Activists and their media allies are Hell-bent to spoil our summertime joy by stirring up climate fear to further their zero carbon agenda.
The calendar turning to June and the official start to summer triggers the usual alarms that this year will surely be the hottest ever. Headlines recently:
♦ Is 2023 going to be the hottest year on record? World Economic Forum
♦ Why 2023 is shaping up to be the hottest year on record New Scientist
♦ Global temperatures in 2023 set to be among hottest on record The Guardian
♦ 2023 will be ‘one of the hottest on record’ says Met Office BBC
And of course you can count on NYT to totally jump the shark:
♦ The Last 8 Years Were the Hottest on Record – The New York Times
In the past few years, the earth cooled after warming from the 2015-2016 El Nino, and with higher North Atlantic summer anomalies repeating in 2020. The cooling was significant as shown in the chart below (from the UAH satellite temperature dataset.)
The Global anomaly dropped from +0.7C January 2016 to <0.0C January 2023. And of course the media ignored that cooling since they are addicted to the global warming narrative: temperatures can only go up, since CO2 keeps rising. On the contrary, the chart shows CO2 did rise steadily, while temps fluctuated up and down, ending this period of 27 years flat.
Curiously, a lot of us have so far seen unseasonably cool temperatures this year, and wonder where this hottest year could be? I mean, 60 cm of snow one June day in Jasper Park Alberta? Suspecting that we have again a weather/climate perception that exists everywhere elsewhere, I turned to NOAA’s Climate at a Glance website to see what their data shows.
Climate reporting is confusing because the scope of temperature averaging gives very different impressions, and at the mega scale rarely corresponds to anyone’s particular experience. So generalizations are claimed extrapolating from statistics, contradicted by many persons’ direct experience.
NOAA State of the Climate is another site advocating for the IPCC agenda and illustrates how this works. First the Global Climate Report:
So there is the #1 hottest month out of 174 years–warmest Land, Ocean and combined Global. Now let’s look at the year to date (YTD):
Whoops, that’s not as scary; the first half of 2023 is not #1. Rather, the ocean is #2, Land #5, and the Global start to the year is #3. And the table shows that 2016 was the hottest, consistent with the UAH graph above. We start to see how media reports are speculating and hoping for this to be the hottest year, despite the first half of the year.
And to understand why most people will be put off by hottest year claims, we go to the Regional Analysis in order to see what the year has been like in various continents (land by definition).
It becomes obvious that no matter where I live, don’t tell me this is the hottest year ever. OK some Africans and Europeans may agree, but those in Oceania (mostly Australians) will boo you out of the room.
Note: NOAA climatology data
The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly analysis of SST data derived from the International Comprehensive Ocean–Atmosphere Dataset (ICOADS). The dataset can be used for long-term global and basin-wide studies and incorporates smoothed local and short-term variations.
The Global Historical Climatology Network monthly (GHCNm) dataset provides monthly climate summaries from thousands of weather stations around the world. The initial version was developed in the early 1990s, and subsequent iterations were released in 1997, 2011, and most recently in 2018. The period of record for each summary varies by station, with the earliest observations dating to the 18th century. Some station records are purely historical and are no longer updated, but many others are still operational and provide short time delay updates that are useful for climate monitoring. The current version (GHCNm v4) consists of mean monthly temperature data, as well as a beta release of monthly precipitation data. [Reported station data are subject to adjustments by way of a procedure, known as the Pairwise Homogenization Algorithm (PHA)]
In addition, a previous post gives directions and links for anyone to get the unbiased climate history where they live, including the example of my locale. See June 2023 the Hottest Ever? Not So Fast!
Footnote: Everyone has an agenda and packages data in support of their POV. Those who joined the anti-hydrocarbon crusade are bound to find and amplify any bit of global warming they can find. My agenda is for people to consider the full amount of relevant data and facts, and to reason accordingly rather than go along with the crowd or their feelings. My approach is best expressed in this essay:
The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots. It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition. Yes there is warming from an El Nino buildup but no basis to blame it on CO2.
As an overview consider how recent rapid cooling completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016). The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022 Now at year end 2022 and continuing into 2023 global temp anomaly is matching or lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020).
For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa. While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.
Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.
The animation is an update of a previous analysis from Dr. Murry Salby. These graphs use Hadcrut4 and include the 2016 El Nino warming event. The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4. This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C. Previously the 1997-98 El Nino produced a plateau increase of 0.4C. Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.
Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate. On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles.
Update August 3, 2021
Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT
June 2023 Update Little Warming Added After May El Nino Spike
With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea. While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in. The UAH data analyzed below shows that warming from the last El Nino Had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995. Now in March to May EL Nino appears in a Tropical ocean Spike.
UAH has updated their tlt (temperatures in lower troposphere) dataset for June 2023. Posts on their reading of ocean air temps this month preceded updated records from HadSST4. I last posted on SSTs using HadSST4 El Nino Ocean Warming Abates May 2023. This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years. Sometimes air temps over land diverge from ocean air changes. For example in February, Tropical ocean temps alone moved upward, while temps in all land regions rebounded after hitting bottom.
In June, as shown later on, Global ocean air cooled led by dropping SH temps, despite continued warming in the Tropics and NH. OTOH Global land air temps rose in both NH and SH with Tropical land little changed. Thus the land + ocean Global UAH temperature record remained the same.
Note: UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.
Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system. Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy. Measuring water temperature directly avoids distorted impressions from air measurements. In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates. Eventually we will likely have reliable means of recording water temperatures at depth.
Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST. Thus the cooling oceans now portend cooling land air temperatures to follow. He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months. This latter point is addressed in a previous post Who to Blame for Rising CO2?
After a change in priorities, updates are now exclusive to HadSST4. For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for June. The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.
The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI). The graph below shows monthly anomalies for ocean air temps since January 2015.
Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October. That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June. After an upward spike in July, ocean air everywhere cooled in August and also in September.
After sharp cooling everywhere in January 2023, all regions were into negative territory. Note the Tropics matched the lowest, but since have spiked sharply upward +0.9C, with the largest increase in May and June 2023. NH also warmed, but SH ocean air was cooler by 0.23C, resulting in Global Ocean air cooling slightly. Mid-year 2023 looks similar to both 2021 and 2022, which also had summer peaks followed by cooling. The strength of the El Nino will determine the latter half of this year.
Land Air Temperatures Tracking Downward in Seesaw Pattern
We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly. The land temperature records at surface stations sample air temps at 2 meters above ground. UAH gives tlt anomalies for air over land separately from ocean air temps. The graph updated for June is below.
Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land. Land temps are dominated by NH with a 2021 spike in January, then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere. After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH.
Remarkably, in 2023, SH land air anomaly shot up 1.2C, from -0.56C in January to +0.67 in April. Now in June, rising SH and NH Land air temps rose, pulling up the Global land anomaly by 0.13C.
The Bigger Picture UAH Global Since 1980
The chart shows monthly Global anomalies starting 01/1980 to present. The average monthly anomaly is -0.06, for this period of more than four decades. The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20. An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022. March and April brought warmer Global temps, later reversed, and with the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Now in 2023 the May and June peak matches the two previous Julys. Where it goes from here, up or down, remains to be seen.
TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps. Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak. Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force. TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. It seems obvious that despite the three El Ninos, their warming has not persisted, and without them it would probably have cooled since 1995. Of course, the future has not yet been written.
Previous posts addressed the claim that fossil fuels are driving global warming. This post updates that analysis with the latest (2022) numbers from Energy Institute and compares World Fossil Fuel Consumption (WFFC) with three estimates of Global Mean Temperature (GMT). More on both these variables below. Note: Previously these same statistics were hosted by BP.
WFFC
2022 statistics are now available from Energy Institute for international consumption of Primary Energy sources. Statistical Review of World Energy.
The reporting categories are:
Oil
Natural Gas
Coal
Nuclear
Hydro
Renewables (other than hydro)
Note: Energy Institute began last year to use Exajoules to replace MToe (Million Tonnes of oil equivalents.) It is logical to use an energy metric which is independent of the fuel source. OTOH renewable advocates have no doubt pressured EI to stop using oil as the baseline since their dream is a world without fossil fuel energy.
From BP conversion table 1 exajoule (EJ) = 1 quintillion joules (1 x 10^18). Oil products vary from 41.6 to 49.4 tonnes per gigajoule (10^9 joules). Comparing this annual report with previous years shows that global Primary Energy (PE) in MToe is roughly 24 times the same amount in Exajoules. The conversion factor at the macro level varies from year to year depending on the fuel mix. The graphs below use the new metric.
This analysis combines the first three, Oil, Gas, and Coal for total fossil fuel consumption world wide (WFFC). The chart below shows the patterns for WFFC compared to world consumption of Primary Energy from 1965 through 2022.
The graph shows that global Primary Energy (PE) consumption from all sources has grown continuously over nearly 6 decades. Since 1965 oil, gas and coal (FF, sometimes termed “Thermal”) averaged 88% of PE consumed, ranging from 93% in 1965 to 82% in 2022. Note that in 2020, PE dropped 21 EJ (4%) below 2019 consumption, then increased 31 EJ in 2021. WFFC for 2020 dropped 24 EJ (5%), then in 2021 gained back 26 EJ to slightly exceed 2019 WFFC consumption. For the 58 year period, the net changes were:
Oil
194%
Gas
525%
Coal
178%
WFFC
239%
PE
287%
Global Mean Temperatures
Everyone acknowledges that GMT is a fiction since temperature is an intrinsic property of objects, and varies dramatically over time and over the surface of the earth. No place on earth determines “average” temperature for the globe. Yet for the purpose of detecting change in temperature, major climate data sets estimate GMT and report anomalies from it.
UAH record consists of satellite era global temperature estimates for the lower troposphere, a layer of air from 0 to 4km above the surface. HadSST estimates sea surface temperatures from oceans covering 71% of the planet. HadCRUT combines HadSST estimates with records from land stations whose elevations range up to 6km above sea level.
Both GISS LOTI (land and ocean) and HadCRUT4 (land and ocean) use 14.0 Celsius as the climate normal, so I will add that number back into the anomalies. This is done not claiming any validity other than to achieve a reasonable measure of magnitude regarding the observed fluctuations.[Note: HadCRUT4 was discontinued after 2021 in favor of HadCRUT5.]
No doubt global sea surface temperatures are typically higher than 14C, more like 17 or 18C, and of course warmer in the tropics and colder at higher latitudes. Likewise, the lapse rate in the atmosphere means that air temperatures both from satellites and elevated land stations will range colder than 14C. Still, that climate normal is a generally accepted indicator of GMT.
