Sentences with phrase «averaged the anomalies of»

See e.g. http://data.giss.nasa.gov/gistemp/tabledata/ZonAnn.Ts+dSST.txt — at 64 - 90N the GISS land - ocean temperature index for 1937 - 8 reached an average anomaly of +1.29 C, which was not surpassed again for a 2 - year period until 2002 - 3 (+1.33 C)

The 2018 European - average anomaly of -0.9 °C compares with the -3.5 °C average recorded for February 2012.

Not exact matches

Computing for each firm the equally weighted average of its anomaly rankings, such that a high (low) average ranking indicates the firms's assets are relatively overpriced (underpriced).

The United States, averaging over 40 per cent, is a strange anomaly for sociological commentators — one often explained by denying that the higher U.S. rate is an expression of greater national religiosity, and suggesting that in America religion fulfills certain nonreligious needs: for sociability and community, for example.

Still, many of their lines were anomalies such as Syracuse / UNC Asheville where the line opened 5 - points off the market average.

It's interesting to note that the Premier League's top sides are all on the younger end of the table, with the very obvious anomaly of Manchester City, whose average is raised by the likes of Martin Demichelis and Yaya Touré.

The researchers also looked at deviations of daily temperatures from seasonal averages in trying to determine the effect of anomalies on crime rates.

As I understand it, they refer to the anomaly versus the previous 100 years of global average temperatures.

Time series of temperature anomaly for all waters warmer than 14 °C show large reductions in interannual to inter-decadal variability and a more spatially uniform upper ocean warming trend (0.12 Wm − 2 on average) than previous results.

Looking at the June temperature anomaly map, we find very large zones of 2 - 4 C above average readings running up toward the Northern Hemisphere Pole.

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).

The January — December map of temperature anomalies shows that warmer - than - average temperatures occurred across the vast majority of the globe during 2015, combining to bring overall record warmth for 2015, at 0.90 °C (1.62 °F) above the 20th century average.

(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 average position of the upper - level ridges of high pressure and troughs of low pressure — depicted by positive and negative 500 - millibar height anomalies on the December 2015 map — is generally reflected by areas of positive and negative temperature anomalies at the surface, respectively.

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.

a, b, Anomalies in net radiation (NET), absorbed solar radiation (ASR), the negative of outgoing longwave radiation -LRB-- OLR), and two - month averages of the Multivariate ENSO Index (MEI) for 30 S — 30 N (a) and globally (b).

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).

Any way you look it, from the Climate Prediction Center Outlook through May, to the ongoing warm anomalies in land and sea surface temperatures, much of the United States is likely to find above average temperatures in the coming months.

But as you can see in the NASA figure above, the record breaking heat wasn't uniformly distributed — it was particularly pronounced at the top of the world, showing temperature anomalies above 4 degrees Celsius (7.2 degrees Fahrenheit) higher than the 1951 to 1980 average in this region.

Which of the various data sets of average annual global temperature anomaly is closest to the truth?

Figure 5.5 shows the linear trends (based on pentadal anomaly fields) of zonally averaged salinity in the upper 500 m of the World Ocean and individual ocean basins (Boyer et al., 2005) from 1955 to 1998.

The center reports temperature anomalies at this altitude of «more than 6 degrees Celsius (13 degrees Fahrenheit) above average» for the month.

Alaska is an anomaly, with temperatures rising an average of 3 degrees in the last 60 years, twice as fast as the continental U.S. Scientists predict that temperatures will rise another two to four degrees by 2050.

The above diagram helps show that if a station were removed from the record or did not report data for some period of time, the average anomaly would not change significantly, whereas the overall average temperature could change significantly, depending on which station dropped out of the record.

Only about 2.5 percent of the population is comprised of «anomalies» — rare cases in which a person has much more muscle than everyone else or is much taller than the average.

As a good example of spotting anomalies and opportunities, Gallagher pulled up a list of the top 12 publishers of commercial romance paperbacks by point - of - sale data showing average paperback prices and sales volume.

«The low - risk effect, that is the idea that historically, unlike many well - known theories, average return across stocks doesn't appear to go up with most standard measures of risk, is one of the most important «anomalies» in modern finance.

Last year, Surviscor's assessment put the average response time for Qtrade at close to 40 hours, although, that appears to be a bit of an anomaly given how it's done in other years.

So, if you can just show, for example, that the odds of a stock market crash are far higher in years when the P - E ratio is much higher than average (or for housing crashes the buy - rent, or price - household income ratio), or that the expected risk - adjusted long run return is much lower than average, or other «anomalies» (anomalous to the EMH) like this, then you can show that the EMH is substantially far from the truth.

Berlin is a bit of an anomaly: the average price of a private room on Airbnb is just slightly cheaper than two dorm beds in a hostel.

Customers who buy the bundle recieve: Anomaly: Warzone Earth HD, Osmos HD, EDGE, and those that pay above the average price will receive World of Goo.

[Response: Hansen et al. look at seasonal anomalies, especially those for the average temperature of June - July - August.

For example since the temperature anomalies used in the analyses are local seasonal averages, then an increase in the value of a temperature anomaly might arise simply from a shift in the local temperature distribution.

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 anomaly of each site was computed (1969 - 1999 base) & a composite average was formed for each year.

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.

[Response: Hansen's analysis was for seasonal anomalies — which are still averaging over a lot of weather.

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?

Global average temperature anomaly consists of: 1.

Ranked warmest years in the series going back to 1914 are: # 2006 9.73 °C # 2003 9.51 °C # 2004 9.48 °C # 2002 9.48 °C # 2005 9.46 °C Mean temperature, sunshine and rainfall for regions of the UK compared with the long - term average UK regional averages for 2006, anomalies with respect to 1971 - 2000 Region Mean temp Sunshine Rainfall Actual [°C] Anom [°C] Actual [hours] Anom [%] Actual [mm] Anom [%] UK 9.7 +1.1 1,507 113 1,176 104 England 10.6 +1.2 1,638 112 8,51 102 Wales 9.9 +1.0 1,534 113 1,420 99 Scotland 8.3 +1.1 1,300 112 1,652 109 N Ireland 9.6 +1.0 1,409 115 1,156 104

The annual anomaly is the average of two successive numbers in the sequence.

Yesterday, the analysis showed that Michigan experienced temperatures that were 4 — 5 climatological anomalies warmer than average (4 - sigma to 5 - sigma), the type of extreme that occurs between once every 43 years and once every 4779 years.

Anyhow, I question the validity of FFT analysis of the final GISS and HadCRUT3 temperature anomaly products — because they have been so «averaged» as to be suspect for that purpose.

(G) Northern Hemisphere average proxy temperature anomalies (10 - year means) reconstructed by Mann et al. (26) on the basis of two approaches (CPS, composite plus scale; EIV, error in variables) and by Moberg et al..

I was able to replicate the NASA / GISS land - temperature index surprisingly closely with a pretty crude implementation of the standard temperature anomaly gridding / averaging procedure.

, they just say «average») with a surface temperature anomaly of GISS with base value 1951 - 1980!

It is closely connected to metrics related to return times (i.e. if areal extent of extremely hot anomalies in any one summer increases by a factor of 10, then the return time at an average location goes from 1 in 330 years to 1 in 33 years).

Therefore, you don't need to have perfect coverage of the whole hemisphere to get a good estimate of the hemispheric average anomaly.