Sentences with phrase «running mean temperature»

For Australia, the year - to - date (January to November 2015) and the 12 - month running mean temperature ending in November 2015 are the sixth highest and fifth highest on record (+0.81 °C and +0.82 °C, respectively).

The 12 - month running mean temperature bounces within about 0.1 C of the mean trend in the whole 40 years, and what we have now is no exception.

Calculating the running mean temperature — over periods of 12, 60 and 132 months — provides a way to see long - term trends behind variability.

The 11 - year (132 - month) running mean temperature (Fig. 3b) shows only a moderate decline of the warming rate.

The 60 ‐ month (5 ‐ year) and 132 month (11 ‐ year) running mean temperatures are shown in Figure 2 for the globe and the hemispheres.

Not exact matches

Every scientific statement in the long run, however complicated it looks, really means something like, «I pointed the telescope to such and such a part of the sky at 2:20 A.M. on January 15th and saw soand - so,» or, «I put some of this stuff in a pot and heated it to such - and - such a temperature and it did soand - so.»

The frigid temperatures are continuing here in PA which means that running continues to occur on the treadmill.

If the sink must have hot water at a temperature that differs from that of the sink available to children, this can mean that the school must run new plumbing from a separate hot water heater.

According to the model, higher temperatures will mean that what falls in winter will increasingly be rain, not snow, and that more of it will run off right away.

But warmer water temperatures also mean warmer fish — and faster - running metabolisms.

Temperature changes in lower diagram are 12 - month running means for the globe and Niño3.4 area [16].

Cold temperatures mean that my early morning runs and post-dinner walks will soon turn into workouts on the «dreadmill.»

Falling temperatures and fewer daylight hours don't mean that your outdoor running routine has to go into hibernation for the winter.

This means that increased body temperature due to running around or being in a hot room does not constitute a true fever.

Of course, this means you will have to run electricity out to it, so that even in cool temperatures the house will provide some semitropical heat.

This has meant that the style and layout and overall running of these small 10 person resorts are all inline perfectly with the Balinese culture creating the perfect traditional approach to luxury accommodation in this wonderful area.Ubud is located in the center of Bali at just over 600 meters above sea level where you can enjoy amazing views of Bali including rice paddies, river valleys and tropical woodland all at cooler temperatures and away from the conventional tourist areas of the south.

[Response: The idea of a recent plateau in global temperature is ill - founded, see our new ERL paper, Fig. 1, where global temperature is shown as 12 - months running mean.

(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?

More than 95 % of the 5 yr running mean of the surface temperature change since 1850 can be replicated by an integration of the sunspot data (as a proxy for ocean heat content), departing from the average value over the period of the sunspot record (~ 40SSN), plus the superimposition of a ~ 60 yr sinusoid representing the observed oceanic oscillations.

All values are running means from the 00Z, 06Z, 12Z and 18Z 2m temperatures.

Second, the absolute value of the global mean temperature in a free - running coupled climate model is an emergent property of the simulation.

Is it any mystery that during World War II global mean temperatures reached a peak of fever heat, just when daylight Savings Time was once again widely implemented (running * continuously * from Feb. 2, 1942 to 30 September 1945 in the United States, for example)?

My understanding is that GCMs are run several times with known forcings (as far as we can determine them) but random natural variability (e.g. ENSO), so the end result is an «ensemble» of model runs characterised by mean, standard deviation etc. rather than following precisely the year - to - year variations of global temperature.

In Fig. 8, I have digitized the outer bounds of the model runs in Fig. 7, and also plotted the HadCRUT3 global annual mean temperature anomaly over the same period.

The following is a composite temperature index from 1980 to which I applied a 24 - month running mean to smooth it out a bit for easier viewing.

Present 12 - month running - mean global temperature jumps about as far above the linear trend line (Fig. 2b in the paper) as it did during the 1997 - 98 El Nino.

For decades we have reported / updated the global temperature record, showing the calendar - year annual - mean temperature, usually with the 5 - year running - mean included.

If the model is accurate enough, then the model run with the realization of the stochastic process that most matches the future record ought to be a reasonably accurate model for the evolution the mean global temperature.

Specifically, the cloud cover is multiplied by the factor 1 + c T, where T, computed every time step, is the deviation of the global mean surface air temperature from the long - term mean in the model control run at the same point in the seasonal cycle and c is an empirical constant.

He evidently is not too literate in global warming theory either because he tries to explain the current non-warming period by saying that the ``... current stand - still of the 5 - year running mean global temperature may be largely a consequence of the fact that the first half of the past 10 years had predominantly El Nino conditions, and the second half had predominantly La Nina conditions.»

Yet for 64 million years the Earth's surface temperature has fluctuated by only 3 %, or 8 Cº, either side of the long - run mean.

And, of course, we do not need to global climate models to run impact models with an annual average increase in the mean surface air temperature of +1 C and +2 C prescribed for the Netherlands.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to March 2018.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to April 2018.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to February 2018.

The solid blue line is the average temperature of the world's oceans between the surface and 1900m depth — the dashed line is a 13 - month running mean.