Correlations of GMT and WFFC
The next graph compares WFFC to GMT estimates over the decades from 1965 to 2022 from HadCRUT4, which includes HadSST4.
Since 1965 the increase in fossil fuel consumption is dramatic and monotonic, steadily increasing by 239% from 146 to 494 exajoules. Meanwhile the GMT record from Hadcrut shows multiple ups and downs with an accumulated rise of 0.8C over 56 years, 6% of the starting value.
The graph below compares WFFC to GMT estimates from UAH6, and HadSST4 for the satellite era from 1980 to 2022, a period of 43 years.
In the satellite era WFFC has increased at a compounded rate of nearly 2% per year, for a total increase of 92% since 1979. At the same time, SST warming amounted to 0.53C, or 3.7% of the starting value. UAH warming was 0.52C, or 3.8% up from 1979. The temperature compounded rate of change is 0.1% per year, an order of magnitude less than WFFC. Even more obvious is the 1998 El Nino peak and flat GMT since.
Summary
The climate alarmist/activist claim is straight forward: Burning fossil fuels makes measured temperatures warmer. The Paris Accord further asserts that by reducing human use of fossil fuels, further warming can be prevented. Those claims do not bear up under scrutiny.
It is enough for simple minds to see that two time series are both rising and to think that one must be causing the other. But both scientific and legal methods assert causation only when the two variables are both strongly and consistently aligned. The above shows a weak and inconsistent linkage between WFFC and GMT.
Going further back in history shows even weaker correlation between fossil fuels consumption and global temperature estimates:
Figure 5.1. Comparative dynamics of the World Fuel Consumption (WFC) and Global Surface Air Temperature Anomaly (ΔT), 1861-2000. The thin dashed line represents annual ΔT, the bold line—its 13-year smoothing, and the line constructed from rectangles—WFC (in millions of tons of nominal fuel) (Klyashtorin and Lyubushin, 2003). Source: Frolov et al. 2009
In legal terms, as long as there is another equally or more likely explanation for the set of facts, the claimed causation is unproven. The more likely explanation is that global temperatures vary due to oceanic and solar cycles. The proof is clearly and thoroughly set forward in the post Quantifying Natural Climate Change.
Footnote: CO2 Concentrations Compared to WFFC
Contrary to claims that rising atmospheric CO2 consists of fossil fuel emissions, consider the Mauna Loa CO2 observations in recent years.
Despite the drop in 2020 WFFC, atmospheric CO2 continued to rise steadily, demonstrating that natural sources and sinks drive the amount of CO2 in the air.
In the past few years, the earth cooled after warming from the 2015-2016 El Nino, and with higher North Atlantic summer anomalies repeating in 2020. The cooling was significant as shown in the chart below (from the UAH satellite temperature dataset.)
The Global anomaly dropped from +0.7C January 2016 to <0.0C January 2023. And of course the media ignored that cooling since they are addicted to the global warming narrative: temperatures can only go up, since CO2 keeps rising. On the contrary, the chart shows CO2 did rise steadily, while temps fluctuated up and down, ending this period of 27 years flat.
The calendar turning to June and the official start to summer triggers the usual alarms that this year will surely be the hottest ever. Headlines recently:
♦ Is 2023 going to be the hottest year on record? World Economic Forum
♦ Why 2023 is shaping up to be the hottest year on record New Scientist
♦ Global temperatures in 2023 set to be among hottest on record The Guardian
♦ 2023 will be ‘one of the hottest on record’ says Met Office BBC
And of course you can count on NYT to totally jump the shark:
♦ The Last 8 Years Were the Hottest on Record – The New York Times
Curiously, a lot of us have so far seen unseasonably cool temperatures this year, and wonder where this hottest year could be? I mean, 60 cm of snow yesterday in Jasper Park Alberta? Suspecting that we have again a weather/climate perception that exists everywhere elsewhere, I turned to NOAA’s Climate at a Glance website to see what their data shows.
Climate reporting is confusing because the scope of temperature averaging gives very different impressions, and at the mega scale rarely corresponds to anyone’s particular experience. So generalizations are claimed extrapolating from statistics, contradicted by many persons’ direct experience.
NOAA State of the Climate is another site advocating for the IPCC agenda and illustrates how this works. First the Global Climate Report:
So there is the #1 warmest Ocean, but we now can see the Land was 8th and combined Global is 3rd, not 1st. Now let’s look at the year to date (YTD):
Oh oh, that’s not as scary; the first 5/12ths of 2023 are not #1, but the ocean is #3, Land #6, and the Global start to the year is #4. And the table shows that 2016 was the hottest, consistent with the UAH graph above.
And to understand why most people will be put off by hottest year claims, we go to the Regional Analysis in order to see what the year has been like in various continents (land by definition).
It becomes obvious that no matter where I live, don’t tell me this is the hottest year ever. OK some Africans and Europeans may agree, but those in Oceania (mostly Australians) will boo you out of the room.
Footnote: Everyone has an agenda and packages data in support of their POV. Those who joined the anti-hydrocarbon crusade are bound to find and amplify any bit of global warming they can find. My agenda is for people to consider the full amount of relevant data and facts, and to reason accordingly rather than go along with the crowd or their feelings. My approach is best expressed in this essay:
The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots. It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition. Yes there is warming from an El Nino buildup but no basis to blame it on CO2.
As an overview consider how recent rapid cooling completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016). The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022 Now at year end 2022 and continuing into 2023 global temp anomaly is matching or lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020).
