By 2100, the decreasing number of suitable growing days in the tropics will offset optimistic projections at mid - and high latitudes, resulting in minimal changes in
the global average number of suitable days under RCP 2.6 and RCP 4.5 but a ~ 26 % reduction in the number of suitable growing days under RCP 8.5 (solid blue lines in Fig 3).
These plots illustrate
the global average number of suitable plant growing days relative to contemporary values.
Self - appointed Climate Auditors may already have noted with confected concern that
the global average number in the top right - hand corner of this map, 0.95 °C is higher than the the 0.93 °C anomaly reported in the downloadable data tables.
Not exact matches
Reseachers at the
global professional services firm said they based their conclusions on a
number of «key» economic and demographic factors — from
average income levels and population to the
number of ski resorts per capita, level of snow coverage and recent «form» at the Winter Olympics.
These
numbers are not only comparable to coal and natural gas (which
average $ 100 per megawhatt hour, but in fact more attractive, on a
global average basis.
Two severe bear markets and a near - collapse of the
global financial system pushed the
average annual returns down to negative
numbers.
We study a prototypical model of a Parliament with two Parties or two Political Coalitions and we show how the introduction of a variable percentage of randomly selected independent legislators can increase the
global efficiency of a Legislature, in terms of both
number of laws passed and
average social welfare obtained.
This needs an edit - «You can see that Iran expends 2.5 % of its GDP with military expenditure (less than the
global average of 2.3 %)» 2.5 % is more than 2.3 %, so either the
numbers were incorrectly typed, or «less» needs to be changed to «more.»
Changes in the
number of cosmic rays hitting the atmosphere due to changes in solar activity can not explain
global warming, as
average cosmic ray intensities have been increasing since 1985 even as the world has warmed — the opposite of what should happen if cosmic rays produce climate - cooling clouds.
But the 2 C
number is a
global average, and many regions will warm more, and warm more rapidly, than Earth as a whole.
We came up with
numbers that business as usual would give you: losses,
averaged over space, over time and uncertain outcomes, of around 5 percent of
global gross domestic product and upwards, probably substantially more than 5 percent of GDP.
Professor Lester says climate change could considerably increase wasp
numbers: «The
average global temperature is rising each year.
The report lists 30 cities that face increased health risks from heat waves worsened by
global warming, based on a combination of four factors:
average number of summer days with «oppressive» summer heat, the percentage of households without central air conditioning, ground - level ozone levels, and the percentage of households below the poverty line.
In addition, the characteristic path length L of a network gives the
average number of connections that have to be crossed to travel from each node to every other node in the network and provides information about the level of
global communication efficiency of a network.
There are some caveats with their study: The
global climate models (GCMs) do not reproduce the 1930 - 1940 Arctic warm event very well, and the geographical differences in a limited
number of grid - boxes in the observations and the GCMs may have been erased through taking the
average value over the 90 - degree sectors.
To show how close the world already is to surpassing those limits, Climate Central has been reanalyzing the
global temperature data by
averaging the NASA and NOAA
numbers and comparing them to a baseline closer to preindustrial times.
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.
To show how close the world already is to reaching that limit, Climate Central has been reanalyzing the
global temperature data each month,
averaging together the NASA and NOAA
numbers and comparing them to the
average from 1881 - 1910, a time period closer to preindustrial times.
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).
Climate Central has combined the NOAA and NASA temperature data and recalculated the
numbers relative to an earlier baseline, 1881 - 1910, for the
global average temperature.
Editorially, Kiplinger's magazine has championed over the decades a
number of personal finance strategies and investment products that later became popular «conventional wisdom»: the superiority of systematic investing (dollar cost
averaging) over market timing; growth stocks that paid little or no dividends but invested in new technologies; mutual funds, especially no - load funds; stock index funds; term life insurance, rather than whole - life; and
global investing.
The International Air Transport Association — a trade group for the world's airlines — said that
global demand for air travel in 2015 jumped 6.5 percent over the previous year, a result that it said was the strongest since the world started pulling out of the Global Financial Crisis in 2010; that number was also well above the industry's 10 - year average growth rate of 5.5 pe
global demand for air travel in 2015 jumped 6.5 percent over the previous year, a result that it said was the strongest since the world started pulling out of the
Global Financial Crisis in 2010; that number was also well above the industry's 10 - year average growth rate of 5.5 pe
Global Financial Crisis in 2010; that
number was also well above the industry's 10 - year
average growth rate of 5.5 percent.
There is a quantitative effect of this error, both on
global average calculations up to the 1970's and on the uncertainty of that
number.
A Fourier analysis would show that
global temperature
averages over the past 200 years would EXACTLY MATCH the sum of a finite
number of sign waves far more accurately than your «sinusoidal curve superimposed on a linear trend.»
