As part of a European project (High Resolution Ten -
Year Climate Simulations, HIRETYCS, 1998), it was found that increases in horizontal resolution did not produce systematic improvements in model simulations and any improvements found were of modest amplitude.
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.
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.
In a 150 -
year climate simulation, researchers expected that heat radiating off of West African dust would reduce ocean cloud cover.
Not exact matches
In the Department of Meteorology at Stockholm University (MISU), researchers have done a series of model
simulations investigating tropical cyclone activity during an earlier warm
climate, the mid-Holocene, 6,000
years ago.
When scientists use
climate models for attribution studies, they first run
simulations with estimates of only «natural»
climate influences over the past 100
years, such as changes in solar output and major volcanic eruptions.
Over the past forty
years, the ice cover in summer has shrunk by more than half, with
climate model
simulations predicting that the remaining half might be gone by mid-century unless greenhouse gas emissions are reduced rapidly.
Research reported earlier this
year hinted that events in the stratosphere might directly affect the oceans, but those findings were based on a single
climate model and a computer
simulation that modeled the stratosphere for a relatively short 260
years.
«Our temperature estimates and the NCAR
simulations were within one - quarter of one degree Fahrenheit, on average, for the last 11,000
years,» says Shuman, as he pointed to a graph that included a black line for his group's
climate research temperature and a gray line that represents the computer
simulations.
«
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.
A 2000 -
year transient
climate simulation with the Community Climate System Model shows the same temperature sensitivity to changes in insolation as does our proxy reconstruction, supporting the inference that this long - term trend was caused by the steady orbitally driven reduction in summer inso
climate simulation with the Community
Climate System Model shows the same temperature sensitivity to changes in insolation as does our proxy reconstruction, supporting the inference that this long - term trend was caused by the steady orbitally driven reduction in summer inso
Climate System Model shows the same temperature sensitivity to changes in insolation as does our proxy reconstruction, supporting the inference that this long - term trend was caused by the steady orbitally driven reduction in summer insolation.
The study, published online today in Nature Communications, used sophisticated
climate model
simulations to show that El Niño tends to peak during the
year after large volcanic eruptions like the one at Mount Pinatubo in the Philippines in 1991.
O'Gorman and his team used computer
simulations of daily snowfall to project
climate change over a 100 -
year period.
The
climate models provided pre-industrial control
simulations (i.e natural variability only) and 20th century
simulations, with the control
simulations being a mimimum of 500
years long.
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.
Our
climate simulations in this section are five - member ensembles of runs initiated at 25 -
year intervals at
years 901 — 1001 of the control run.
The CMIP5 modelling exercise involved many more experiments and many more model -
years of
simulation than previous CMIP projects, and has been referred to as «the moon - shot of
climate modelling» by Gerry Meehl, a senior member of the international steering committee, WGCM.....»
A large ensemble of Earth system model
simulations, constrained by geological and historical observations of past
climate change, demonstrates our self ‐ adjusting mitigation approach for a range of
climate stabilization targets ranging from 1.5 to 4.5 °C, and generates AMP scenarios up to
year 2300 for surface warming, carbon emissions, atmospheric CO2, global mean sea level, and surface ocean acidification.
Figure 1.4 http://cybele.bu.edu/courses/gg312fall02/chap01/figures/figure1.4.gif shows the natural variability of the annual mean surface temperature on several different spatial scales from a
climate model
simulation for 200
years.
Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the
climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measure
climate record and methods for smoothing temporal data), decadal
climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measure
climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both
climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measure
climate model
simulations and observational data for a 50 - 70
year oscillation in the
climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measure
climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval
Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measure
Climate Anomaly and Little Ice Age, the relationship between the
climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measure
climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).
Dr. Pollard and Dr. DeConto ran a five - million -
year computer
simulation of the ice sheet's comings and goings, using data on past actual
climate and ocean conditions gleaned from seabed samples (the subject of the other paper) to validate the resulting patterns.
The CMIP5 modelling exercise involved many more experiments and many more model -
years of
simulation than previous CMIP projects, and has been referred to as «the moon - shot of
climate modelling» by Gerry Meehl, a senior member of the international steering committee, WGCM.....»
Also, perhaps I'm misunderstanding the methodology you've described, but I find the idea of delivering short term predictions from AR4 models a little strange, based on previous discussions made here about the Cox and Stephenson's «sweet spot» of
climate model
simulations of ~ 20 - 50
years.
From five
climate model runs of the 21st century the authors derive 500
years worth of
simulations.
In this case the CO2 concentration is instantaneously quadrupled and kept constant for 150
years of
simulation, and both equilibrium
climate sensitivity and RF are diagnosed from a linear fit of perturbations in global mean surface temperature to the instantaneous radiative imbalance at the TOA.
I noted many
climate modelers are convinced that regional
climate forecasts — another top concern of officials and the public — are unlikely to improve much even with far more powerful computers and
years of extra work on
simulations.
As noted in that post, RealClimate defines the Atlantic Multidecadal Oscillation («AMO») as, «A multidecadal (50 - 80
year timescale) pattern of North Atlantic ocean - atmosphere variability whose existence has been argued for based on statistical analyses of observational and proxy
climate data, and coupled Atmosphere - Ocean General Circulation Model («AOGCM»)
simulations.
«In these
climate model
simulations, the world is just now starting to enter into a new place, where rates of temperature change are consistently larger than historical values over 40 -
year time spans,» said Smith.
In recent
years one of the most important methods of estimating probability distributions for key properties of the
climate system has been comparison of observations with multiple model
simulations, run at varying settings for
climate parameters.
Our study shows that in 35 -
years long high - resolution
simulations the new model version can reproduce the state of the Fenno - Scandinavian lakes realistically, thus leading to a better representation of the overall
climate.
For instance, perfect initialization of the state of the Atlantic ocean, a correct
simulation of the next 10
years of the solar cycle, a proper inclusion of stratospheric water vapor, etc may be important for whether the next 5
years are warmer than the previous 5, but it has nothing to do with
climate sensitivity, water vapor feedback, or other issues.
The team analyzed
climate information of oceans and continents as well as thousands of
years of
climate model
simulations.
Langematz, U., J.L Grenfell, K. Matthes, and M. Kunze, 2004: Chemical effects in 11 -
year solar cycle
simulations with the Freie Universitaet Berlin
Climate Middle Atmosphere Model (FUB - CMAM - CHEM), Geophys.
Natural variability from the ensemble of 587 21 -
year - long segments of control
simulations (with constant external forcings) from 24 Coupled Model Intercomparison Project phase 3 (CMIP3)
climate models is shown in black and gray.
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).
For instance, Milly et al., 2003 (Open access) used computer
simulations and results from the CMAP reanalysis of precipitation levels to calculate that
climate - related changes in water storage on land were causing a sea - level rise of about 0.12 mm /
year in the period 1981 - 1998 (although, they admitted they couldn't calculate an error bar for that estimate).
The first
simulation is an 1860 pre-industrial conditions 500 -
year control run and the second is the SRESA1B, which is a «business as usual» scenario with CO2 levels stabilizing at 720 ppmv at the close of the 21st century [Intergovernmental Panel on
Climate Change, 2001].
Image to right: This is a GISS Model
simulation of the 8,200
year climate response to freshwater entering into the Hudson Bay.
· Xu, Zhongfeng and Zong - Liang Yang, 2012: An improved dynamical downscaling method with GCM bias corrections and its validation with 30
years of
climate simulations.
«
Simulations with a simple
climate model are used to determine the main controls on internally generated low - frequency variability, and show that natural trends of up to 0.3 °C may occur over intervals of up to 100
years.
The new
climate scenario
simulations were carried out on DKRZ's supercomputer and occupied one quarter of its total computing capacity over a period of two
years.
Interpretation of
climate model
simulations has emphasized the existence of plateaus or hiatus in the warming for time scales of up to 15 - 17
years; longer periods have not been previously anticipated, and the IPCC AR4 clearly expected a warming of 0.2 C per decade for the early part of the 21st century.
Over the last
year, it has become painfully obvious that the IPCC «
climate science» has been terribly flawed due to political agendas, resulting in the bogus and inaccurate IPCC
climate model
simulations.
Parkes and his colleagues ran
simulations of a «very mild form» of
climate change where carbon emissions rise by 1 % a
year until atmospheric concentrations reach double pre-industrial levels (560 parts per million, ppm).
Not long ago, it would have taken several
years to run a high - resolution
simulation on a global
climate model.
To see how well this relationship holds for the model's NAO in the absence of
climate change, we make use of the 2200 -
year coupled (CESM1) pre-industrial control
simulation described in Sect. 2.1.
This study has highlighted the role of internal variability of the NAO, the leading mode of atmospheric circulation variability over the Atlantic / European sector, on winter (December - March) surface air temperature (SAT) and precipitation (P) trends over the next 30
years (and the next 50
years: see Supplemental Materials) using a new 40 - member ensemble of
climate change
simulations with CESM1.
These NAO - induced «book - ends» of
climate trends over the next 50
years are very similar to those depicted in the two individual
simulations shown in Fig.
Why isn't a TCR type of
simulation, but instead using actual history and 200
year projected GHG levels in the atmosphere, that would produce results similar to a TCR
simulation (at least for the AGW temp increase that would occur when the CO2 level is doubled) and would result in much less uncertainty than ECS (as assessed by
climate model dispersions), a more appropriate metric for a 300
year forecast, since it takes the
climate more than 1000
years to equilibrate to the hypothesized ECS value, and we have only uncertain methods to check the computed ECS value with actual physical data?
One way of making such an assessment is to consider whether
simulations of the evolving
climate of the past 20
years in
climate models exhibit disparities as large as those that are observed.break