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Note that the difference with the satellite temperatures isn’t as pronounced as with CFSv2 Tsfc data, but the Had CRUT4 data has more of an upward trend: The UAH LT global anomaly image for October, 2017 should be available in the next few days here.

The new Version 6 files should also be updated in the coming days, and are located here: Lower Troposphere: Stratosphere: area-averaged lower tropospheric temperature anomalies (departures from 30-year calendar monthly means, 1981-2010).

These satellites do much more than monitor sea ice, and the decision was made knowing that we have more modern satellites that can do these jobs now. long ago made the decision to help Japan take the lead on this capability. Science Team leader on that instrument, I and others helped Japan become a leader in producing and interpreting this kind of data.

The specific sensor on that satellite that monitors sea ice, the SSMIS, is a modified microwave radiometer that was first launched in July, 1987, and was designed in the early 1980s. Long Ago Decided to Let Other Countries Take Over I have worked with satellite microwave radiometers for 30 years now, doing NOAA and NASA sponsored research with them. As a result, the Japanese built the AMSR-E instrument with newer technology, more microwave channels, and higher spatial resolution to fly on NASA’s Aqua satellite in 2002. After the failure of AMSR-E in 2011, Japan launched an even better version — AMSR2 — on their own GCOM-W satellite.

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The simple little probability problem below has apparently been debated for many years.

While we can expect individual months to have rather large differences between surface and tropospheric temperature anomalies (due to the time lag involved in excess surface warming to lead to increased convection and tropospheric heating), some of the differences in the above plot are disturbingly large and persistent. As I understand it, the NCEP CFS reanalysis dataset is the result of collaboration between NOAA/NCEP and NCAR, and uses a wide range of data types in a physically consistent fashion.

I probably need to bring in one of the dedicated surface-only datasets for further comparison…I don’t recall the Had CRUT4 Tsfc dataset having this large of disagreements with our satellite deep-layer temperatures.

Because microwaves penetrate clouds, and since the polar regions are often cloudy, these window-frequency microwave radiometers have become the workhorses of sea ice monitoring. They are currently designing a third one for launch. Satellites Could Help Out as Well Even without the newer and fancier AMSR series of sea ice monitoring instruments, and even with the complete failure of the old SSMIS series of satellite instruments (many of these last much longer than their design lifetime), in a pinch we could use the window channels of the AMSU sensors flying on the NOAA polar-orbiting satellites, and the newer ATMS instruments flying on the NOAA polar orbiting satellites.

Everyone in the business knows that these are expected to be the sea ice monitoring workhorses of the future, providing a daily global climate monitoring capability for a wide variety of weather and climate variables. The next copy of the ATMS is scheduled to be launched this Friday, November 10 on the first JPSS satellite.




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