I used to use Lisiecki's reconstruction from 2010 for #CO2 https://www.ncei.noaa.gov/access/paleo-search/study/15695 but at one point, I found Yamamoto a better fit. IIRC, it was because Yamamoto's CO2 declines gradually from 400ky on, after the interglacial "MIS 11" which I investigated in some depth as best analog for our climate today,
while Lisiecki's CO2 drops abruptly at 380ky. A comparison of both and the strong differences can be seen here https://nitter.nl/pic/orig/media%2FFTv1cyRX0AMoND4.jpg

Lisiecki is the queen of paleo reconstruction, I think, so it seems appropriate to explain why I don't refer to her CO2. I also replaced her d18O versions with others, eg. Starr 2020 and Lawrence 2009 for South and North Atlantic respectively. And recently I found a new age model that better fitted some quirky #pliocene sealevel events I was investigating, compared to Lisiecki's age model "LR04" which is the "age bible" for #paleoclimate, I gather. But I haven't tried yet to see if I can make it work on the data records that are often based on or sxnchronized with Lisiecki's age model, I think. (Hatfield https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021GC009677 )

#tegtmeier #TegtmeierBasics

I use this chart as template for when I want to see a particular proxy for #paleoclimate in the bigger context of Earth's #climate factors. Because I add many and varying #proxy records to this template, they need to fit either y-axes. So all records get re-scaled. The individual formula is given in brackets () in the legend, eg., (*10000, /20, +2).
The x-axis is kiloyear ky before present BP (BP is 1950), data resolution is in centuries.

The background of the chart is always the #Milankovic cycles: #Eccentricity as black area, #obliquity / tilt in pink and climatic #precession favoring North in gold and favoring South in darker rosé.
Standard curves are CO2 (gray), CH4 (dark magenta), and sealevel (light blue). CO2 and CH4 are at home on the left y-axis, by the way. Virtually all other proxies end up to be at home on the right hand y-axis.

When I add a proxy from the Southern hemisphere, I usually choose a red-ish colour, and gold-ish for proxies from the NH. Exception to the rule is the tropical South American glacier index "TEG" in white.

Sources for the standard items in this chart are:
- #Milankovic cycles from Laskar 2004 / 2010 http://vo.imcce.fr/insola/earth/online/earth/online/index.php
- #SeaLevel (light blue) from Miller 2020 https://www.science.org/doi/full/10.1126/sciadv.aaz1346
- #CH4 #methane (dark magenta) from Loulergue 2008 https://www.ncei.noaa.gov/access/paleo-search/study/6093
- #CO2 (gray) from M. Yamamoto 2020 https://www.ncei.noaa.gov/access/paleo-search/study/34052

Non-standard proxies in this version for the #tegtmeier thread on modern humans :
- #d18O (magenta) for sea surface temperature in the South Atlantic from Starr 2020 (published January 2021) https://www.nature.com/articles/s41586-020-03094-7
- #Glacier index TEG (white) from Rodbell 2020 https://www.nature.com/articles/s41586-022-04873-0
- ºC in subtropical Africa from Chevalier 2021 https://pubs.geoscienceworld.org/gsa/geology/article/49/1/71/590736/Temperature-change-in-subtropical-southeastern

I use #LibreOffice #Calc.

#TegtmeierBasics

Computation of various insolation quantities for Earth