For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa. While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.
Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.
The animation is an update of a previous analysis from Dr. Murry Salby. These graphs use Hadcrut4 and include the 2016 El Nino warming event. The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4. This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C. Previously the 1997-98 El Nino produced a plateau increase of 0.4C. Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.
Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate. On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles.
Update August 3, 2021
Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT
With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea. While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in. The UAH data analyzed below shows that warming from the last El Nino Had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995. Now in March to May EL Nino appears in a Tropical ocean Spike.
UAH has updated their tlt (temperatures in lower troposphere) dataset for May 2023. Posts on their reading of ocean air temps this month preceded updated records from HadSST4. I last posted on SSTs using HadSST4 El Nino Comes to Save Global Warming April 2023. This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years. Sometimes air temps over land diverge from ocean air changes. For example in February, Tropical ocean temps alone moved upward, while temps in all land regions rebounded after hitting bottom. In May, as shown later on, ocean air everywhere warmed, led by a Tropics spike, while land air temps also rose sharply, despite cooling in SH. Thus a Global uptick in UAH temperature record.
Note: UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.
Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system. Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy. Measuring water temperature directly avoids distorted impressions from air measurements. In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates. Eventually we will likely have reliable means of recording water temperatures at depth.
Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST. Thus the cooling oceans now portend cooling land air temperatures to follow. He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months. This latter point is addressed in a previous post Who to Blame for Rising CO2?
After a change in priorities, updates are now exclusive to HadSST4. For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for May. The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.
The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI). The graph below shows monthly anomalies for ocean air temps since January 2015.
Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October. That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June. After an upward spike in July, ocean air everywhere cooled in August and also in September.
After sharp cooling everywhere in January 2023, all regions were into negative territory. Note the Tropics matched the lowest, followed since by spiking upward +0.7C, with the largest increase in May 2023. Warming in both NH and SH added to a higher Global temp. The SSTs are comparable to May 2015 and May 2017, with another peak like 2016 possible.
Land Air Temperatures Tracking Downward in Seesaw Pattern
We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly. The land temperature records at surface stations sample air temps at 2 meters above ground. UAH gives tlt anomalies for air over land separately from ocean air temps. The graph updated for May is below.
Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land. Land temps are dominated by NH with a 2021 spike in January, then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere. After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH.
Remarkably, in 2023, SH land air anomaly shot up 1.2C, from -0.56C in January to +0.67 in April. Now in May, rising Tropical and NH Land air temps rose, pulling up the Global land anomaly, despite a drop in SH land temps.
The Bigger Picture UAH Global Since 1980
The chart shows monthly Global anomalies starting 01/1980 to present. The average monthly anomaly is -0.06, for this period of more than four decades. The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20. An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022. March and April brought warmer Global temps, later reversed, and with the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Now in 2023 the May peak matches the two previous Julys. Where it goes from here, up or down, remains to be seen.
TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps. Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak. Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force. TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. It seems obvious that despite the three El Ninos, their warming has not persisted, and without them it would probably have cooled since 1995. Of course, the future has not yet been written.
The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots. It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.
As an overview consider how recent rapid cooling completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016). The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022 Now at year end 2022 and continuing into 2023 global temp anomaly is matching or lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020).
For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa. While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.
Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.
The animation is an update of a previous analysis from Dr. Murry Salby. These graphs use Hadcrut4 and include the 2016 El Nino warming event. The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4. This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C. Previously the 1997-98 El Nino produced a plateau increase of 0.4C. Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.
Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate. On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles.
Update August 3, 2021
Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT
April 2023 Update Land and Sea Temps Little Changed
With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea. While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in. The UAH data analyzed below shows that warming from the last El Nino was fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.
UAH has updated their tlt (temperatures in lower troposphere) dataset for April 2023. Posts on their reading of ocean air temps this month came later the same day as updated records from HadSST4. I just posted on SSTs using HadSST4 El Nino Comes to Save Global Warming April 2023. This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years. Sometimes air temps over land diverge from ocean air changes. For example in February, Tropical ocean temps alone moved upward, while temps in all land regions rebounded after hitting bottom. In April, as shown later on, ocean air warmed slightly, while NH land air cooled sharply, leaving the overall Global anomally little changed.
Note: UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.
Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system. Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy. Measuring water temperature directly avoids distorted impressions from air measurements. In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates. Eventually we will likely have reliable means of recording water temperatures at depth.
Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST. Thus the cooling oceans now portend cooling land air temperatures to follow. He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months. This latter point is addressed in a previous post Who to Blame for Rising CO2?
After a change in priorities, updates are now exclusive to HadSST4. For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for March. The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.
The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI). The graph below shows monthly anomalies for ocean air temps since January 2015.
Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October. That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June. After an upward spike in July, ocean air everywhere cooled in August and also in September. After sharp cooling everywhere in January 2023, all regions were into negative territory. Now in February, March and April, a sharp rise in the Tropics with upticks elsewhere led to a rise globally slightly above zero. Unusually April SH, NH and Global anomalies were all the same 0.17C.
Land Air Temperatures Tracking Downward in Seesaw Pattern
We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly. The land temperature records at surface stations sample air temps at 2 meters above ground. UAH gives tlt anomalies for air over land separately from ocean air temps. The graph updated for April is below.
Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land. Land temps are dominated by NH with a 2021 spike in January, then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere. After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH.