For instance, using the UAH troposphere
numbers, the drop from January 2007 (recent peak) to January 2008 (recent dip) is 0.64 degrees C in the
global average (it's 0.75 degrees in the GISS
numbers).
You have to remind them that it is
global not local, a small
number of degrees, and an
average not an absolute.
In my experimentation with techniques to «showcase» the robustness of the
global -
average temperature results, I found that it is also important to show the actual
number of stations reporting data for each year.
Just like the stock market, monthly
global average temperature
numbers go up and down with a certain random variance.
There are some caveats with their study: The
global climate models (GCMs) do not reproduce the 1930 - 1940 Arctic warm event very well, and the geographical differences in a limited
number of grid - boxes in the observations and the GCMs may have been erased through taking the
average value over the 90 - degree sectors.
In
global average, the
number of unprecedented heat records over the past ten years is five times higher than in a stationary climate, based on 150,000 temperature time series starting in the year 1880.
Global averaging of stations has also not been compensated for dropouts which have reduced the total
number of reporting stations dranatically since 1989.
Let me restate his point: there is no evidence yet of an impact of
global warming on the intensity of the
average hurricane, on the regions where the tropical storms form and on the
number of tropical storms.
As I summarize in the book: «
global warming, which ought to intensify the
average hurricane, could also change the regions of storm formation or the
numbers of storms that form in the first place.
[Response: Note that the
numbers we are talking about are the
global average temperature anomaly (not absolute temperature).
Yes, there was work for geoscientists in diversified areas before «
global warming» became known to
average people and they would have gone into any
number of subjects as a graduate student if human induced changes in greenhouse turned out (after calculation and experiment) to be unimportant at a
global scale.
Annan suggests it can, in a way that is somewhat analogous to the
number of surface stations increasing the accuracy of our estimation of the
global average temperature and its trendline.
4) Even admitting that the impact of IR active gases could be summed up in some
average number of x W / m ² with x being in the range of extremely small to very small, it is not possible to provide the derivation from this
number to the
average global temperature.
Only 908 stations used for the October 2008 GISS analysis whereas some 40 yerars ago there were double the
number of stations used to derive an
average global temperature.
Is making the
average global temperature THE limiting factor simply the most stupid of a
number of erroneous «category mistakes»?
The 47,000 wildfires last year may seem like a very large
number — and it certainly gives
global warming alarmists like Brown plenty of fodder for misleading
global warming claims — but the 47,000 wildfires was less than half the
average number of wildfires that occurred each year in the 1960s and 1970s.
The Fifth Assessment Report from the Intergovernmental Panel on Climate Change (IPCC)-- the world's leading climate science body — projected a
number of scenarios, each plotting amounts of carbon emissions and the resulting future
global average temperatures.
«A
global average temperature is a meaningful as an
average of all the telephone
numbers in NYC.»
Would it not then be a mistake to assume a
global average incoming watt per sq - m solar radiation and
global average outgoing L - W radiation and
global average Greenhouse effect for Co-2 and apply those
global numbers to the tropics, when a higher percentage of both LW and SW radiation is in tropical latitudes where that increase in CO-2 has less effect?
Taking these improved estimates and comparing them to the
numbers from Renssen et al 2012 on the Holocene Thermal Maximum, it appears humanity will fall well short of establishing a new date for a
global average HTM in the 21st century.
Proof that CO2 has no effect on climate and identification of the two factors that do cause reported climate change (sunspot
number is the only independent variable) are at http://agwunveiled.blogspot.com (now with 5 - year running -
average smoothing of measured
average global temperature (AGT), the near - perfect explanation of AGT since before 1900; R ^ 2 = 0.97 +).
The
numbers are striking: in the 1990s, as the market integration project ramped up,
global emissions were going up an
average of 1 percent a year; by the 2000s, with «emerging markets» like China now fully integrated into the world economy, emissions growth had sped up disastrously, with the annual rate of increase reaching 3.4 percent a year for much of the decade.
When he presented his misleading graph, when he said 97 % of climate scientists agree, (knowing full well the actual situation that the
number is bogus and misleading,) when he mentions adjustments to satellite data but not to surface temperatures with major past cooling and absurd derived precision to.005 * C, when he defends precision in surface
global averages but ignores major estimates of temps and krigging in Arctic, Africa, Asia and oceans or Antarctica, he forfeits credibility.
So what happens if we calculate dT, dN, and dF at every gridpoint of the model, use that to solve for climate sensitivity and then take the
average to have a
global climate sensitivity
number?
Climate sensitivity is defined in terms of
global averages (there is only one
number) but a GCM is fully time - dependent, three - dimensional simulation that typically includes atmospheric and ocean processes.
It is therefore erroneous to suggest that the estimate of the
global average ocean temperature is given by the instrument accuracy divided by the square root of the
number of observations (as you would if the observations were of the same quantity):