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.
Not exact matches
In June 2015, NOAA researchers
led by Thomas Karl published a paper in the journal Science comparing the new and previous NOAA sea surface temperature
datasets, finding that the rate of
global warming since 2000 had been underestimated and there was no so - called «hiatus» in warming in the first fifteen years of the 21st century.
We are already taking action by making data and codes available, and we have
led an international proposal for a new
global daily land surface temperature
dataset, which has the backing of the World Meteorological Organization and has open access as its key element.
An omission in processing a correction algorithm
led to some small errors on the
Global Historical Climatology Network - Monthly
dataset (GHCN - M v3.2.0).
«We're the first to have developed a strategy using data assimilation to successfully forecast the evolution of magma overpressures beneath a volcano using combined ground deformation
datasets measured by
Global Navigation Satellite System (more commonly known as GPS) and satellite radar data,» explains Mary Grace Bato,
lead author of the study and a researcher at the Institut des Sciences de la Terre (ISTerre) in France.
The two agencies use slightly different methods of assembling the
global temperature data,
leading to the slightly varying numbers, though both
datasets show the clear warming of the planet.
World Meteorological Organization also confirmed 2017 as being among the three warmest years, and the warmest year without an El Niño, by consolidating the five
leading international
datasets, including HadCRUT4, which showed that overall the
global average surface temperature in 2017 was approximately 1.1 ° Celsius above the pre-industrial era.
It seems likely that similar poor siting biases also exist in
global thermometer
datasets, and this has probably
led to an overestimation of the amount of «
global warming» since the 19th century.
To expand the coverage of
global gridded reanalyses, the 20th Century Reanalysis Project is an effort
led by PSD and the CIRES at the University of Colorado to produce a reanalysis
dataset spanning the entire twentieth century, assimilating only surface observations of synoptic pressure, monthly sea surface temperature and sea ice distribution.
NOAA has
led the world in collecting and disseminating
global temperature data and maintains the longest
dataset of such data — so the release of new data is always highly anticipated by climate scientists.