Sentences with phrase «global climate simulations used»

Not exact matches

The model has already been integrated into the next generation of the global land model used for climate simulations by the NOAA Geophysical Fluid Dynamics Laboratory, a major national climate modeling center.

Because ocean currents play a major role in transporting the planet's heat and carbon, the ECCO simulations are being used to understand the ocean's influence on global climate and the melting of ice in polar regions.

Model simulations of 20th century global warming typically use actual observed amounts of atmospheric carbon dioxide, together with other human (for example chloroflorocarbons or CFCs) and natural (solar brightness variations, volcanic eruptions,...) climate - forcing factors.

After the field campaign, Fast will perform computer simulations to help evaluate all of the field campaign data and quantify the uncertainties associated with using coarse grid global climate models to study megacity emissions and to determine the radiative impact of the Mexico City particulates on the local and regional climate.

Using thus 10 different climate models and over 10,000 simulations for the weather@home experiments alone, they find that breaking the previous record for maximum mean October temperatures in Australia is at least six times more likely due to global warming.

Scientists are using airborne observations of atmospheric trace gases, aerosols, and cloud properties from the North Slopes of Alaska to improve their understanding of global climate, with the goal of reducing the uncertainty in global and regional climate simulations and projections.

M2009 use a simplified carbon cycle and climate model to make a large ensemble of simulations in which principal uncertainties in the carbon cycle, radiative forcings, and climate response are allowed to vary, thus yielding a probability distribution for global warming as a function of time throughout the 21st century.

It is a permanent part of the German Max Planck Instituut's climate system model, which is used for global climate change simulations in the IPCC reports and elsewhere.

Working with Tom Chase, a colleague at the institute, the researchers were comparing climate simulations from the Community Land Model — part of a select group of global models used in the Intergovernmental Panel on Climate Change's 2007 climate change report — against observclimate simulations from the Community Land Model — part of a select group of global models used in the Intergovernmental Panel on Climate Change's 2007 climate change report — against observClimate Change's 2007 climate change report — against observclimate change report — against observations.

Complex systems are studied using information theory and computer simulation models (e.g. global climate models.)

With error bars provided, we can use the PIOMAS ice volume time series as a proxy record for reality and compare it against sea - ice simulations in global climate models.

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.

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 measureclimate 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 measureclimate 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 measureclimate 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 measureclimate 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 measureClimate 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 measureclimate 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).

But the main concern I have is that models and simulations on the global climate are used as facts instead used as guidelines for further research.

Due to the important role of ozone in driving temperature changes in the stratosphere as well as radiative forcing of surface climate, several different groups have provided databases characterizing the time - varying concentrations of this key gas that can be used to force global climate change simulations (particularly for those models that do not calculate ozone from photochemical principles).

Jerry's research team has developed and uses a simulation model, the Terrestrial Ecosystem Model (TEM), to consider the impacts of various aspects of global change — climate, chemistry of the atmosphere and precipitation, land cover and land use — on the structure and function of terrestrial ecosystems across the globe.

A recent meta - analysis published in the journal Nature Climate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropClimate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropclimate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropclimate change and adaptation on crop yield.

Forest 2006, along with several other climate sensitivity studies, used simulations by the MIT 2D model of zonal surface and upper - air temperatures and global deep - ocean temperature, the upper - air data being least influential.

Using a detailed computer simulation of global economic activity and climate processes, they ran the model 400 times with possible tweaks.

As shown in Figure 2, the IPCC FAR ran simulations using models with climate sensitivities (the total amount of global surface warming in response to a doubling of atmospheric CO2, including amplifying and dampening feedbacks) correspoding to 1.5 °C (low), 2.5 °C (best), and 4.5 °C (high).

In other words, these are 3D global simulations from which globally averaged TOA fluxes and temperatures are determined, which are then used to determine the climate sensitivity.

The question that is addressed in my post is, with respect to multi-decadal model simulations, are global and / or regional climate models ready to be used for skillful regional projections by the impacts and policymaker communities?

TAR and AR4 combined uses transient simulation (37), transient climate sensitivity (5), transient sensitivity (2), and transient global climate sensitivity (1).

FORTRAN source code and documentation for the 1980s version of the GISS global climate model, used in the original NASA GISS global warming simulations described in Hansen et al. (1988).

Van Haren et al (2012) also nicely illustrate the dependence of regional skill on lateral boundary conditions: simulations of (historic) precipitation trends for Europe failed to match the observed trends when lateral boundary conditions were provided from an ensemble of CMIP3 global climate model simulations, while a much better correspondence with observations was obtained when reanalyses were used as boundary condition.

