Sentences with phrase «data measurement network»

Not exact matches

«On the whole, Snap was the lowest rated relative to other Social networks, given low relative marks on return on investment; targeting; and data, analytics and measurement,» wrote Blackledge in a note published Thursday.

Before Aereo, Kanojia founded Navic Networks, which built technology that offered TV networks tools that use real - time audience measuremeNetworks, which built technology that offered TV networks tools that use real - time audience measuremenetworks tools that use real - time audience measurement data.

For intelligent and networked data processing, at Interpack, Minebea Intec will be presenting a new software release for statistical process controls: SPC@Enterprise 3.0 converts all measurement data into useful information, even in the areas of foreign body detection and dynamic checkweighing, which help to ensure product quality, food safety and productivity.

Ben's research focuses on the measurement of political preferences from survey, voting, network and text with a particular focus on using text data.

For this purpose, the researchers have thoroughly evaluated the earthquake activity by combining the two major Turkish Earthquake Measurement Networks with measurement data from the GFZ Plate Boarder Observatory within the framework of a German - Turkish cooperatiMeasurement Networks with measurement data from the GFZ Plate Boarder Observatory within the framework of a German - Turkish cooperatimeasurement data from the GFZ Plate Boarder Observatory within the framework of a German - Turkish cooperation project.

In 2014, Australian coastal researchers called for the creation of a national coastline observatory, with basic data — such as sub-aerial profiles, bathymetry and inshore wave forcing measurements — collected routinely from a network of around 20 «representative» beaches across Australia.

For the first time, the researchers have proved that both the worldwide measurement network NDACC with its ground stations and modern weather satellites provide reliable global data for the isotope composition of tropospheric water vapor.

The newly available data gives researchers a treasure trove of measurements they can use to better understand how space weather works and how best to protect critical infrastructure, such as the nation's satellites, aircraft, communications networks, navigation systems, and electric power grid.

In addition to the measurements, the researchers are evaluating publicly accessible data from social networks like Twitter, Facebook, Flickr and Instagram.

Using U.S. Weather Service data on precipitation, radiosonde measurements of CAPE and lightning - strike counts from the National Lightning Detection Network at the University of Albany, State University of New York (UAlbany), they concluded that 77 percent of the variations in lightning strikes could be predicted from knowing just these two parameters.

Northeast Charter Schools Network CEO Kyle Rosenkrans said, «While we sort through the data to see exactly how charter students performed, we can say with confidence that the high participation rates once again prove that charter educators and parents embrace assessment and measurement and are unafraid of what they might show.

This is a well - established methodology, pushed to constrain US anthropogenic emissions by including measurements from aircraft and communications towers in addition to the ever - invaluable NOAA flask sample network, and incorporating socioeconomic and industrial data.

[Response: While the raw data at any one station at any one time obviously doesn't change, the value for any regional or global average in the past is always an estimate since there isn't a perfect network of measurements across the whole area.

(Actually, there are measurements at some sites before 1861, but this date is generally chosen as the first time when there is a dense enough network of data available to make a global average meaningful).

The DKRZ long - term archive WDCC (World Data Center for Climate) has assigned its 1000th DataCite DOI to the experiment OceanRAIN - M of the project «Ocean Rainfall And Ice - phase precipitation measurement Network».

Since around 2000, a network of buoys called the Argo floats have been collecting more accurate global ocean data, so more recent measurements of the southern hemisphere are more reliable.

Aside from continuing to misunderstand that the «missing heat» is about having an inadequate global climate observational network (mainly because we don't have good measurements of deep ocean heat), observational data have demonstrated that water vapor, and likely clouds, are indeed positive feedbacks.

To conduct the research, a team of scientists led by John Fasullo of the US National Center for Atmospheric Research in Boulder, Colorado, combined data from three sources: NASA's GRACE satellites, which make detailed measurements of Earth's gravitational field, enabling scientists to monitor changes in the mass of continents; the Argo global array of 3,000 free - drifting floats, which measure the temperature and salinity of the upper layers of the oceans; and satellite - based altimeters that are continuously calibrated against a network of tide gauges.

Archived total ozone column measurements from the World Meterological Organization (WMO)- Global Atmosphere Watch (GAW) network routinely deposited at the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) in Toronto, Canada (http://www.woudc.org) are utilized for the ground - based measurements reference.

In the Netherlands, ECN has deployed the standalone Windcube in its measurement network to provide bankable data to support the Dutch government's ambitious offshore wind installation targets.

This year, an effort was made to provide rapid - release ice thickness data through coordinated measurement campaign in March and April by NASA's IceBridge Team, the SIZONet Arctic Observing Network project, the Naval Research Laboratory and industry (Fugro).

It has been noted by investigators that the algorithms used for adjusting satellite observed SST data has been inconsistent, cloud coverage has limited the adequacy of satellite coverage, and in - situ measurements by VOS and buoy networks has been inadequate with respect to the datasets produced by the Advanced Very High Resolution Radiometers (AVHRR), Cross Product Sea Surface Temperature (CPSST), Non-Linear SST (NLSST), and Multi-Channel Sea Surface Temperature (MCSST) methods.

Using U.S. Weather Service data on precipitation, radiosonde measurements of CAPE and lightning - strike counts from the National Lightning Detection Network at the University of Albany, State University of New York (UAlbany), they concluded that 77 percent of the variations in lightning strikes could be predicted from knowing just these two parameters.

These surface networks have had so many changes over time that the number of stations that have been moved, had their time of observation changed, had equipment changes, maintenance issues, or have been encroached upon by micro site biases and / or UHI using the raw data for all stations on a national scale or even a global scale gives you a result that is no longer representative of the actual measurements, there is simply too much polluted data.

Since the TAR, availability of new data from various measurement networks and from national reporting documents has enabled re-estimates of CH4 source magnitudes and insights into individual source strengths.

Integrate AON sea - ice measurements into global observational networks and data assimilation efforts through national and international mechanisms, e.g., SAON, CliC Arctic Sea Ice Working Group, an Arctic Observing Summit.

Using surface measurements of maximum and minimum temperatures from the Global Daily Climatological Network data set, we find evidence of a weekly cycle in diurnal temperature range (DTR) for many stations in the United States, Mexico, Japan, and China.

The new study is based on data from a worldwide NASA - funded measurement network.

Global average temperature The mean surface temperature of the Earth measured from three main sources: satellites, monthly readings from a network of over 3,000 surface temperature observation stations and sea surface temperature measurements taken mainly from the fleet of merchant ships, naval ships and data buoys.

Particularly in the pre-satellite era (around 1979), data is relatively sparse and reliant on networks of in - situ measurements.

Worldwide networks of buoys along with programs such as OSCAR (Ocean Surface Currents Analysis Real - time), which calculates surface currents based on satellite measurements, provide scientists with data on which to build and test their models.

We did so by estimating monthly fluxes and their uncertainty over a one - year period between June 2009 and May 2010 from 1) observational data collected in existing networks of surface CO2 measurement sites (GLOBALVIEWCO2 2010; extrapolated to the year 2010) and 2) both the surface observations and column - averaged dry air mole fractions of CO2 (XCO2) retrieved from GOSAT soundings.