Sentences with phrase «mean central estimate»
The IPCC's current multi-model mean central estimate of the warming in response to a doubling of CO2 concentration is 3.3 K (IPCC, 2007, p. 798, box 10.2).
https://wattsupwiththat.com/ Not exact matches
Growth in electronic exchange trading and the use of central clearing will mean that their share of the capital markets revenue pool will grow to 19 %, representing an estimated $ 125 billion, by 2020 — an impressive rise from 8 % in 2006.
The Chairman, Senate Committee on Health, Senator Lanre Tejuoso (APC Ogun Central), has explained that the N57.1 billion expected to be realized from the one percent deduction from consolidated revenue fund in the 2018 budget estimates, is strictly meant for the provision of primary health care service delivery.
The Chairman, Senate Committee on Health, Senator Lanre Tejuoso (APC Ogun Central), has explained that the N57.1 billion expected to be realized from the one percent deduction from consolidated revenue fund in the 2018 budget estimates, is strictly meant for the provision of primary health care service...
The point remains whatever measure of central tendency you use, the estimates of central tendency are all over the place, mean, mode, median, and that means you have to be foolhardy or Nic Lewis / Judith Curry to narrow the probability of outliers.
None of the SRES scenarios represents an estimate of a central tendency for all driving forces and emissions, such as the mean or median, and none should be interpreted as such.
Millar et al. wrote the confusing sentence: «in the mean CMIP5 response cumulative emissions do not reach 545GtC until after 2020, by which time the CMIP5 ensemble - mean human - induced warming is over 0.3 °C warmer than the central estimate for human - induced warming to 2015».
The effect on global - mean temperature of assuming a large value for indirect aerosol forcing (viz. − 1.8 W / m2 in 2005, the 95th percentile value according to the IPCC AR4) compared with temperatures for the central indirect forcing estimate (− 0.7 W / m2) and a less extreme maximum of − 1.1 W / m2.
«The global mean temperature for 2015 is expected to be between 0.52 C and 0.76 C above the long - term (1961 - 1990) average of 14.0 C, with a central estimate of 0.64 C.»
The global mean temperature for 2015 is expected to be between 0.52 °C and 0.76 °C * above the long - term (1961 - 1990) average of 14.0 °C, with a central estimate of 0.64 °C, according to the Met Office annual global temperature forecast.
Lewis and Curry report median values as their central estimate, whereas many other studies report (ed) mean values.
The IPCC predicts, as its central estimate, 1.5 K warming by 2100 because of the CO2 we add this century, with another 0.6 K for «already - committed» warming and 0.7 K for warming from non-CO2 greenhouse gases: total 2.8 K (the mean of the predictions on all six emissions scenarios).
The mean is not a good central estimate for a highly skewed probability distribution, which that using data only up to 2000, in particular, is.
The average central trend estimate of the four datasets for WAIS is 0.18 °C / decade for the annual mean.
The point remains whatever measure of central tendency you use, the estimates of central tendency are all over the place, mean, mode, median, and that means you have to be foolhardy or Nic Lewis / Judith Curry to narrow the probability of outliers.
The mean is not a good central estimate for a parameter like climate sensitivity with a highly skewed distribution.
Since no such effect has been observed or inferred in more than half a billion years of climate, since the concentration of CO2 in the Cambrian atmosphere approached 20 times today's concentration, with an inferred mean global surface temperature no more than 7 ° K higher than today's (Figure 7), and since a feedback - induced runaway greenhouse effect would occur even in today's climate where b > = 3.2 W m — 2 K — 1 but has not occurred, the IPCC's high - end estimates of the magnitude of individual temperature feedbacks are very likely to be excessive, implying that its central estimates are also likely to be excessive.
To obtain an estimate, the ice area from a central Arctic subregion is regressed with the previous years and their September mean extents.