, forecasters cautioned that there are large portions of the country for which there are no clear indications whether it will be a warmer, colder, wetter, or drier than average winter, largely due to a fickle El Niño event that may have petered out too early to have much of an impact on North American winter weather.

Natural day - to - day weather variation is a chaotic system, which makes it very difficult to make accurate predictions of its behaviour more than the few days out.

Axel Schweiger wrote, that we had just a couple of warm springs, which caused the deviation from the GCM predictions, and this is one interesting point: Is this «couple o» warm springs» really something coming and going like any cyclone, or is it a sign of a changing weather regime with stronger mixing and stronger heat transport?

This claim is complemented with a broad literature synthesis of past work in numerical weather prediction, observations, dynamical theory, and modeling in the central U.S. Importantly, the discussion also distills some notoriously confusing aspects of the super-parameterization approach into clear language and diagrams, which are a constructive contribution to the literature.

It began with a discussion on a topic on which they agreed — how the U.S. had fallen behind Europe in numerical weather prediction.

«The IRI and other centers have been issuing seasonal climate predictions routinely since the late 1990s, but prediction on the subseasonal range — which fills the gap between weather forecasts and seasonal forecasts — is an emerging area of research,» Robertson told the IRI.

I am convinced that climate science should focus more on getting regional meteorological predictions of weather extended to cover up to 12 weeks, which will be of far greater use and benefit for communities around the globe.

Type 2 dynamic downscaling refers to regional weather (or climate) simulations in which the regional model's initial atmospheric conditions are forgotten (i.e., the predictions do not depend on the specific initial conditions), but results still depend on the lateral boundary conditions from a global numerical weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a global reanalysis.

Projections of these changes of risk using models in which changes in the background climate are incorporated, and applied using models that do a fair job at the short time scale (like high resolution weather prediction, or hydrological discharge, or...) is thus a viable procedure, and does yield added value.

Here are my climate change predictions bases on my own model (which I won't share with anybody because they might either try and take the credit for it or try and find something wrong with it) and on no data at all beyond vague memories of weather I have experienced and what I remember reading.

That requires considerable sensitivity research with state - of - the art numerical weather prediction (and climate) models... This hand - waving theory may not hold up when a rigorous scientific hypothesis is tested, yet McKibben does not provide a citation or reference aside from Masters» quotations, which are not peer - reviewed in the slightest.»

In other words, weather really isn't a reliable indicator of long - term climate trends — but that isn't going to stop Walsh and his ilk from making sweeping predictions and (which is much more important) insisting upon sweeping policy changes just in case they turn out to be right one of these millennia.

Gcm can not resolve at mesoscale levels (which is the scale length of weather systems) which makes prediction both difficult and problematic as when the coarse grain resolution is enhanced we move beyond the physical laws per se.

The European Centre for Medium - Range Weather Forecasts (ECMWF) is an international organisation which specialises in numerical weather prediction and is supported by many European states.

The World Meteorological Organization on Monday said it had «kicked off» a two - year science blitz called the «Year of Polar Prediction,» which aims to deploy new instruments to help close research gaps and improve the accuracy of weather predictions.

Essentially you run a weather prediction model which is physics.

Foundation Science brings together those areas of Research and Development which are fundamental to Met Office excellence across both weather and climate prediction.

«Prediction of weather and climate are necessarily uncertain: our observations of weather and climate are uncertain, the models into which we assimilate this data and predict the future are uncertain, and external effects such as volcanoes and anthropogenic greenhouse emissions are also uncertain.

Much of this progress is due to advances in numerical weather prediction, that is, the use of computer models which approximate the fluid motions of the atmosphere to create forecasts of the weather at some time in the future.

The Working Group on Numerical Experimentation (WGNE), jointly established by the WCRP Joint Scientific Committee (WCRP - JSC) and the WMO Commission for Atmospheric Sciences (CAS), which is responsible for WWRP and GAW, has the responsibility of fostering the development of atmospheric circulation models for use in weather, climate, water and environmental prediction on all time scales and diagnosing and resolving shortcomings (WMO / TD 121).

He said the company's supercomputer is «not nearly as big as what [the National Centers for Environmental Prediction] has,» but it's almost exclusively devoted to the weather model — unlike the government's computer, which is split among multiple tasks.

The developers of the app realized that the information coming from the temperature sensors in users» smartphones batteries, which helps to make sure the battery doesn't overheat, could be used to make weather predictions for the area they were in.

For example, the same paper which had praised Ekholm back in 1902 now wrote «[How] easy it is for the most uneducated to confirm the amazing correlation between the curve he has calculated for this year and the observed temperature... Mr. Strömberg's reputation as an authority on the weather has got further support...» Accordingly, the paper bought his predictions for November and December 1902, evaluating them in a series of articles.

Lorenz is most famous scientifically for discovering the exquisite sensitivity to initial conditions (i.e. chaos) in a simple model of fluid convection, which serves as an archetype for the weather prediction problem.

In the present study, we follow the same philosophy in the definition of reliability and interpretation of the rank histogram as Y12, which is analogous to how it is commonly used in numerical weather prediction.

We use the rank histogram approach (AH10, Y12) which is often used in the field of numerical weather prediction (Jolliffe and Primo 2008, hereafter JP08).