Sentences with phrase «climate modeling approaches»

Both studies are part of a model improvement plan to compare different high - resolution climate modeling approaches and find the impacts of model resolution on results.

A new climate modeling approach that combines a detailed regional model with a more wide - ranging global model was developed by a team of researchers at Pacific Northwest National Laboratory, in collaboration with the University...

The approach that you are presenting is, in contrast, a top - down global climate model approach to assess vulnerability, which is referred to as «outcome vulnerability».

A new climate modeling approach that combines a detailed regional model with a more wide - ranging global model was developed by a team of researchers at Pacific Northwest National Laboratory, in collaboration with the University of Wyoming.

This project will use a novel climate modelling approach to improve our understanding of drivers of climate variability on decadal timescales in Europe and North America.

Not exact matches

The main efforts of governments continues to focus too on a top - down structure of climate governance, guided by a «targets and timetables» approach that mirrors the Montreal model.

Three approaches were used to evaluate the outstanding «carbon budget» (the total amount of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple model.

In 2009, the northern hemisphere of Titan passed its spring equinox, when it begins tilting toward the sun, and climate models predicted that the increased light would kick up winds as the moon approaches summer in 2017.

The approach proposed in the paper combines information from observation - based data, general circulation models (GCMs) and regional climate models (RCMs).

«Climate science is a «data - heavy» discipline with many intellectually interesting questions that can benefit from computational modeling and prediction,» said Dovrolis, a professor in the School of Computer Science, «Cross-disciplinary collaborations are challenging at first — every discipline has its own language, preferred approach and research culture — but they can be quite rewarding at the end.»

An ethical approach to climate change including consideration of wealth redistribution to repay «climate debt» is one model for doing this.»

The model used real - world measurements of metabolism and built on them to establish temperature comfort standards, a bottom - up approach that can be tweaked to accommodate different office cultures, workplace demographics and climate conditions.

Using an interdisciplinary approach that combined evidence from climate modelling of large 20th - century eruptions, annual measurements of Nile summer flood heights from the Islamic Nilometer — the longest - known human record of environmental variability — between 622 and 1902, as well as descriptions of Nile flood quality in ancient papyri and inscriptions from the Ptolemaic era, the authors show how large volcanic eruptions impacted on Nile river flow, reducing the height of the agriculturally - critical summer flood.

«Being based on climate records, this approach avoids any biases that might affect the sophisticated computer models that are commonly used for understanding global warming.»

Saba, who has conducted modeling studies on the impacts of climate change on endangered leatherback turtles in the eastern Pacific Ocean, says the Northwest Atlantic loggerhead study offers a new approach in understanding how climate variability affects sea turtle populations.

The researchers developed a novel approach to the issue by using climate data from the IPCC and directly modeling all of the components that cause flooding at the coast including, waves, tides, winds blowing over the surface of the ocean and estuaries, precipitation, and stream flow.

In a paper released Sunday in the journal Nature Climate Change, Smead, Sandler, and their colleagues, including Northeastern Assistant Professor John Basl, put forth a new modeling approach that examines this very problem.

Through an ensemble modeling approach, we were able to show that without anthropogenic effects, the droughts in the southwestern United States would have been less severe,» says co-author Axel Timmermann, Director of the newly founded IBS Center for Climate Physics, within the Institute for Basics Science (IBS), and Distinguished Professor at Pusan National University in South Korea.

For the first time, their study combines the strengths of simulations based on integrated energy - economy - climate models that estimate cost - optimal long - term strategies to meet climate targets with life cycle assessment approaches.

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.

And, because it eschews complex physical climate models for a statistical, data - driven modeling approach, it is relatively «simple and parsimonious,» Kalra said.

Scientists have combined genetic analyses with new modeling approaches for the first time to help identify how well balsam popular trees are adapted to handle climate change.

«As Earth continues to warm, it may be approaching a critical climate threshold beyond which rapid and potentially permanent — at least on a human time - scale — changes not anticipated by climate models tuned to modern conditions may occur,» the report says.

