Sentences with phrase «ocean model data»

All runs are conducted using preindustrial (1850) land use conditions in order to conform with our best - available slab ocean model data; however the orbital conditions are set for the year 2000.

Alternatively, the deep - ocean model data that was used in Forest 2006 may differ from that used in SFZ 2008, which matches the deep - ocean data used in the CSF 2005 study, provided at an earlier date than was the SFZ 2008 surface and upper air data.

Not exact matches

However, the Facebook data was then used to generate sophisticated models of each of their personalities using the so - called «big five» personality traits and characteristics — openness, conscientiousness, extraversion, agreeableness, neuroticism (known as the OCEAN scale).

According to Nix, the success of Cambridge Analytica's marketing is based on a combination of three elements: behavioral science using the OCEAN Model, Big Data analysis, and ad targeting.

Millan, a UCI graduate student researcher in Earth system science, and his colleagues analyzed 20 major outlet glaciers in southeast Greenland using high - resolution airborne gravity measurements and ice thickness data from NASA's Operation IceBridge mission; bathymetry information from NASA's Oceans Melting Greenland project; and results from the BedMachine version 3 computer model, developed at UCI.

The military uses the microwave information to detect ocean wind speeds to feed into weather models, among other uses, but the data happen to be nearly perfect for sensing sea ice, says Walt Meier, a sea - ice specialist with the NSIDC.

Doug Smith at the UK Met Office fed key data such as ocean temperatures, air pressure and wind speeds for every year from 1960 to 1995 into DePreSys, a model already used to predict weather a decade ahead.

«The new data set will allow us to check if our ocean models can correctly represent changes in the flow of warm water under ice shelves,» he added.

One day, oceanographers hope Spray and other gliders will be able to roam the oceans at will, providing an almost limitless supply of data that could be used to build more sophisticated climate models and develop better weather forecasts.

The pollution and its impact was described by 200 scientists working on the Indian Ocean Experiment, supplemented by new satellite data and computer modeling.

By combining this data with Ridgwell's global climate model, the team deduced the amount of carbon added to the ocean and atmosphere and concluded that volcanic activity during the opening of the North Atlantic was the dominant force behind the PETM.

It's modeled after the NEPTUNE and VENUS projects, the largest deep ocean observatory networks in the world, which extend the Internet out into the Northeast Pacific in order to gather data.

Yet, this model of the quake does not match up well with the information from the ocean floor sensors — incorporating that data into future computer simulations should give a better picture of what actually happened during the massive tectonic event.

The model was developed recently by the US government's National Oceanographic and Atmospheric Administration (NOAA) to make use of new sea and wind data collected from instruments moored across the Pacific as part of the international Tropical Ocean / Global Atmosphere (TOGA) research programme.

«While the detection of greening is based on data, the attribution to various drivers is based on models,» said co-author Josep Canadell of the Oceans and Atmosphere Division in the Commonwealth Scientific and Industrial Research Organisation in Canberra, Australia.

Goddard's computer models, with input from ocean buoys, atmospheric models, satellite data and other sources, can also simulate what ocean water temperatures could do in the coming months.

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.

For assessing the global ocean - carbon sink, McKinley and her co-authors from the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory, NCAR and the University of Colorado Boulder used the model to establish a long - running climate scenario from historical data.

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.

By incorporating these data into an M.I.T. model, the result is «realistic descriptions of how ocean circulation evolves over time,» according to the press release.

This estimate was compared with results from an ocean model - data synthesis from ECMWF and a leading atmospheric model - data synthesis produced in the US.

To develop the model, they compared historic fire data from NASA's Terra satellite with sea surface temperature data in the tropical Pacific and North Atlantic oceans from buoys and satellite images compiled by the National Oceanic and Atmospheric Administration.

The researchers» forecasts are based on the AWI's BRIOS (Bremerhaven Regional Ice - Ocean Simulations) model, a coupled ice - ocean model that the team forced with atmospheric data from the SRES - A1B climate scenario, created at Britain's Met Office Hadley Centre in ExOcean Simulations) model, a coupled ice - ocean model that the team forced with atmospheric data from the SRES - A1B climate scenario, created at Britain's Met Office Hadley Centre in Exocean model that the team forced with atmospheric data from the SRES - A1B climate scenario, created at Britain's Met Office Hadley Centre in Exeter.

The model also generated acoustic data; an interesting revelation of the simulation was that tsunamigenic surface - breaking ruptures, like the 2011 earthquake, produce higher amplitude ocean acoustic waves than those that do not.

