Daily Archives: April 11, 2016

Climate Data Service 2

I released the first files for the climate data service today, a day ahead. I’ve already gotten some feedback, so I’ll answer it here.

This is beyond awesome! I’ve kept an up to date version of a handful of these series but nothing like this. I’m teaching time series right now and can’t wait to unleash my students on these data. Quick question: in fields2.csv you note that all anomalies use the baseline period Jan.1900 – Dec.1999. I assume that is true for both files ‹ the global data as well as the US data. True?

Wish list:
For the temp data sets I use Cowtan and Way sometimes and Berkeley too. You might could add those ‹ but how many temp data sets do you really need?
And for ice I use the PIOMAS volume data in addition to the NCIDC data.
TSI in addition to sunspots.
An aerosol time series?

It would be nice to have a link to the source data in the fields files too I suppose.

What a resource.

Thanks a zillion

The baseline period Jan.1900 – Dec.1999 applies to US state-by-state data only. Other fields are either already anomaly (global temp series) or are baselines chosen logically. I’ll update the documentation to provide that information.

I plan to add both Cowtan & Way, and Berekely Earth, soon. I too wonder “how many global temp time series do you need?” but I sometimes want to use them all. It presently includes the big five (GISS, NOAA, HadCRU, RSS, UAH) but both C&W and Berkeley are prominent enough to include.

I suspect that PIOMAS sea ice volume data has some problems. But I might as well include it — it’s up to users what to do with it.

I thought about TSI (in addition to sunspots) but I don’t know where to get it that’s *up-to-date*. That’s why I use sunspot counts for regression analysis — it’s easy to keep current. I’ll consider adding TSI anyway. Patience, …

Aerosol time series is also tricky. For regression I’ve just infilled recent values with zero because data aren’t very current. I’ll add it to the “coming-but-not-so-soon-list.”