NASA's Schmidt «extrapolated» warm temperature figures across a «huge area of below normal temperatures» and «massively skewed
his global average anomaly using a large area of fake +6 C anomaly.»
The period of increased warming from 1987 to 1997 loosely coincided with the divergence of the global average temperature anomalies over land, which are derived from observation station recordings, and
the global average anomalies in sea surface temperatures.
Not exact matches
But rather than using the baselines those agencies employ, Climate Central compared 2016's temperature
anomalies to an 1881 - 1910
average temperature baseline, the earliest date for which
global temperature data are considered reliable.
As I understand it, they refer to the
anomaly versus the previous 100 years of
global average temperatures.
Even so, the IPCC estimates above indicate: 1) Total Net Atmospheric Carbon Emissions to 2100 will amount to ~ 2050 PgC (or more) on current Trends, 2) A BAU projected estimate would push CO2 to ~ 952 ppm by 2100 (or more), and 3)
Global average temperature increase /
anomaly would be as high as ~ 6.8 C by 2100
The available timeseries of
global - scale temperature
anomalies are calculated with respect to the 20th century
average, while the mapping tool displays
global - scale temperature
anomalies with respect to the 1981 - 2010 base period.
Figure 2: The data (green) are the
average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly
global surface temperature
anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).
(1) The warm sea surface temperatures are not just some short - term
anomaly but are part of a long - term observed warming trend, in which ocean temperatures off the US east coast are warming faster than
global average temperatures.
The highest temperature
anomalies (more than 5 °C / 9 °F above the 1981 — 2010
average) were observed across much of northern Eurasia and eastern North America, driving much the
global record warmth.
To remove short - term noise, they plotted a 12 month running
average of
Global Tropospheric Temperature
Anomaly (GTTA, the light grey line) and the Southern Oscillation Index (SOI, the black line).
Which of the various data sets of
average annual
global temperature
anomaly is closest to the truth?
global average sfc T
anomalies [as] indicative of
anomalies in outgoing energy... is not well supported over the historical temperature record in the model ensemble or more recent satellite observations
Human induced trend has two components, namely (a) greenhouse effect [this includes
global and local / regional component] and (b) non-greenhouse effect [local / regional component]-- according to IPCC (a) is more than half of
global average temperature
anomaly wherein it also includes component of volcanic activities, etc that comes under greenhouse effect; and (b) contribution is less than half — ecological changes component but this is biased positive side by urban - heat - island effect component as the met network are concentrated in urban areas and rural - cold - island effect is biased negative side as the met stations are sparsely distributed though rural area is more than double to urban area.
The combination of these factors means it's much easier to interpolate
anomalies and estimate the
global mean, than it would be if you were
averaging absolute temperatures.
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?
Global average temperature
anomaly consists of: 1.
The
global average temperature
anomaly was adjusted by data managers [different groups followed differently and they don't match]-- earlier data adjusted downwards and current data upwards.
«On May 22nd, 2014,
global sea surface temperature
anomalies spiked to an amazing +1.25 degrees Celsius above the, already warmer than normal, 1979 to 2000
average.
So, how should somewhat complex matters relating to
average global surface temperature
anomalies be reported in the media?
The
average global Hadley
anomaly from 1890 thru 1924 *: -0.553 F. minus the
average 5 - yr Hadley
anomaly from 2009 — 2013: +1.084 F. Measured & Realized Warmth:.........................................
My amateur spreadsheet tracking and projecting the monthly NASA GISS values suggests that while 2018 and 2019 are likely to be cooler than 2017, they may also be the last years on Earth with
global average land and ocean surface temperature
anomaly below 1C above pre-industrial
average (using 1850 - 1900 proxy).
Regarding the «
global ice at 1980 levels», here is the canned response we wrote in rebuttal to the astonishingly twisted piece in Daily Tech: What the graph shows is that the
global sea ice area for early January 2009 is on the long term
average (zero
anomaly).
As I understand it, they refer to the
anomaly versus the previous 100 years of
global average temperatures.
I have a question about the availability of
global monthly
average temperatures (not
anomalies).
[Response: Note that the numbers we are talking about are the
global average temperature
anomaly (not absolute temperature).
[Response I'm not sure what point you are trying to make here, but if you feel that you can only assess whether temperatures are changing by looking at 30 - year
averages, consider the following:
Global mean temperature
anomalies (in degrees C, relative to 1961 - 90 reference period): 1885 - 1914: -0.35; 1915 - 1944: -0.18; 1945 - 1974: -0.07; 1975 - 2004: +0.21.
