In addition to developing maps of near - surface permafrost distributions, the researchers developed maps of maximum thaw depth, or active - layer depth, and
provided uncertainty estimates.
I've noticed that climate scientists, as well as non-scientists, appear to be biased in how they interpret statistical or predictive uncertainty, e.g.: «It should be stressed that should this be a sustained feature (and not affected by the + / - 6 Sv
uncertainty estimated in the paper), this would be extremely significant.»
Subsequent work will involve development of
uncertainty estimates for the climatologies and the establishment of regular updates to the monthly maps.
Also shown are
uncertainties estimated by Jones et al. (1997b) using a different method centred on the Jones et al. (2001) land and sea surface temperature series.
Using available climate
sensitivity uncertainty estimates (pdfs by Murphy et al., Gregory et al., Forest et al., Wigley & Raper, Knutti et al., etc...), the probability of overshooting 2 °C global mean temperature rise above pre-industrial levels for a stabilization at 550ppm CO2eq are between 70 % -99 %.
Global mean temperatures averaged over land and ocean surfaces, from three different estimates, each of which has been independently adjusted for various homogeneity issues, are consistent
within uncertainty estimates over the period 1901 to 2005 and show similar rates of increase in recent decades.
It should be stressed that should this be a sustained feature (and not affected by the + / - 6
Sv uncertainty estimated in the paper), this would be extremely significant.
Structural
bias uncertainty estimate comes from three independent proxy types, each with a 2 - sigma of 3C, so the 2 - sigma on the mean is about + -1.7 C.
The higher resolution dipole variations predicted by CALS3k.3 fall nicely within the one standard deviation
bootstrap uncertainty estimates of the strongly smoothed CALS10k.1 b, but somewhat surprisingly the estimate by CALS3k.4 (and similarly of a strongly smoothed CALS3k.4 b, see Korte & Constable 2011) is lower during 0 to 1500 AD, although they are based on the same data sets.
Adding the relevant years»
total uncertainty estimates for the HadCRUT4 21 - year smoothed decadal data (estimated 5 — 95 % ranges 0.17 °C and 0.126 °C), and very generously assuming the variance uncertainty scales inversely with the number of years averaged, gives an error standard deviation for the change in decadal temperature of 0.08 °C (all uncertainty errors are assumed to be normally distributed, and independent except where otherwise stated).
The usual health warnings were issued in the form of
statistical uncertainty estimates, but these invitations to prudence were given less attention than they deserved by most consumers of the numbers.
Reliable uncertainty estimates are needed for the prioritisation of research relating to the development of greenhouse gas inventories and for the assessment of the importance of emission sources and carbon sinks.
The SASBE could, for example, be used to constrain a radiative transfer model to provide top - of - the - atmosphere radiances with
traceable uncertainty estimates.
For example, the NH annual mean temperature series appears to exhibit skill back to at least AD 1400 (and has now been extended back to AD 1000 by Mann et al (1999), albeit with
expanded uncertainty estimates).
An important implication is that uncertainties due to uncorrected biases (which are often correlated over time) will not usually be picked up by
post-hoc uncertainty estimates, such as the estimates produced by the Skeptical Science trend calculator.
The
Berkeley uncertainty estimates do not include uncertainty from a lack of instrumental standards, are likely to underestimate the true uncertainty in Australian - mean temperature during this early period.
The total
AF uncertainty estimate of ± 0.87 W / m ² in Table 8.7 equates to an error standard deviation of 0.44 W / m ², which is taken as applying for 2002 — 2011.
This 2005 paper is headed «
Uncertainty estimates in regional and global observed temperature changes - a new dataset from 1850.»
When the interannual variation caused by weather is excluded,
uncertainty estimates for soil carbon stock change become unrealistically small.
Dipole moment predicted by spherical harmonic field models CALS10k.1 b (red), CALS3k.4 (blue), CALS3k.3 (light blue), CALS7K.2 (grey) and by the archeomagnetic VADM reconstructions by Knudsen et al. (2008)(black) and Genevey et al. (2008)(brown)
with uncertainty estimates (dashed lines and error bars) as provided by the authors, see text for details.
A sound prior is a key ingredient in the process to reach a consensus low -
uncertainty estimate of climate sensitivity to inform climate policy.»