Remarkably, in 2023, SH land air anomaly shot up 1.2C, from -0.56C in January to +0.67 in April. Land air in the Tropics also rose, but NH land air dropped from +0.48C down to 0C. Due to NH having twice the land surface as SH, the Global land anomaly was pulled down.
The Bigger Picture UAH Global Since 1980
The chart shows monthly Global anomalies starting 01/1980 to present. The average monthly anomaly is -0.06, for this period of more than four decades. The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20. An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022. March and April brought warmer Global temps, later reversed, and with the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Now in 2023 February-April there is a slight rebound over zero.
TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps. Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak. Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force. TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. It seems obvious that despite the three El Ninos, their warming has not persisted, and without them it would probably have cooled since 1995. Of course, the future has not yet been written.
Jørgen Peder Steffensen, of Denmark’s Niels Bohr Institute, is one of the most experienced experts in ice core analysis, in both Greenland and Antarctica. In this video he explains a coincidence that has misled those alarmed about the warming recovery since the Little Ice Age. And if you skip to 2:25, you will see the huge error we have made and the assumptions and extrapolations based on that error. Transcript below is from closed captions with my bolds and added images. H/T Raymond
What do ice cores tell us about the history of climate change and the present trend?
This ice is from the Viking age around the year one thousand, also called the medieval warm period. We believe that in Greenland the Medieval Warm Period was about one and a half degrees warmer on average than today
NorthGRIP the Greenland ice core project is being reopened to drill the last few meters through the ice sheet to the rock beneath the research station. The ice core over three kilometers in length has been hauled up to the surface piece by piece, and contains important data on the history of the climate of the earth. It bears the fingerprints of climatic conditions over more than 120 thousand years.
When we remove a drilled ice core we leave a hole, and we insert a thermometer in the hole. We are able to map out the temperature through the three kilometer ice sheet. Now that temperature, if we do it precisely enough with a thousandth of a degree accuracy, then the ice has not forgotten how cold or warm it was on the surface at the time the snow fell.
So using those temperatures we have been able to reconstruct the temperatures of the last ten thousand years. Here we have our picture of the temperature reconstructions that we have from Greenland in the graphical form. And if we go back along this axis it’s going back in time. This is the last 8 000 years we have plotted here. On this axis we have the temperatures at the site in Greenland, and we can see that if we go back from now about 4000 years ago, we would have temperatures up here for about 4 000 years in the past that on average were two and a half degrees warmer than today.
Reconstructed temperatures for Greenland ice cores Dye3 and GRIP. (A) The temperature from 8000 BP to present; (B) the temperature from AD 0-2000 (after Dahl-Jensen et al., 1998). The observed difference in amplitude between the two cores is a result of their different geographic location in relation to the variability in atmospheric circulation. Source: Reconstructed-temperatures-for-Greenland-ice-cores-Dye3-and-GRIP-A
Now as we go forward to approach our time, we can see that in the period after four thousand years ago and up to the two thousand years ago (which is actually the Roman Age) the temperatures have been decreasing in Greenland by two and a half degrees. Then temperatures increased gradually up to a maximum point around a thousand years ago, we call it the Medieval Warm Period. And then temperatures declined and go down to minimum around 1650 a.d., before coming back up a little in the 18th century.
And then around 1875 we have right here the lowest point in the last 10,000 years.
And that matches exactly the time when meteorological observations started.
Other core samples from elsewhere in Greenland confirmed that the little ice age ended about 140 years ago at the coldest point in the last 10,000 years. The natural pronounced alteration of warm and cold periods back in time has also been confirmed elsewhere in the northern hemisphere. Carbon 14 dating of organic matter from peat bogs and tree rings confirms the pattern. Also the data from stalactite caves in China and measurements from North Africa.
The problem is that we can all agree completely that we have had a global temperature increase in the 20th century. Yes, but an increase from what? It was probably an increase from the lowest point we’ve had for the last 10,000 years. And this means it will be very hard indeed to prove whether the increase of temperature in the 20th century was man-made or it’s a natural variation. That would be very hard because we made ourselves an extremely poor experiment when we started to observe meteorology at the coldest time in the last ten thousand years.
Dr. Syun Akasofu 2009 diagram from his paper Two Natural Components of Recent Warming.
Figure 1. Graph showing the number of volcanoes reported to have been active each year since 1800 CE. Total number of volcanoes with reported eruptions per year (thin upper black line) and 10-year running mean of same data (thick upper red line). Lower lines show only the annual number of volcanoes producing large eruptions (>= 0.1 km3 of tephra or magma) and scale is enlarged on the right axis; thick red lower line again shows 10-year running mean. Global Volcanism Project Discussion
Update April 28, 2023
I am prompted by a discussion at WUWT regarding the role of SO2 in causing climate variabiity. There are some voices claiming that reduced SO2 from smaller vocanic activity in the Middle Ages caused warming, leading to droughts, crop failures, etc. And that we could be causing global warming by removing SO2 from the air in modern times. As the research cited below explains, there is a likely role for volcanic SO2 to cause global cooling, which resulted in the crop failures and the “dark ages”.
In discussion with Kip Hansen, it occurred to me that the process and equation could be explained by the steady recovery from the LIA (Little Ice Age). That reminded me of this relevant discussion about the causes of the LIA, what ended it, and why the warming recovery from it may now be over.