Finally, we represent the climate — carbon - cycle feedback by adding an extra, temperature - dependent component to the total anthropogenic emissions emitted each year (Ea): where T ′ is the temperature anomaly above an exponentially weighted running mean with a time constant of 100 years, and b5 is the adjustable carbon - cycle feedback parameter.

If you calculate a 12 month running mean of 850hPa temperature centered on July you will find that it pretty much follows August temperature.

That means that any heat engine that runs between the reservoirs can turn some of the temperature difference into work, increasing the entropy of those reservoirs, but gravity sorts it all out again and makes the energy available for re-use.

To point out just a couple of things: — oceans warming slower (or cooling slower) than lands on long - time trends is absolutely normal, because water is more difficult both to warm or to cool (I mean, we require both a bigger heat flow and more time); at the contrary, I see as a non-sense theory (made by some serrist, but don't know who) that oceans are storing up heat, and that suddenly they will release such heat as a positive feedback: or the water warms than no heat can be considered ad «stored» (we have no phase change inside oceans, so no latent heat) or oceans begin to release heat but in the same time they have to cool (because they are losing heat); so, I don't feel strange that in last years land temperatures for some series (NCDC and GISS) can be heating up while oceans are slightly cooling, but I feel strange that they are heating up so much to reverse global trend from slightly negative / stable to slightly positive; but, in the end, all this is not an evidence that lands» warming is led by UHI (but, this effect, I would not exclude it from having a small part in temperature trends for some regional area, but just small); both because, as writtend, it is normal to have waters warming slower than lands, and because lands» temperatures are often measured in a not so precise way (despite they continue to give us a global uncertainity in TT values which is barely the instrumental's one)-- but, to point out, HadCRU and MSU of last years (I mean always 2002 - 2006) follow much better waters» temperatures trend; — metropolis and larger cities temperature trends actually show an increase in UHI effect, but I think the sites are few, and the covered area is very small worldwide, so the global effect is very poor (but it still can be sensible for regional effects); but I would not run out a small warming trend for airport measurements due mainly to three things: increasing jet planes traffic, enlarging airports (then more buildings and more asphalt — if you follow motor sports, or simply live in a town / city, you will know how easy they get very warmer than air during day, and how much it can slow night - time cooling) and overall having airports nearer to cities (if not becoming an area inside the city after some decade of hurban growth, e.g. Milan - Linate); — I found no point about UHI in towns and villages; you will tell me they are not large cities; but, in comparison with 20-40-60 years ago when they were «countryside», many small towns and villages have become part of larger hurban areas (at least in Europe and Asia) so examining just larger cities would not be enough in my opinion to get a full view of UHI effect (still remembering that it has a small global effect: we can say many matters are due to UHI instead of GW, maybe even that a small part of measured GW is due to UHI, and that GW measurements are not so precise to make us able to make good analisyses and predictions, but not that GW is due to UHI).

Then take the running window deviation method to calculate the deviation of all the weighted proxies runs from the mean and compare it to the one from the reference temperature series.

It is basically a measure of the expected deviation of all the runs used against the reconstructed average: Take a running «window» average over a «straight» portion of the temperature reference, so that the local deviation against the local mean is calculated (for our temperature record one could simplify by detrending the record from 1940's to 2000's and calculating a deviation).

Future global vegetation carbon change calculated by seven global vegetation models using climate outputs and associated increasing CO2 from five GCMs run with four RCPs, expressed as the change from the 1971 — 1999 mean relative to change in global mean land temperature.

Being sensitive means we need to look long and hard for the smallest nit in the natter — the invisible nuance — i.e., we must continue to ignore the failure of Western education and their miserable performance based on the all too easily measureable product that is coming out of the state - run dropout factories — and, rename the earnings of the productive so that now our paychecks are government revenues needed to invest in teasing out some unmeasurable human influence on a mythical 30 year average global temperature.

Sunday, August 8, 2010 Churchville, VA — James Hansen of NASA, an ardent believer in man - made warming, announced recently that «The 12 - month running mean global temperature in the Goddard Space Institute analysis has reached a new record in 2010... NASA, June 3, 2010.

By weighted averages, if every year the global temperature is in the range and with the distribution of the global temperatures of the last ten years, then the cumulative 30 - year running mean by 2024 will continue to accelerate upward in trend, as cooler years drop out of the mean replaced by warmer years.

Figure 2, which shows the average of all the plots in Figure 1, confirms that temperature changes for the runs 2 to 5 mean are small everywhere.

However, the National Assessment Synthesis Team, co-chaired by Thomas Karl, Director of the National Climatic Data Center, took the result so seriously that they commissioned an independent replication of this test, only more inclusive, using 1 - year, 5 - year, 10 - year and 25 - year running means of the U.S. annual temperature.

(3) the 12 - month running mean global temperature in the GISS analysis has reached a new record in 2010.

Statistically speaking, that means that both models perform worse for the last 100 years than a table of random numbers applied to ten - year running mean U.S. temperatures.