Sentences with phrase «temperatures over any period results»

Averaging the daily high temperatures over any period results in a mean maximum temperature for that period.

Not exact matches

«Looking at weather and dengue incidents over longer periods, we found a similar strong link between how increased rainfall and warmer temperatures resulting from the reoccurring el Niño phenomenon are associated with elevated risks of dengue epidemics.

«If water temperatures increase as a result of climate change, this could have far - reaching consequences not only for the individual species, but also for the balance of the ecosystem, which has developed over a long period of time,» says Luckenbach.

Results from a multiregression analysis of the global and sea surface temperature anomalies for the period 1950 — 2011 are presented where among the independent variables multidecade oscillation signals over various oceanic areas are included.

My understanding is that an Anomaly is the average temperature variation over a period relative to a baseline, if the temperature is greater it results in a positive anomaly, if it is equal to the baseline then there is zero anomaly and if it is less than the base line it is a negative anomaly.

The resulting relationship is consistent and indicates that on - site temperature provides a good estimate of ablation over a multi-week period regardless of location at a Snotel site or on a glacier.

Most global warming skeptics believe that humans have some measurable impact on global temperatures and the climate, but that natural climate forces, over longer periods, will overwhelm the human influence... in addition, skeptics believe that the human influence will not result in the hysterical catastrophic climate disasters presented by doomsday pundits...

If one's hypothesis is correct about man - made global warming, then X amount of CO2 over time period Y should result in temperature Z.

This result is based on short term observations of temperature changes while CO2 concentrations were approximately constant, so they only hold true over periods when CO2 does not change much.

Over this period the mean CR intensity appears to have fallen by less than 0.6 % using the data of Bazilevskaya et al. (2008)... the increase in temperature predicted [as a result] is 0.002 C, a value that is quite negligible to the Global Warming in this period...

The short - term change in surface temperature over the 2000 - 2010 period is a result of ocean heat being exchanged with the atmosphere (via ENSO).

The point they make may be summarized by the following quote: «While in the observations such breaks in temperature trend are clearly superimposed upon a century time - scale warming presumably due to anthropogenic forcing, those breaks result in significant departures from that warming over time periods spanning multiple decades.»

I attempted to create a simple model for calculation purposes on the skepticalscience site and even with overly conservative numbers (that favored AGW) i couldn't account for the 0.73 C increase in temperatures over the 36 year period by the reduction in OLR even using the authors» modeled results (which was between 1 - 2K reduction in OLR Brightness Temperature).

As a result, only 1 out of 7 Global or Land / Ocean (ie, global less polar regions) temperature indices shows a negative trend over that period (HadCRUT4 -0.002 + / - 0.059 C / decade).

You may wonder why the government finds the need to pursue such action since 1) U.S. carbon dioxide emissions have already topped out and have generally been on the decline for the past 7 - 8 years or so (from technological advances in natural gas extraction and a slow economy more so than from already - enacted government regulations and subsidies); 2) greenhouse gases from the rest of the world (primarily driven by China) have been sky - rocketing over the same period, which lessens any impacts that our emissions reduction have); and 3) even in their totality, U.S. carbon dioxide emissions have a negligible influence on local / regional / global climate change (even a immediate and permanent cessation of all our carbon dioxide emissions would likely result in a mitigation of global temperature rise of less than one - quarter of a degree C by the end of the century).

In Jones et al 1990 it is reported that data for the US showed an urban influence of 0.15 C over the period 1901 - 1984 and that «The results for the United States clearly represent an upper limit to the urban influence on hemispheric temperature trends.»

The results are qualitatively consistent with trends in NCEP atmospheric temperatures (which must also be treated with great caution) that show an increase in the stability of the convective boundary layer as the global temperature has risen over the period.

The updated data shows a statistically significant global warming trend over the 1998 - 2012 period and the authors note that their results «do not support the notion of a «slowdown» in the increase of global surface temperature.»

To summarize, there is a severe annual cycle in the UAH LT data set that results in a noticeable divergence in both the global and tropical monthly temperature trends over the 1979 - 2008 period.

These range from simple averaging of regional data and scaling of the resulting series so that its mean and standard deviation match those of the observed record over some period of overlap (Jones et al., 1998; Crowley and Lowery, 2000), to complex climate field reconstruction, where large - scale modes of spatial climate variability are linked to patterns of variability in the proxy network via a multivariate transfer function that explicitly provides estimates of the spatio - temporal changes in past temperatures, and from which large - scale average temperature changes are derived by averaging the climate estimates across the required region (Mann et al., 1998; Rutherford et al., 2003, 2005).

I find Shindell's results difficult to reconcile with the observed evolution of hemispherical and tropical temperatures relative to GMST over the historical period.

«Or expressing that in weather terms, you can't predict the exact route a storm will take but the average temperature and precipitation will result the same for the region over a period of time.»