The raw
annual mean data are shown in the background for the global mean.
Correlation coefficients are calculated using
annual mean data for the first EOF mode of annual precipitation, 10 - year running mean data for the low - frequency precipitation, and 10 - year running mean data leading with 5 - year for the total water storage.
Correlation (color) and regression maps (contour) of SST (left) and SLP (right) associated with the first EOF modes of annual precipitation (a, b), low - frequency precipitation (c, d), and total water storage (e, f), which are calculated using
annual mean data for the first EOF mode of annual precipitation, 10 - year running mean for precipitation, and 10 - year running mean leading with 5 - year for total water storage.
Our results agree with recent studies that
annual mean data - constraints from present day climate prove to not rule out climate sensitivities above the widely assumed sensitivity range of 1.5 — 4.5 °C (Houghton et al. 2001).
This would be so even if the raw
annual mean data from 1961 - 2006 were isothermal.
Take
the annual mean data, fit a linear regression, examine whether slope of said regression is significantly greater than zero.
[Response: Or you could just look at
the annual mean data for that station, and calculate an extremely significant trend of 0.91 + / - 0.47 deg C / century (95 % conf).
These both suggest that current uncertainties on
the annual mean data point are around ± 0.05 ºC (1 sigma)[Update: the Berkeley Earth estimate is actually half that].
Not exact matches
CAP assumes
annual wage growth matches the
mean effect of experience and nonexperience on real wages measured in the NLSY
data assuming full - time, full - year employment, and reports the cumulative difference between the no - leave earnings profile and the leave earnings profile over time.
In the United States, March retail sales, industrial production and housing figures all disappointed, and the persistent softness in U.S. economic
data means the United States will struggle to hit the 3 %
annual growth rate that investors had expected at the beginning of the year.
Gas bills for heat typically total $ 150 for the year,
meaning the owners» total
annual outlay for heating, cooling and electricity is less than $ 600 — some $ 1,000 less than traditional homes in the same zip code are paying, according to
data from the U.S. Department of Energy.
Speaking in Paris last week at the fifth
annual IT Seminar, organised by the International
Data Corporation, de Benedetti painted a bleak picture of what the new divisions will
mean.
According to
data from the American Geosciences Institute Geoscience Workforce Program, the
mean annual salary for a petroleum engineer is $ 120,000.
A recent innovation in breast cancer biomarkers seeks the HER3 receptor instead, which could
mean more comprehensive breast cancer imaging and potential treatments, say experts presenting
data during the Society of Nuclear Medicine and Molecular Imaging's 2014
Annual Meeting.
(Top)
Annual global
mean observed temperatures1 (black dots) along with simple fits to the
data.
Annual means or totals for each pixel were averaged across all three reanalysis
data sets to produce an ensemble
mean value.
Annual fire weather season length anomaly maps for a subset of known severe fire years are presented in Fig. 4 and anomalies for all years are presented in Supplementary Figs 1 — 4 and annual ensemble - mean anomaly data are available as Supplementary D
Annual fire weather season length anomaly maps for a subset of known severe fire years are presented in Fig. 4 and anomalies for all years are presented in Supplementary Figs 1 — 4 and
annual ensemble - mean anomaly data are available as Supplementary D
annual ensemble -
mean anomaly
data are available as Supplementary Dat
data are available as Supplementary
DataData 1.
Inter-
annual variations in
mean US fire weather season length were significantly correlated with variation in
annual burned area reported by the US National Interagency Fire Center44 over the full time series from 1979 to 2013 and also from 1992 to 2013, when fire occurrence
data quality was highest45 (ρ = 0.679 and 0.683, respectively, P < 0.001).
The
mean annual cost estimates for primary care and redeemed medication were based on 2001 — 2012
data, while inpatient and outpatient costs were based on 2007 — 2012
data.
However, comparison of the global,
annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere
Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2
Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional
data) shows a high correlation (r = 0.96) for the period 1955 to 2
data) shows a high correlation (r = 0.96) for the period 1955 to 2005.
You stated «The red line is the
annual global -
mean GISTEMP temperature record (though any other
data set would do just as well),...
After consideration of a range of elements of the water - energy dynamic (Hawkins et al., 2003), we made use of quarterly climatic
data of 1961 - 90,
mean annual precipitation and
mean temperature (New et al., 1999).
Using Canadian non-interlisted stock
data, I find that value firms with the highest Score had a
mean annual return of 36.89 %, whereas the lowest Score portfolio had a
mean annual return of -11.35 % from 1985 to 2009.
Using US stock
data, I find that value firms with the highest Score had a
mean annual return of 54.38 % from 1969 to 2011.
The inflation for each simulated year is by default based on normal distribution matching the historical
annual CPI - U
data mean and standard deviation.
