Sentences with phrase «mean temperature variation»

The full range of global mean temperature variation during the last 1000 years — which has seen the coming and going of a Little Ice Age — is only about one degree C.

Spectral analyses suggested that the reconstructed annual mean temperature variation may be related to large - scale atmospheric — oceanic variability such as the solar activity, Pacific Decadal Oscillation (PDO) and El Niño — Southern Oscillation (ENSO).

For example, they show that the modern instrumental record averaged only over their 14 sites captures the full Northern Hemisphere mean temperature variations remarkably well over the available (approximately 150 years) interval.

Figure caption: (upper left) HadCRUT 3V mean T (2m) anomaly over 1976 - 2005 (wrt to 1950 - 1980); (upper right) The GISS — HadCRUT 3V difference in mean T (2m) over 1976 - 2005; and (lower) the Northern Hemisphere mean temperature variations (red = GISTEMP, black = HadCRUT 3v).

I agree with your comments about the IPCC process and the relatively poor IPCC AR5 discussion on ECS and 1998 - 2012 global mean temperature variations (I don't use the word «h *****»).

The original hockey - stick analysis plotted reconstructed Northern Hemisphere mean temperature variations since 1400 and found that since 1900, temperatures have increased to give the graph its distinctive shape (Nature 1998, 392, 779 - 787).

The original hockey - stick analysis was published in the leading science journal Nature (1998, 392, pp. 779 - 787) and plotted reconstructed mean temperature variations in the Northern Hemisphere since 1400.

«[97] Section 4 indicates that the broadest features of the «so - called» MWP and LIA can be seen in the reconstructions of large - scale mean temperature variations over the past millennium, but such reconstructions show considerably greater detail that defies the use of these simplistic terms.»

Terrestrial mean temperature variations are a compound consequence of several factors, principally solar variations and greenhouse gases.

Not exact matches

«We see this in the Antarctic Dry Valleys, where seasonal temperature variation is sufficient to form and sustain lakes even though mean annual temperature is well below freezing,» Palumbo said.

Here we show that variation in phytoplankton temperature optima over 150 degrees of latitude is well explained by a gradient in mean ocean temperature.

As alluded to in our post, one important issue is the possibility that changes in El Nino may have significantly offset opposite temperature variations in the extratropics, moderating the influence of the extratropical «Little Ice Age» and «Medieval Warm Period» on hemispheric or global mean temperatures (e.g. Cobb et al (2003).

That mean global tropospheric temperature has for the last 50 years fallen and risen in close accord with the SOI of 5 — 7 months earlier shows the potential of natural forcing mechanisms to account for most of the temperature variation.

Tsushima, Y., A. Abe - Ouchi, and S. Manabe, 2005: Radiative damping of annual variation in global mean surface temperature: Comparison between observed and simulated feedback.

He then uses what information is available to quantify (in Watts per square meter) what radiative terms drive that temperature change (for the LGM this is primarily increased surface albedo from more ice / snow cover, and also changes in greenhouse gases... the former is treated as a forcing, not a feedback; also, the orbital variations which technically drive the process are rather small in the global mean).

From really independent sources we know now that there has been considerable variation in mean temperatures.

Do you mean by, «simple mixed layer ocean» that the variations of ocean temperature with depth are not part of the analysis?

As long as the temporal pattern of variation in aerosol forcing is approximately correct, the need to achieve a reasonable fit to the temporal variation in global mean temperature and the difference between Northern and Southern Hemisphere temperatures can provide a useful constraint on the net aerosol radiative forcing (as demonstrated, e.g., by Harvey and Kaufmann, 2002; Stott et al., 2006c).

One finds on the secular time scale that both of the X - and Y - component temporal, annual - means profiles of the Earth's Orientation mimic exactly the Global Temperature Anomaly (GTA) annual means profile On the decade time scale one finds that the GTA mimics the Geomagnetic Dipole variations and the variations in the Earths Anomalous Rotation Rate [i.e., Excess Length of Day (ELOD) Annual Memeans profiles of the Earth's Orientation mimic exactly the Global Temperature Anomaly (GTA) annual means profile On the decade time scale one finds that the GTA mimics the Geomagnetic Dipole variations and the variations in the Earths Anomalous Rotation Rate [i.e., Excess Length of Day (ELOD) Annual Memeans profile On the decade time scale one finds that the GTA mimics the Geomagnetic Dipole variations and the variations in the Earths Anomalous Rotation Rate [i.e., Excess Length of Day (ELOD) Annual MeansMeans].

Just like the rest of Fiji, Viti Levu has a tropical climate, meaning that the weather is nearly always warm and there is little seasonal variation in temperature throughout the year.

As alluded to in our post, one important issue is the possibility that changes in El Nino may have significantly offset opposite temperature variations in the extratropics, moderating the influence of the extratropical «Little Ice Age» and «Medieval Warm Period» on hemispheric or global mean temperatures (e.g. Cobb et al (2003).

