Sentences with phrase «data climate challenge»

CGIAR scientists wielding big data tools to blunt the impacts of climate change on Latin America's rice production have been named one of two winners of the Big Data Climate Challenge at the recent United Nations Climate Summit held in New York City, U.S.A.

Not exact matches

That distrust has been vindicated by revelations of dodgy uses of data and collusion to prevent the publication of studies challenging the climate science consensus.

Over the last two years, scientists from the United States, the United Kingdom, and Sweden have examined projections and current data to identify ways in which the dairy industry may respond to challenges such as population growth, urbanisation, and climate change, in order to meet increased demand for dairy products over the next half century.

Among the biggest bureaucratic challenges faced by the UK Space Agency is its management of applications for new satellites, which are viewed as critical because of their ability to provide data on the environment, climate, weather, security agriculture, coastal management and disaster mitigation.

«One of our biggest challenges was to make it possible to compare various measured data and climate archives from a wide variety of regions and filter out the natural noise that can greatly distort the signal of climate archives.»

«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.»

The study included 1,341 people, data collected by the Intergovernmental Panel on Climate Change, and focused on a specific partisan issue on which scientific consensus has been widely adopted by Democrats but challenged by Republicans.

Their work, which links ancient climate and archaeological data, could help modern communities identify new crops and other adaptive strategies when threatened by drought, extreme weather and other environmental challenges.

The Challenge: Find a way to cheaply log climate data and wirelessly transmit the data to the project organizers.

The survey results highlight the division between scientists and farmers over climate change and the challenges in communicating climate data and trends in non-polarizing ways, Prokopy said.

Improved data about the oceans from the Argo floats caused a splash this week as two studies in Nature Climate Change challenged conventional thinking.

One research challenge involves having just a few decades or a century of high - quality weather data with which to make sense of events that might occur once every 1,000 or 10,000 years in a theoretical climate without human influence.

Scientists unaffiliated with the study said it shows better data is needed to fully understand the extent of the climate challenge posed by landfill methane emissions.

But they do highlight a big challenge for climate modellers, and present major research opportunities both for modellers and for climate scientists who work with proxy data.»

To meet this societal need, the world climate research community is challenged by underlying science questions and the quality and coverage of the observational data that are used to monitor and understand extremes.

Tom appears challenged by the idea of building global climate models based on atmospheric physics and doing years of testing those models against actual data.

The endeavor becomes more scientifically challenging in light of the large variety of information sources about past climate, including tree rings, coral, glacier ice, and marine and lake sediments, not to mention the complicated array of data that are used to establish the timelines that underlie the paleoclimate records.

Maintaining data quality (DQ) for an organization with the size and complexity of the ARM Climate Research Facility is a significant challenge, and is managed by the ARM Data Quality Offdata quality (DQ) for an organization with the size and complexity of the ARM Climate Research Facility is a significant challenge, and is managed by the ARM Data Quality OffData Quality Office.

A novel system developed by Lawrence Livermore National Laboratory (LLNL) and nine partners, which enables climate researchers to solve their most complex data analysis and visualization challenges, has netted the team a Federal Laboratory Consortium (FLC) award.

It is challenging to create a climate of inclusion if there is little diversity on campus, so developing strategies for increasing diversity — and collecting data to clearly understand their progress — is important.

The Avalon team presents its traditional data, its school climate data, its innovative practices, its financial status, its future plans, and how it is addressing program challenges (such as institutional racism).

Functions The teacher leader: a) Increases the capacity of colleagues to identify and use multiple assessment tools aligned to state and local standards; b) Collaborates with colleagues in the design, implementation, scoring, and interpretation of student data to improve educational practice and student learning; c) Creates a climate of trust and critical reflection in order to engage colleagues in challenging conversations about student learning data that lead to solutions to identified issues; and d) Works with colleagues to use assessment and data findings to promote changes in instructional practices or organizational structures to improve student learning.

You get «Warm Regards,» a weekly conversation on climate science, science communication and the challenging intersection of data and decisions (and, too often, indecision).

Dr. Easterling said that the new analysis shows that the adjustments that are made to account for shifting patterns of climate - data collection (the same adjustments are among the targets of those challenging global warming evidence) are robust.

Richard Muller, a noted Berkeley physicist who's been a strident critic of climate campaigners, has released a much - anticipated new package of studies, along with all of his team's data and methods, that powerfully challenges one of the prime talking points of pundits and politicians trying to avoid a shift away from fossil fuels.

Now, though, a new study by Matthew Menne and other scientists at the National Climatic Data Center, the federal office charged with tracking climate trends, directly challenges the underpinnings of arguments that Bad Weather Stations = Faulty Climate Conclclimate trends, directly challenges the underpinnings of arguments that Bad Weather Stations = Faulty Climate ConclClimate Conclusions.

The burden of proof, again, is not on the person who bothered to make the Real Climate post, it's on the person who challenged him, to actually cite data, not simply rail against him with spurious claims of logical fallacies and rhetorical tricks you can not, seemingly, justify.

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.

Tom appears challenged by the idea of building global climate models based on atmospheric physics and doing years of testing those models against actual data.

Data - driven maintenance strategies, emerging technologies and service offerings, cold climate challenges, and health and safety best practices were discussed by the summit's line up of expert speakers from across North America.

