Sensor Error?

Published on by sunshinehours14 Comments

Update: You might ask why don’t I publish JAXA data. The data page now just redirects to a twitter page with this:

capture

Excerpt from June 14 2016 statement from NSIDC:

“On 05 April 2016, the vertically polarized 37 GHz (37V) channel of the SSMIS instrument on the DMSP-F17 satellite began yielding compromised brightness temperature data. This channel is one of those used to estimate sea ice concentration shown in the Sea Ice Index, so data processing was temporarily suspended.

NOAA@NSIDC is pleased to announce that, today, Sea Ice Index processing has resumed and the time series now uses the SSMIS instrument on the DMSP-F18 satellite beginning 01 April 2016. These sea ice concentration values come from the NSIDC Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations product. Prior to transitioning this near-real-time data set to the F18 SSMIS instrument, NSIDC investigated whether or not algorithm parameters would need to be calibrated to minimize the difference between sea ice extents derived from F17 and F18.

Because each sensor and spacecraft orbit is slightly different, algorithm parameters called tie points sometimes need adjustments so that the time series is consistent.  Inconsistencies would be marked by sudden false jumps or drops in derived ice extent at the point when the algorithm started using data from the new instrument.“

 

I’m starting to think that F18 isn’t working right. The data just looks so wrong.

South / North

USA NOAA October 2016 Tmax – 117th warmest out of 122 (122 is warmest)

Published on by sunshinehours12 Comments

According to the NOAA, October 2016 Tmax in the USA was 117th warmest out of 122. 122 wast warmest.

1963 was warmest. 1947, 1950, 1953 and 1938 were also warmer than 2016.

(I publish Tmax instead of Tavg because I believe much of the US warming is UHI making the evenings warmer which shows up in the Tmin)

noaa_oct_2016_max

 

Solar Array UHI = PVHI = 3C to 4C

Published on by sunshinehours12 Comments

Do you have a lot of solar cells in your neighborhood or city or state? Then welcome to the PVHI.

“Because there are still large uncertainties surrounding the potential for a PHVI effect, we examined the PVHI empirically with experiments that spanned three biomes. We found temperatures over a PV plant were regularly 3–4 °C warmer than wildlands at night, which is in direct contrast to other studies based on models that suggested that PV systems should decrease ambient temperatures.”

And then your region can buy more air conditioners to try and cool off the evening, which will then pump more warm moist air into the area, which will increase the night time temperatures even more and then ….