Guest essay by Larry Hamlin
In a prior article I had already concluded that none of the 5 major global temperature anomaly measurement systems (UAH, RSS, GISS, HadCRUT5 and NOAA) agreed that July 2021 was the “hottest month ever” as falsely hyped by AP climate alarmist writer Seth Borenstein and as erroneously promoted by climate alarmist “scientists” at NOAA.
This result was particularly significant and embarrassing for NOAA since its global temperature anomaly for July 2021 was reduced in value as a part of its August temperature update posting from their prior “hottest month ever” claim which meant that the July 2021 anomaly was tied with the year 2019 anomaly and clearly not the “hottest month ever” that was so overhyped and scientifically misrepresented by NOAA and the climate alarmist media.
Some comments on the WUWT article noted that the HadCRUT5 measurement system had not yet updated its official data record for July 2021. At the time of prior article HadCRUT5 was two months behind the other 4 global monthly temperature anomaly systems which had already reported monthly anomaly data updates for both July and August 2021.
The HadCRUT5 monthly global temperature anomaly data records for years 2020 and 2021 are shown below.
Each of the HadCRUT5 years 2020 and 2021 data start with January then February, March etc. The 2021 bold type values reflect the latest HadCRUT5 data for July and August 2021 just released today (9/30/2021).
2020 1.069, 1.113, 1.094, 1.063, 0.908, 0.825, 0.816, 0.801, 0.867, 0.811, 1.013, 0.693 Average 0.923
2021 0.701, 0.565, 0.726, 0.760, 0.706, 0.712, 0.793, 0.796
UK Met Office HadCRUT5 updated data for the months of July and August 2021 as expected confirm that the HadCRUT5 highest monthly July anomaly occurred in 2019 at 0.857 C confirming and establishing that NOAA’s prior flawed claim that July 2021 was the “hottest month ever” was nothing but climate alarmist propaganda that is unsupported by all 5 monthly global temperature anomaly system measurements including NOAA.
I eagerly await the climate alarmist media’s articles retracting the “hottest month ever” propaganda debacle.
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Not the clearest graph, but this shows all of the major data sets for the month of July.
Exactly how does this graph support anthropogenic causes over a natural warming cycle? If the Earth is warming NATURALLY, wouldn’t we keep running into the hottest Month ‘X’ ever?
Seeing as how CO2 emissions are climbing at a much higher rate then temperature is increasing, how again do these graphs support the hypothesis of CO2 causing most/all of the warming?
I could care less if it’s the hottest month of ‘X’ ever as long as NATURAL variability explains it.
“Exactly how does this graph support anthropogenic causes over a natural warming cycle? If the Earth is warming NATURALLY, wouldn’t we keep running into the hottest Month ‘X’ ever?”
Excellent question. It warmed this much back in the middle of the Twentieth Century before CO2 was a factor.
The purpose of the graph wasn’t to “support anthropogenic causes”, it was just to illustrate the differences and similarities of different data sets.
“Seeing as how CO2 emissions are climbing at a much higher rate then temperature is increasing…”
What of earth does that even mean? How can you compare the speed of increasing CO2 with temperature? They’re measured in different units.
“…how again do these graphs support the hypothesis of CO2 causing most/all of the warming?”
Well one way to test this might be to compare temperatures with CO2 levels. Here for example is what the log of atmospheric CO2 looks like compared with NOAA data when fitted using a best linear fit.
Would you mind incorporating ERA5 in your analysis in the future? The data can be downloaded here and is already in csv file format so its easy to pull off. And it adds a reanalysis dataset and its wildly different technique to the mix.
Right now I’m trying to figure out how to incorporate RATPAC-A into my workflow. The problem is that it is only provided on a yearly basis which is incompatible with the monthly timeseries my spreadsheet is setup to use.
I got RATPAC included. The composite trend is +0.19 C/decade.
I intend to at some point, though their site doesn’t make it easy to find the simple monthly data. There’s also the annoyance that they seem to change the file name each month.
September is likely the warmest September in the past. 42 years or darn close, will wait for Dr Roy to show the real truth
UAH shows it being the 6th warmest September.
Top ten Septembers in UAH history
I do like how voting turns into a popularity contest rather than being about the content of comments. Joe Bastardi claims September is likely to be the hottest in the past 42 years, result +2 votes. I point out it was only the 6th warmest in the UAH data set, result -4 votes.
Hamlin should be embarrassed. Anomaly measurements do NOT measure temperature.
For example if the January anomaly for Toronto was 2.3C and the anomaly for July was 1.4C, does that make January warmer than July in Toronto?
Maybe there was an icecream truck parked outside NOAA?
https://wattsupwiththat.com/2018/07/06/friday-funny-scottish-record-high-temperature-caused-by-ice-cream-truck/
Love the headline picture!
Finally! jeez.
Let’s just say it’s all hype to feed the converted who attend COP26
Here’s the composite of 7 datasets (2 satellite, 4 traditional, 1 reanalysis) through August 2021. The composite trend is +0.18 C/decade.
It is a wonderful thing that past trends have nothing to do with the future, then.
Otherwise, the seas will boil, and the Earth will melt.
Phew, missed a bullet there!
Yeah, trends don’t go on forever. At least, that’s the lesson of history.
They have yet to
contaminate adjustfix the data properly. Besides in 20 years they will need tocontaminateadjust the data to be cooler to keep thisfairy-talefarcetrend going in the future.No one has ever died from climate change, but someone did die from climate alarmism … https://www.theguardian.com/environment/2019/apr/15/david-buckel-lawyer-climate-change-protest
I like the picture at the top of the lead post! The guy dressed in green is suggesting a whopper while the guy in the background is showing the actual fish! A most fitting illustration of so-called ‘climate science’ and reporting.
Can anyone explain how much of this heat is ”adjusted” from NOAA:s datasets
The old anamolies is getting higher with these sets
” NOAA’s Global Temperature data set (NOAAGlobalTemp version 5), which includes the updated versions of its global land (GHCNm version 4.0.1) and ocean (ERSST version 5) data sets.”
Really? July here was no hotter than normal. Odd.