Sentences with phrase «in global atmospheric models»

The representation of cloud processes in global atmospheric models has been recognized for decades as the source of much of the uncertainty surrounding predictions of climate variability.

The most commonly used method for representing lightning in global atmospheric models generally predicts lightning increases in a warmer world.

To help introduce myself, I'm starting with a post on a topic that I've been working on recently: the simulation of tropical cyclones in global atmospheric models.

Now that it is possible to simulate the Madden Julian Oscillation (MJO) signal explicitly in global atmospheric models, hypotheses about what controls observed relationships between sea surface temperatures (SSTs) and the MJO can be explored.

Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models.

Although I was unable to demostrate the effect of this modification in the single column model, after returning from Korea I implemented this same scheme in a global atmospheric model and produced some interesting results.

Not exact matches

And by carefully measuring and modeling the resulting changes in atmospheric composition, scientists could improve their estimate of how sensitive Earth's climate is to CO2, said lead author Joyce Penner, a professor of atmospheric science at the University of Michigan whose work focuses on improving global climate models and their ability to model the interplay between clouds and aerosol particles.

«Which of those is correct at this stage is unknown, but the droughts being driven by atmospheric greenhouse gas concentrations is in line with some of these global circulation models,» Lewis said.

«Advances in global climate models and high quality ocean, atmospheric and land observations are helping us push the frontiers of snowpack prediction.»

After confirming that oxidized organics are involved in the formation and growth of particles under atmospheric conditions, the scientists incorporated their findings into a global particle formation model.

Their findings, based on output from four global climate models of varying ocean and atmospheric resolution, indicate that ocean temperature in the U.S. Northeast Shelf is projected to warm twice as fast as previously projected and almost three times faster than the global average.

Consequently the global climate in these models becomes less sensitive in its response to atmospheric carbon dioxide.

The results from the experiments were incorporated into a global atmospheric model to assess the impact of ELVOC on the particle formation and growth in the atmosphere.

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.

They were Jorge Sarmiento, an oceanographer at Princeton University who constructs ocean - circulation models that calculate how much atmospheric carbon dioxide eventually goes into the world's oceans; Eileen Claussen, executive director of the Pew Center for Global Climate Change in Washington, D.C.; and David Keith, a physicist with the University of Calgary in Alberta who designs technological solutions to the global warming prGlobal Climate Change in Washington, D.C.; and David Keith, a physicist with the University of Calgary in Alberta who designs technological solutions to the global warming prglobal warming problem.

The model is supported by observations from satellites, ground - based networks that measure ozone - depleting chemicals in the real world, and by observations from two decades of NASA aircraft field campaigns, including the most recent Airborne Tropical Tropopause Experiment (ATTREX) in 2013 and the Atmospheric Tomography (ATom) global atmospheric survey, which has made three deployments since 2016.

Sally, who was nominated by Dr. Beat Schmid, Associate Director, Atmospheric Sciences and Global Change Division, was honored for her exceptional contribution in the field of atmospheric science, particularly in her efforts to improve understanding of the radiative effect of clouds and aerosols on the Earth's atmosphere and their representation in climate models.

The Hadley Centre has calculated the massive increase in atmospheric CO2 levels if the Amazon was to die back as a result of global warming (climate models differ on how likely this is, I understand).

Results: Researchers at Pacific Northwest National Laboratory — in collaboration with NERSC, Argonne National Laboratory, and Cray — recently achieved an effective aggregate IO bandwidth of 5 Gigabytes / sec for writing output from a global atmospheric model to shared files on DOE's «Franklin,» a 39,000 - processor Cray XT4 supercomputer located at NERSC.

Methods: Researchers Drs. Samson M. Hagos and L. Ruby Leung, atmospheric scientists at PNNL, surveyed tropical divergence in three global climate models, three global reanalyses (models corrected with observational data), and four sets of field campaign soundings.

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.

From an instantaneous doubling of atmospheric CO2 content from the pre-industrial base level, some models would project 2 °C (3.6 °F) of global warming in less than a decade while others would project that it would take more than a century to achieve that much warming.

In contrast, chemistry modeling and paleoclimate records [222] show that trace gases increase with global warming, making it unlikely that overall atmospheric CH4 will decrease even if a decrease is achieved in anthropogenic CH4 sourceIn contrast, chemistry modeling and paleoclimate records [222] show that trace gases increase with global warming, making it unlikely that overall atmospheric CH4 will decrease even if a decrease is achieved in anthropogenic CH4 sourcein anthropogenic CH4 sources.

Our estimate is based primarily on our review of a series of calculations with three - dimensional models of the global atmospheric circulation, which is summarized in Chapter 4.

