Computers use floating - point math for everything
from weather simulation to putting triangles on screen in video games and Bruce will discuss the...
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.
Based on
simulations using real
weather data in the Atlantic Ocean, the work was focused specifically on the transport of water
from the tropics of the Caribbean to the Iberian Peninsula in Spain, but it suggests a more general way to study the transport of tropical water vapor globally.
For the fourth year in a row it investigates the causes of a wide variety of extreme
weather and climate events
from around the world, including eight studies using
weather@home
simulations.
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.
Luke is a post is a postdoctoral researcher working on the MaRIUS and TITAN projects, using
weather@home
simulations and other event attribution methodologies to investigate the drivers of extreme
weather events
from the early 20th century.
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.
From the gorgeous graphics, dynamic
weather, and largest roster of cars to date; this is the ultimate in racing
simulation and I can't wait to experience this game on the upcoming Xbox One X to see it all in glorious 4K.
Here's the official wording
from the press release: «In a detailed war
simulation it is important to create realistic
weather transitions which in turn have a realistic effect on gameplay and visual effects.
Some features
from the original game like it's LiveTrack
weather and track condition
simulation have been taken to the next level in Project Cars 2.
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.
Starting
from a very similar (but not identical) state, a different
simulation will ensue — with different
weather, different storms, different wind patterns — i.e different wiggles.
The study, combining data
from observed storms with a variety of climate
simulations, did not extend beyond 1999 and so does not assess more recent extreme
weather events.
In either case, LES can also be driven by
weather hindcasts, and the
simulation results can be evaluated against the wealth of observations that are now available, observations both
from space and
from the ground.
They compared historical
weather records, an 1,800 - year - long
simulation of the climate pre-Industrial-Revolution, and 40
simulations of climate change
from 1920 to 2100 (assuming high future greenhouse gas emissions).
(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.)
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.
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.
Type 2 statistical downscaling uses the regression relationships developed for Type 1 statistical downscaling except that the input variables are
from the Type 2
weather (or climate)
simulation.
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 first control
simulation included
weather patterns
from 2000 - 2013.
You wrote, «By comparing the average temperature
from these
simulations to current observation, the author is confusing climate with
weather.»