chubbs

The entire climate sensitivity range is the scientific consensus. By excluding most of the likely range, Spencer severely underestimates climate risk. There is low and diminishing technical support for low climate sensitivity. Spencer's views are inconsistent with the temperature rise we have already experienced. Other arguments against low sensitivity include: large and increasing earth energy imbalance and the growing consensus on positive cloud feedback. The scientific consensus is that the long list of CO2/warming debits far outweigh a couple of benefits.

Spencer is a long time critic of the scientific consensus on climate change. Its not that hard to predict the impact of adding greenhouse gases to the atmosphere. We have warmed pretty much as expected, much faster than Spencer acknowledged or expected. The scientific consensus does not describe the warming we have experienced as slow or beneficial. Agree politics is important as is the action of powerful interest groups. Its the reason why most people don't have an accurate picture of what climate science is saying. Don't think Spencer has been helpful in that regard.

A couple of comments: 1) Yes, Roy is a long time climate dismissive 2) His dataset misses much of the warming in the early 2000s, 3) Best to look at the globe as a whole to judge warming, 4) Global UAH is more sensitive to ENSO than surface temperatures.5) Global UAH was very warm for a La Nina in March, the first La Nina well above the linear trend. We've reached the La Nina bottom in UAH. A typical nino spike in UAH from these levels would be hard to dismiss.

Another issue: the shelters 100 years ago were not aspirated. Inadequate or poorly sited shelter ran warm. With his number of days metric easy for one or two sites with bad data to bias the result. We saw that in the Chester county, where spuriously warm data from Phoenixville in the 1930s and 1940s biased the >95F day data, by providing the overwhelming majority of the County 95F+ days in that period. Better to show the data for every station like chart below. That way a few bad apples don't skew the data. Threadx cities plotted below have the longest climate records.

Solar uptake continued to accelerate in Africa in the last month before the energy crisis.

Yes, here's a good example of cherry picking. Do you have any specific technical complaints? I'll be adding other stations; but, why would the results change?. The other stations all have much shorter record lengths. Plus the modern stations are all warming rapidly in complete agreement with the Coatesville and Phoenixville data.

a Here's another perspective on the oiSST data which shows the similarity to 2023. The last data point is March to date.

OK I took an initial stab at consolidating the data using Chester County's 3 long-term COOP stations. My consolidation doesn't look at all like your "analytics". Why? I only use periods without major station moves: 1949-2025 for Coatesville and Phoenixville and 1894-1969 for West Chester. I also use the 1949-1969 overlap period to take out the temperature difference between the 3 stations. While it doesn't look like your "analytics", my consolidation is a good match to the data collected at individual Chester County stations, posted above. That's gives my confidence in this approach and I plan to extend this method to the rest of the data.

Daily oisst has moved into record territory, continuing to track 2023; but 0.1 - 0.2C warmer. It is likely that SST will continue to set daily records until the developing nino fades sometime in 2027.

Reposting some of the charts I posted previously. Your line doesn't look anything like the raw data from individual stations. There is no significant difference in warming between individual Chester County stations and the Philadelphia Airport. Of course cooling station moves should be excluded. That's why the West Chester plot ends in 1969. Per the table below, there are big changes in the Chester County station population that you aren't accounting for. In comparison, the Philadelphia airport heat island is mature and isn't changing much from decade to decade. If heat island is important, why ignore the movement of Chester County stations out of towns after World War II?

I should have been clearer. The chart I posted is the ranking of the number of days over 80, with #1 being the highest. Below is the number of 80+ days on which the ranking is based.

Days hitting 80F, month to date.

Thanks for updating, what I posted must have caught the database at a bad time.

As explained in detail at the link below. Pielke's results have nothing to do with natural disasters. Instead they are an artifact of his analysis method. When the same database is analyzed properly. US disaster costs are increasing as percent of GDP and the number of disasters is increasing. https://www.econstor.eu/bitstream/10419/334359/1/20251026_fix_roger_pielke_jr.pdf

That's what we have seen so far this month, CONUS-wide warmth.