Warming and from 400 D to 1000 D.
P65, citing ref 246, argues for a 1500 year cycle (as does Fred Singer’s book). If this
applied with middle of LI
(1650) as peak low:
(a) we could expect allegedly natural
warming for another few centuries (b) Roman times (150 tionally cold.
D) should have been excep-
Misrepresentations in these sections already noted above are
misrepresents what ref 217 states about RW;
reference 239 contains only one (Central England) temperature series;
extensive misrepresentation of data from reference 255;
incorrect claim about borehole data in ref 256;
Of the footnotes 213–400 there are a number of repeated references (and a few footnotes that are definitions and not references). It has not been possible to access every reference cited by Plimer in theses sections. Those that have been accessed are listed below. The selection emphasises the most recent work, since that is in general more readily available in electronic form.
214 seems to misunderstand the significance of the sea-level changes reported by Lambeck et al. , but the important point is that this paper does not present estimates of tem-
215 This reference does not report estimated temperatures — the majority of the records do not extend back into Roman times.
Lebreiro et al.  does not really estimate temperatures. It looks for climatological
variation indicated by marine sediments. It shows the most distinct change as occurring
between the MWP and LI
with the two sets of cores showing (opposite) changes be-
identified as due to local influences rather than global temperature. that “The D could have been as warm as the MWP.”
In particular they note
217 Lamb  – the actual statement in Lamb’s book concerning Roman times is that ‘it may well have been warmer than now’ – where ‘now’ refers to some time before 1977.
s indicated by its title, reference 219 [Badal et al., 1994] addresses the period prior to 4000 BP and does not address Roman times.
220 Desprat et al (incorrectly cited as vol 2134, rather than 213) do not report any temperature estimates from their pollen data.