The model is analogue to: Increase in global average atmospheric temperature (K) = Effect from CO2 (K / ppm CO2) * Increase in CO2 level (ppm CO2)

3) Simpler models can be designed to fit many aspects of the global temperature time series, or the most straightforward aspects of the atmospheric dynamics (Q - G models with dry physics for instance)(See Held, 2005 in BAMS for more examples).

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 work is an estimate of the global average based on a single - column, time - average model of the atmosphere and surface (with some approximations — e.g. the surface is not truly a perfect blackbody in the LW (long - wave) portion of the spectrum (the wavelengths dominated by terrestrial / atmospheric emission, as opposed to SW radiation, dominated by solar radiation), but it can give you a pretty good idea of things (fig 1 shows a spectrum of radiation to space); there is also some comparison to actual measurements.

Back in atmospheric physics, chaotic behaviour is a highly - studied and well - understood phenomenon of all realistic global models, arising directly from the nonlinearity of the Navier - Stokes equations for fluid flow.

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.

In other words, the fundamental reason scientists think atmospheric CO2 strongly affects the global temperature is not climate model output — it's just * basic radiative physics *!

To better determine the fate of the species in the face of climate change, the researchers analyzed a total of 34 different global climate models, taking into account atmospheric sensitivity to greenhouse gases and different levels of human greenhouse gas emissions.

However, as in the FAR, because climate scientists at the time believed a doubling of atmospheric CO2 would cause a larger global heat imbalance than current estimates, the actual «best estimate» model sensitivity was closer to 2.1 °C for doubled CO2.

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.

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.

Evidence in support of the hypothesis that increasing atmospheric carbon dioxide MUST inevitably lead to an increase in global temperature exists only in the Models.

Type 3 dynamic downscaling takes lateral boundary conditions from a global model prediction forced by specified real world surface boundary conditions, such as for seasonal weather predictions based on observed sea surface temperatures, but the initial observed atmospheric conditions in the global model are forgotten.

The models make atmospheric CO2 concentration the cause of warming, but fail to account for either the solubility effect of CO2 in water, the intense outgassing in the Eastern Equatorial Pacific, or the effects of climatologists» formula for the residence time of atmospheric CO2 (it's quite short - lived (~ 1.5 years), not long - lived (decades to centuries), and its lumpy in the atmosphere, not global).

In a comparison of 17 computer models of world climate, all predict global warming will kick in over Antarctica, and most indicate temperatures in the interior of the continent will rise faster than in the rest of the world, said Dr. Benjamin D. Santer, an atmospheric scientist at Lawrence Livermore National LaboratorIn a comparison of 17 computer models of world climate, all predict global warming will kick in over Antarctica, and most indicate temperatures in the interior of the continent will rise faster than in the rest of the world, said Dr. Benjamin D. Santer, an atmospheric scientist at Lawrence Livermore National Laboratorin over Antarctica, and most indicate temperatures in the interior of the continent will rise faster than in the rest of the world, said Dr. Benjamin D. Santer, an atmospheric scientist at Lawrence Livermore National Laboratorin the interior of the continent will rise faster than in the rest of the world, said Dr. Benjamin D. Santer, an atmospheric scientist at Lawrence Livermore National Laboratorin the rest of the world, said Dr. Benjamin D. Santer, an atmospheric scientist at Lawrence Livermore National Laboratory.

My research is in Dr. Gudrun Magnusdottir's Modeling Lab, where we are trying to understand the critical relationships between external processes and atmospheric / oceanic circulations on the global climate system.

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.

Mathematical physicist Enting (author of the Australian Mathematical Scences Institute book Twisted: The distorted mathematics of greenhouse denial) worked at Australia's leading science agency, the CSIRO, for 24 years in atmospheric research and modelling of the global carbon cycle.

Because the isotopic signatures measured in the study are lower than the values typically entered into global climate change models, the results of this study suggest the models may be underestimating the change to atmospheric carbon - 13 for each simulated emissions scenario.

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.

«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree of predictability of these two modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»

After a two - year postdoctoral appointment modeling global sources and sinks of atmospheric CO2, he spent two years as an Assistant Professor in the Donald Bren School of Environmental Science and Management at the University of California at Santa Barbara.

The response of atmospheric CO2 and climate to the reconstructed variability in solar irradiance and radiative forcing by volcanoes over the last millennium is examined by applying a coupled physical — biogeochemical climate model that includes the Lund - Potsdam - Jena dynamic global vegetation model (LPJ - DGVM) and a simplified analogue of a coupled atmosphere — ocean general circulation model.