Start off with a pile of global radiation / global dimming / global brightening, and indeed moisture trends (the best dataset for soil moisture comes from the FSU cos they cared about their wheat fields). A model works better to simulate soil moisture trends (increasing) if dimming taken into account.
Put up my wildly exciting sea-ice and AR4 models poster and browse amongst the others. Bit of a misc morning.
Crucifix: looking at climate sensitivity. LGM climate sens in models do not seem to be related to their CS for 2xCO2. Or for mid-holocene, or for the seasonal cycle. Because the forcing has a different pattern. What wasn’t clear was whether this affects the idea of constraining future CS by LGM bounds. Much ask Julia (or James, if you’re out there).
Krinner: why was Asia ice free in the LGM? 10/15 of PMIP models build up permament snow cover there. Suggestion: because of dust deposition there affecting the albedo. It was much dustier during the LGM, and there is a nice Gobi desert for a source, so this fits, and in his GCM it works.
Quirky poster of the day: “Do geomagnetic variations affect the foliar spiral direction of coconut palms?”. Coconut palms, apparently, grow either left or right hand spirals and this is not genetically determined; it is related to latitude, but better to geomagnetic latitude; and may well relate to earth currents. Curious. Nice to see some science-with-no-obvious-consequences still being done.
Bunk off to the Natural History museum for the afternoon, soon. First…
To Julia Hargreaves talk in the PMIP session. Its intersting stuff, or at least I think it is, because in 12 mins there was not enough time to understand it all. Or evem I fear, the main point; though it still connects to the estimating climate sensitivity, this time using proxies for LGM tropical ocean T and the MIROC gcm. I ask a “rude” question 🙂 (is your model good enough to be saying anything useful?) to which an ambiguous answer is returned.