Sentences with phrase «as improved climate models»

The likely benefits of improved water vapor data include better weather forecasts as well as improved climate models.

Not exact matches

Darin Kingston of d.light, whose profitable solar - powered LED lanterns simultaneously address poverty, education, air pollution / toxic fumes / health risks, energy savings, carbon footprint, and more Janine Benyus, biomimicry pioneer who finds models in the natural world for everything from extracting water from fog (as a desert beetle does) to construction materials (spider silk) to designing flood - resistant buildings by studying anthills in India's monsoon climate, and shows what's possible when you invite the planet to join your design thinking team Dean Cycon, whose coffee company has not only exclusively sold organic fairly traded gourmet coffee and cocoa beans since its founding in 1993, but has funded dozens of village - led community development projects in the lands where he sources his beans John Kremer, whose concept of exponential growth through «biological marketing,» just as a single kernel of corn grows into a plant bearing thousands of new kernels, could completely change your business strategy Amory Lovins of the Rocky Mountain Institute, who built a near - net - zero - energy luxury home back in 1983, and has developed a scientific, economically viable plan to get the entire economy off oil, coal, and nuclear and onto renewables — while keeping and even improving our high standard of living

And the evidence of change has mounted as climate records have grown longer, as our understanding of the climate system has improved and as climate models have become ever more reliable.

Cziczo says the group's experimental results will help to improve Martian climate models, as well as scientists» understanding of how the planet transports water through the atmosphere.

There is hope that attribution of hurricanes and other dynamic weather events will improve as scientists tinker on climate models, said Adam Sobel, a climate scientist at Columbia University.

PNNL researchers play a key role in reducing uncertainty through improved process understanding and modeling of climate processes such as clouds and aerosols.

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.

As research leaders in developing and using models to provide scientific insights into weather and climate change, Qian and others are striving to understand uncertainty in systems and modeling to improve projections and help prepare vulnerable regions for potential climate change impact.

Proposed campaigns should focus on research that addresses the ARM mission of improving the understanding and representation of clouds and aerosols in climate and earth system models, as well as their interactions and coupling with Earth's surface.

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.

But for journalists and others who are not climate scientists, some narrative would help, as inline text and more clarification as footnotes if needed including, cover for example: — being very clear for a graph what was being forecast (people play silly games with Hansen, confusing which was BAU)-- Perhaps showing original graph first «This is what was predicted...» in [clearly a] sidebar THEN annotated / overlayed graph with «And this is how they did...» sidebar — placing the prediction in context of the evolving data and science (e.g. we'd reached 3xx ppm and trajectory was; or «used improved ocean model»; or whatever)-- perhaps a nod to the successive IPCC reports and links to their narrative, so the historical evolution is clear, and also perhaps, how the confidence level has evolved.

Of course, there are some differences — the butterfly effect has a basis in physical reality, so as our understanding of physical processes and the ability to mathematically model them improves, so will our ability to bridge the gap between predicting weather and climate.

But even as the certainty of the models improved, Exxon focused instead on their uncertainty in its campaign to delay climate action.

Just as a hypothetical example: If climate scientist will tell me that recent pause in global warming is due to the effect of an inactive sun (which is the reality as reported by following) http://www.spaceweather.com and that they will go back and improve their models to account for this, then I would be more inclined to believe their other claims... Instead the IPCC doubles down on their predictions and claim the future effects will be worst than they originally thought?

As climate modelers prepare to gather in College Park, Maryland, during the first week of April 2018 for the annual US Climate Modeling Summit, one topic that is likely to dominate discussions is whether we need to rethink our approach to improve model performance and acclimate modelers prepare to gather in College Park, Maryland, during the first week of April 2018 for the annual US Climate Modeling Summit, one topic that is likely to dominate discussions is whether we need to rethink our approach to improve model performance and acClimate Modeling Summit, one topic that is likely to dominate discussions is whether we need to rethink our approach to improve model performance and accuracy.

But as climate models improved, those fears dissipated.

This study also provides observational constraints for an improved simulation of convection in models simulating present and future climate models and a better understanding of isotope variations in proxy archives, such as speleothems and tropical ice.

Global warming's crystal ball is clearing as climate models improve, and scientists now predict that some regions will see a month's less rain and snow by 2100.

And the evidence of change has mounted as climate records have grown longer, as our understanding of the climate system has improved and as climate models have become ever more reliable.

These two projects and cooperative partners will improve sea ice observation and modelling on regional and local scale as well as support to climate research in the Polar Regions.

