Sentences with phrase «possible estimate of global temperature»
Executive Summary The Berkeley Earth Surface Temperature project was created to make the best possible estimate of global temperature change using as complete a record of measurements as possible and by applying novel methods for the estimation and elimination of systematic biases.
https://www.scientificamerican.com/ Not exact matches
The CDR potential and possible environmental side effects are estimated for various COA deployment scenarios, assuming olivine as the alkalinity source in ice ‐ free coastal waters (about 8.6 % of the global ocean's surface area), with dissolution rates being a function of grain size, ambient seawater temperature, and pH. Our results indicate that for a large ‐ enough olivine deployment of small ‐ enough grain sizes (10 µm), atmospheric CO2 could be reduced by more than 800 GtC by the year 2100.
Then, it might be possible to make some meaningful estimates of long - term global temperature trends from the weather records.
Surface warming / ocean warming: «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Estimating changes in global temperature since the pre-industrial period» «Possible artifacts of data biases in the recent global surface warming hiatus» «Assessing the impact of satellite - based observations in sea surface temperature trends»
But linear regression is known to give the best possible unbiased estimate of its parameters for any linear function of the data — if a regression can not give a reliable enough estimate of the global average temperature, it seems inevitable that the current method must be worse.
What I object to strongly, is people trying to claim that the estimates make it possible to claim that adding CO2 to the atmosphere causes global temperatures to rise with some sort of probability.
Key vulnerabilities are linked to specific levels of global mean temperature increase (above 1990 - 2000 levels; see Box 19.2) using available estimates from the literature wherever possible.
Lower case a-h refer to how the literature was addressed in terms of up / downscaling (a — clearly defined global impact for a specific ΔT against a specific baseline, upscaling not necessary; b — clearly defined regional impact at a specific regional ΔT where no GCM used; c — clearly defined regional impact as a result of specific GCM scenarios but study only used the regional ΔT; d — as c but impacts also the result of regional precipitation changes; e — as b but impacts also the result of regional precipitation change; f — regional temperature change is off - scale for upscaling with available GCM patterns to 2100, in which case upscaling is, where possible, approximated by using Figures 10.5 and 10.8 from Meehl et al., 2007; g — studies which estimate the range of possible outcomes in a given location or region considering a multi-model ensemble linked to a global temperature change.
Magnitudes of impact can now be estimated more systematically for a range of possible increases in global average temperature.