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).