Sentences with phrase «observations and model data»

I then went to the ECMWF [the European Centre for Medium - Range Weather Forecasts] and drew down some high - resolution operational analysis data — a cocktail of observations and model data that combine to give a really good picture of the atmosphere.»

Not exact matches

Trend Hunter, he explains, is more than a website: It's a market research firm for the digital age, with a data - driven model that contrasts with more traditional «cool gurus,» who identify trends and dispense insightful pronouncements based solely on observation and «gut instinct.»

Working together, they will develop and test a variety of learning experiences in which students use online simulations to model energy - releasing and energy - requiring reactions, analyze and interpret data to make predictions about energy phenomena, and use evidence from their own observations or from simplified versions of scientific articles to explain phenomena and construct and critique arguments.

Medvigy and Jeong found that prediction modeling for the entire United States indeed improves dramatically when the analyses include data from macro-scale observations, meaning from multiple sites spread over a large area.

The meters produce data for the estimation and development of calculated flow models, and the observations are also part of the Gulf of Finland 2014 research,» points out the tour leader, Riikka Hietala, Head of Group from the Finnish Meteorological Institute.

Survey data gathered voluntarily from homeless youth in Los Angeles, as well as behavioral theories and observations of previous interventions, were used to build a computational model of the interventions.

And if enough people send in data, NASA researchers creating models of Earth's energy budget — the balance between the energy our planet receives from the sun and sends back out into space — could also analyze the observatioAnd if enough people send in data, NASA researchers creating models of Earth's energy budget — the balance between the energy our planet receives from the sun and sends back out into space — could also analyze the observatioand sends back out into space — could also analyze the observations.

«In contrast to the long tradition of field guides authored by expert natural historians, Map of Life draws on collective wisdom, amalgamating global data sets of species observations from published sources and using a series of modeling techniques to convert them into species range maps,» Goldsmith wrote.

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

Instead of building a model describing the microscale movement of individuals and confronting it with experimental data, the authors built a model of swarm behaviour that is consistent with experimental observations, in terms of swarm density, of individual midges» speed and acceleration.

Astronomical observations aren't detailed enough to settle the argument, and computer models require a complex mix of data from general relativity, plasma physics, and magnetic fields.

The team compiled data from many studies and for the first time synthesized observations and numerical model output to develop a cohesive view of the carbon cycle in a large coastal region.

Using published data from the circumpolar arctic, their own new field observations of Siberian permafrost and thermokarsts, radiocarbon dating, atmospheric modeling, and spatial analyses, the research team studied how thawing permafrost is affecting climate change and greenhouse gas emissions.

EWeLiNE combines these data with other atmospheric observations — from ground - based weather stations, radar and satellites — and sophisticated computer models predict power generation over the next 48 hours or so.

Rutgers University scientist Georgiy Stenchikov worked with Lioy and others to create the most up - to - date air contaminant model, using data about the region's wind, temperature, and humidity to supplement surface and space - based observations.

By combining satellite images of the ice sheet and wind stress data from observations and computer modeling, Greene and his collaborators were able to study the chain of events that brings the warm water to Totten.

They then used the earlier observations of the changing abundances of the three pairs of predators and prey — leveraging data sets collected by other scientists — to show how the models would apply.

Eri Saikawa, who studies air pollution and its health impacts at Emory University, and wasn't involved in the new study, plans to use Wiedinmyer's data in a model to see how it matches observations in China and Southeast Asia, and to see how trash burning might be contributing to the substantial amounts of air pollution there.

To check their model forecast, as the dry season has gotten underway, the researchers have compared their initial forecast with observations coming in from NASA's precipitation satellite missions» multisatellite datasets, as well as groundwater data from the joint NASA / German Aerospace Center Gravity Recovery and Climate Experiment (GRACE) mission.

In this technique, scientists initiate a computer model with data collected before a past event, and then test the model's accuracy by comparing its output with observations recorded as the event unfolded.

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.

Based on the data from both observations and modeling, it seems that an immigrant coming from the north is the more likely scenario, which is good, because that is what we want.

The ARM Climate Research Facility is managed to ensure it fulfills its mission to provide observation data to improve the understanding of climate processes and the representation of those processes in climate models.

Starting with data taken from observations of the cosmic background radiation — a flash of light that occurred 380,000 years after the big bang that presents the earliest view of cosmic structure — the researchers applied the basic laws that govern the interaction of matter and allowed their model of the early universe to evolve.

«We built several models of equal quality from the photometric data, but we favored a model made of two lobes since some of the best adaptive optics observations suggest that the Trojan asteroid has a dual structure,» said Josef Durech, co-author and researcher at the Charles University in Prague.

The project may involve the following topics: — Interaction of the solar wind with magnetised and unmagnetised planets — Space weather forecasts — Numerical (HPC) and analytical modelling of MHD wave processes and jets in solar and astrophysical plasma — MHD wave observations and solar magneto - seismology — Application of advanced data analysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMS (NASA)

We simultaneously fit these observations, ground - based photometry from Pepper et al. (2017), radial velocity data from Pepper et al. (2017), and an SED model utilizing catalog magnitudes and the Hipparcos parallax to the system.

