NO Global Warming, At All, For 20 Years Despite Record CO2 Emissions

UGLY news for climate crusaders!
Officially NO “global warming”, at all, for ~20 years despite record CO2 emissions over the same period!

Ouch.

Watts Up With That?

Global effects of El Niño event seem to have passed, and we’ve cooled to a value just before the event, according to data from the UK Hadley Climate Centre

Earlier we reported on ocean temperatures dropping, now we have confirmation that global air temperature is dropping as well. The latest data is in, and now according to HadCRUT data, we are back to the same level as before the 2014/2016 super El Niño event heated up the planet.

Clive Best writes:


The HadCRUT4.5 temperature anomaly for September calculated by spherical triangulation is 0.54C, a fall of 0.17C since August. Temperatures have seemingly returned to a long trend after the 2016 El Niño.

Monthly temperature anomalies for HadCRUT4.5 (HadSST3 and CRUTEM4.6 stations data) calculated by spherical triangulation method. Click for a larger image


Clive Best uses a custom triangulation method to calculate the global temperature anomaly from the raw…

View original post 389 more words

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3 Comments on “NO Global Warming, At All, For 20 Years Despite Record CO2 Emissions”

  1. Denis Rancourt says:

    The present cooling rate is unprecedented in the history of the planet. Why is that not the story? We should be alarmed. Hahaha.

    Like

  2. Sparks says:

    The HadCRUT data set is is correlated with “CO2” measurements… meaning that both values are kept aligned by using a theory.

    Like

    • Jamie Spry says:

      In that case, if CO2 has stabilised with temps, why the need for Paris and trillions in green schemes and scams to lower emissions? Would appear we’re already saved! Hooray!
      Apart from latest UAH monthly temp anomaly- hadCRUT matches it and RSS closely. I.e. the “pause” or “hiatus” in Warming, past ~20 years lives on despite record CO2 emissions over the same period. Not what the CO2-centric models predicted.

      Like


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