The new findings on Arctic Ocean salinity conditions in the Eocene were calculated in part by comparing ratios of oxygen isotopes locked in ancient shark teeth found in sediments on Banks Island in the Arctic Circle and incorporating the data into a salinity model.

«The data of the model simulation was so close to the deep ocean sediment data, that we knew immediately, we were on the right track,» said co-author Dr Laurie Menviel from the University of New South Wales, Australia, who conducted the model simulation.

But for a forecast model to work, he says, «We have to resolve the boundary conditions ---- data on tides and winds — very far away, out into the open ocean.

They initialized SELFE by entering data on normal tidal conditions along the model's open - ocean boundary, which is drawn almost 1,500 miles offshore.

To better understand the physical mechanisms of rapid ocean adjustment, the data was compared with a climate model simulation which covers the same period.

The researchers used a climate model, a so - called coupled ocean - atmosphere model, which they forced with the observed wind data of the last decades.

For more information on the ECCO2 ocean modeling and data synthesis project, visit: http://ecco2.jpl.nasa.gov/.

Titanic international projects that are just kicking off, including the National Science Foundation - funded Ocean Observatories Initiative and Southern Ocean Carbon and Climate Observations and Modeling project, promise to pile on reams of new data and knowledge in the coming years — not all of it expected to be postcard pretty.

The researchers plugged that trash census data into ocean models, which simulate the circulation of the world's waters.

Using data from both models, Nienhuis determined the ratio of river - to - ocean wave strength for each delta, and found that those deltas with a ratio greater than or equal to 1 were more likely to have multiple river channels, with deltas that project out from the shoreline.

Laurent Lebreton of the Ocean Cleanup in Delft, the Netherlands, and his colleagues gathered data from aerial surveys and ships» nets, and fed it into a computer model.

A good model is the Ocean Sampling Day's citizen's science campaign, which recruits citizens to help obtain environmental data.

(C) Models that will benefit from Tara Oceans data.

Scientists are involved in the evaluation of global - scale climate models, regional studies of the coupled atmosphere / ocean / ice systems, regional severe weather detection and prediction, measuring the local and global impact of the aerosols and pollutants, detecting lightning from space and the general development of remotely - sensed data bases.

For the new study, Thomas Rackow and his colleagues fed actual position and size data of 6,912 Antarctic icebergs into the Finite Element Sea Ice - Ocean Model FESOM, which they combined with a dynamic - thermodynamic iceberg model (both of which were developed at the Model FESOM, which they combined with a dynamic - thermodynamic iceberg model (both of which were developed at the model (both of which were developed at the AWI).

By providing new data on how CO2 cycles through land and ocean plants, HIPPO will allow researchers to improve the accuracy of their climate models and reduce that uncertainty, Stephens said.

To achieve such integration, Tara Oceans is driven by researchers with expertise in biological and physical oceanography, ecology, microbiology, systematics, molecular, cellular and systems biology, bioinformatics, data management, and modeling.

Numerical Modeling, Predictability and Data Assimilation in Weather, Ocean and Climate — A Symposium Honoring the Legacy of Anna Trevisan The Symposium will be held

Gavin - Here is Climate Science's follow up to your continued refusal to update the GISS model comparison with the ocean heat content change data — http://climatesci.org/2008/05/26/challenge-to-real-climate-on-their-prediction-of-global-warming/.

The GOA - ON Requirements and Governance Plan provides both broad concepts and key critical details on how to meet our high level goals of: 1) to improve our understanding of global ocean acidification conditions; 2) to improve our understanding of ecosystem response to ocean acidification; 3) and to acquire and exchange the data and knowledge necessary to optimize the modeling of ocean acidification and its impacts.

The raw data are analyzed and computer models are created, visually indicating present ocean conditions.

Future ocean projections for the year 2100 were compiled from all available data generated by Earth Systems Models as part of the Coupled Model Inter-comparison Project Phase 5 (CMIP5) to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (Taylor et al., 2012) as in Mora et al. (2013).

Methods: The study combines computer modeling with satellite data over the Southern Ocean, the vast sea surrounding Antarctica.

The ETOPO1 Global Relief Model from the NOAA National Geophysical Data Center (www.ngdc.noaa.gov/mgg/global/) was used for the global ocean depth.

Influence of physical forcing on planktonic ecosystems and elemental cycling; mesoscale ocean dynamics; primary production; coastal circulation; zooplankton population dynamics; harmful algal blooms; numerical modeling and data assimilation.

Figure 3 is the comparison of the upper level (top 700m) ocean heat content (OHC) changes in the models compared to the latest data from NODC and PMEL (Lyman et al (2010), doi).