Sentences with phrase «including atmospheric modeling»

I knew the planet was problematic, perhaps too far on the outer edge of the habitable zone to be a realistic candidate, although this seems to depend on a variety of factors including atmospheric modeling.

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 model also considered how reducing soot could impact other atmospheric emissions, including sulfur dioxide, nitrous oxide and organic carbon.

Development of an atmospheric model that «has emergency response applications, including tracking mercury deposition and anthrax bioterrorism,» would also end, it noted.

The researchers developed atmospheric models of the equilibrium chemistry for a brown dwarf at 250 degrees Kelvin and calculated the resulting spectra under different assumptions, including cloudy and cloud - free models.

After a painstaking analysis that modeled all known sources of acceleration for Juno, including the minute contributions from sunlight warming the spacecraft, Iess's team found a large north - south asymmetry in Jupiter's gravitational field — a clear sign of material flowing beneath the cloud tops on deep atmospheric winds.

To investigate this, DeConto and Pollard developed a new ice sheet - climate model that includes «previously under - appreciated processes» that emphasize the importance of future atmospheric warming around Antarctica.

The model also accounted for natural drivers of change, including the direct influence of increased carbon dioxide on ocean - carbon uptake and the indirect effect that a changing climate has on the physical state of the ocean and its relationship to atmospheric carbon dioxide.

A recent trend in GCMs is to extend them to become Earth system models, that include such things as submodels for atmospheric chemistry or a carbon cycle model to better predict changes in carbon dioxide concentrations resulting from changes in emissions.

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.

JILA's results, notably the effects of molecular collisions, need to be included in future atmospheric and combustion model predictions, according to the paper.

These included model structure complexity, atmospheric forcing and the human influences on streamflow reflected in the observed streamflow in regulated rivers.

Previous recipients of the prize include the godfather of climate modelling, Syukuro Manabe, from the US National Oceanic and Atmospheric Administration's Geophysical Fluid Dynamics Laboratory, Norway's former Prime Minister Gro Harlem Brundtland, and Charles Keeling from the University of California at San Diego who gave his name to the famous Keeling curve of atmospheric CO2 concentration measurements.

His work will span and further integrate PNNL's extensive measurement capabilities, including the Atmospheric Measurements Laboratory, and the laboratory's diverse programs in atmospheric and climate modeling.

Scientists run general circulations models against these scenarios to project future climate conditions, including atmospheric carbon concentrations.

-- to model atmospheric spectral signatures (the light fingerprint of a planet or moon), including biosignatures of known and hypothetical planets to explore whether or not they could be habitable.

The latest generation of models include interactive particulates and atmospheric chemistry and have those changing through time as well as the greenhouse gases (and solar and volcanoes etc.).

Because this climate sensitivity is derived from empirical data on how Earth responded to past changes of boundary conditions, including atmospheric composition, our conclusions about limits on fossil fuel emissions can be regarded as largely independent of climate models.

Powered by an enriched Half - Life engine, CS: CZ introduces new game technologies including highly - detailed models, atmospheric enhancements such as snow and rain, and many more dynamic special effects.

This setup consists of an atmospheric model with a simple mixed - layer ocean model, but that doesn't include chemistry, aerosol vegetation or dynamic ice sheet modules.

This is not particularly surprising, since it is expected that the importance of the new simulations will be seen in the differences between model types (i.e. including carbon cycles, atmospheric chemistry etc.), or in new kinds of diagnostics from say, the initialized decadal predictions, that weren't available before.

Other successful projections include modeling the atmospheric response to the Pinatubo eruption.

Their results include time - resolved maps of the sources and sinks of atmospheric CO2 that are optimally consistent with both mechanistic forward models and the CO2, CO, and SIF observed by the satellite instruments.

More elaborate Earth System models often contain tracers related to atmospheric chemistry and aerosols (including dust and sea salt).

Nowadays, models also include dynamic sea ice, aerosols and atmospheric chemistry modules.

Response: It's not the IPCC models that don't include this, rather it is the scenarios that are used to estimate future atmospheric composition.

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).

Doubling of atmospheric carbon dioxide is an oft - talked - about threshold, and today's climate models include accepted values for the climate's sensitivity to doubling.

The top panel shows the direct effects of the individual components, while the second panel attributes various indirect factors (associated with atmospheric chemistry, aerosol cloud interactions and albedo effects) and includes a model estimate of the «efficacy» of the forcing that depends on its spatial distribution.

Is there a discernible point, maybe in a model, that includes reduced albedo in the summer, that might show an acceleration of melting above the average temperature increase curve for the region so that ocean warmth has an increasing role over atmospheric??

The basic ingredients are easy to list: — absorption / emission properties (or spectroscopic parameters) of CO2 at atmospheric pressures, i.e. data presently available from HITRAN - database combined with models of line broadening — observed properties of the atmosphere where most important features include clouds and moisture content, but many other factors have some influence — computer model of the transmission of radiation along the lines of MODTRAN or GENLN2

Depending on what they are used for, models can also include interactive atmospheric chemistry, ocean biology, and other processes.

«A new NASA computer climate model reinforces the long - standing theory that low solar activity could have changed the atmospheric circulation in the Northern Hemisphere from the 1400s to the 1700s and triggered a «Little Ice Age» in several regions including North America and Europe.»

Given the huge sums of money involved in funding climate research and the even larger sums being spent on the assumption that it gives us good guidance for practical decisions, it may be time for some very large experimental chambers to be constructed to test the presumptions of the device of using forcings as an tractable way of including changes in atmospheric composition in climate models.

A new NASA study has shown that to correctly model the climate effects of an eruption scientists need to include the atmospheric effects of erupted water vapor.

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).

Interactive atmospheric chemistry components are not generally included in the models used in this report.

But certainly models with such a grand name as «General Circulation Model», would include average diurnal atmospheric circulation patterns in tropics, and diurnal and seasonal patterns at latitudes outside the tropics, as well as heat transfer to the deeper ocean.

An international team of researchers report in Nature Communications that they made a computer model of the planet's atmospheric conditions: they included natural and human - triggered aerosols, volatile organic compounds, greenhouse gases and other factors that influence temperature, one of which is albedo: the scientist's word for the capacity of terrain to absorb or reflect solar radiation.

We are investigating the effects of long - term emissions trends using a version of the GISS climate model that includes atmospheric chemistry.

The US CLIVAR Greenland Ice Sheet - Ocean Interactions Working Group was formed to foster and promote interaction between the diverse oceanographic, glaciological, atmospheric and climate communities, including modelers and field and data scientists within each community, interested in glacier / ocean interactions around Greenland, to advance understanding of the process and ultimately improve its representation in climate models.

For example, the zonal - mean profiles of atmospheric temperature changes in models subject to «20CEN» forcing (includes CO2 forcing) over 1979 - 1999 are discussed in Chap 5 of the U.S. Climate Change Science Program [Karl et al. 2006].

Climate models are like weather models for the atmosphere and land, except they have to additionally predict the ocean currents, sea - ice changes, include seasonal vegetation effects, possibly even predict vegetation changes, include aerosols and possibly atmospheric chemistry, so they are not like weather models after all, except for the atmospheric dynamics, land surface, and cloud / precipitation component.

Review the development of atmospheric models for use in weather prediction and climate studies on all scales, including the diagnosis of shortcomings.

However, I am not a «warmista» by any means — we do not know how to properly quantify the albedo of aerosols, including clouds, with their consequent negative feedback effects in any of the climate sensitivity models as yet — and all models in the ensemble used by the «warmistas» are indicating the sensitivities (to atmospheric CO2 increase) are too high, by factors ranging from 2 to 4: which could indicate that climate sensitivity to a doubling of current CO2 concentrations will be of the order of 1 degree C or less outside the equatorial regions (none or very little in the equatorial regions)- i.e. an outcome which will likely be beneficial to all of us.

The identified atmospheric feedbacks including changes in planetary albedo, in water vapour distribution and in meridional latent heat transport are all poorly represented in zonal energy balance model as the one used in [7] whereas they appear to be of primary importance when focusing on ancient greenhouse climates.

This evidence includes multiple finger - print and attribution studies, strong correlations between fossil fuel use and increases in atmospheric greenhouse gas concentrations, carbon isotope evidence that is supports that elevated carbon dioxide concentrations in the atmosphere are from fossil sources, and model predictions that best fit actual observed greenhouse gas concentrations that support human activities as the source of atmospheric concentrations.

As the Director of GISS and Principal Investigator for the GISS ModelE Earth System Model, I am interested in understanding past, present and future climate and the impacts of multiple drivers of climate change, including solar irradiance, atmospheric chemistry, aerosols, and greenhouse gases.

Dr. Nehrkorn's 30 year research tenure at AER has included work on numerical weather prediction models, data assimilation systems, humidity to cloud relationships, three dimensional analysis of atmospheric quantities and studies of the angular momentum budget of the atmosphere.

The fact that Wahl and Ammann (2006) admit that the results of the MBH methodology does not coincide with the results of other methods such as borehole methods and atmospheric - ocean general circulation models and that Wahl and Ammann adjust the MBH methodology to include the PC4 bristlecone / foxtail pine effects are significant reasons we believe that the Wahl and Amman paper does not convincingly demonstrate the validity of the MBH methodology.