Sentences with phrase «atmospheric model approaches»

For latitudes above 60 ° N, emissions are estimated to be 18 — 29 Tg CH4 per year on the basis of top - down atmospheric model approaches.

For latitudes above 60 ° N, emissions are estimated to be 18 — 29 Tg CH4 per year on the basis of top - down atmospheric model approaches.

Not exact matches

When Douglas MacMartin of the California Institute of Technology in Pasadena approached the National Science Foundation for support on a modeling effort on [albedo modification], officials told him the work was too theoretical for the engineering division and too applied for the atmospheric science program.

A Columbia Engineering team led by Pierre Gentine, professor of earth and environmental engineering, and Adam Sobel, professor of applied physics and applied mathematics and of earth and environmental sciences, has developed a new approach, opposite to climate models, to correct climate model inaccuracies using a high - resolution atmospheric model that more precisely resolves clouds and convection (precipitation) and parameterizes the feedback between convection and atmospheric circulation.

Both models help mission team members plan when and where to look for unusual atmospheric disturbances as Titan summer approaches.

The approach uses the PETIT atmospheric model grid to calculate spectral indices.

PNNL is using an integrative research approach that draws on our depth and breadth of capabilities in atmospheric chemistry, climate physics, modeling, and measurement to address critical scientific questions related to the role of aerosols in the climate system.

They have employed their cluster model approach on a number of studies from biological functions to atmospheric chemistry.

Also, atmospheric measurements of the amounts of methane released by permafrost (a top - down approach) are far less than estimates of these amounts made using point - based field assessments and ecosystem modeling (bottom - up approaches).

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.

We are particularly interested in those working in applied atmospheric science and employing computational, geospatial, or modeling approaches.

Similarly, Diamond's approach to creating atmospheric harmonies, instrumental textures and effects are in line with Ravel's spatial models of time.

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).

«Coupled models are becoming increasingly reliable tools for understanding climate and climate change, and the best models are now capable of simulating present - day climate with accuracy approaching conventional atmospheric observations,» said Reichler.

In the so - called model numerics, a great deal of care is used in formulating the differential equation solution approach so as to explicitly conserve a number of quantities (mass, energy, water substance, angular momentum, linear momentum, vorticity) that are all important for the accurate representation of atmospheric dynamics.

«Another simplification of the Cess approach is the use of uniformed SST warming experiments with an atmospheric - only model for studying cloud feedback.

But almost universally, when they try to explain it, they all use the purely radiative approach, which is incorrect, misleading, contrary to observation, and results in a variety of inconsistencies when people try to plug real atmospheric physics into a bad model

This approach, described in a recent article in the journal Geoscientific Model Development, improves the way models represent atmospheric particles, clouds, and particle - cloud interactions and how they vary at regional and local scales.

the purely radiative approach, which is incorrect, misleading, contrary to observation, and results in a variety of inconsistencies when people try to plug real atmospheric physics into a bad model

The MIT team developed a new modelling approach, called the Regional Emissions Air Quality Climate and Health (REACH) framework, which combined an energy - economic model with an atmospheric chemistry model.

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.

In addition, as land surface heterogeneity is a crucial part in high - resolution modeling especially with respect to land surface changes, we want to dedicate a larger part of the input data session to efforts of generating high - resolution land surface data sets (and time series of these) applicable as lower boundary conditions in atmospheric reanalysis systems as well as in coupled reanalysis approaches.

After all, even the EPA's own lawyers, non-scientist professional bureaucratic infighters that they are, seem to recognize that if Mother Nature could, in pre-industrial times, raise the earth's global mean temperature to levels approaching today's levels — but without the benefit of having that additional 100 ppm of atmospheric CO2 with which to force the increase — then key parts of current AGW theory can be called into question, even the climate prediction models.

Our present approach of dealing with climate as completely specified by a single number, globally averaged surface temperature anomaly, that is forced by another single number, atmospheric CO2 levels, for example, clearly limits real understanding; so does the replacement of theory by model simulation.

The basic results of this climate model analysis are that: (1) it is increase in atmospheric CO2 (and the other minor non-condensing greenhouse gases) that control the greenhouse warming of the climate system; (2) water vapor and clouds are feedback effects that magnify the strength of the greenhouse effect due to the non-condensing greenhouse gases by about a factor of three; (3) the large heat capacity of the ocean and the rate of heat transport into the ocean sets the time scale for the climate system to approach energy balance equilibrium.

The general modelling techniques used in the atmospheric dynamical core, and the treatment of unresolved degrees of freedom are fairly standard as a general approach across many different applications of fluid dynamics.