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.