Adding local information, not captured in the coarse scale climate model or observational archives, can provide an improved representation of the relevant processes at this scale, and thus yield additional information, for instance concerning topography, land use or small scale features such as sea breezes or organisation of convection.

The ARM Climate Research Facility, a DOE scientific user facility, provides the climate research community with strategically located in situ and remote - sensing observatories designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's sClimate Research Facility, a DOE scientific user facility, provides the climate research community with strategically located in situ and remote - sensing observatories designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's sclimate research community with strategically located in situ and remote - sensing observatories designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's sclimate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's surface.

If Mr. Rose really wants to improve his reporting and do a general service of advancing a true understanding of the issue of anthropogenic climate change, he needs to do a comprehensive article about Earth's energy budget, and state quite clearly all the different spheres (all layers of the atmosphere, hyrdosphere, crysosphere, and biosphere) in which the signal of anthropogenic warming is both modeled as impacting and then talk about what is data is actually saying in terms of Earth's energy imbalance in all these spheres.

However, all models improve over time, and with increasing sources of real - world information such as satellites, the output of climate models can be constantly refined to increase their power and usefulness.

He imagines a case of a researcher producing work that explained where climate models are going wrong: «If he or she stood up and talked to a journalist, that very good research intended to improve the models could have her work framed as saying that climate models are garbage, therefore the Arctic isn't warming.»

The new findings are expected to help scientists improve existing computer models for predicting future climate change as increasing anthropogenic greenhouse gases in the atmosphere drive up Earth's temperatures globally.

The improved agreement with climate models was as much of a surprise to us as anyone else.

Hansen's model of 1980 is no longer relevant as climate models have improved considerably in the past 28 years.

Enhanced model resolution, improved subgrid scale parameterisations, and the inclusion of additional climate subsystems, such as a resolved stratosphere, may help overcome these limitations.»

More recently, Beena Sarojini and colleagues (2012) examined the performance of a new (and supposedly improved) crop of climate models and found much the same as Zhang et al. (2007).

Our paper and others like it are critically needed as we work with limited resources to improve the skill of our climate models.

It shows how information in models of climate impact — recently described as «completely made up» — can be improved.

For their study, Hansen and his colleagues combined ancient paleo - climate data with new satellite readings and an improved model of the climate system to demonstrate that ice sheets can melt at a «non-linear» rate: rather than an incremental melting as Earth's poles inexorably warm, ice sheets might melt at exponential rates, shedding dangerous amounts of mass in a matter of decades, not millennia.

Coupled global climate models, such as those that participated in the Paleoclimate Modeling Intercomparison Project (PMIP)(Jansen et al., 2007), in combination with improved paleo - climate records have led to better appreciation of the extent of extreme events that have occurred in the past (e.g., Cook et al., 2010b).

As understanding of the role of the biogeochemical cycles in the climate system improves, they should be explicitly represented in climate models.

As such data improve, so will the calculated models of climate.

In the meantime, their results have tentatively breathed a small hint of life back into the climate models, basically buying them a bit more time — time for either the observed temperatures to start rising rapidly as current models expect, or, time for the modelers to try to fix / improve cloud processes, oceanic processes, and other process of variability (both natural and anthropogenic) that lie behind what would be the clearly overheated projections.

The goal of PAGES» LandCover6k Working Group is to use pollen, archaeological and historical data to provide information on past land cover and land use change that can be used to evaluate and improve Anthropogenic Land - Cover Change (ALCC) scenarios for palaeoclimate modelling and the study of land - use as a climate forcing.

«As part of the agreement signed today, DKRZ and Bull will cooperate to improve the scalability of climate models and the corresponding software algorithms.

As a result of these enhancements, the CM2.5 model has a significantly improved simulation of many aspects of climate, particularly hydroclimate over continental regions (Delworth et al., 2012, Figures 5,6,7 and 9) and aspects of ocean circulation.

As we learn more about how the climate works, today and in the geological past, our understanding improves and the computer models are modified in different ways by different research teams to seek better predictions.

The climate feedbacks involved with these changes, which are key in understanding the climate system as a whole, include: + the importance of aerosol absorption on climate + the impact of aerosol deposition which affects biology and, hence, emissions of aerosols and aerosol precursors via organic nitrogen, organic phosphorus and iron fertilization + the importance of land use and land use changes on natural and anthropogenic aerosol sources + the SOA sources and impact on climate, with special attention on the impact human activities have on natural SOA formation In order to quantitatively answer such questions I perform simulations of the past, present and future atmospheres, and make comparisons with measurements and remote sensing data, all of which help understand, evaluate and improve the model's parameterizations and performance, and our understanding of the Earth system.