Sentences with phrase «detect changes in the global temperature»

So the ability to detect changes in the global temperature is the yard stick to measure the global effects of CO2 emissions.

As I pointed out here, there seems to be a developing and increasing problem with the station data having the ability detect changes in the global temperature.

I am not saying the station data isn't useful, but I am arguing that it is not sensitive at detecting changes in global temperature.

Not exact matches

«We really can't detect these changes yet in the existing data in the way we can detect in changes, for example, in the global mean temperature,» he said.

Which in fact makes me think of the issue raised by some skeptics about our ability to reliably detect global temperature changes of tenths of a degree in the past century.

If the most commonly cited temperature sets can not detect the easy changes in the climate, then how is it going to detect the subtle changes associated with the theory of global warming.

It would have to be shown that the recent temperature record can be statistically significantly distinguished from the statistically significant warming signal, which can be detected when performing an analysis that uses data over multiple decades, from the mid-1970ies to present, or from the mid-1970ies up to the time, when the alleged change in the behavior of the global atmospheric temperature is supposed to have occurred.

Reckova and Irsova (2015) also detected a publication bias after analyzing 16 studies of carbon dioxide concentrations in the atmosphere and changes in global temperature.

1) a quasi-60 year cycle has been detected in several proxy during the last centuries and for several millennia, For example in numerous Holocene records, such as in Davis J.C., and Bohling G., The Search for Patterns in Ice - Core Temperature Curves: in Gerhard, Lee C., William E. Harrison, and Bernold M. Hanson, eds., Geological Perspectives of Global Climate Change, 213 - 230 (2001).

When trying to detect global warming, the method that is most effective at detecting changes in the Earth's temperature is the better method.

«Working with data pertaining to 7450 cardiovascular - related deaths that occurred within Budapest, Hungary, between 1995 and 2004 — where the deceased were «medico - legally autopsied» — Toro et al. looked for potential relationships between daily maximum, minimum and mean temperature, air humidity, air pressure, wind speed, global radiation and daily numbers of the heart - related deaths... scientists report and restate their primary finding numerous times throughout their paper, writing that (1) «both the maximum and the minimum daily temperatures tend to be lower when more death cases occur in a day,» (2) «on the days with four or more death cases, the daily maximum and minimum temperatures tend to be lower than on days without any cardiovascular death events,» (3) «the largest frequency of cardiovascular death cases was detected in cold and cooling weather conditions,» (4) «we found a significant negative relationship between temperature and cardiovascular mortality,» (5) «the analysis of 6 - hour change of air pressure suggests that more acute or chronic vascular death cases occur during increasing air pressure conditions (implying cold weather fronts),» (6) «we found a high frequency of cardiovascular death in cold weather,» (7) «a significant negative relationship was detected between daily maximum [and] minimum temperature [s] and the number of sudden cardiovascular death cases,» and (8) «a significant negative correlation was detected between daily mean temperature and cardiovascular mortality.»

Climate change in the latter half of the 20th century is detected based upon an increase in global surface temperature anomalies that is much larger than can be explained by natural internal variability.

«Warming during the past half century can not be explained without external radiative forcing Global Extremely likely (> 95 %)[1] Anthropogenic change has been detected in surface temperature with very high significance levels (less than 1 % error probability).