Sentences with phrase «detail on a climate model»

«We're looking for more Michigan - or Great Lakes - level detail on a climate model, which we haven't seen yet,» said Niles Annelin, an environmental policy specialist at the Michigan Department of Transportation (MDOT).

Not exact matches

The massive projects needed now — such as devising a model of climate change detailed enough to be truly predictive or batteries efficient enough to compete with gasoline — can not wait or depend on chancy funding, he believes.He added that a strong national commitment to goal - centered basic science could help solve other important problems by drawing America's talented young people into scientific work and providing them with better opportunities for aspiring researchers to build careers with a realistic chance of making both a significant scientific contribution and a decent living.

The new findings of successful multi-year drought / fire predictions are based on a series of computer modeling experiments, using the state - of - the - art earth system model, the most detailed data on current ocean temperature and salinity conditions, and the climate responses to natural and human - linked radiative forcing.

To make a more detailed model of L.A.'s climate future, Berg and his colleagues logged countless hours on UCLA's on - campus supercomputer.

Previous attempts to estimate this planetary imbalance relied on climate models rather than observations because sufficiently detailed observations were not available then.

He is particularly interested in the role of aerosols and clouds in the atmosphere, and has worked on the processes that describe these components of the atmosphere, the computational details that are needed to describe them in computer models, and on their impact on climate.

-- 7) Forest models for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptmodels for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptModels that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptation.

Should this prove to be significant, climate models will likely incorporate this directly (using embedded aerosol codes), or will parameterise the effects based on calculated cloud variations from more detailed models.

I have still not found the details for the model run that produced fig. 7 in Hansen et al. (2011) but I have looked at some 100 year responses to 2x, 4x, and 8x carbon at the GISS web site and I am thinking that I am on the right track in clearing up this itch: The climate response function gives us a way to calculate the average temperature given a forcing without doing a whole model run for that.

This would have an effect on both atmospheric and ocean circulation and heat balance that would have to be modeled by detailed ocean / atmospheric climate modeling.

Ironically, while some continue to attack this nearly decade - old work, the actual scientific community has moved well beyond the earlier studies, focusing now on the detailed patterns of modeled and reconstructed climate changes in past centuries, and insights into the roles of external forcing and internal modes of variability (such as the North Atlantic Oscillation or «NAO» and the «El Nino / Southern Oscillation» or «ENSO») in explaining this past variability.

So even though El Nià ± o may serve as an analogue for some aspects of the influence of the weakening Walker circulation on climate, it does not serve as a dynamical analogue nor is the sensitivity to model details the same.

The research provides insight for climate models which until now have lacked the detailed information on ocean mixing....

As we have discussed several times elsewhere on this site, studies employing model simulations of the past millennium have been extremely successful in reproducing many of the details evident in paleoclimate reconstructions of this interval as a forced response of the climate to natural (primarly volcanic and solar) and in more recent centuries, anthropogenic, radiative changes.

Part of the story here is that it is this very sort of very careful work done by John Kennedy and Phil Jones and other colleagues working on these datasets that has allowed us to start challenging the models and our understanding in such a detailed way — in some ways it is quite remarkable that the observational data is now good enough to identify this level of detail in how the climate varies and changes.

We have already discussed why climate models are not well suited for providing detailed information about local climate on RC (here and here).

However, he fails to discuss how, even though the detailed results may vary, all of these climate models indicate our emissions of greenhouse gases will have a substantial effect on the climate system in the coming decades.

This month's report includes details on the causes of the 2012 minimum, the use of sea ice volume versus extent, sea ice in climate models, and late spring 2013 conditions.

How the climate will change in the future is largely based on results from Global Climate Models; however, work on climate adaptation at regional and local levels requires much more detailed inforclimate will change in the future is largely based on results from Global Climate Models; however, work on climate adaptation at regional and local levels requires much more detailed inforClimate Models; however, work on climate adaptation at regional and local levels requires much more detailed inforclimate adaptation at regional and local levels requires much more detailed information.

The objective of the workshop is first to introduce the CCI Land Cover dataset in details and then to share experiences on its exploitation in various contexts from climate modelling to UN statistics.

I'm no expert on climate sensitivity so I can't really comment on the details except to say that I think all aspects of the model need to be evaluated on their own terms.

In this section you can find updated and detailed information on sources, projects, initiative, products, data and actors on Climate Observations, Earth - System Modeling, Climate Services.

If we were discussing how to base public confidence in the models on a more informed appraisal of climate modelling, its technical details, and its provable accuracy, that would be different.

That does not mean that the public, and particulaly the technically inclined public, would not be interested in more details on all aspects of the climate modeling results.

