UAH Temperature plots for Dec 2015

UAH Global, Land and Ocean Anomalies

UAH Northern Hemisphere, Land and Ocean Anomalies

UAH Southern Hemisphere, Land and Ocean Anomalies

UAH Antarctic, Land and Ocean Anomalies

UAH Arctic, Land and Ocean Anomalies


2 thoughts on “UAH Temperature plots for Dec 2015

  1. Hope you will not be offended by this observation and comment. In these figures I can see many data points which are nowhere near the curves which oscillate. Are these points noise? I doubt it. The study of the conditions which result in these extremes might give insight into the factors which cause deviations from some ‘average’ value. December and January are months when the average monthly precipitation at Salem OR USA is the greatest of the year. But this past December the monthly precipitation was more than twice this average value, and when half way through January the average for the month has already occurred, according to reports to which I listen. I do not attempt to quote the specific amounts because it is the general amounts which is the issue. Because, these much larger than normal amounts are not the result of one huge weather event as is now according on the East Coast, I conclude that the abnormal weather occurring on the West coast is the result of a somewhat consistent change in circulation patterns possibly caused by some abnormal weather pattern at a significant distance from my location. Of course, we now have enough information to conclude that the abnormal weather along the coast of Peru and Chile and the abnormal weather observed at many locations about the world are not random events unrelated to one another. So the mystery is what is the random cause (s) of these events which do not seem to be part of periodic cycle.

  2. I left the points to provide a context for the low pass filter(s) that are displayed over them. The Annual Gaussian filter (comprising a three stage filter with inter-stage values as recommended by Vaughn Pratt) came about from a discussion on Judith’s site about how best to create an annual summary of the data without digital distortions that arise if ‘mixing’ with a square wave which is in effect what a box-car summary is.

    Produces all sort of nasty in-band and out-of-band smearing of the data. As Vaughn Pratt has already observed 2 years ago. (See Judith’s site for details. and url, etc. – see Ace in the Hole and further down for me pointing the publication on Anthony’s site following our previous discussions).

    The S-G is the best estimation guide that I can recover from the data available (like LOWESS in stats) but if anyone can come up with a better solutions or Vaughn Pratt can suggest better, then I’ll adopt in a heartbeat. I’ll take his judgement on these matters to be right.

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