Climate Tricks 4: Don't Use Air Temp. Data, Don't Mention the Sun

To continue propagating climate alarmism, end-of-the-world-unless-you-follow-us doomsday scenario, alarmists use several tricks. Here are some of them.

One, not using air and tropospheric temperature data, and using only land surface temperature -- those that are gathered by thermometer stations in airports, weather forecasting agencies' offices, etc. Then cherry-pick those stations that report warming trend while ignore those stations that report flat lining or cooling trends.

Two, not factoring in natural factors that can affect the planet's climate and weather, like the Sun, galactic cosmic rays (GCRs), water vapor and clouds, volcanoes and geological degassing, other natural greenhouse gases (GHGs), the oceans and multi-decadal oscillations. It's all caused by more human CO2 emissions.

Three, trumpeting "ocean acidification", "rising sea level", "extreme storms/typhoons", etc. without showing enough graphs and data, and as if there were no super-strong storms and typhoons in the past.

Four, not taking the global data and satellite pictures of Arctic and Antarctica ice, just take photos of  broken icebergs and show these as "proof" of ever-melting polar ice towards "ice-free Arctic/Antarctica" in the next few years.

There are many other tricks, dozens of them, used by the alarmists to further advance their end goal: more UN and country governments' environmental regulations, carbon and energy taxation, more subsidies to crony power sources, more or expanded climate bureaucracies, more global climate meetings and junkets.

I am posting below four articles and data sets that debunk those four tricks by the alarmists. This is a bit long, so you may get your favorite snacks while reading :-)
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(1) Air and tropospheric temperature

From Dr. Roy Spencer, http://www.drroyspencer.com/

UAH Global Temperature Update for February 2012: -0.12 deg. C

March 2nd, 2012

The global average lower tropospheric temperature anomaly cooled a little more in February, 2012, again not unexpected for the current La Nina conditions in the tropical Pacific Ocean (click on the image for the full-size version):

The 3rd order polynomial fit to the data (courtesy of Excel) is for entertainment purposes only, and should not be construed as having any predictive value whatsoever.

Here are the monthly stats:

YR MON GLOBAL NH SH TROPICS
2011 1 -0.010 -0.055 +0.036 -0.372
2011 2 -0.020 -0.042 +0.002 -0.348
2011 3 -0.101 -0.073 -0.128 -0.342
2011 4 +0.117 +0.195 +0.039 -0.229
2011 5 +0.133 +0.145 +0.121 -0.043
2011 6 +0.315 +0.379 +0.250 +0.233
2011 7 +0.374 +0.344 +0.404 +0.204
2011 8 +0.327 +0.321 +0.332 +0.155
2011 9 +0.289 +0.304 +0.274 +0.178
2011 10 +0.116 +0.169 +0.062 -0.054
2011 11 +0.123 +0.075 +0.170 +0.024
2011 12 +0.126 +0.197 +0.055 +0.041
2012 01 -0.090 -0.057 -0.123 -0.138
2012 02 -0.116 -0.014 -0.217 -0.281