Some time ago I wanted to learn a bit on climate models and ended up in buying (and also reading almost fully, what isn't true for all books that I buy, as I often read very selectively to complement my preexisting knowledge skipping many details) the book of Washington and Parkinson An Introduction to Three - Dimensional Climate Modeling, 2nd ed climate models and ended up in buying (and also reading almost fully, what isn't true for all books that I buy, as I often read very selectively to complement my preexisting knowledge skipping many details) the book of Washington and Parkinson An Introduction to Three - Dimensional Climate Modeling, 2nd ed Climate Modeling, 2nd ed (2005).

On p601, they state that «Models continue to have significant limitations, such as in their representation of clouds, which lead to uncertainties in the magnitude and timing, as well as regional details, of predicted climate change.»

We know the climate sensitivity to radiative forcing to be about 3 °C per 4 W / m2 of forcing to within something like a 10 % uncertainty, base on current climate modeling and the geological record (see Hansen et al., 2008) for details http://pubs.giss.nasa.gov/abs/ha00410c.html The natural (unforced) variability of the climate system is going to remain highly uncertain for the foreseeable future.

He does not give the details of the model or models used for the estimates but he may be using results from models used by the Intergovernmental Panel on Climate Change.

Users of chemistry - climate models (CCMs) with particular focus on long - term numerical simulations using CCMs for the detailed investigation of model feedbacks between ozone chemistry, ozone depleting substance (ODS) trends, and climate.

Climate models do not go to such details but use parametrizations based only indirectly on physics fundamentals.

The weather prediction model used in this research is advantageous because it assesses details about future climate at a smaller geographic scale than global models, providing reliable simulations not only on the amounts of summer precipitation, but also on its frequency and timing.

In 2012, PhD meteorologist Dr Roy Spencer detailed the problems that Intergovernmental Panel on Climate Change (IPCC) climate models, and thus climate modeler experts, were facing concerning Daubert Standard acceptaClimate Change (IPCC) climate models, and thus climate modeler experts, were facing concerning Daubert Standard acceptaclimate models, and thus climate modeler experts, were facing concerning Daubert Standard acceptaclimate modeler experts, were facing concerning Daubert Standard acceptability.

By combining policy expertise with a suite of detailed energy - economic models, Rhodium helps clients understand the impact of energy and climate change policy on economic output, energy markets, and greenhouse gas emissions.

Regarding gritty details on existing models, check eg this climate modeling FAQ, which finishes with the question

Climate models, unfortunately, are still unable to provide skillful predictions of changes in regional climate statistics on multi-decadal time scales at the detail desired by the impacts commuClimate models, unfortunately, are still unable to provide skillful predictions of changes in regional climate statistics on multi-decadal time scales at the detail desired by the impacts commuclimate statistics on multi-decadal time scales at the detail desired by the impacts communities.

What climate scientists don't seem to understand is that in every analysis situation, they have implicitly specified a statistical model and that the correct interpretation of their statistically derived results depends on an understanding of the details of the model.

It is not because most climate scientists do not share your level of scepticism, and are probably more focused on the detailed observations of forcings during the climate model era (the last 30 - odd years).

For quantitative details on the plain unadulturated obvious climate bias see: Steve McIntyre at Climate Audit: IOP: expecting consistency between models and observations is an «errorclimate bias see: Steve McIntyre at Climate Audit: IOP: expecting consistency between models and observations is an «errorClimate Audit: IOP: expecting consistency between models and observations is an «error»

«more focused on the detailed observations of forcings during the climate model era (the last 30 - odd years).»

Hansen's climate analyses have been based not only on the very basic physics that goes into climate model design, but on the detailed studies of the geological ice core and isotope records that are used to constrain and confirm climate model sensitivity.

If you have a simple model that you are fitting to some data, there is no problem in describing in detail how you decided on the model, the free parameters, the fitting procedure, the data used, etc. it can be more of a challenge to make the development path of a climate simulator fully transparent.

When climate scientists themselves keep arguing and disagreeing on this study, that model, that data and math versus this data and this math, including on this «science» forum, it is obvious to me that those less educated and less involved in the details would also be asking some pretty serious questions about notions of credibility and reliability of the science outputs and claims from one day to the next.

I'd be reassured to see climate modellers hammering on how detailed interesting regularities in experimental data (existing or wished - for) are explained or predicted by their model: something like the (honestly exasperated) way biologists refer to all the megabytes of detail revealed by DNA sequencing and other molecular biology which just keeps matching the constraints of Darwin's model.

Models used in the most recent Intergovernmental Panel on Climate Change report can «see» in finer detail and are better at representing atmospheric pollutants and their interaction with clouds compared to their predecessors, for example.