When you base your robust disbelief of the link between recent prodigious crop failures and realized warming on what you call the «relatively minor»
global average mean anomaly you are demonstrating either less than full appreciation of what nine tenths of a degree could mean for regional weather over shorter periods, or what such weather could mean for agriculture.
Since the GCMs have clearly overpredicted the overall trend in
global average mean temperature, and since there are other epochs where there fit to the overall trend is poor, I think that you confidence in an estimate of natural variability based on them is misplaced.
The Paris Agreement sets the goal of holding the increase in
the global average mean temperature to well below 2 °C above preindustrial levels but calls for efforts to limit that increase to 1.5 °C.
Not exact matches
The
average success rate of these signals, which are generated from
global markets, is roughly 75 %,
meaning that 75 % of signalled trades finish in the money.
That doesn't
mean the
average voter has the same view,» said Andres Jaime,
global FX and rates strategist at Barclays.
However, what we
mean when we talk about
global warming is anomalous warming — warming that is beyond the
average or norm.
Increased flow of the East Australian Current, for example, has
meant waters south - east of the continent are warming at two to three times the
global average.
With an El Niño now under way —
meaning warm surface waters in the Pacific are releasing heat into the atmosphere — and predicted to intensify, it looks as if the
global average surface temperature could jump by around 0.1 °C in just one year.
That
means the Alaskan rate was very close to the
global average rate.
This new research takes away the lower end of climate sensitivity estimates,
meaning that
global average temperatures will increase by 3 °C to 5 °C with a doubling of carbon dioxide.»
The U.S. National Research Council (NRC) estimates that every degree Celsius of warming in
global average temperatures
means a 5 to 15 percent drop in yield, particularly for corn, in North America.
As New Scientist has previously reported, this
means we are passing an ominous milestone, with
global surface temperatures now more than 1 °C above the pre-industrial
average.
That
means that a climate with a lot of CO2 warming partially offset in the
global average by a lot of regional aerosol cooling is still a very different climate than one with no anthropogenic aerosols and less CO2.
Annual
average GCR counts per minute (blue - note that numbers decrease going up the left vertical axis, because lower GCRs should
mean higher temperatures) from the Neutron Monitor Database vs. annual
average global surface temperature (red, right vertical axis) from NOAA NCDC, both with second order polynomial fits.
Averaged across the
global ocean,
mean MHW durations have become significantly longer by 1.3 days per decade (p < 0.01) since 1982.
Less snow
means less sunlight is reflected back into space, which can drive up
global average temperatures.
Global mean temperatures
averaged over land and ocean surfaces, from three different estimates, each of which has been independently adjusted for various homogeneity issues, are consistent within uncertainty estimates over the period 1901 to 2005 and show similar rates of increase in recent decades.
Because climate systems are complex, increases in
global average temperatures do not
mean increased temperatures everywhere on Earth, nor that temperatures in a given year will be warmer than the year before (which represents weather, not climate).
Global DNA methylation is calculated as the
average DNA methylation based on all CpG sites in each annotated region on the Infinium HumanMethylation450 BeadChip and is shown as the
mean ± SD.
Global mean temperature for the period January to September 2017 was 0.47 ° ± 0.08 °C warmer than the 1981 - 2010
average (estimated at 14.31 °C).
«
Global mean time series of surface - and satellite - observed low - level and total cloud cover exhibit very large discrepancies, however, implying that artifacts exist in one or both data sets... The surface - observed low - level cloud cover time series averaged over the global ocean appears suspicious because it reports a very large 5 % - sky - cover increase between 1952 and
Global mean time series of surface - and satellite - observed low - level and total cloud cover exhibit very large discrepancies, however, implying that artifacts exist in one or both data sets... The surface - observed low - level cloud cover time series
averaged over the
global ocean appears suspicious because it reports a very large 5 % - sky - cover increase between 1952 and
global ocean appears suspicious because it reports a very large 5 % - sky - cover increase between 1952 and 1997.
The Schneider et al. ensemble constrained by their selection of LGM data gives a
global -
mean cooling range during the LGM of 5.8 + / - 1.4 ºC (Schnieder Von Deimling et al, 2006), while the best fit from the UVic model used in the new paper has 3.5 ºC cooling, well outside this range (weighted
average calculated from the online data, a slightly different number is stated in Nathan Urban's interview — not sure why).
The
average temperature on Earth has barely risen over the past 16 years, indicating that
global warming is currently taking a break - though that doesn't
mean it's over yet.
The Fourth Assessment Report finds that «Warming of the climate system is unequivocal, as is now evident from observations of increases in
global average air and ocean temperatures, widespread melting of snow and ice, and rising
mean sea level.
[9] Temperature changes
Global mean surface temperature difference from the
average for 1880 — 2009.
Going back further, that temperature was about 1.8 °F (1 °C) above the
average for the second half of the 19th century,
meaning global temperatures are already halfway to 2 °C (4 °F) above preindustrial levels.
