What if the climate experts conducted an actual experiment that would prove whether the global warming skeptics were right or wrong about world-wide warming being overstated?Add in that previous statements from NOAA that 0.5° of the 0.6° warming in the lower 48 states over the course of the 20th Century was from adjustments to data, not directly measured, and we have a case that there has been essentially no warming at all over the last century.
Well, NOAA has actually conducted said experiment by building their U.S. Climate Reference Network (USCRN), which precisely, and automatically, measures temperature and weather conditions across the U.S. The USCRN effort is based on the concept that the best way to measure the impact of greenhouse gases on global temperatures is to place state-of-the-art climate stations in pristine rural areas that are little impacted by people, buildings, vehicles, equipment, asphalt and etc.
An example of one of NOAA's pristine climate measurement stations is the top image (Image #1). And the middle image depicts the location of each pristine station - there are currently 114 of them, and clearly they are well dispersed providing good U.S. coverage.
By carefully planning and maintaining these pristine stations and by using the best technology available, this large-scale experiment eliminates the following problems with the older weather measurement network:
So, what has this NOAA experiment found? The bottom image (Image #3) tells that story - when compared to measurements from the old, inaccurate, non-pristine network, temperature "warming" in the U.S. is being overstated anywhere from +0.5°C on average, up to almost +4.0°C (+0.9°F to +7.2°F) in some locations during the summer months.
- There are no observer or transcription errors to correct.
- There is no time of observation bias, nor need for correction of it.
- There is no broad scale missing data, requiring filling in data from potentially bad surrounding stations. (FILNET)
- There are no needs for bias adjustments for equipment types since all equipment is identical.
- There are no need for urbanization adjustments, since all stations are rural and well sited.
- There are no regular sensor errors due to air aspiration and triple redundant lab grade sensors. Any errors detected in one sensor are identified and managed by two others, ensuring quality data.
- Due to the near perfect geospatial distribution of stations in the USA, there isn’t a need for gridding to get a national average temperature.
Is this true? Beats me. But this is another reason to be skeptical about the hysterical predictions of climate catastrophe that we see every day.