Sentences with phrase «term weather predictions»

It does apply to climate predictions as well as long term weather predictions.

Even short - term weather predictions are never perfectly accurate because weather is a complex phenomenon.

One of the variables affecting short term weather predictions is the Arctic Oscillation (AO).

These far - flung, interconnected weather processes are crucial to making better, longer - term weather predictions than are currently possible.

If passed into law, the federal budget for 2011 that lawmakers will vote on this week will harm key efforts in daily weather forecasting, search - and - rescue operations, and long - term weather prediction, says a top U.S. government official.

Short term weather prediction is actually pretty good.

It is like when Judith focuses on the lack of money for stabilizing and modernizing our capacity for longer - term weather prediction — by pointing to the money spent on studying climate change — as if that were the problem.

Indeed, many of those who most strongly advocate against the kinds of government spending that would enhance our long - term weather prediction capacity fall into political associations that are strongly associated with climate «skepticism.»

As you yourself note, this skews the focus of research to shorter term weather prediction and tying personal stakes to those predictions.

Not exact matches

In terms of the historical future, reason makes acts of belief: predictions about the weather, about the state of business next year, about the chances of achieving an academic degree, etc..

«Current long term predictions indicate that these extreme weather variations will continue and situations such as the current flood events, and disruption caused, underline how adequate maintenance and funding of the network must be a fundamental part of UK transport policy.

The IPCC report does suggest that extreme weather events should be expected as the world warms but the prediction is couched in cautious terms and the risk is assessed as «medium» confidence.

Having data from all three orbits is important, but Mehta says that data from NOAA crafts are uniquely tailored for U.S. weather prediction for short - and medium - term forecasts.

In terms of weather prediction, that means, the «offspring» models improve in accuracy because they block more of the unhelpful attributes.

The statistics of the weather make short term climate prediction very difficult — particularly for climate models that are not run with any kind of initialization for observations — this has been said over and over.

Although ultimately chaos will kill a weather forecast, this does not necessarily prevent long - term prediction of the climate.

Or this false construction: «Although ultimately chaos will kill a weather forecast, this does not necessarily prevent long - term prediction of the climate.

Re # 104 — «Well, weather prediction is much less certain than climate prediction, since even small «butterflies beating their wings in South America» can effect change in short - term atmospheric processes.»

Well, weather prediction is much less certain than climate prediction, since even small «butterflies beating their wings in South America» can effect change in short - term atmospheric processes.

One does not have to be skeptical about the science of global warming to be skeptical of excessively «certain» long term predictions that involve weather and climate, the ultimate chaotic system that can not be accurately predicted.

Sea surface temperature (SST) measured from Earth Observation Satellites in considerable spatial detail and at high frequency, is increasingly required for use in the context of operational monitoring and forecasting of the ocean, for assimilation into coupled ocean - atmosphere model systems and for applications in short - term numerical weather prediction and longer term climate change detection.

This capability would enable a model to continuously update and improve parameterization approaches on the fly, with the potential to improve climate predictions and short - term weather forecasts.

For instance, T. Palmer, a scientist at the European center for medium - range weather forecast, writes in the journal «Weather» that climate predictions using GCMs could be grossly misleading because the computer simulations may be unable to accurately predict long - term changes in the frequency of weather patterns.

Chief we should think of weather and climate predictions in terms of equations whose basic prognostic variables are probability densities ρ (X, t) where X denotes some climatic variable and t denoted time.

Namely long term (as in 10 days) weather prediction, and more specifically hurricane tracking.

Type 1 downscaling is used for short - term, numerical weather prediction.

As far as weather (and hence climate) predictions are concerned, it is difficult to achieve better results than the persistence prediction in the short term

The source of much of this confusion appears to be in the assumption by the IPCC and others, that while weather prediction is an initial value problem, climate prediction (on multi-decadal time periods) is a boundary value problem; the term «projection» then being reserved for the later.

The 2001 Intergovernmental Panel on Climate Change (IPCC) Report that governments accept as certain predictions of future weather says, «In climate research and modeling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.»

But perhaps what I should have said was «reliably accurate long term predictions of chaotic phenomena like weather, politics, or social change».

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.

Weather is predictable for a week or so — initialised and nested models at different scales may be able to integrate weather into short term climate prediction.

Fundamentally, therefore, therefore we should think of weather and climate predictions in terms of equations whose basic prognostic variables are probability densities ρ (X, t) where X denotes some climatic variable and t denoted time.

Linearity can be a useful approximation for short - term effects when changes are small as in some weather forecasting, but certainly not for the long - term predictions from climate models.

Dr. John O. Roads, the director of the experimental climate prediction center at Scripps, said that new work is showing that there are plenty of other subtle influences on long - term weather that should eventually improve predictions, even in years without the strong influence from the Pacific.

Some attendees at the breakout group argued forcefully that an advanced sounder with HES - like capabilities would revolutionize short - term prediction, most notably of severe weather.

The statistics of the weather make short term climate prediction very difficult — particularly for climate models that are not run with any kind of initialization for observations — this has been said over and over.

While weather predictions and long - term climate are very complex and beyond the author's expertise, he feels the single issue of heat absorption and radiation due to carbon dioxide is much simpler, well understood, and better modeled and measured as proposed here.