What's more, Carrasquillo says, actuarial
data (statistical information used to underwrite insurance policies) show
annual auto claims exceed claims for either homeowners, condo or renters insurance — which
means insurance companies can maximize their profits if they write as many property insurance policies as they do auto policies.
And in general, one could actually get a somewhat different trend using monthly
data rather than the
annual means of those
data.
This can be seen if we show
annual mean anomalies (as shown below for exactly the same
data), rather than the monthly anomalies (again, done with the same R - script)
Taking a longer perspective, the 30 year
mean trends aren't greatly affected by a single year (GISTEMP: 1978 - 2007 0.17 + / -0.04 ºC / dec; 1979 - 2008 0.16 + / -0.04 — OLS trends,
annual data, 95 % CI, no correction for auto - correlation; identical for HadCRU); they are still solidly upwards.
Making an exception here, one thing that the OCO - 2
data «
means» is that in about a single year 3 small regions on this planet can add the Equivalent of 63 % of the total
annual man - made GHG emissions to the atmosphere in one go!
If you want a really really simple statistical climate model, try correlating global
mean annual temperature & / or sea level with the CO2
data from Mauna Loa.
Stainforth et al. subject their resulting models only to very weak
data constraints, namely only to
data for the
annual -
mean present - day climate.
I was very interested to read that the
annual mean UHI adjustment was applied for all months in the GISTEMP
data.
Quoting: One persistent abuser of this technique is Pat Michaels, and in a recent piece he was unable to resist claiming that the century - scale trends (~ 0.8 C from 1891 - 1900 to 1991 - 2000 in the
annual mean) seen in this extended Southern Greenland
data apparently invalidate the notion of polar amplification as predicted by the «models».
This can be done a number of ways, firstly, plotting the observational
data and the models used by IPCC with a common baseline of 1980 - 1999 temperatures (as done in the 2007 report)(Note that the model output is for the
annual mean, monthly variance would be larger):
Estimates of the global and
annual mean temperature based on a number of different
data sets, including both traditional analyses as well as re-analyses (also see the last 15 years).
They make a great deal of the fact that we only plotted the ~ 50 year smoothed
data rather than the
annual means.
Estimates of the global and
annual mean temperature based on a number of different
data sets, including both traditional analyses as well as re-analyses
Basically, mathematicians have devised a
means by which they can take oscillatory
data and, in essence, subtract out known cycles in order to observe how the
data is changing independent of these known
annual, solar, and paleoclimatic cycles.
Further to my last post on the climate at Heathrow a couple of hours ago, I have now analysed the weather there and at Oxford since 1958 using
annual rather than monthly
data on sun, rain, CO2, and
mean maximum temperature.
The code currently starts from the
annual -
mean data for the surface, upper - air, and deep - ocean temperatures that were extracted from the MIT IGSM model output files.
However, comparison of the global,
annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere
Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2
Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional
data) shows a high correlation (r = 0.96) for the period 1955 to 2
data) shows a high correlation (r = 0.96) for the period 1955 to 2005.
An analysis of
data pertaining to the period 1861 — 1986 reveals that (1) a 1 °C rise in the
mean annual air temperature of the British Isles has historically been associated with a 35 % drop in the percentage of days that the United Kingdom has experienced cyclonic flow, and (2) a 2 °C increase in the
mean annual air temperature over the sea to the north has typically been matched by a 60 % drop in the percentage of days that the isles have experienced cyclonic flow originating from that source region.
Here we construct a database of worldwide RS observations matched with high - resolution historical climate
data and find a previously unknown temporal trend in the RS record after accounting for
mean annual climate, leaf area, nitrogen deposition and changes in CO2 measurement technique.
The analysis in the paper has been extended to the
annual mean and to all seasons, including
data through 2014.
-- 1.87 is the clear - sky, or the all - sky
annual mean infrared optical thickness; — if clear - sky, how the cloudless cases were selected out from the radiosonde
data set; — if it is the clear + cloudy (all - sky), how did he get it as global average value, when the cloud infrared optical depth is infinite (in half of the cases); — if 1.87 is for all - sky, how much is the clear - sky value (if he got it).
The
annual mean minimum and maximum
data are also linked below where available at locations surveyed by the Bureau of Meteorology in its analysis of «corrected» temperature trends from 1910 to 2008.
A similar mismatch between LIG - 120
mean annual surface temperature (MAT) simulation and proxy
data is also described by Otto - Bliesner et al. 21.
The
data is
annual data from 1955 to 1995, with a
mean of 23.025 C, a Standard Deviation of 0.2981 C, and a trend of 0.05 + / - 0.08 C / 10 years, as determined by simple linear regression.
The link given in Jean's article appears to point to a graph of
ANNUAL mean temperatures at Sodankylä, and the underlying
data at the time of writing at: