These sets of data are constructed by taking the high and the low temperature of the stations around the planet and averaging the temperatures until
the annual average temperature anomaly is reached.
Bars representing each country's
annual average temperature anomaly pulse up and down.
Bars representing each country's
annual average temperature anomaly pulse up and down.
Annual average temperature anomalies.
Annual average temperature anomalies.
Not exact matches
The
annual temperature anomalies for 1997 and 1998 were 0.51 °C (0.92 °F) and 0.63 °C (1.13 °F), respectively, above the 20th century
average, both well below the 2015
temperature departure.
Which of the various data sets of
average annual global
temperature anomaly is closest to the truth?
But even then the «fraction of the
anomaly due to global warming» is somewhat arbitrary because it depends on the chosen baseline for defining the
anomaly — is it the
average July
temperature, or typical previous summer heat waves (however defined), or the
average summer
temperature, or the
average annual temperature?
Furthermore, time series of
annual average temperature and rainfall
anomalies in temperate Australia are anti-correlated.
:: An Anamoly describes the sum of difference over a year, when this sum is added to the baseline
Temperature,
average annual global
Temperature for the year is described, when this figure is added to the population the
average is increased, if the
Anomaly is positive.
The focus on
anomalys has distracted from the most relevant metric, Global
Annual Average Temperature, which has been increasing every year for the last 10 and longer, meaning no «Plateau»..
Bottom: An «
anomaly plot»; the
annual global
temperature trend over time where the
average from 1951 — 1980 is set to 0.
This mantra refers to a complex non-linear dynamic system with
annual variation in forcing greater than 80Wm - 2 (20Wm - 2 for the guys that can only think in terms of
averages) repeated by «scientists» so inept at thermodynamics and statistics that they confuse confidence intervals based on
temperature anomalies with actually uncertainty of energy flow based on T ^ 4 relationship of the real T not the imaginary T
anomaly.
The
annual anomaly of the global
average surface
temperature in 2014 (i.e. the
average of the near - surface air
temperature over land and the SST) was +0.27 °C above the 1981 - 2010
average (+0.63 °C above the 20th century
average), and was the warmest since 1891.
According to NOAA's 2016 Arctic Report Card, the
average annual surface air
temperature anomaly (+3.6 °F / 2.0 °C relative to the 1981 - 2010 baseline) over land north of 60 ° N between October 2015 and September 2016 was by far the highest in the observational record beginning in 1900.
southern oscillation a large - scale atmospheric and hydrospheric fluctuation centered in the equatorial Pacific Ocean; exhibits a nearly
annual pressure
anomaly, alternatively high over the Indian Ocean and high over the South Pacific; its period is slightly variable,
averaging 2.33 years; the variation in pressure is accompanied by variations in wind strengths, ocean currents, sea - surface
temperatures, and precipitation in the surrounding areas
It shows the sunspot data and
temperature anomalies over the last 160 years (
annual data and 11 - yr
average).
That gullibility probably has a lot to do with regional short - term
temperature fluctuations, which are an order of magnitude larger than global
average annual anomalies.
Figure 2: DMI summer melt season
temperatures and
annual DMI
temperature anomaly as well as five year running
averages
Anomalies simply take the
average of the observed
temperatures (daily, monthly,
annual, max, min, or what have you), and convert them to a scale with a different zero point — a zero defined as the mean observed
temperature over some accepted calibration period.
Global solar irradiance reconstruction [48 — 50] and ice - core based sulfate (SO4) influx in the Northern Hemisphere [51] from volcanic activity (a); mean
annual temperature (MAT) reconstructions for the Northern Hemisphere [52], North America [29], and the American Southwest * expressed as
anomalies based on 1961 — 1990
temperature averages (b); changes in ENSO - related variability based on El Junco diatom record [41], oxygen isotopes records from Palmyra [42], and the unified ENSO proxy [UEP; 23](c); changes in PDSI variability for the American Southwest (d), and changes in winter precipitation variability as simulated by CESM model ensembles 2 to 5 [43].
Hidden within
annual averages and expected variability are startling instances of new
temperature and rainfall records in many parts of the world — weather extremes that would once be considered
anomalies but that now risk becoming the new norm as the Earth heats up.
The
annual 1957 - 2006
temperature anomaly trend
averaged over the 63 AWS stations is positive, but is not statistically different than zero for a p equal to or less than 0.05 when the trend regression data is adjusted for lag 1 auto correlation.
Finally, there is a database of 1,732 local
annual temperatures dating 1850 - 2006 AD (also expressed as
anomalies from the 1961 - 1990 AD
average) 5.
Divide the observation period into smaller sub-periods (whichever) and calculate the total CO2 accumulations (or
average annual changes) and
average temperature anomalies for the sub-periods.
Shown below (Figure 2) is the relationship between mean
annual global
temperature departures from the long - term
average and U.S.
temperature anomalies.
Annual global surface air temperature anomalies from 1979 to 2017 relative to the annual average for the period 1981 -
Annual global surface air
temperature anomalies from 1979 to 2017 relative to the
annual average for the period 1981 -
annual average for the period 1981 - 2010.
Looking at possible outcomes based on historical scenarios, the
average from the reference period (1961 — 1990) for December results in an
annual temperature anomaly for 2015 of +0.75 °C; the sixth - warmest year on record.
European Arctic surface air
temperature anomalies over all surfaces for
annual averages from 1979 to 2017 relative to the
annual average for the period 1981 - 2010.
«Overall my best estimate of the 2014
annual global surface
temperature anomaly is 0.626 + / - 0.05 C above the 1961 - 1990
average, making it likely to be the hottest year on record after the 0.547 C
anomaly in 2010.»