With humanity's ecological footprint of 2.7
global hectares (gha) per person
means to say that to sustain the current population on Earth of 7 billion people would take 18.9 billion gha (2.7 gha x 7 billion people) which is higher than the 13.4 billion
global hectares (gha) of biologically productive land and water on Earth, a fact that indicates that already exceeded the regenerative capacity of the planet in the
average level of current world consumption.
A percentile of 60
means that the
average student in a district is achieving better than 59.9 percent of the students in our
global comparison group.
It's a bit of an oxymoron, he admits, «but in our case this
means having 40 stocks in the
global equity portfolio that we're really confident about their quality, out of a universe of more than 5,000 securities, versus a longer - term
average of 50 to 55 stocks in that specific portfolio.»
This
means that
global auctioneers have a.667 success rate, which is also an outstanding batting
average in the major leagues.
Ray, I think Lee Grable's point is important: The fact that we use the term «
global temperature» to
mean the
average temperature on a two - dimensional surface rather than the three - dimensional ocean plus land plus atmosphere system of the earth has the potential to allow confusion.
* However, the same panel then concluded that «the warming trend in
global -
mean surface temperature observations during the past 20 years is undoubtedly real and is substantially greater than the
average rate of warming during the twentieth century.
You can also see in this graph that the warming trend in the
global data for the low troposphere, if we consider the whole set of data, i.e. from the
average between 1980 - 1982 till now, with now
meaning the
average of the last three years, the warming trend is, AT MOST, 0.115 ºC / decade (0.3 ºC in 26 years), but the graph is going down recently, so it should be even less.
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.
Those extremes will come about more slowly than the rise of
mean temperature, but I have seen zero models that suggests a continued rise of
global average with no rise of
global high.
... Polar amplification explains in part why Greenland Ice Sheet and the West Antarctic Ice Sheet appear to be highly sensitive to relatively small increases in CO2 concentration and
global mean temperature... Polar amplification occurs if the magnitude of zonally
averaged surface temperature change at high latitudes exceeds the globally
averaged temperature change, in response to climate forcings and on time scales greater than the annual cycle.
Since the CMIP5 models used by the IPCC on
average adequately reproduce observed
global warming in the last two and a half decades of the 20th century without any contribution from multidecadal ocean variability, it follows that those models (whose
mean TCR is slightly over 1.8 °C) must be substantially too sensitive.
(2) What proportion of model runs from a multi-model ensemble produce
global mean temperatures at or below (on
average) the actual measurement for the last 10 years?
# 4 That
Global mean trends are not simply
averages of all weather stations has been discussed in many different ways, none of which meet such a simplistic sentence that I remember except comments to the effect how could a person discern if only one trend could be used or how much noise using all the trends entail.
Global warming does not mean no winter, it means winter start later, summer hotter, as Gary Peters said «The global average surface temperature has risen between 0.6 °C and 0.7 °C since the start of the twentieth century, and the rate of increase since 1976 has been approximately three times faster than the century - scale trend.&
Global warming does not
mean no winter, it
means winter start later, summer hotter, as Gary Peters said «The
global average surface temperature has risen between 0.6 °C and 0.7 °C since the start of the twentieth century, and the rate of increase since 1976 has been approximately three times faster than the century - scale trend.&
global average surface temperature has risen between 0.6 °C and 0.7 °C since the start of the twentieth century, and the rate of increase since 1976 has been approximately three times faster than the century - scale trend.»
Here is a zonally
averaged mean temperature plot for six model configurations using GISS - E2 that have a range of about 1ºC in their
global mean temperature.
I say I don't know what the
global mean is because what is actually estimated is a spatially weighted
average of the (homogenised etc) data.
Thus, the simplest thing to do is to: a) construct a time series of annual
global temperature
averages, add a random component to each year (value drawn from a gaussian with the given standard deviation and
mean zero).
In this way, by utilizing
global -
mean decadal -
average quantities, we have come to understand that water vapor accounts for 50 percent of the (33 K, 60 deg F) greenhouse effect.
Three of the four
global average temperatures indeed are decreasing in their trends (although the actual
global mean temperatures are still warmer than the previous decades).
By all
means we must be cautious in extrapolating from long - term,
global averages to regional consequences over finite intervals.
Mark, by «VERY GOOD» do you
mean the reliability, variances and error bars of measuring
average global mean temperatures and CO2 mixing ratios over the past 150 years is about as good as measuring your height over the past 30 years?
The instantaneous RF difference between the tropopause and TOA is the instantaneous forcing on the stratosphere RFs1; if the TOA forcing is smaller than the tropopause forcing, then the forcing on the stratosphere is negative, which
means that the stratosphere will cool (this doesn't necessarily
mean it will cool everywhere, but the equilibrium response to negative stratospheric RF requires a negative PR+CR response — being the stratosphere, at least in the
global time
average, CR can be approximated as zero).
One solution which has different assumptions than what is used to define the HadCRUT4
global values, would be to calculate the zonal
means first and then area weight those — which assumes that missing data warms at the same rate as the local zonal
average as opposed to the
global means.
That would be a much more fair bet as to whether the
mean average global temperature is going up or going down.