Sentences with phrase «weather model forecasts»

Recent weather model forecasts are suggesting that we may have to keep an eye on the central Pacific — not only the east Pacific — for re-curving storms this autumn (which is not something I can recall having happened before).

Not exact matches

This data allowed Richardson to model a mathematical weather forecast.
The modeling helps scientists deduce important pieces of information for space weather forecasting — in this case, for the first time, the density of the plasma around the shock, in addition to the speed and strength of the energized particles.
«It's impressive, considering that current state - of - the - art numerical weather models, such as NOA's Global Forecast System, or the European Centre for Medium - Range Weather Forecasts» operational model, are only skillful up to one to two weeks in advance,» says paper co-author Cory Baggett, a postdoctoral researcher in the Barnes and Maloney labs.
Regardless of what climate models find, investigating these long - distance links in weather could also pay off by improving risk prediction and forecasts.
Working has greatly slowed down my progress as well: I'm currently working for the National Oceanic and Atmospheric Administration as part of a team trying to predict snowfall rates from satellite and weather forecast model data.
Shelby signaled potential increased spending for NOAA's satellite programs used to prepare weather prediction models and advance weather forecasting capabilities.
To find out more about how meteorologists use forecasting models to get ahead of Mother Nature as well as the limitations of this technology, Scientific American spoke with Thomas Else, chief meteorologist and director of meteorological services and computer programming for Hackettstown, N.J. - based weather forecasting consulting firm Weather Works LLC.
On a basic level, global climate models are similar to today's weather forecasting tools, explains Jerry Meehl, a senior scientist at the National Center for Atmospheric Research in Boulder, Colorado, and a leading climate modeler.
A main obstacle to bringing this kind of powerful climate modelling into standard weather forecasts is computing power.
A new system can provide up to eight - hour forecasts that are updated hourly based on satellite data and weather models
One day, oceanographers hope Spray and other gliders will be able to roam the oceans at will, providing an almost limitless supply of data that could be used to build more sophisticated climate models and develop better weather forecasts.
Once that happens — and its predictive power is validated — the approach could be folded into weather forecast models, researchers say.
This model is widely used by both UK and international groups for research into ocean circulation, climate and marine ecosystems, and operationally as part of the UK Met Office's weather forecasting.
The Scripps Institution of Oceanography in San Diego and Columbia University's Lamont - Doherty Earth Observatory in Palisades, New York, announced today the establishment of a center, the International Research Institute (IRI), that will use cutting - edge climate models to forecast long - term weather changes.
A ClimateWire investigation into the origins of the flood disaster uncovered evidence that points to a calamity caused by man, the cumulative effect of erratic weather forecast by climate change models, massive deforestation, and lax attention to infrastructure maintenance and engineering standards.
«Consequently, global «water vapor winds» are estimated from the movement of these features and used in numerical weather models to improve long - range forecasts,» Chesters said.
Modern weather forecasting relies on complicated computer models of the atmosphere.
Such a wide network of real - time rain gauges could lead to improved weather forecasts, says Hagit Messer - Yaron, who led the study: «Out of better measurements, you can get better models
NOAA was also directed to enter into at least one pilot contract to «assess the potential viability of commercial weather data in its weather modeling and forecasting
Comparing five state - of - the - art weather prediction models, researchers found current models can forecast both where and how much rainfall a tropical cyclone will produce up to two days in advance.
In addition to forecasting the weather, the authors hope that these insights will lead to improved models for global warming, ozone depletion and the effects of volcanic eruptions.
«We are actually the first ones to use data assimilation models in studying mantle deformation, in an approach similar to weather forecasting,» Liu said.
«It's like weather forecasts, but for bionutrients and phytoplankton in the ocean,» said Cecile Rousseaux, an ocean modeler with Goddard's Global Modeling and Assimilation Office.
Their data will be used in computer models to improve weather forecasts, including hurricane tracks and intensities, severe thunderstorms and floods.
The data provides an invaluable record for understanding radiation - belt variability that is key to developing effective space - weather forecasting models.
Forecasting — uses weather models (i.e., Doppler radar) to predict wind speeds and patterns at various altitudes.
Apart from ground stations, weather forecasts are heavily dependent on weather satellites for information to start or «initialize» the numerical weather prediction models that are the foundation of modern weather prediction.
The specific goal of releasing space - weather data from national - security assets such as GPS satellites is to enable broad scientific community engagement in enhancing space - weather model validation and improvements in space - weather forecasting and situational awareness.
EWeLiNE cannnot simply use the NCAR system because weather models and the algorithms that convert weather predictions into power forecasts differ between the United States and Germany.
He says he's confident that the day will come when wildland fires will be forecast using computer models just as accurately as we now can forecast the next day's weather.
«It's like if we have a weather forecast model that gets the rain right in Boston today, but for the wrong reasons,» Follows says.
«But when you look more generally at weather forecasts around the whole world, such as cold fronts and rain showers, the European model is clearly superior.»
Overall, the consensus among meteorologists and other scientists is that the European model is better overall in forecasting weather.
This, in turn, will lead to better models of solar activity and improve the ability to forecast space weather.
When compared to standard weather prediction modeling, Roebber's evolutionary methodology performs particularly well on longer - range forecasts and extreme events, when an accurate forecast is needed the most.
European satellites might be an option — if they are available and produce data in a format compatible with U.S. weather - forecasting models.
I was working for the Omani Meteorological Department when the implementation of a numerical weather forecasting model prompted the need for some local knowledge in numerical weather predictions.
But Klotzbach and other experts say the models, and seasonal forecasts, still provide useful insight into something as unpredictable as extreme weather even if they do not always pan out.
The military satellites can probably survive well beyond 2012, although they do not provide all the data NOAA needs for its weather - forecasting models.
In an attempt to save more lives and livelihoods through improvements in forecasting extreme weather — as well to make preparations to cope with such events — the U.S. National Oceanic and Atmospheric Administration is investing in improved radar systems, more advanced computer modeling and better satellite systems.
This approach is often used to model large and complex systems, such as those in weather forecasts.
The group used the publicly available model, which can be used to forecast future weather, to «hindcast» the conditions that led to the Sept. 9 - 16, 2013 flooding around Boulder, Colorado.
This will be useful for calculating models for weather forecasts or developing new medicine.
Meteorologists have long used a similar technique to integrate atmospheric and oceanic measurements with dynamical models, allowing them to forecast the weather.
On the basis of magnetic data collected in real time and a chain of suitable numerical models it will eventually prove possible, rather as in conventional meteorology, to forecast space weather and prevent the impact of solar storms on Earth.
Jerome Fast led the multi-agency forecasting and modeling team that provided predictions of the weather conditions, the location of the particulate plume downwind of Mexico City, and the extent of plumes from agricultural burning.
By pulling together the maximum possible computer resource, and running these weather forecast models thousands of times — and for alternative carbon dioxide levels — a picture can be built of how often severe storms can be expected.
The project may involve the following topics: — Interaction of the solar wind with magnetised and unmagnetised planets — Space weather forecasts — Numerical (HPC) and analytical modelling of MHD wave processes and jets in solar and astrophysical plasma — MHD wave observations and solar magneto - seismology — Application of advanced data analysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMS (NASA)
One new development is demonstrating the potential predictability of intra-seasonal teleconnections for middle - latitude weather because forecast models only recently started to simulate a close to observed variability of tropics (the tropical forcing).
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