Trends in climate variables and their interrelationships over China are examined using a combination of observations and global climate model simulations to elucidate the mechanism for producing an observed 1 °C increase in surface temperature despite a significant decrease in surface insolation from 1950 to 2000.

We use global climate model simulations to estimate the distribution of ecologically - relevant climate changes resulting from forest loss in two hotspot regions: western North America (wNA), which is experiencing accelerated dieoff, and the Amazon basin, which is subject to high rates of deforestation.

Global mean temperatures from climate model simulations are typically calculated using surface air temperatures, while the corresponding observations are based on a blend of air and sea surface temperatures.

(07/08/2013) Warmer ocean temperatures will increase the frequency and intensity of tropical cyclones, typhoons and hurricanes in «most locations» this century, concludes a new study based on simulations using six global climate models.

Metzger et al. (NRL Stennis Space Center), 5.0 (3.4 - 6.0), Modeling The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with July 1, 2015 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

Coupled simulations, using six different models to determine the ocean biological response to climate warming between the beginning of the industrial revolution and 2050 (Sarmiento et al., 2004), showed global increases in primary production of 0.7 to 8.1 %, but with large regional differences, which are described in Chapter 4.

Top: The change in annual temperature projected for the late 21st century using simulations from 27 global climate models.

«To assess the models» cloud feedback and climate sensitivity, we follow the Cess approach by conducting a pair of present - day and global warming simulations for each model using prescribed SSTs and greenhouse gas (GHG) concentrations (Cess et al. 1990).

M2009 use a simplified carbon cycle and climate model to make a large ensemble of simulations in which principal uncertainties in the carbon cycle, radiative forcings, and climate response are allowed to vary, thus yielding a probability distribution for global warming as a function of time throughout the 21st century.

The red line shows climate model simulations of global surface temperature change produced using the sum of the impacts on temperature from natural (b, c, d) and anthropogenic factors (e).

Climate Sim force of nature Beth Sawin (in the picture to the left) recently wrote a really lovely blog post about our team's effort to address climate change and global ecological limits through the use of simulations that are embedded in effective conversations about Climate Sim force of nature Beth Sawin (in the picture to the left) recently wrote a really lovely blog post about our team's effort to address climate change and global ecological limits through the use of simulations that are embedded in effective conversations about climate change and global ecological limits through the use of simulations that are embedded in effective conversations about action.

The IPCC FAR ran simulations using models with climate sensitivities (the total amount of global surface warming in response to a doubling of atmospheric CO2, including amplifying and dampening feedbacks) of 1.5 °C (low), 2.5 °C (best), and 4.5 °C (high) for doubled CO2 (Figure 1).

NRL - ocn - ice, 5.2 (4.3 - 6.0), Modeling (ice - ocean) The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with June 1, 2016 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

A new paper [1] published this month in Environmental Research Letters revisits the assessment using more station data, an additional monthly event definition, a second global climate model and regional model simulations of winter 2015/16.

«Our climate simulations, using a simplified three - dimensional climate model to solve the fundamental equations for conservation of water, atmospheric mass, energy, momentum and the ideal gas law, but stripped to basic radiative, convective and dynamical processes, finds upturns in climate sensitivity at the same forcings as found with a more complex global climate model»

The hypothesis and the computer model simulation used to predict global climate has consistently failed.

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 criticism mainly focused on the conceptual use of untested methods of CDR to keep global warming below 2C above pre-industrial levels in model simulations, the potential risks of deploying CDR technologies at scale, and the role of science in climate policy negotiations.

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.

Our climate simulations, using a simplified three - dimensional climate model to solve the fundamental equations for conservation of water, atmospheric mass, energy, momentum and the ideal gas law, but stripped to basic radiative, convective and dynamical processes, finds upturns in climate sensitivity at the same forcings as found with a more complex global climate model [66].

The promise is that In a few more decades it will become possible to use such global [superparameterizations] to perform century - scale climate simulations, relevant to such problems as anthropogenic climate change.

Climate change and global warming scientists seeking grants for continuing research use computer model simulations to fabricate justify why they need more budget monies from the government - it is a constant doomsday whining that inflicts (and impacts) the entire science community.

Together, it is our goal to provide the best description of the middle Pliocene global warming, using perspectives from marine and terrestrial data as well as climate model simulations.

Using global climate model simulations that replicated the ocean basins and landmasses of this period, it appears that changes in ocean circulation due to warming played a key role.

We use a suite of global climate model simulations for the 20th Century to assess the contribution of solar forcing to the past trends in the global mean temperature.