[Vision2020] 6-26-17: Major correction to satellite data shows 140% faster warming since 1998

[Ted Moffett]

It's a Chinese hoax!

Actual article referenced at bottom.
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Vision2020 Post: Ted Moffett
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Yes, Donald Trump did call climate change a Chinese hoax
http://www.politifact.com/truth-o-meter/statements/2016/jun/03/hillary-clinton/yes-donald-trump-did-call-climate-change-chinese-h/
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https://www.carbonbrief.org/major-correction-to-satellite-data-shows-140-faster-warming-since-1998

A new paper <http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-16-0768.1>
published
in the Journal of Climate reveals that the lower part of the Earth’s
atmosphere has warmed much faster since 1979 than scientists relying on
satellite data had previously thought.

Researchers from Remote Sensing Systems <http://www.remss.com/> (RSS),
based in California, have released a substantially revised version of their
lower tropospheric temperature record.

After correcting for problems caused by the decaying orbit of satellites,
as well as other factors, they have produced a new record showing 36%
faster warming since 1979 and nearly 140% faster (i.e. 2.4 times larger)
warming since 1998. This is in comparison to the previous version 3 of the
lower tropospheric temperature (TLT) data published in 2009
<http://images.remss.com/papers/rsspubs/Mears_JTECH_2009_TLT_construction.pdf>
.

Climate sceptics have long claimed
<https://www.washingtonpost.com/news/energy-environment/wp/2016/01/29/ted-cruz-keeps-saying-that-satellites-dont-show-warming-heres-the-problem/?utm_term=.903f114e4c94>
that
satellite data shows global warming to be less pronounced than
observational data collected on the Earth’s surface. This new correction to
the RSS data substantially undermines that argument. The new data actually
shows more warming than has been observed on the surface, though still slightly
less
<https://www.carbonbrief.org/study-why-troposphere-warming-differs-between-models-and-satellite-data>
than
projected in most climate models.
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http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-16-0768.1
A satellite-derived lower tropospheric atmospheric temperature dataset
using an optimized adjustment for diurnal effects
Carl A. Mears <http://journals.ametsoc.org/author/Mears%2C+Carl+A> and Frank
J. Wentz <http://journals.ametsoc.org/author/Wentz%2C+Frank+J>Remote
Sensing Systems, 444 Tenth Street, Santa Rosa, CA, 95401
Abstract

Temperature sounding microwave radiometers flown on polar-orbiting weather
satellites provide a long-term, global-scale record of upper-atmosphere
temperatures, beginning in late 1978 and continuing to the present. The
focus of this paper is a lower-tropospheric temperature product constructed
using measurements made by the Microwave Sounding Unit channel 2, and the
Advanced Microwave Sounding Unit channel 5. The temperature weighting
functions for these channels peak in the mid to upper troposphere. By using
a weighted average of measurements made at different Earth incidence
angles, the effective weighting function can be lowered so that it peaks in
the lower troposphere. Previous versions of this dataset used general
circulation model output to remove the effects of drifting local
measurement time on the measured temperatures. In this paper, we present a
method to optimize these adjustments using information from the satellite
measurements themselves. The new method finds a global-mean land diurnal
cycle that peaks later in the afternoon, leading to improved agreement
between measurements made by co-orbiting satellites. The changes result in
global-scale warming (global trend (70S-80N, 1979-2016) = 0.174 C/decade),
~30% larger than our previous version of the dataset (global trend,
(70S-80N, 1979-2016) = 0.134C/decade). This change is primarily due to the
changes in the adjustment for drifting local measurement time. The new
dataset shows more warming than most similar datasets constructed from
satellites or radiosonde data. However, comparisons with total column water
vapor over the oceans suggest that the new dataset may not show enough
warming in the tropics.
Corresponding Author: Carl A. Mears, Remote Sensing Systems, 444 Tenth
Street, Santa Rosa, CA, 95401 USA (mears at remss.com)
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