Sentences with phrase «by weather forecasting models»

Not exact matches

Regardless of what climate models find, investigating these long - distance links in weather could also pay off by improving risk prediction and forecasts.

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.

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.

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)

For example, the United Kingdom's Met Office sells weather forecasts driven by its climate model.

The researchers compared predictions of 22 widely used climate «models» — elaborate schematics that try to forecast how the global weather system will behave — with actual readings gathered by surface stations, weather balloons and orbiting satellites over the past three decades.

It would involve looking at the current weather map for the planet and iterating forward, hour by hour, using weather forecasting models, for twenty years.

The forecast evolved rather suddenly once the weather system moving southeast from Canada was more fully sampled by observing networks, and computer models came around to a more threatening solution.

This suggests that ongoing improvements in model formulation driven primarily by the needs of weather forecasting may lead also to more reliable climate predictions.

These weather systems must be well modelled by meteorologists since they have a pretty good record of short term forecasting.

Just by using the analog patterns of how these drivers of the weather repeat in an interacting interlaced method, results in a long range forecast with greater accuracy than the best models get out past 7 days.

I now work at the Met Office in Exeter where I am assessing how the accuracy of weather forecasts for the next season is affected by how well the stratosphere is represented in the computer model of the climate system we use to make forecasts.

Traditionally numerical weather prediction has advanced progressively by improving single, «deterministic» forecasts with an increasing model accuracy and decreasing initial condition errors.

The fourth question «How robust are the models used by the Met Office for weather forecasting, climate predictions, atmospheric dispersion and other activities?»

The impact of low shortwave fluxes came out well in two - week forecasts of a semi-empirical break - up model forced with output from a long - range weather forecast (contribution by Petrich and Eicken).

Their methodology combines information from weather observations with background information provided by a forecast model.

This study examines the horizontal distribution of cirrus clouds by means of satellite imagery analyses and numerical weather prediction model forecasts.

This is successfully achieved by using sophisticated short term forecasting models that interpret weather information as it affects the wind farm in real time.»

The technique was originally developed to examine the storm tracks produced by atmospheric general circulation models (GCMs), but it is directly applicable to other gridded SLP datasets, such as those derived in weather forecasts or reanalysis projects.

And like its bigger cousin, the Sandwich Tern — already threatened with coastal development and severe weather — is forecast by Audubon's climate model to fare poorly in the face of climate change.