Sentences with phrase «weather model simulation»

For those that don't know, a «reanalysis» is a climate or weather model simulation of the past that includes data assimilation of historical observations.

Not exact matches

When Mother Nature wields her fury through natural disasters such as tornadoes, hurricanes and earthquakes, weather forecasters and emergency personnel alert local communities based on input they've received from event modeling and simulations.
To see whether this increase in crops has influenced the region's unusual weather, researchers at the Massachusetts Institute of Technology in Cambridge used computers to model five different 30 - year climate simulations, based on data from 1982 to 2011.
According to Yousuke Sato of the RIKEN Advanced Institute for Computational Science (AICS), «this research shows that powerful supercomputers, by performing more fine - grained simulations, can help us to model weather and climate patterns in a more realistic way.
Scientists conducted 1,000 model simulations using future weather variables to predict future reproductive parameters for this species.
«Most crop yield simulation models currently in use are not yet suitable for the impact assessment of the various adverse weather conditions or extreme events.
«Climate models have improved greatly in the last 10 years, which allows us to look in detail at the simulation of daily weather rather than just monthly averages,» said Pierce.
Extreme - weather researcher Daniel Swain and associate professor Noah Diffenbaugh ran simulations using climate models.
New and unique model simulations have also been made available through the MaRIUS project under which CPDN created a very large ensemble of possible weather and extreme weather in Europe from the beginning of the 20th century up to the end of the 21st.
Phillips, T.J., et al., 2004: Evaluating parameterizations in general circulation models: Climate simulation meets weather prediction.
Scientists at Lawrence Livermore National Laboratory within the Atmospheric, Earth, and Energy Division, along with collaborators from the U.K. Met Office and other modeling centers around the world, organized an international multi-model intercomparison project, name CAUSES (Clouds Above the United States and Errors at the Surface), to identify possible causes for the large warm surface air temperature bias seen in many weather forecast and climate model simulations.
The model weather is the part of the solution (usually high frequency and small scale) that is uncorrelated with another simulation in the same ensemble.
The authors compared recently constructed temperature data sets from Antarctica, based on data from ice cores and ground weather stations, to 20th century simulations from computer models used by scientists to simulate global climate.
It's not just the observational systems, but also the fact that we often can identicfy in weather forecasts (model simulations) conditions that are favourale for such storms, so that we know in advance when too keep a watchful eye.
Latest supercomputers enable high - resolution climate models, truer simulation of extreme weather
(Note that some of these differences also result from random weather variations, and therefore do not represent true differences among model responses to greenhouse gas increases, but nevertheless can lead to different simulation results.)
Beyond that, the atmospheric pressures over the eastern Pacific Ocean that govern California's weather seem to strengthen in the model simulations.
We use the large - eddy simulation code PyCLES to simulate the dynamics of clouds and boundary layers, to elucidate their response to climate changes, and to develop closure schemes for representing their smaller - scale dynamics in larger - scale climate and weather forecasting models.
As the Swedish climate scientist Lennart Bengtsson has written, «there are no indications of extreme weather in the model simulations, and even less so in current observations.»
Accurate assessment of the influence of external climate drivers requires explicit modelling of impact risk, not simply weather risk, so the project team works with impact modellers across Africa to assess the implications of our weather simulations for changing impact risk.
To see whether this increase in crops has influenced the region's unusual weather, researchers at the Massachusetts Institute of Technology in Cambridge used computers to model five different 30 - year climate simulations, based on data from 1982 to 2011.
Across model simulations, the correlations vary widely due to the chaotic weather component in any short - term record.
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.
Would any model simulation (e.g. also a weather forecast) have skill according to this definition?
In my experience this is certainly the case if you talk about the simulations as predictions rather than projections — the climate models are not predicting what the weather will be on the 5th of May 2051 — they are providing projections of the climate based on emission scenarios and initial conditions.
A unified treatment of weather and climate models (i.e. the same dynamical cores for the atmosphere and ocean are used for models across the range of time scales) transfers confidence from the weather and seasonal climate forecast models to the climate models used in century scale simulations.
The model simulations were analyzed to see how frequently that weather pattern occurred and how much rain fell over the UK.
Good statistics require a lot of samples, so to look at the English flooding, a climate model was used to generate more than 130,000 simulations of weather in the region.
Computer programmers purposefully coded the climate model simulations to produce ENSO events that increased both in frequency and intensity, with stronger El Niños leading to more severe weather results.
MONITOR PRODUCTION With weather records, model simulation, and data collection, authorities can accurately project production levels, compare them with the number of products that actually end up in the market chain, and see whether supplies exceed the expected totals.
40 years ago there were no computational models or simulations of weather.
He has made fundamental contributions to the mathematical and physical foundations of computer models for the dynamics of fluid flows, for weather prediction, and for climate simulation.
JIGSAW (GEO) is a set of algorithms designed to generate complex, variable resolution unstructured meshes for geophysical modelling applications, including: global ocean and atmospheric simulation, numerical weather prediction, coastal ocean modelling and ice - sheet dynamics.
Point two suggested an alternative between «This needs to be demonstrated either in the context of a more comprehensive scale analysis that includes the Navier Stokes equations» and «numerical model simulations using mesoscale or weather or climate models
Canadian climate model simulations of mid-troposphere 300 mbar tropical temperatures and weather balloon observations.
The weather prediction model used in this research is advantageous because it assesses details about future climate at a smaller geographic scale than global models, providing reliable simulations not only on the amounts of summer precipitation, but also on its frequency and timing.
The simulations were produced using a widely - used weather prediction model coupled to a global model developed by NASA's Goddard Institute for Space Studies.
The main outcomes of the ACCLIM project included; (i) return periods of extreme weather events based on observations at twelve weather stations, (ii) climate scenarios and probabilistic estimates of changes in climate over Finland based on an analysis of global and regional climate model simulations, (iii) guidance in the use of climate information in climate change impacts and adaptation research.
Researchers project future climate using climate models — computer - based numerical simulations that use the equations for fluid dynamics and energy transfer to represent atmospheric weather patterns and ocean circulation.
• Attention to the simulation of «weather» by climate models, thus accounting simultaneously for the verification of the so - called «fast» and «slow» time - scale processes.
Better atmospheric model simulations give planners the tools to forecast the probability of extreme weather and climate events.
Synoptic weather features over West Africa were studied in simulations by the regional simulation model (RM) at the NASA / Goddard Institute for Space Studies.
Furthermore, a single model may give different answers for the future temperature over North America, depending on which day is used to describe the weather at the starting point of the model simulation (Deser et al., 2012).
Modern computer simulation and modeling also allow us to better navigate around inclement weather conditions.
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