Monthly Archives: April 2016

NOAA Hottest

NOAA has joined NASA in releasing data for global temperature this March, and not only is the NOAA value a scorcher, it’s the hottest temperature anomaly on record.


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CO2 Status Report

These days, blogs and news reports about global warming often include the optimistic report that emissions worldwide, and in the U.S., are on the decline. Yes, that’s a good thing. It’s important, it’s crucial.

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March Madness

NASA has released data for global temperature this March, and it’s a scorcher: the 2nd-hottest temperature anomaly on record, and the hottest March.



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Global Warming Basics: Trend Games

Climate is the rules of the game;
weather is the roll of the dice.

One of the things I emphasize most often and most strongly is that, while global temperature is forever fluctuating, it’s also showing a trend.

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I’ve added sea ice extent from JAXA (Japan Aerospace eXploration Agency) to the daily data from the Climate Data Service, in addition to sea ice extent from NSIDC and area from UIUC (Univ. of Illinois at Urbana-Champaign). It appears that JAXA data don’t have the problem we see in NSIDC.

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Bill Nye and Marc Morano Discuss “Climate Hustle” Documentary

Satellite Problems

As noted earlier, there has been a failure of an instrument on one of the satellites used to measure sea ice. As a result, NSIDC (the National Snow and Ice Data Center) has suspended their sea ice extent reporting.

I’ve released the first file of daily data for the Climate Data Service, which includes both sea ice extent (from NSIDC) and sea ice area (from UIUC, the Univ. of Illinois at Urbana-Champaign). They make it easy to see that a glitch has indeed happened

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Problem with NSIDC data

I was preparing files of daily data for the Climate Data Service when I received word that NSIDC (the National Snow and Ice Data Center) has suspended their sea ice extent reporting, due to a failure of one of the sensors on the satellite they use. They report thus:

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Debate Jeopardy!

With the U.S. presidential election this year, we’ve already been “treated” to numerous debates between candidates for nomination. We’ll eventually be privy to debates between nominees. However, many are not satisfied with the quality of the debates themselves. Perhaps changes in the rules could help things a bit.

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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.”