Volcanoes and the Little Ice Age
University of Bern confirms in a recent announcement that volcanoes triggered the depths of the LIA (Little Ice Age). Their article is Volcanoes shaped the climate before humankind. H/T GWPF. However, they spin the story in support of climate alarm (emergency, whatever), rather than making the more obvious point that recent warming was recovering to roughly Medieval Warming levels after the abnormal cooling disruption from volcanoes. Excerpt in italics with my bolds.
“The new Bern study not only explains the global early 19th century climate, but it is also relevant for the present. “Given the large climatic changes seen in the early 19th century, it is difficult to define a pre-industrial climate,” explains lead author Stefan Brönnimann, “a notion to which all our climate targets refer.” And this has consequences for the climate targets set by policymakers, who want to limit global temperature increases to between 1.5 and 2 degrees Celsius at the most. Depending on the reference period, the climate has already warmed up much more significantly than assumed in climate discussions. The reason: Today’s climate is usually compared with a 1850-1900 reference period to quantify current warming. Seen in this light, the average global temperature has increased by 1 degree. “1850 to 1900 is certainly a good choice but compared to the first half of the 19th century, when it was significantly cooler due to frequent volcanic eruptions, the temperature increase is already around 1.2 degrees,” Stefan Brönnimann points out.”
Bern seems preoccupied with targets and accounting, while others are concerned to understand the role of volcanoes in natural climate change. A previous post gives a more detailed explanation, thanks to a suggestion I received.
The LIA Warming Rebound Is Over
Thanks to Dr. Francis Manns for drawing my attention to the role of Volcanoes as a climate factor, particularly related to the onset of the Little Ice Age (LIA), 1400 to 1900 AD. I was aware that the temperature record since about 1850 can be explained by a steady rise of 0.5C per century rebound overlaid with a quasi-60 year cycle, most likely oceanic driven. See below Dr. Syun Akasofu 2009 diagram from his paper Two Natural Components of Recent Warming. When I presented this diagram to my warmist friends, they would respond, “But you don’t know what caused the LIA or what ended it!” To which I would say, “True, but we know it wasn’t due to burning fossil fuels.” Now I find there is a body of evidence suggesting what caused the LIA and why the temperature rebound may be over. Part of it is a familiar observation that the LIA coincided with a period when the sun was lacking sunspots, the Maunder Minimum, and later the Dalton.
Not to be overlooked is the climatic role of volcano activity inducing deep cooling patterns such as the LIA. Jihong Cole-Dai explains in a paper published 2010 entitled Volcanoes and climate. Excerpt in italics with my bolds.
There has been strong interest in the role of volcanism during the climatic episodes of Medieval Warm Period (MWP,800–1200 AD) and Little Ice Age (LIA, 1400–1900AD), when direct human influence on the climate was negligible. Several studies attempted to determine the influence of solar forcing and volcanic forcing and came to different conclusions: Crowley and colleagues suggested that increased frequency of stratospheric eruptions in the seventeenth century and again in the early nineteenth century was responsible in large part for LIA. Shindell et al. concluded that LIA is the result of reduced solar irradiance, as seen in the Maunder Minimum of sunspots, during the time period. Ice core records show that the number of large volcanic eruptions between 800 and 1100 AD is possibly small (Figure 1), when compared with the eruption frequency during LIA. Several researchers have proposed that more frequent large eruptions during the thirteenth century(Figure 1) contributed to the climatic transition from MWP to LIA, perhaps as a part of the global shift from a warmer to a colder climate regime. This suggests that the volcanic impact may be particularly significant during periods of climatic transitions.
Weighted annual average concentration of volcanic sulfate for the period of 176–2005 AD in a South Pole, Antarctica ice core (Cole-Dai, manuscript in preparation).
How volcanoes impact on the atmosphere and climate
The major component of volcanic eruptions is the matter that emerges as solid, lithic material or solidifies into large particles, which are referred to as ash or tephra. These particles fall out of the atmosphere very rapidly, on timescales of minutes to a few days, and thus have no climatic impacts but are of great interest to volcanologists, as seen in the rest of this encyclopedia. When an eruption column still laden with these hot particles descends down the slopes of a volcano, this pyroclastic flow can be deadly to those unlucky enough to be at the base of the volcano. The destruction of Pompeii and Herculaneum after the AD 79 Vesuvius eruption is the most famous example.
Volcanic eruptions typically also emit gases, with H2O, N2, and CO2 being the most abundant. Over the lifetime of the Earth, these gases have been the main source of the Earth’s atmosphere and ocean after the primitive atmosphere of hydrogen and helium was lost to space. The water has condensed into the oceans, the CO2 has been changed by plants into O2 or formed carbonates, which sink to the ocean bottom, and some of the C has turned into fossil fuels. Of course, we eat plants and animals, which eat the plants, we drink the water, and we breathe the oxygen, so each of us is made of volcanic emissions. The atmosphere is now mainly composed of N2 (78%) and O2 (21%), both of which had sources in volcanic emissions.
Of these abundant gases, both H2O and CO2 are important greenhouse gases, but their atmospheric concentrations are so large (even for CO2 at only 400 ppm in 2013) that individual eruptions have a negligible effect on their concentrations and do not directly impact the greenhouse effect. Global annually averaged emissions of CO2 from volcanic eruptions since 1750 have been at least 100 times smaller than those from human activities. Rather the most important climatic effect of explosive volcanic eruptions is through their emission of sulfur species to the stratosphere, mainly in the form of SO2, but possibly sometimes as H2S. These sulfur species react with H2O to form H2SO4 on a timescale of weeks, and the resulting sulfate aerosols produce the dominant radiative effect from volcanic eruptions.