«The
average global temperature
anomaly for combined land and ocean surfaces for July (based on preliminary data) was 1.1 degrees F (0.6 degrees C) above the 1880 - 2004 long - term mean.
Global average surface temperature
anomalies, 2000 - 2100, as projected by MAGICC run with the original RCPs as well as with the set of RCPs modified to reflect the EPA 30 % emissions reductions from U.S power plants.
... Conclusions Since 1950,
global average temperature
anomalies have been driven firstly, from 1950 to 1987, by a sustained shift in ENSO conditions, by reductions in total cloud cover (1987 to late 1990s) and then a shift from low cloud to mid and high - level cloud, with both changes in cloud cover being very widespread.
Then find some time interval whose
average is convenient and subtract from the
global temperature and voila, the
anomaly.
In the last subperiod [2003 - 2014], the
global averaged SULR [surface upwelling longwave radiation / greenhouse effect]
anomaly remains trendless (0.02 W m − 2 yr − 1) because Ts [
global temperatures] stop rising.
to be consistent, either we should have 100 points measuring the temperature on a specific hour of the day on mountains and in the ocean, and no
average world temperature, or we should do the same with CO2, measure high for the day, low for the day,
average, and make a
global average from many regions, and then define an
anomaly on the same interval as the temperature
anomaly in order to be consistent.
This sounds like another area -
averaged statistical boondoggle, like
global temperature
anomaly.
Meanwhile, the long - term change of the
global averaged OLR
anomaly (− 0.01 W m − 2 yr − 1) is also not statistically significant.
Warming was not
global during the Medieval Climatic
Anomaly;
average global temperatures were lower than today
:: 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.
It compiles a diverse set of sea surface (not deep water) temperature proxies to estimate a spatially - weighted
global average temperature
anomaly.
In 1956, the
average global surface temperature
anomaly in the three datasets (NASA GISS, NOAA NCDC, and HadCRUT4) was -0.21 °C.
«To summarize - Using the 60 and 1000 year quasi repetitive patterns in conjunction with the solar data leads straightforwardly to the following reasonable predictions for
Global SSTs 1 Continued modest cooling until a more significant temperature drop at about 2016 - 17 2 Possible unusual cold snap 2021 - 22 3 Built in cooling trend until at least 2024 4 Temperature Hadsst3 moving
average anomaly 2035 — 0.15 5Temperature Hadsst3 moving
average anomaly 2100 — 0.5 6 General Conclusion — by 2100 all the 20th century temperature rise will have been reversed, 7 By 2650 earth could possibly be back to the depths of the little ice age.
*** The table below shows the
global average temperature
anomalies for the last 20 years (2014 only includes data from Jan to Oct, so may change).
; North Pole Cam 1 & 2; Arctic Sea Ice Extent
Averaging Below 2007
Anomaly; Paleoclimate Implications for Human - Made Climate Change; UN Security Council Addresses Considers
Global Security and Climate Change; New study details glacier ice loss following ice shelf collapse; Climate Change To Spawn More Wildfires; Gingrich Says 2006 Climate Change Ad He Starred In Was «Misconstrued»
In all three separate major records of
global temperatures (shown in the table on the right with the
anomaly being °C above long - term
average), the ten warmest years on record have all occurred since 1998.
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»..
«The latest (February 2012) monthly
global temperature
anomaly for the lower atmosphere was minus 0.12 degrees Celsius, slightly less than the
average since the satellite record of temperatures began in 1979.»
The NASA GISTEMP
global average surface temperature data have been updated to include January 2016, which had the largest monthly temperature
anomaly ever recorded: 1.13 °C elsius above the 1951 - 1980 baseline.
Bottom: An «
anomaly plot»; the annual
global temperature trend over time where the
average from 1951 — 1980 is set to 0.
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.
They looked at
global temperature
anomalies — deviations from an
average or standard temperature — for 73 sites distributed across the planet, using fossils in sediments as a proxy for temperature.
The interesting 2nd plot of Berkeley TAVG temperature
anomalies over the same time frame, also plotted as a 21 - year running
average, shows anomalous
global warming since 1975 appears unrelated to group sunspot activity.
Time series of annual
average global integrals of upper ocean heat content
anomaly (1021 J, or ZJ) for (a) 0 — 100 m, (b) 0 — 300 m, (c) 0 — 700 m, and (d) 0 — 1800 m. Thin vertical lines denote when the coverage (Fig. 3) reaches 50 % for (a) 0 — 100 m, (b) 100 — 300 m, (c) 300 — 700 m, and (d) 900 — 1800 m. From Lyman & Johnson (2013)