This involves a combination of satellite observations (when different satellites captured temperatures in both morning and evening), the use of climate models to estimate how temperatures change in the atmosphere over the course of the day, and using reanalysis data that incorporates readings from surface observations, weather balloons and other instruments.

Rather than use a model - based estimate, as did Hansen (2005) and Trenberth (2009), the authors achieve this by calculating it from observations of ocean heat content (down to 1800 metres) from the PMEL / JPL / JIMAR data sets over the period July 2005 to June 2010 - a time period dominated by the superior ARGO - based system.

Huang, X., B.J. Soden, and D.L. Jackson, 2005: Interannual co-variability of tropical temperature and humidity: A comparison of model, reanalysis data and satellite observation.

The red and teal data points from observations match this corrected model well.

Finnish Meteorological Institute has been doing estimates of two essential sea ice parameters — namely, sea ice concentration (SIC) and sea ice thickness (SIT)-- for the Bohai Sea using a combination of a thermodynamic sea ice model and Earth observation (EO) data from synthetic aperture radar (SAR) and microwave radiometer.

Michel and colleagues took advantage of the wealth of geophysical data that have been collected in this region, using a catalog of earthquakes that have occurred in the area and models of the fault slip rate inferred from surface deformation given by Global Positioning System (GPS) and satellite observations of ground changes.

These include using the same model used to detect the planet instead to fit synthetic, planet - free data (with realistic covariance properties, and time sampling identical to the real data), and checking whether the «planet» is still detected; comparing the strength of the planetary signal with similar Keplerian signals injected into the original observations; performing Bayesian model comparisons between planet and no - planet models; and checking how robust the planetary signal is to datapoints being removed from the observations.

With the aid of global Earth observations and data - driven models, the researchers show that on average, extreme events prevent the uptake of around 3 petagrams carbon per year by the vegetation.

Ellen Howell (National Astronomy and Ionospheric Centre, NAIC, Arecibo Observatory) and Mikko Kaasalainen (Helsinki University) were provided with photometric data to support radar observations and asteroid shape modeling respectively.

Potential topics include: (1) Advanced numerical modelling of magnetic flux tubes / loops in the low solar atmosphere (2) Forward modelling of spectroscopic and narrowband EUV observations of the low solar atmosphere, (3) Solar Rotational Tomography of EUV and / or coronagraph coronal observations, (4) Automated detection and prediction of coronal mass ejections, (5) Analysis of solar wind turbulence observations by in situ spacecraft, (6) Eclipse instrumentation, observations and data analysis.

This formulation highlights a couple of important issues — that the observational data doesn't need to be direct (and the more complex the model, the wider range of possible constraints there are) and that the relationship between the observations and the sensitivity needs to be demonstrated (rather than simply assumed).

The meeting presentations will focus on synergies among various approaches and provide recommendations on how to improve the use of earth observations, ground data and modeling techniques for the improved understanding of land use sources and sinks.

The editors especially encourage the submission of high - resolution graphical information, animations of time - sequenced observations or simulations, and three - dimensional data models.

They were able to combine their data with observations from other telescopes and revealed an almost featureless spectrum that could not be completely explained by a blackbody model (blackbodies are opaque objects that emit thermal radiation).

In a new paper, Schneider et al. outline a blueprint for a next - generation climate model that would employ advancements in data assimilation and machine learning techniques to learn continuously from real - world observations and high - resolution simulations.

To improve parameterization, the researchers propose developing Earth system models that learn from the rich data sets now available (thanks, in large part, to satellite observations) and high - resolution simulations on local scales.

The ARM Aerosol Measurement Science Group (AMSG) coordinates ARM Climate Research Facility observations of aerosols and atmospheric trace gases with user needs to ensure advanced, well - characterized observational measurements and data products — at the spatial and temporal scales necessary — for improving climate science and model forecasts.

Scientists worldwide use the agency's field data, together with satellite observations and computer models, to tackle environmental challenges and advance our knowledge of how the Earth works as a complex, integrated system.

The slow feedbacks are difficult to model, but paleoclimate data and observations of ongoing changes help provide quantification.

It's a long paper with a long title: «Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2 oC global warming could be dangerous».

«Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2o C global warming could be dangerous»

The photodetector array camera and spectrometer (PACS) aboard the Herschel Space Observatory allows imaging observations in the far infrared at unprecedented resolution, i.e. at better than 6» to 12» over the wavelength range of 60 -LCB- \ mu -RCB- m to 210 -LCB- \ mu -RCB- m. Together with the results from ground - based observations, these spatially resolved data can be modelled to determine the nature of the debris and its evolution more reliably than would be possible from unresolved data alone.

They used a combination of field observations and data from local weather stations to test a model of glacier change over the past 50 years.