The major effect of a volcanic eruption on the climate system is the effect of the stratospheric cloud on solar radiation (Figure 53.1). Some of the radiation is scattered back to space, increasing the planetary albedo and cooling the Earth’s atmosphere system. The sulfate aerosol particles (typical effective radius of 0.5 mm, about the same size as the wavelength of visible light) also forward scatter much of the solar radiation, reducing the direct solar beam but increasing the brightness of the sky. After the 1991 Pinatubo eruption, the sky around the sun appeared more white than blue because of this. After the El Chicho´n eruption of 1982 and the Pinatubo eruption of 1991, the direct radiation was significantly reduced, but the diffuse radiation was enhanced by almost as much. Nevertheless, the volcanic aerosol clouds reduced the total radiation received at the surface.
Although solar variability has often been considered the primary agent for LIA cooling, the most comprehensive test of this explanation (Hegerl et al., 2003) points instead to volcanism being substantially more important, explaining as much as 40% of the decadal-scale variance during the LIA. Yet, one problem that has continually plagued climate researchers is that the paleo-volcanic record, reconstructed from Antarctic and Greenland ice cores, cannot be well calibrated against the instrumental record. This is because the primary instrumental volcano reconstruction used by the climate community is that of Sato et al. (1993), which is relatively poorly constrained by observations prior to 1960 (especially in the southern hemisphere).
Here, we report on a new study that has successfully calibrated the Antarctic sulfate record of volcanism from the 1991 eruptions of Pinatubo (Philippines) and Hudson (Chile) against satellite aerosol optical depth (AOD) data (AOD is a measure of stratospheric transparency to incoming solar radiation). A total of 22 cores yield an area-weighted sulfate accumulation rate of 10.5 kg/km2 , which translates into a conversion rate for AOD of 0.011 AOD/ kg/km2 sulfate. We validated our time series by comparing a canonical growth and decay curve for eruptions for Krakatau (1883), the 1902 Caribbean eruptions (primarily Santa Maria), and the 1912 eruption of Novarupta/Katmai (Alaska)
We therefore applied the methodology to part of the LIA record that had some of the largest temperature changes over the last millennium.
Figure 2: Comparison of 30-90°N version of ice core reconstruction with Jones et al. (1998) temperature reconstruction over the interval 1630-1850. Vertical dashed lines denote levels of coincidence between eruptions and reconstructed cooling. AOD = Aerosol Optical Depth.
The ice core chronology of volcanoes is completely independent of the (primarily) tree ring based temperature reconstruction. The volcano reconstruction is deemed accurate to within 0 ± 1 years over this interval. There is a striking agreement between 16 eruptions and cooling events over the interval 1630-1850. Of particular note is the very large cooling in 1641-1642, due to the concatenation of sulfate plumes from two eruptions (one in Japan and one in the Philippines), and a string of eruptions starting in 1667 and culminating in a large tropical eruption in 1694 (tentatively attributed to Long Island, off New Guinea). This large tropical eruption (inferred from ice core sulfate peaks in both hemispheres) occurred almost exactly at the beginning of the coldest phase of the LIA in Europe and represents a strong argument against the implicit link of Late Maunder Minimum (1640-1710) cooling to solar irradiance changes.
Figure 1: Comparison of new ice core reconstruction with various instrumental-based reconstructions of stratospheric aerosol forcing. The asterisks refer to some modification to the instrumental data; for Sato et al. (1993) and the Lunar AOD, the asterisk refers to the background AOD being removed for the last 40 years. For Stothers (1996), it refers to the fact that instrumental observations for Krakatau (1883) and the 1902 Caribbean eruptions were only for the northern hemisphere. To obtain a global AOD for these estimates we used Stothers (1996) data for the northern hemisphere and our data for the southern hemisphere. The reconstruction for Agung eruption (1963) employed Stothers (1996) results from 90°N-30°S and the Antarctic ice core data for 30-90°S.
During the 18th century lull in eruptions, temperatures recovered somewhat but then cooled early in the 19th century. The sequence begins with a newly postulated unknown tropical eruption in midlate 1804, which deposited sulfate in both Greenland and Antarctica. Then, there are four well-documented eruptions—an unknown tropical eruption in 1809, Tambora (1815) and a second doublet tentatively attributed in part to Babuyan (Philippines) in 1831 and Cosiguina (Nicaragua) in 1835. These closely spaced eruptions are not only large but have a temporally extended effect on climate, due to the fact that they reoccur within the 10-year recovery timescale of the ocean mixed layer.
The ocean has not recovered from the first eruption so the second eruption drives the temperatures to an even lower state.
Abstract: Contrary to popular media and urban mythology the global warming we have experienced since the Little Ice Age is likely finished. A review of 10 temperature time series from US cities ranging from the hottest in Death Valley, CA, to possible the most isolated and remote at Key West, FL, show rebound from the Little Ice Age (which ended in the Alps by 1840) by 1870. The United States reached temperatures like modern temperatures (1950 – 2000) by about 1870, then declined precipitously principally caused by Krakatoa, and a series of other violent eruptions. Nine of these time series started when instrumental measurement was in its infancy and the world was cooled by volcanic dust and sulphate spewed into the atmosphere and distributed by the jet streams. These ten cities represent a sample of the millions of temperature measurements used in climate models. The average annual temperatures are useful because they account for seasonal fluctuations. In addition, time series from these cities are punctuated by El Nino Southern Oscillation (ENSO).