This approach is a natural fit for climate science: a single run of a high - resolution climate model can produce a petabyte of data, and the archive of climate data maintained by the UK Met Office, the national weather service, now holds about 45 petabytes of information — and adds 0.085 petabytes a day.

To determine the ideal mitigation policy, a research team led by Princeton University, the University of Vermont and the University of Texas at Austin employed a climate - economic model to examine two ethical approaches to valuing human population.

This integrative, multidisciplinary team will consider feedbacks between climate, ecological, and human belief systems using a quantitative modeling approach.

The Mathematics of the Weather is a forum for the discussion of new numerical approaches for use in numerical forecasting, climate modelling and research into numerical modelling of the atmosphere.

There are two possibilities: 1) using a climate model, this implies a perfect knowledge of all involved climatic mechanisms, and nobody has such a knowledge yet; 2) use a simpler phenomenological approach.

The researchers will then code the approach so it can be used in coarse - resolution global climate models.

The PNNL team is currently applying the approach, which grew out of the Aerosol Climate Initiative, to other types of simulations, so that future high - resolution climate models will solve the mystery surrounding aerosol - cloud interaClimate Initiative, to other types of simulations, so that future high - resolution climate models will solve the mystery surrounding aerosol - cloud interaclimate models will solve the mystery surrounding aerosol - cloud interactions.

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.

This novel approach finds local populations in the North Pacific and Northwest Atlantic are regionally synchronized and strongly correlated to ocean conditions — such that climate models alone explain up to 88 % of the observed changes over the past several decades.

As we approach the targets given in Paris, the amount of precision we need on these allowable carbon budgets — to meet the temperature changes — is going to get sharper and sharper, and so we're going to need better climate models to address those carbon budget issues.

Nonetheless, the researchers believe a new computational approach to climate modeling can and should start now.

Our approach is a significant advance on previous models, as we incorporate the lake index as a proxy for local climate, together with regional and global paleoclimate records.

Furthermore, all approaches that use the climate's time evolution attempt to account for uncertainty due to internal climate variability, either by bootstrapping (Andronova and Schlesinger, 2001), by using a noise model in fingerprint studies whose results are used (Frame et al., 2005) or directly (Forest et al., 2002, 2006).

Be that as it may, all these studies, despite the large variety in data used, model structure and approach, have one thing in common: without the role of CO2 as a greenhouse gas, i.e. the cooling effect of the lower glacial CO2 concentration, the ice age climate can not be explained.

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.

Moving towards unstructured climate model domains (current models use a square / rectangular domain, but using mesh approaches is the next step).

Another approach uses the response of climate models, most often simple climate models or Earth System Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., models, most often simple climate models or Earth System Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., models or Earth System Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., 2006).

This approach accounts for the delayed response of the climate system caused by the large thermal inertia of the ocean, yielding a global mean temporal response in close accord with that obtained from global climate models.

This empirical climate sensitivity is generally consistent with that of global climate models [1], but the empirical approach makes the inferred high sensitivity more certain and the quantitative evaluation more precise.

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People living in Canada's western provinces are facing hotter temperatures than predicted in the decades to come, a new climate - modelling approach from McGill University suggests.

One approach to forecasting the natural long - term climate trend is to estimate the time constants of response necessary to explain the observed phase relationships between orbital variation and climatic change, and then to use those time constants in the exponential - response model.

For instance, in almost all of my work I have emphasised the need to forward model proxy data within climate simulations so that all of the processes by which proxy data is recorded can be simulated, rather than using the inverse approach you discuss.

also use a downscaling approach applied to more - or-less the very same climate model simulations.

(in general, whether for future projections or historical reconstructions or estimates of climate sensitivity, I tend to be sympathetic to arguments of more rather than less uncertainty because I feel like in general, models and statistical approaches are not exhaustive and it is «plausible» that additional factors could lead to either higher or lower estimates than seen with a single approach.

This issue can however be avoided completely by using the actual radiative transfer model to examine climate model output, and that kind of approach was used in Hansen et al (2002) to show that the climate models can match the surface record, the MSU 2 channel and the MSU 4 channel completely consistently.