Although the base issue of humans impacting the climate does not change, I challenge you to produce the data I asked for.

A new scandal is now emerging that fundamentally challenges the accuracy of climate - change data provided by the National Oceanic and Atmospheric Administration.

The wealth of data and provocative arguments presented here make «Smart Solutions to Climate Change» a valuable resource for policy - makers, NGOs, academics, students, and everybody who is interested in learning more about the economic realities that face us as we confront this challenge.»

Finding a way to reverse climate change is the foremost challenge of our time and the first step is collecting ocean data in order to help us understand how seawater chemistry is changing.

Climate science does this: it ignores data to the point of willful blindness, avoids data that contradicts its worldview in order that its comfortable theory is not challenged.

It builds on recent improvements in models, in the reanalysis of climate data, in methods of initialization and ensemble generation, and in data treatment and analysis to propose an extended comprehensive decadal prediction investigation as a contribution to CMIP6 (Eyring et al., 2016) and to the WCRP Grand Challenge on Near Term Climate Prediction (Kushnir et al.,climate data, in methods of initialization and ensemble generation, and in data treatment and analysis to propose an extended comprehensive decadal prediction investigation as a contribution to CMIP6 (Eyring et al., 2016) and to the WCRP Grand Challenge on Near Term Climate Prediction (Kushnir et al.,Climate Prediction (Kushnir et al., 2016).

However, I notice that none of the denizens of Climate Etc. who are proponents of CAGW have challenged my claim that «we know that there is absolutely no empirical data whatsoever to support this hypothesis (CAGW)?»

As a part of this special focus Cap Digital & RDA have created a special Challenge designed to connect Climate Change related Data Sets with startups, subject matter experts and larger organizations with practical application for these dData Sets with startups, subject matter experts and larger organizations with practical application for these datadata.

This challenge focuses on the creation of a visualization interface that would allow location - specific access to climate data sets using coordinates specified by the user or from mobile devices.

With over $ 35,000 in prizes, NASA, in partnership with USGS, will host the Climate Resilience Data Challenge — an effort to spur data innovation in support of resilience in communities and ecosystData Challenge — an effort to spur data innovation in support of resilience in communities and ecosystdata innovation in support of resilience in communities and ecosystems.

CAS = Commission for Atmospheric Sciences CMDP = Climate Metrics and Diagnostic Panel CMIP = Coupled Model Intercomparison Project DAOS = Working Group on Data Assimilation and Observing Systems GASS = Global Atmospheric System Studies panel GEWEX = Global Energy and Water Cycle Experiment GLASS = Global Land - Atmosphere System Studies panel GOV = Global Ocean Data Assimilation Experiment (GODAE) Ocean View JWGFVR = Joint Working Group on Forecast Verification Research MJO - TF = Madden - Julian Oscillation Task Force PDEF = Working Group on Predictability, Dynamics and Ensemble Forecasting PPP = Polar Prediction Project QPF = Quantitative precipitation forecast S2S = Subseasonal to Seasonal Prediction Project SPARC = Stratospheric Processes and their Role in Climate TC = Tropical cyclone WCRP = World Climate Research Programme WCRP Grand Science Challenges • Climate Extremes • Clouds, Circulation and Climate Sensitivity • Melting Ice and Global Consequences • Regional Sea - Ice Change and Coastal Impacts • Water Availability WCRP JSC = Joint Scientific Committee WGCM = Working Group on Coupled Modelling WGSIP = Working Group on Subseasonal to Interdecadal Prediction WWRP = World Weather Research Programme YOPP = Year of Polar Prediction

Did you notice how everyone wrote a lot of meaningless words, but no one actually challenged your work that concluded that the best estimate of climate sensitivity (ECS) of only 1.6 C using IPCC data?

Previously reported discrepancies between the amount of warming near the surface and higher in the atmosphere have been used to challenge the reliability of climate models and the reality of human - induced global warming... This significant discrepancy no longer exists because errors in the satellite and radiosonde data have been identified and corrected.

I note Gavin refers to non-climate scientists who challenge the AGW alarmists as «citizen scientists» perhaps he should consider the climate scientist who are doing data analysis as «citizen data analysts» because frankly from what I've read on these pages they seem to be a pretty amateurist bunch.

Scientists, Data Challenge Real Climate Touted Antarctic «Warming» Study — «It is hard to make data where none exist» — January 21, Data Challenge Real Climate Touted Antarctic «Warming» Study — «It is hard to make data where none exist» — January 21, data where none exist» — January 21, 2009

This new official data offers hope that China is shifting towards more climate - friendly path of development, but also perspective on the scale of the challenge.

One challenge in examining past climate data is in determining what should be treated as a forcing (driving a climate change) and what should be considered a feedback (amplifying or dampening a climate change).

Our knowledge base, however, is insufficient to quantify the effects of climate change on many of these metrics because of conceptual challenges posed by climate change to standard assumptions, as well as practical data and methodological hurdles; insufficient understanding of how such metrics capture the way people actually feel; and, for non-monetized values, sometimes resistance to calculating them at all (Sussman et al 2014, Neumann and Strzepek 2014).

The challenge of this position is to design and implement technical solutions for using that data to interpret the effects of climate change on British Columbia.

The two day conference, bringing together participants from the world of science and business, aimed to discuss how Big Data can help with challenges in modelling and monitoring climate change.