Sentences with phrase «reduce uncertainties in projections»

Data from our «eyes» in space allow us to verify our simulations of past and current climate, which, in turn, helps us reduce uncertainties in projections of future climate,» said Josh Fisher, a co-author on the study who works at NASA's Jet Propulsion Laboratory in a release.

Not exact matches

An important goal of climate research is to reduce and characterize uncertainty in the climate change projections so that they can be more useful for assessing climate change impacts and developing adaptation and mitigation strategies.

Understanding how well climate models represent these processes will help reduce uncertainties in the model projections of the effects of global warming on the world's water cycle.

In the end the improvement of climate projections depends upon reducing both sources of uncertainty and arriving at joint probability profiles.

Scientists are using airborne observations of atmospheric trace gases, aerosols, and cloud properties from the North Slopes of Alaska to improve their understanding of global climate, with the goal of reducing the uncertainty in global and regional climate simulations and projections.

If we can get climate models to more credibly simulate current cloud patterns and observed cloud changes, this might reduce the uncertainty in future projections

In the end the improvement of climate projections depends upon reducing both sources of uncertainty and arriving at joint probability profiles.

To reduce uncertainties in climate - change projections, it is essential to prioritize the improvement of the most important uncertain physical processes in climate models.

Based on our inferred close relationship between past and future temperature evolution, our study suggests that paleo - climatic data can help to reduce uncertainty in future climate projections.

• Reduce uncertainties in climate change projections by applying experimental design to make more efficient use of computational resources.

The Process Study and Model Improvement (PSMI) Panel's mission is to reduce uncertainties in the general circulation models used for climate variability prediction and climate change projections through an improved understanding and representation of the physical processes governing climate and its variation.

And beyond the post-facto model evaluation, it will be interesting to see whether new climate models will take advantage of emergent constraints to improve their simulation of present - day climate and to reduce uncertainties in future projections.

Through NGEE - Tropics, we plan to dramatically reduce this uncertainty to improve future climate projections,» says Jeff Chambers, an ecologist in Berkeley Lab's Earth Sciences Division and the Principal Investigator and Project Director of NGEE - Tropics.

Improved understanding of key physical processes and inclusion of them in models, together with improved projections of changes in the surrounding ocean, are required to notably reduce uncertainties and to better quantify worst - case scenarios.

«Finally, Lorenz's theory of the atmosphere (and ocean) as a chaotic system raises fundamental, but unanswered questions about how much the uncertainties in climate - change projections can be reduced.

A key problem for reducing the uncertainty in climate projections is historical records of change are often too short to test the skill of climate models, raising concerns over our ability to successfully plan for the future.

And we are in discussions with colleagues at several other institutions to scale up and broaden this effort into a larger initiative that has as its objective the development of an automatically learning ESM — with the ultimate goal of delivering climate projections with substantially reduced and quantified uncertainties.

By the statistical evaluation of the different climate developments simulated, the uncertainties in climate projections can be better estimated and reduced, for example, for rainfall trends.

The decision analytic framework of reducing scientific uncertainty in support of optimal decision making strategies regarding CO2 mitigation has arguably resulted in unwarranted high confidence in future projections and relative neglect of natural climate variability and the possibility of black swans and dragon kings.