Powerful and wealthy elites, global warming alarmists and climate-doomsday cult'sters' often make statements like..."it is indisputable, global warming is unequivocal"...but here's the problem...that is an exceptionally misleading, anti-science piece of propaganda that should never be tolerated...even NOAA's empirical evidence shows the lie of that type of statement.....
However, if global warming is "unequivocal" from CO2 emissions and other greenhouse gases as claimed, then how is it possible that major components and areas of the world are not warming?
As it turns out, where one actually measures temperature change is a huge factor whether the end result is "global" warming or not.
Simply put, as all climate scientists agree, urban/metro and airport areas are robustly warmer than surrounding areas, during both the daylight and night hours. And, as it turns out, they are warming at multiple times greater rate than rural regions.
They are not warmer because of more CO2 and methane. They are warmer because they have more people, cars, schools, stores, restaurants, planes, trucks, buses, trains, factories, concrete, asphalt, buildings, parking lots and etc.
And because of some very incredibly shortsighted decisions, the majority of climate stations are now located in the urban/airport areas, with most of the rural stations being eliminated. Thus, there now exists a built in bias impacting global warming calculations, which heat-up the actual climate reality.
How big is that bias impact? That's what the adjacent graph helps to reveal.
Take Reagan National Airport in the Washington DC metro. It's warming at an astounding +14.6F degrees per century pace over the last 15 years. Now compare that to a rural area about 170 miles west of DC, in the very northwest part of Maryland. (This portion of the country is called the Allegheny Plateau region a NOAA/NCDC designated climate division). It's cooling at a -3.1°F per century rate.
An 18 degree warming rate difference within a 3-hour journey? CO2 is not responsible for that.
So, why do the U.S. politicos, elites and media believe the world is "unequivocally" warming?
Because they live and work in highly urbanized areas that have the necessary attributes that cause a positive temperature feedback - often referred to as the Urban Heat Island effect (UHI). They are oblivious to the fact most of the world's populace does not live in these concrete-cocoon heat traps and are not experiencing ludicrous warming where the wealthy and powerful congregate.
Again, examine the above chart. Urban/airport warming locations (Reagan Natl, Dulles, Richmond and Baltimore) exhibit fast "global" warming growth. The two highly populated states (Virginia & Maryland) surrounding these urban regions show more moderate warming. And nearby rural areas (the Appalachia Mountain and Allegheny Plateau areas of Maryland) actually have cooled over the last 15 years.
Importantly, the rural areas' temperature cooling are more in line with the entire continental US climate, as shown.
Why does the U.S. exhibit an overall cooling trend for the last 15 years? Obviously, geographically, the U.S. has a much greater abundance of rural areas, similar to the Allegheny Plateau region, than urban/airport complexes. In fact, it is claimed over 90% of the U.S. is considered rural.
Memo to Republicans: For discussions and debates about climate change, use only official weather/climate station thermometer datasets located in rural regions and/or from satellites. Urban/airport thermometers do not measure temperature change from CO2/GHG climate change - they measure temperature change produced by the concrete-cocoon urbanization. Demand that NOAA/NASA/EPA primarily report satellite/rural temperature changes as a leading indicator for potential greenhouse gas influences. Dismiss with contempt those global warming calculations that are quoted which include the hot airport/urban thermometers.
Note: Source for urban and regional 15-year annual temperature datasets. Above Excel chart only shows per century linear trends calculated by Excel, not the annual datapoints. For the chart, adjusted y-axis to better fit all trends on a single viewable image for the article.