As measured, the combined RSS and UAH
dataset averages show an extended pause in the overall warming - i.e. the hiatus - that stretched across a span from about 1999 to the beginning of 2015.
Not exact matches
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).
Additionally, the
average FST values among SNPs contained within 100 kb non-overlapping windows derived independently from each
datasets were highly significantly correlated (R = 0.5; P < 1.0 × 10 − 16; data not
shown).
Even Education Week «s raw
dataset shows that the poorest districts (those with the most students living in poverty) spend, on
average, 122 percent of the state's median.
The HadCRUT4
dataset, compiled from many thousands of temperature measurements taken across the globe, from all continents and all oceans, is used to estimate global temperature,
shows that 2017 was 0.99 ± 0.1 °C above pre-industrial levels, taken as the
average over the period 1850 - 1900, and 0.38 ± 0.1 °C above the 1981 - 2010
average.
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.
The black curve
shows average of the 14
datasets as 1 multi proxy.
Craig, if you are out there: «I have 55
datasets, that does in
average show a 0,3 - 4 + K MWP.
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).
http://www.skepticalscience.com/graphics.php?g=47 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
Fourth, although the satellite evidence clearly indicates that the atmosphere has warmed since 1979, that warming has stalled since the 1998 peak - Chart # 2's 5 - year
average for the RSS
dataset vividly
shows the «Pause / Hiatus / Stall», equal to a cooling rate of -0.1 / century.
0.3 deg C of the 0.7 deg C global
average surface temp warming in the 100 year period from 1907 - 2007 can be
shown to be related to a natural temperature cycle in the HadCrut4 temperature
dataset with a period of about 62 years.
As a central estimate, the
average spring warming trend of the four
datasets shown in Table 3 for WAIS since 1979 is 0.54 °C / decade.
Note that the
datasets show different quantities; in the sea ice zone the GISTEMP, M10 and CHAPMAN data represent air temperature (though CHAPMAN air temperatures are inferred from SST input data); north of the sea ice edge the M10 and CHAPMAN data represent air temperature while GISTEMP represents SST; MSU represents tropospheric -
average temperatures everywhere.
The
averaged datasets show a period of 13 years 4 months with no net warming.
Five - year
averaging reduces differences among temperature
datasets,
showing that since the mid-1970s the global surface air temperature has on
average increased by 0.1 °C every five to six years, although the rate of warming, viewed from a five - year perspective, has not been steady.
Each
dataset shown in the graph is aligned to have the same
average temperature for 1981 — 2010 as ERA - Interim.
The combined analysis of these
datasets provides a clear picture of the latest five - year
average global temperature as the highest on record, and it
shows a warming of around 1.1 °C since the start of the industrial era.
Figure 1
shows the differences between the 2012/2013 austral summer SSTs compared to the summer climatology (
average over all years) of the OSTIA
dataset from 1985 - 2010 (
shown in Figure 2).
You did not
show, that the atmospheric Kirchhoff law is not valid, you did not
show that the virial concept is not applicable for the atmosphere, you did not
show that the Su = OLR / f radiative equilibrium rule is not valid, you did not
show that NOAA R1
dataset is wrong, you did not
show that the TIGR 2
dataset is wrong, you did not
show that Su - OLR is not equal to Ed - Eu, you did not
show that (Su - OLR) / Su is not 1/3, and you did not
show a single article (peer reviewed) where the global
average tau is different from 1.87.
The IPCC 2001 TAR
shows a graph of four
datasets including Hadley CRU all
showing the cooling from 1942 to 1975 but the 2007 4AR report
shows the same Hadley CRU
dataset modified (physically altered) to eliminate this cooling to
show overall warming since the middle of the century allowing the statement «Most of the observed increase in global
average temperatures since the mid-20th century is very likely due to the observed increase in anthropogenic greenhouse gas concentrations.»
Figure 6
shows the global land surface air temperature plus sea surface temperature anomalies (
average of GISS LOTI, HADCRUT4 and NCDC
datasets, like The Escalator) before, during and after the 1997/98 El Niño.
Frank Lansnser: Please provide a link to a graph that
shows all of the individual SST
datasets you have used in your CSST data, not the
average.