In particular it has a lot more Arctic stations than does the GHCN set. So my first regional application with TempLS will be to Arctic trends.
I defined two regions - Arctic N of 60°, and HiArctic N of 70°. I ran TempLS using both GHCN and GSOD - GHCN coverage was sparse. The trends for GSOD were:
| Trend °C/Dec | ArGSOD | HiArGSOD |
| Number | 1935 | 244 |
| Trend 1979-2009 | 0.5694 | 0.9063 |
| Trend_se | 0.08664 | 0.1272 |
and for GHCN:
| Trend °C/Dec | ArGHCN | HiArGHCN |
| Number | 294 | 47 |
| Trend 1979-2009 | 0.4677 | 0.6971 |
| Trend_se | 0.08894 | 0.1016 |
| Arctic GSOD | Arctic GHCN |
 |  |
 |  |
 |  |
| High Arctic GSOD | High Arctic GHCN |
 |  |
 |  |
 |  |
Both datasets show strong warming since 1979, especially in the High Arctic. The more numerous GSOD data shows a greater trend (0.9 °C/Decade).
Posts
Still noisy, though.
ReplyDeleteThe jump in the high arctic around 2005 stands out a bit. Might be worth doing an EM Smith test there - make sure the stations that dropped off around that time weren't trending differently than the ones that stayed.
Well, even tho GHCN has few high arctic stations, it and GSOD show the same jump, and I don't see a dropoff in GSOD stations at that time.
ReplyDeleteI'm planning to do a regional trend plot - but I need a new set of orthogonal functions for it.
When Arctic loses ice, winter in USA / Europe are colder; because water absorbs more coldness / releases extra heat - that coldness is spread south by the currents: http://globalwarmingdenier.wordpress.com/midi-ice-age-can-be-avoided/
ReplyDelete