Sentences with phrase «other atmospheric model»

For the July report, we received 14 June SIO submissions from dynamical models: 5 from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output (in green in Figure 3) and 9 from fully coupled general circulation models (in blue in Figure 3).

This year we received 14 June SIO submissions from dynamical models, of which 3 were from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output and 12 were from fully - coupled general circulation models.

Not exact matches

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

But even the first step of modeling the effects of greenhouse gas sources and sinks on future temperatures requires input from atmospheric scientists, oceanographers, ecologists, economists, policy analysts, and others.

Goddard's computer models, with input from ocean buoys, atmospheric models, satellite data and other sources, can also simulate what ocean water temperatures could do in the coming months.

Forecasting models are based on physical laws governing atmospheric motion, chemical reactions and other relationships.

Satellite images and atmospheric models such as these have helped Jaffe demonstrate how mercury and other emissions from China feed into a complex network of air currents that distribute pollutants across the globe.

EWeLiNE combines these data with other atmospheric observations — from ground - based weather stations, radar and satellites — and sophisticated computer models predict power generation over the next 48 hours or so.

Even models that correctly capture cloud behavior may fail to fully account for other climate feedbacks from factors like changing snow and sea ice cover, atmospheric water vapor content, and temperature.

Bringing together observed and simulated measurements on ocean temperatures, atmospheric pressure, water soil and wildfire occurrences, the researchers have a powerful tool in their hands, which they are willing to test in other regions of the world: «Using the same climate model configuration, we will also study the soil water and fire risk predictability in other parts of our world, such as the Mediterranean, Australia or parts of Asia,» concludes Timmermann.

Other studies which have assessed the importance of the Montreal Protocol have used models to predict atmospheric winds and temperatures and have looked a few decades into the future.

There are many other atmospheric observations and models we need to look at to see how this entire process works.»

Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.

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.

All the models I've seen rely on the assumption that an increase in atmospheric greenhouse gases will necessarily increase the long - term average temperature of the globe and that all the other mechanisms that cause or counteract warming are understood and modeled fairly accurately.

They looked at precipitation and atmospheric circulation among other factors before determining that the model was accurately portraying regional climate and informing global climate calculations.

To derive the climate projections for this assessment, we employed 20 general circulation models to consider two scenarios of global carbon emissions: one where atmospheric greenhouse gases are stabilized by the end of the century and the other where it grows on its current path (the stabilization [RCP4.5] and business - as - usual [RCP8.5] emission scenarios, respectively).

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.

This method tries to maximize using pure observations to find the temperature change and the forcing (you might need a model to constrain some of the forcings, but there's a lot of uncertainty about how the surface and atmospheric albedo changed during glacial times... a lot of studies only look at dust and not other aerosols, there is a lot of uncertainty about vegetation change, etc).

Since then, anthropogenic influence has also been identified in a range of other climate variables, such as ocean heat content, atmospheric pressure and sea ice extent, thereby contributing further evidence of an anthropogenic influence on climate, and improving confidence in climate models.

All the models I've seen rely on the assumption that an increase in atmospheric greenhouse gases will necessarily increase the long - term average temperature of the globe and that all the other mechanisms that cause or counteract warming are understood and modeled fairly accurately.

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

Other examples in a simple atmospheric model might be the distribution of ozone or the level of carbon dioxide.

NASA's Carbon Monitoring System (CMS) combines mechanistic «forward» models and empirical «inverse» models of atmospheric CO2 and other variables using a technique called «data assimilation» that is closely analogous to operational weather forecasting (Bowman et al, 2017).

The lag between decreases in sea ice extent during late summer and changes in the mid-latitude atmospheric circulation during other seasons (like autumn and winter, when the recent loss of sea ice is much smaller) have been demonstrated empirically, but have not been captured by existing dynamical models.

The (apparent) slower rate of projected model warming for a higher absolute temperature may be related to other factors like cloud amount and geographical distribution at higher absolute humidity, or increases in convective transport (due to more atmospheric instability) at higher absolute humidity.

[Response: At the dawn of coupled modelling, errors that arose in separate developments of ocean and atmospheric models lead to significant inconsistencies between the fluxes that each component needed from the other, and the ones they were getting.

Given that the other important variables (sea surface temps, depth of the warm layer, and atmospheric moisture) are all predicted to increase, it seems hard to make the claim that tropical cyclones will be unchanged, just as it seemed unwise to claim that Lyman et al's «Recent cooling of the upper oceans» meant that climate models had fatal flaws.

Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.

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 *!

Several other groups have evaluated the impact of coupling specific models of carbon to climate models but clear results are difficult to obtain because of inevitable biases in both the terrestrial and atmospheric modules (e.g., Delire et al., 2003).

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

In another study, a multi-year time series of surface radiative fluxes and other atmospheric properties measured by a DOE climate program are being used at AER to evaluate radiative fluxes and to validate forecasts of surface temperature and other properties in the Weather Research and Forecasting (WRF) regional model.

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

In their model, the researchers were able to tease out the impacts of one factor at a time, which allowed them to investigate and quantify the monsoon response to the doubling of atmospheric carbon dioxide, increased temperatures and other individual changes.

... current climate modeling is essentially to answer one question: how will increased atmospheric concentrations of CO2 (generated from human activity) change earth's temperature and other climatological statistics?

available peer - reviewed, science - based evidence to model the implications of their proposals for atmospheric carbon dioxide concentrations, global mean surface temperature, sea level rise, and other climate change impacts at the global scale.

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 will interpret recently completed measurements of 35 chemical - proxies in the ice - core and relate these to similar studies in other Arctic ice cores, such as by using real - world contaminant transport to validate atmospheric circulation models and chemical - signature sourcing.

There are two separate issues: the correct radiative transfer model, then the correct ambient atmospheric conditions (H20 and other trace gases, temperature profiles, cloud properties, etc.).

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 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.

For new technologies the ETA team often starts with a life - cycle energy, water, or materials analysis to understand the technology's impacts when scaled up, and then uses other models as needed, such as an atmospheric chemistry model or energy system model.

Other evidence [which I will present in future articles] seems to indicate that these same climate models are NOT realistically simulating such factors as atmospheric water vapour, clouds, solar energy fluctuations and cosmic ray effects, Earth's changing geomagnetic field, and Earth's interior heat with consequent surface heat variations.

Program areas at GISS may be roughly divided into the categories of climate forcings; climate model development; Earth observations; atmospheric radiation; atmospheric chemistry; climate impacts; planetary atmospheres, exoplanets, and astrobiology; paleoclimate; and other disciplines.

In addition to treating cloud transmission based only on the measurements at the local time of the TOMS observations, the results from other satellites and weather assimilation models can be used to estimate atmospheric UV irradiance transmission throughout the day.

To produce a weather forecast we need to model the dynamics of the atmosphere and the physical processes that occur, such as the formation of clouds, and the other processes in the Earth system that influence the weather such as atmospheric composition, the marine environment and land processes.

Wang, 5.0 (± 0.27), Modeling A projected September Arctic sea ice extent of 5.0 million km2 is based on a NCEP ensemble mean CFSv2 forecast initialized from the NCEP Climate Forecast System Reanalysis (CFSR) that assimilates observed sea ice concentrations and other atmospheric and oceanic observations.

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.

The fourth question «How robust are the models used by the Met Office for weather forecasting, climate predictions, atmospheric dispersion and other activities?»