The more I thought about the practice of subtracting the Nino 3.4 variations from
the global average temperature anomalies, the more questions came up for me.
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.
The impact of these changes in cloud cover can account for the variations in HadCRUT4
global average temperature anomalies and the divergence between land and sea temperatures.
I compute the trends as simple linear least squares fits through the monthly
global average temperature anomalies for each dataset (from Figure 1).
*** 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).
... 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.
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.
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.
[Response: Note that the numbers we are talking about are
the global average temperature anomaly (not absolute temperature).
It compiles a diverse set of sea surface (not deep water) temperature proxies to estimate a spatially - weighted
global average temperature anomaly.
Global average temperature anomaly from 1880 to 2012, compared to the 1951 - 1980 long term average.
Global average temperature anomaly from 1880 to 2012, compared to the 1951 — 1980 long - term average.
ABSTRACT From 1950 to 1987 a strong relationship existed between the El Nino Southern Oscillation (ENSO) and HadCRUT4
global average temperature anomaly, interrupted occasionally by volcanic eruptions.
The increase in
the global average temperature anomaly and the divergence of land and sea surface temperatures also coincided with two significant changes in global average cloud cover.
With three - quarters of 2013 already in the books, we can make a pretty good guess as to what
the global average temperature anomaly is going to be at years» end, and perform the same analysis we described above, but ending in the year 2013 instead of 2012.
My paper showed the very strong link between the ENSO and
the global average temperature anomaly a few months later over the period from 1950 to 1987 and other papers have made similar findings.
Global Average Temperature Anomaly (°C)(upper), and CO2 concentration (ppm) on Mauna Loa (lower) from http://www.climate.gov/maps-data by the U.S. National Oceanic and Atmospheric Administration.
Back in land of sense, once a 15K
global average temperature anomaly arises through natural variability then there is such a very strong feedback making reaching a 20K anomaly sufficiently unlikely that I think we should ignore it in same way as possibility of earth jumping into centre of sun.
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
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?
«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?
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).
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 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.
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.
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.
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 litt
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 litt
Temperature Hadsst3 moving
average anomaly 2035 — 0.15 5
Temperature 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 litt
Temperature 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 litt
temperature rise will have been reversed, 7 By 2650 earth could possibly be back to the depths of the little ice age.
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.»