Sentences with phrase «global model simulations of»

In the first study, the research team from PNNL and Los Alamos National Laboratory used idealized global model simulations of the aquaplanet with Model for Prediction Across Scales - Atmosphere (MPAS - A) and Weather Research and Forecasting Model (WRF) to run at low, high and variable resolutions.

Not exact matches

Dr Ryan Hossaini of Lancaster University and colleagues use simulations with a global chemical transport model to examine the sensitivity of future stratospheric chlorine and ozone levels to sustained dichloromethane growth.

Simulations with a three - dimensional global model suggest that the net result of these counteractive processes is a 20 percent overall reduction in total tropospheric O3.

Computer model simulations have suggested that ice - sheet melting through warm water incursions could initiate a collapse of the WAIS within the next few centuries, raising global sea - level by up to 3.5 metres.»

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.

Unfortunately, current simulation models, which combine global climate models with aerosol transport models, consistently underestimate the amount of these aerosols in the Arctic compared to actual measurements during the spring and winter seasons, making it difficult to accurately assess the impact of these substances on the climate.

The new findings, based on detailed computer simulations using the best available global circulation models, are described this week in the journal Science Advances, in a paper by MIT professor of environmental engineering Elfatih Eltahir, MIT Research Scientist Eun Soon Im, and Professor Jeremy Pal at Loyola Marymount University in Los Angeles.

We are surprised that Riegl and Purkis criticize our LV model for the potential hazards of applying it to management (something we don't do, or recommend), then argue for a global - scale biological introduction experiment based upon simulations from a single model (11).

The model is designed so that they can embed it within coarser global climate models — a combination that results in precise simulations of hurricanes in the context of a globally changing climate.

An international group of atmospheric chemists and physicist could now have solved another piece in the climate puzzle by means of laboratory experiments and global model simulations.

FMI has been involved in research project, which evaluated the simulations of long - range transport of BB aerosol by the Goddard Earth Observing System (GEOS - 5) and four other global aerosol models over the complete South African - Atlantic region using Cloud - Aerosol Lidar with Orthogonal Polarization (CALIOP) observations to find any distinguishing or common model biases.

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.

CESM models the global climate, providing state - of - the - art computer simulations of the Earth's past, present, and future climate states.

(Top left) Global annual mean radiative influences (W m — 2) of LGM climate change agents, generally feedbacks in glacial - interglacial cycles, but also specified in most Atmosphere - Ocean General Circulation Model (AOGCM) simulations for the LGM.

Hines, K.M., D.H. Bromwich, and Z. Liu, 1997: Combined global model and mesoscale simulations of Antarctic climate.

Walsh, J.E., et al., 2002: Comparison of Arctic climate simulations by uncoupled and coupled global models.

Chapman, W.L., and J. E. Walsh, 2007: Simulations of arctic temperature and pressure by global coupled models.

The work supports the Laboratory's Global Security mission area and the Information, Science, and Technology science pillar through enhanced ocean model components of global climate simulaGlobal Security mission area and the Information, Science, and Technology science pillar through enhanced ocean model components of global climate simulaglobal climate simulations.

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.

The simulations were produced with a suite of global and regional climate models as part of the North American Regional Climate Change Assessment Program.

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.

The picture shows a simulation of the Earth's magnetosphere in the Gumics - 4 global MHD model.

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 observations.

Other AgMIP initiatives include global gridded modeling, data and information technology (IT) tool development, simulation of crop pests and diseases, site - based crop - climate sensitivity studies, and aggregation and scaling.

We analysed high - temporal - resolution records of iceberg - rafted debris derived from the Antarctic Ice Sheet, and performed both high - spatial - resolution ice - sheet modelling of the Antarctic Ice Sheet and multi-millennial global climate model simulations.

The most successful attempts to do this have used either global or continental statistics (as above), or thousands of model simulations of a local event (which use an initial condition ensemble to provide statistical power).

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).

Even putting aside the OHC data and fingerprinting, there is absolutely no evidence in model simulations (or in prevailing reconstructions of the Holocene), that an unforced climate would exhibit half - century timescale global temperature swings of order ~ 1 C. I don't see a good theoretical reason why this should be the case, but since Judith lives on «planet observations» it should be a pause for thought.

In a recent paper by Bengtsson & Hodges (2006), simulations with the ECHAM5 Global Climate Model (GCM) were analysed, but they found no increase in the number of mid-latitude storms world - wide.

Second, the absolute value of the global mean temperature in a free - running coupled climate model is an emergent property of the simulation.

Kosaka and Xie made global climate simulations in which they inserted specified observed Pacific Ocean temperatures; they found that the model simulated well the observed global warming slowdown or «hiatus,» although this experiment does not identify the cause of Pacific Ocean temperature trends.

Member of the team Alena Kimbrough says, «We've shown ENSO is an important part of the climate system that has influenced global temperatures and rainfall over the past millennium... Our findings, together with climate model simulations, highlight the likelihood that century - scale variations in tropical Pacific climate modes can significantly modulate radiatively forced shifts in global temperature.»

«The 10 model simulations (a total of 700 years of simulation) possess 17 non-overlapping decades with trends in ENSO - adjusted global mean temperature within the uncertainty range of the observed 1999 - 2008 trend -LRB--0.05 to +0.05 C per decade).»

Nature of Cumulus Convection The AGW theory and the many AGW global model simulations assume that tropospheric relative humidity (RH) will remain quasi-constant as CO2 induced blockage of infrared (IR) radiation brings about temperature rises.

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 gmodel, 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 gModel (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.

Jerry specializes in understanding the impacts of human activities on the biogeochemistry of ecological systems from local to global scales, using a combination of field studies and simulation modeling.

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 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.

Impacts of the fall 2007 California wildfires on surface ozone: Integrating local observations with global model simulations

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

It is still the case that observations are more - or-less in the middle of the model simulations, but it can now be seen that the range of simulated values for absolute global average temperature is pretty large (~ 2.5 C).

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).

As a result of the significant scientific effort to date, aided by public concern, models simulating climate change have gained considerable skill... There will be many scientific and technical challenges along the way, but the hope is that simulations of the global environment will be able to maximise the number of people around the world who can adapt to, and be protected from the worst impacts of, global warming.

# 5: Global climate model simulations that include greenhouse gases indicate that the magnitude of warming that would be expected from greenhouse gas increases is at least as large as the observed warming.

I'm puzzled by your assignment of only a 30 percent probability to the proposition that «Global climate model simulations that include anthropogenic forcing (greenhouse gases and pollution aerosol) provide better agreement with historical observations in the second half of the 20th century than do simulations with only natural forcing (solar and volcanoes).»

Factorial simulations with multiple global ecosystem models suggest that CO2 fertilization effects explain 70 % of the observed greening trend.

Global climate model simulations that include anthropogenic forcing (greenhouse gases and pollution aerosol) provide better agreement with historical observations in the second half of the 20th century than do simulations with only natural forcing (solar and volcanoes).