Sentences with phrase «use global atmospheric models»
The Carnegie team will use global atmospheric models, partly enabled by the Carnegie Institution's new high - performance computing cluster, to simulate how short - lived pollutants from different sectors and different countries get transported through the atmosphere and the distribution and strength of their climate and air quality effects.
https://carnegiescience.edu/ Not exact matches
They used this data compilation to evaluate the quality of their regional atmospheric climate model, based on global climate projections that included several scenarios of anticipated climate change.
The global climate models assessed by the Intergovernmental Panel on Climate Change (IPCC), which are used to project global and regional climate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dynamics.
Columbia University physicist Peter Eisenberger created an effective model that proves, through real world testing, that carbon sequestration can be used on a global scale and can prevent the atmospheric levels of carbon dioxide from ever exceeding 450 ppm, below dangerous levels.
They used the Community Earth System Model, funded primarily by the Department of Energy and NSF, to simulate global climate as well as atmospheric chemistry conditions.
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.
Because small - scale climate features, such as clouds and atmospheric aerosol particles, have a large impact on global climate, it's important to improve the methods used to represent those climate features in the models.
Find out how researchers are using data from U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility — the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate — to improving regional and global climate models.
In sensitivity experiments the influence of removed orography of Greenland on the Arctic flow patterns and cyclone tracks during winter have been determined using a global coupled model and a dynamical downscaling with the regional atmospheric model HIRHAM.
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 measurements).
The approximately 20 - year lag (between atmospheric CO2 concentration change and reaching equilibrium temperature) is an emerging property (just like sensitivity) of the global climate system in the GCM models used in the paper I linked to above, if I understood it correctly.
This hindcast uses two time - varying inputs: 10 - meter wind vectors from the atmospheric model NAVGEM (Navy Global Environmental Model, Hogan et al. 2014) run at the Fleet Numerical Meteorology and Oceanography Center (FNMOC), and analyses of ice concentrations (also produced at FNMOC) from passive microwave radiometer data (SSM model NAVGEM (Navy Global Environmental Model, Hogan et al. 2014) run at the Fleet Numerical Meteorology and Oceanography Center (FNMOC), and analyses of ice concentrations (also produced at FNMOC) from passive microwave radiometer data (SSM Model, Hogan et al. 2014) run at the Fleet Numerical Meteorology and Oceanography Center (FNMOC), and analyses of ice concentrations (also produced at FNMOC) from passive microwave radiometer data (SSM / I).
This result suggests that current projections of regional climate change may be questionable.This finding is also highly relevant to regional climate modelling studies where lower resolution global atmospheric models are often used as the driving model for high resolution regional models.
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).
Value - added products (VAPs) are higher - order data products that have been analyzed and processed to ease scientist's use of ARM data in atmospheric research and global climate models.
These data are used to research atmospheric radiation balance, cloud feedback processes, and to initialize and evaluate model performance, which are critical to the understanding of global climate change.
Using variable resolution global models, their analyses will take into account the sensitivity of water cycle processes such as atmospheric rivers and monsoons to model resolution.
Emissions of other short - lived gases (CO, NOx, NMVOCs, and CH4) also needed to be mapped to a global grid for use in atmospheric chemistry models.
The Earth's response to changes in atmospheric CO2 is studied using what are known as global climate models (GCMs), which run on supercomputers.
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.
Radiative transfer codes that accurately calculate the radiative impact of greenhouse gases and other atmospheric constituents are an essential component of the global climate models used to simulate present and future climate.
Here seven GVMs are used to investigate possible responses of global natural terrestrial vegetation to a major new set of future climate and atmospheric CO2 projections generated as part of the fifth phase of the Coupled Model Intercomparison Project (CMIP5)(6), the primary climate modeling contribution to the latest Intergovernmental Panel on Climate Change assessment.
Second, using measured atmospheric CO2 concentrations short circuits two layers of modeling which themselves are major sources of uncertainty, namely, estimating global emissions and, then, estimating the atmospheric CO2 concentrations (based on complex models of the global carbon cycle).
The main goal of this program is to determine the global distribution of carbon dioxide and other trace atmospheric gases by sampling at various altitudes and latitudes in the Pacific Basin, counting the molecules and using the data to test mathematical models» predictions.
Zhang and Delworth and Zhang et al. showed by using models that, as the northward surface heat transport by the AMOC is increased, the global atmospheric heat transport decreases in compensation (and vice versa), providing a multidecadal component to the Pacific Decadal Oscillation (PDO).
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.
«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»
Similarly, such global models can be used to help define global surface temperature for specified atmospheric composition and surface properties such as sea surface temperature.»
By using an idealized heating to force a comprehensive atmospheric model, the large negative anomalous latent heating associated with the observed deficit in central tropical Pacific rainfall is shown to be mainly responsible for the global quasi-stationary waves in the upper troposphere.
The authors developed scenarios of global CO2 emissions from existing infrastructure directly emitting CO2 to the atmosphere for the period 2010 to 2060 (with emissions approaching zero at the end of this time period) and used the University of Victoria Earth System Climate Model to project the resulting changes in atmospheric CO2 and global mean temperature.
The most commonly used method for representing lightning in global atmospheric models generally predicts lightning increases in a warmer world.
The CSALT model uses atmospheric pressure to estimate natural variability in the global temperature signal.
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].
We study climate sensitivity and feedback processes in three independent ways: (1) by using a three dimensional (3 - D) global climate model for experiments in which solar irradiance So is increased 2 percent or CO2 is doubled, (2) by using the CLIMAP climate boundary conditions to analyze the contributions of different physical processes to the cooling of the last ice age (18K years ago), and (3) by using estimated changes in global temperature and the abundance of atmospheric greenhouse gases to deduce an empirical climate sensitivity for the period 1850 - 1980.
With the ever increasing divergence of surface temperatures (NASA GISS) from satellite ones (UAH / RSS), and the subsequent divergence of overheated climate models (IPCC CMIP5) to observed reality, it is worth some background on the atmospheric temperature measurement systems used to measure the temperature of the lower troposphere — the exact place where global warming theory is meant to occur and be measured:
The second paper, by Hagos et al. (2016) in Geophysical Research Letters uses output from a global climate model to examine changes to atmospheric river events over western North America, assuming large, business - as - usual anthropogenic greenhouse gas emissions.
The current generation of global atmospheric models in use for climate studies around the world do some things remarkably well, as I've tried to argue in several earlier posts.
For future projections, GFDL atmospheric modelers have developed global models capable of simulating many aspects of the seasonal and year - to - year variability of tropical cyclone frequency in a number of basins, using only historical sea surface temperatures as input.
They also ran atmospheric models that used observed global sea surface temperatures, Arctic sea ice conditions and atmospheric carbon dioxide concentrations in 2010 to assess whether such factors might have contributed to the heat wave.
Morcrette, R. Pincus, et al. (July 2008): The Monte Carlo Independent Column Approximation: an assessment using several global atmospheric models.
Recent work in modelling the warm climates of the Early Eocene shows that it is possible to obtain a reasonable global match between model surface temperature and proxy reconstructions, but only by using extremely high atmospheric CO2 concentrations or more modest CO2 levels complemented by a reduction in global cloud albedo.
Our 2015 study examines the impact of 21st - century projected climate changes (CMIP5, RCP4.5 scenario) on a number of tropical cyclone metrics, using the GFDL hurricane model to downscale storms in all basins from one of the lower resolution global atmospheric models mentioned above.
Simulations with this atmospheric forcing are presented from seven global ocean - ice models using the CORE - I design (repeating annual cycle of atmospheric forcing for 500 years).