I’ve moved to WordPress. This post can now be found at Mid-May 2010 SST Anomaly Update
#################NOTE: The weekly OI.v2 SST data is available in two periods through the NOAA NOMADS website, from November 1981 to 1989, and from 1990 to present. I’ve been providing these mid-month updates with graphs that include the full term of the second batch of data. It’s really impossible to tell from those graphs what has transpired over the past few weeks due to the length of the dataset, so I’ve added shorter-term graphs, beginning in 2004, to make the wiggles visible.
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NINO3.4
NINO3.4 SST anomalies for the week centered on May 19, 2010 show that central equatorial Pacific SST anomalies are below zero and continuing their decline. Presently they’re at -0.21 deg C, which is in ENSO-neutral levels.
http://i49.tinypic.com/b5nsbn.pngNINO3.4 SST Anomalies
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http://i45.tinypic.com/16gd8p4.pngNINO3.4 SST Anomalies - Short-Term
GLOBAL
Weekly Global SST anomalies are still elevated, but they may have peaked for this El Nino. They are starting to show signs of a drop in response to the decline in central equatorial Pacific temperatures, but the global weekly data is much too variable to tell for sure.
http://i49.tinypic.com/23utxk2.pngGlobal SST Anomalies
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http://i46.tinypic.com/2whjxfp.pngGlobal SST Anomalies - Short-Term
SOURCE
OI.v2 SST anomaly data is available through the NOAA NOMADS system:
http://nomad3.ncep.noaa.gov/cgi-bin/pdisp_sst.sh?lite
2 comments:
Well done Bob.
http://pielkeclimatesci.wordpress.com/
BTW, have you seen the latest OHC rendition from Willis et al? Talk about a hockey stick!
My impression is in reality they don't know what the data is telling us. This appears to be confirmation bias in the extreme, IMO.
d: You asked, "have you seen the latest OHC rendition from Willis et al?"
I assume you're referring to Lyman et al, where Willis was part of the group. I wish I knew more about the 14 datasets they used to come up with their mean, so that we'd have a better idea which of them could be excluded, and why the earlier global OHC datasets (0-700m) don't rise as much.
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