Full climate models also include large regional variations in absolute temperature (e.g. ranging from -50 to 30ºC at any one time), and so small offsets in the global mean are almost imperceptible.

In the Swanson and Tsonis paper it is suggested that the decadal variations of the global mean temperature, the climate shifts, observed in the 20th century are basically caused by the synchronization of four modes.

Another equally important challenge is the fact that there are pronounced ~ 11 - year variations in the CRF, but the presence of ~ 11 - year variations in the global mean temperature are much less pronounced than the trend over the 3 — 4 most recent decades.

Therefore, the potential intensity depends mostly on variations of SST (which controls hs *) for climate variations that do not affect the mean temperature of the troposphere.

By contrast the hockey stick shows virtually no change over 1,000 years in the mean temperature and only a small variation in temperature over the past 1,000 years (+ - 0.2 degrees variation from the mean)(ignoring the recent uptick in temperatures).

If the CRF were so important (and the cloud response near - instantaneous) why do we not see more pronounced ~ 11 - year variations in the global mean temperature?

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.

A similar conclusion was drawn from a similar analysis applied to a (spatially sparse) global network of monthly mean temperatures, where the effect of spatial dependencies for inter-annual and inter-decadal variations could be ruled out (Benestad, 2004).

Since we know natural unforced variation can account for no more than a plus or minus 0.15 degrees in temperatures about the forced mean, by adding some natural variation the total temperature rise can be easily accounted for.

Indeed it was Law Dome, not the Taylor Dome... I had written that from memory, but as my memory is not anymore what it was 40 years ago... What I meant was a graph on the Internet, showing the Law Dome ice core CO2 variations, lagging the temperature variations with some 50 years (with ~ 10 ppmv / K, similar to the factor found over the Vostok ice core trends).

That means that models with high 2xCO2 sensitivity will show an overshoot for current temperatures, if the real variation in the past was larger.

Also, just because the average pole - to - equator temperature gradient is decreasing doesn't mean that the seasonal variation won't still be in place, and then there's the whole issue of the hydrologic cycle intensification — a moister atmosphere carries more latent heat and thus may generate more intense mid-latitude storms as well.

Now draw a picture of the globe and show on it what you call «average temperatures» for whatever zones you choose to draw on it; then show recent variations from those «averages» — the variations from the longterm average in a higher latitude zone don't mean as much, because we're comparing today's measurement to averages based on fewer numbers, collected over fewer years in fewer places, when looking at variation near the Poles.

Miskolczi's argument means any variations in global temperature are almost all due to changes in solar and geothermal energy.

Figures A and B show past variations in the global mean temperature inferred from direct measurements (A) and from the analysis of ice - cores (B).

The average location therefore has NOT actually experienced an increase in mean annual temperature clearly outside the range of normal variation for that location.

It can be seen from basic greenhouse theory that greenhouse warming should amplify not only the global mean surface temperature but also any variations in the global mean surface temperature that are from non-greenhouse sources at the same rate.

Variations in global - mean temperature are inferred from three different sets of measurements: surface observations, satellite observations, and radiosonde observations.

It is no surprise there is significant disagreement over the amount of warming estimated — as James Hansen and the Goddard Institute for Space Studies explain7, there is no clear definition of what we mean by absolute surface air temperature and wide variation in the estimated mean surface temperature of the planet.

In this data set» printf, 1,» this «decline» has been artificially removed in an ad - hoc way, and» printf, 1,» this means that data after 1960 no longer represent tree - ring printf, 1,» density variations, but have been modified to look more like the printf, 1,» observed temperatures.»

Also recognizable are numerous apparently natural climate variations, for example, strong temporary cooling in the North Atlantic from the 1950s through the 1970s, which contributed to the lack of global - mean temperature increase during that time.

It means you can quantitatively MEASURE the effect that CO2 has on global temperatures against the background on natural noise variations.

From really independent sources we know now that there has been considerable variation in mean temperatures.

Method 1: «The composite - plus - scale (CPS) method, «a dozen proxy series, each of which is assumed to represent a linear combination of local temperature variations and an additive «noise» component, are composited (typically at decadal resolution;...) and scaled against an instrumental hemispheric mean temperature series during an overlapping «calibration» interval to form a hemispheric reconstruction.

The truth is nobody has the slightest idea what the small variations in «global temperature» over the course of the 20th century (or any other century) are supposed to mean.

Because the sampling of the «no - dendro» dataset is much sparser, we expect that it will be more influenced by regional variations, and less representative of the true NH mean temperature.

If precipitation or fertilization variations can — either theoretically or observationally — alter the temperature signal and you have no effective means to adjust for this, you have a dud proxy, QED.

We estimate the low - frequency internal variability of Northern Hemisphere (NH) mean temperature using observed temperature variations, which include both forced and internal variability components, and several alternative model simulations of the (natural + anthropogenic) forced component alone.

Large variations will be evened out, and global mean temperature peaks (and troughs) are unlikely to coincided with peaks (and troughs) of individual regions.