Sentences with phrase «global dataset»

A "global dataset" refers to a collection of information or data that covers the entire world. It includes data from various regions, countries, or continents, providing a comprehensive understanding of a particular topic or phenomenon on a global scale. Full definition
The research combines analysis of comprehensive global datasets with global models of atmospheric, land surface, and oceanic processes.
Global dataset providers make their own decisions about which data to include and how to undertake their own data analyses.
The most recent decades of non-random adjustments are clearly an attempt by agenda scientists to rid the NOAA global dataset of the very inconvenient and embarrassing 21st century «pause», also called the «hiatus.»
(related: recent NOAA global dataset analysis)
«It's just a simple question, but it required a large global dataset to answer,» Balch said.
Company Firmographic data and language for 50k high - growth companies that have received venture capital funding since 2012, on top of a greater global dataset of over 1.8 M companies
«We understood from a plant perspective how to bring evolutionary questions to their unique global dataset,» Hedin said.
Betts and a team of researchers at Oregon State and BirdLife International, a nonprofit organization, reached their conclusions by analyzing global datasets of forest habitat and species extinction risk.
Long - term global datasets are often cobbled together from many different satellite and ground - based observations, and different measurements of the same variable often disagree.
There are also global datasets of indices representing the more extreme aspects of climate called CLIMDEX, providing a list of 27 core climate extremes indices (so - called the «ETCCDI» indices, referring to the «CCl / CLIVAR / JCOMM Expert Team on Climate Change Detection and Indices»).
Now, a recent study in the Quarterly Journal of the Royal Meteorological Society finds that not only is the Arctic warming eight times faster than the rest of the planet, but failure to account for temperature gaps has led global datasets to underestimate the rise of temperatures worldwide.
In an unpublished paper, Watts et al. raise new questions about the adjustments applied to the U.S. Historical Climatology Network (USHCN) station data (which also form part of the GHCN global dataset).
The above chart plots the changing 3 - year linear trend slopes using monthly observations going back to 1850 (this is the HadCRUT4 dataset from the UK climate research agency - it is the only global dataset going back that far).
In contrast, general circulation models of the coupled thermosphere and ionosphere predict dramatic responses to changing solar energy inputs (figure 4), but a lack of global datasets precludes comprehensive validation.
Note: Above chart uses the NCDC global dataset published through March 2013.
Monthly precipitation data was taken from the WorldClim global dataset, and evapotranspiration data was taken from the FAO - adopted monthly reference produced by the Climate Research Unit at the University of East Anglia.
Sheffield, J., Goteti, G. & Wood, E. F. Development of a 50 - yr high - resolution global dataset of meteorological forcings for land surface modeling.
ABSTRACT: A new global dataset of derived indicators has been compiled to clarify whether frequency and / or severity of climatic extremes changed during the second half of the 20th century.
U.S. hurricanes, for example, are responsible for 58 percent of the increase in the property losses in the Munich Re global dataset.
The earliest monthly global dataset that we have available from NASA is the one produced for the August 2005 reporting period.
Global dataset developers (e.g. Brohan et al., 2006) acknowledge that those 19th century temperatures on land are likely to be warm - biased in many locations.
As done with a previous article involving the analysis of the satellite record of temperature acceleration warming trends, the same can be accomplished with the HC4 global dataset.
And this good news comes to us from the IPCC's own gold - standard for temperature observations - the UK's HadCRUT4 global dataset.
The research team created the largest global dataset to date of two diverse taxa in cities: birds (54 cities) and plants (110 cities).
National Center for Atmospheric Research and UCAR Office of Programs, «Drought's Growing Reach: NCAR Study Points to Global Warming as Key Factor,» press release (Boulder, CO: 10 January 2005); Aiguo Dai, Kevin E. Trenberth, and Taotao Qian, «A Global Dataset of Palmer Drought Severity Index for 1870 — 2002: Relationship with Soil Moisture and Effects of Surface Warming,» Journal of Hydrometeorology, vol.
In the new paper, McCreless and colleagues fill in many of these knowledge gaps by analyzing the Threatened Island Biodiversity Database, a recently developed, global dataset of threatened native species and invasive mammals on islands.
The researchers also compared recordings from a given country only to recordings of its neighbouring countries to discover music cultures that are not distinct compared to the global dataset but are still unique compared to their spatial neighbours.
The researchers drew on three global datasets to try to hone in on land's changing contribution to global warming.
Neighbor - joining tree based on the Lynch distance for the global dataset.
Examining national averages extracted from our global dataset, we estimate that 10 countries set new records for their hottest observed year: Argentina, Djibouti, Kenya, Madagascar, Mauritius, Mexico, Morocco, Portugal, Spain, and Uruguay
Each of the four global datasets, as well as the satellite measurements, have advantages and disadvantages, by virtue of their different approaches to tackling some of the main issues with taking earth's temperature.
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