As should be expected, temperature at each city reacted differently to differing events. Several cities measured the effects of Krakatoa in 1883 while only Death Valley, CA and Berkeley CA sensed the minor new volcano Paricutin in Michoacán, Mexico. The Key West time series shows rapid rebound from the Little Ice Age as do Albany, NY, Harrisburg, PA, and Chicago. IL long before the petroleum-industrial revolution got into full swing. Recording at most sites started during a volcanic induced temperature minimum thus giving an impression of global warming to which industrial carbon dioxide is persuasively held responsible. Carbon dioxide, however, cannot be proven responsible for these temperatures. These and likely subsequent temperatures could be the result of regression to the normal equilibriumtemperatures of the earth (for now). If one were to remove the volcanic punctuation and El Nino Southern Oscillation (ENSO) input many would display very little alarming warming from 1815 to 2000. This review illustrates the weakness of linear regression as a measure of change. If there is a systemic reason for the global warming hypothesis, it is an anthropogenic error in both origin and termination. ENSO compliments and confirms the validity of NOAA temperature data. Temperatures since 2000 during the current hiatus are not available because NOAA has closed the public website.
Example of time series from Manns. Numbers refer to major named volcano eruptions listed in his paper. For instance, #3 was Krakatoa
The cooling effect is said to have lasted for 5 years after Krakatoa erupted – from 1883 to 1888. Examination of these charts, However, shows that, e.g., Krakatoa did not add to the cooling effect from earlier eruptions of Cosaguina in 1835 and Askja in 1875. The temperature charts all show rapid rebound to equilibrium temperature for the region affected in a year or two at most.
Fourteen major volcanic eruptions, however, were recorded between 1883 and 1918 (Robock, 2000, and this essay). Some erupted for days or weeks and some were cataclysmic and shorter. The sum of all these eruptions from Krakatoa onward effected temperatures early in the instrumental age. Judging from wasting glaciers in the Alps, abrupt retreat began about 1860).
Manns Conclusions: 1) Four of these time series (Albany, Harrisburg, Chicago and Key West) show recovery to the range of today’s temperatures by 1870 before the eruption of Askja in 1875. The temperature rebounded very quickly after the Little Ice Age in the northern hemisphere.
2)Volcanic eruptions and unrelated huge swings shown from ENSO largely rule global temperature. Volcanic history and the El Nino Southern Oscillation (ENSO) trump all other increments of temperature that may be hidden in the lists.
3) The sum of the eruptions from Krakatoa (1883) to Katla (1918) and Cerro Azul (1932) was a cold start for climate models.
4) It is beyond doubt that academic and bureau climate models use data that was gathered when volcanic activity had depressed global temperature. The cluster from Krakatoa to Katla (1883 -1918) were global.
5) Modern events, Mount Saint Helens and Pinatubo, moreover, were a fraction of the event intensity of the late 19th and early 20th centuries eruptions.
6)The demise of frequent violent volcanos has allowed the planet to regress toward a norm (for now).
The forecast above did not mention the January 15, 2022 major eruption of Hunga Ha’apai volcano in Tonga.
Summary
These findings describe a natural process by which a series of volcanoes along with a period of quiet solar cycles ended the Medieval Warm Period (MWP), chilling the land and inducing deep oceanic cooling resulting in the Little Ice Age. With much less violent volcanic activity in the 20th century, coincidental with typically active solar cycles, a Modern Warm Period ensued with temperatures rebounding back to approximately the same as before the LIA.
This suggests that humans and the biosphere were enhanced by a warming process that has ended. The solar cycles are again going quiet and are forecast to continue that way. Presently, volcanic activity has been routine, showing no increase over the last 100 years. No one knows how long will last the current warm period, a benefit to us from the ocean recovering after the LIA. But future periods are as likely to be cooler than to be warmer compared to the present.
The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots. It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.
As an overview consider how recent rapid cooling completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016). The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022 Now at year end 2022 and continuing into 2023 global temp anomaly is matching or lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020).
For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa. While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.
Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.
The animation is an update of a previous analysis from Dr. Murry Salby. These graphs use Hadcrut4 and include the 2016 El Nino warming event. The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4. This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C. Previously the 1997-98 El Nino produced a plateau increase of 0.4C. Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.
Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate. On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles.
Update August 3, 2021
Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT
March 2023 Update Land and Sea Temps Little Changed
With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea. While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in. The UAH data analyzed below shows that warming from the last El Nino was fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.
UAH has updated their tlt (temperatures in lower troposphere) dataset for March 2023. Posts on their reading of ocean air temps this month came ahead of updated records from HadSST4. I have previously posted on SSTs using HadSST4 Oceans Stay Cool February 2023.This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years. Sometimes air temps over land diverge from ocean air changes. For example in February, Tropical ocean temps alone moved upward, while temps in all land regions rebounded after hitting bottom..
Note: UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.
Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system. Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy. Measuring water temperature directly avoids distorted impressions from air measurements. In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates. Eventually we will likely have reliable means of recording water temperatures at depth.
Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST. Thus the cooling oceans now portend cooling land air temperatures to follow. He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months. This latter point is addressed in a previous post Who to Blame for Rising CO2?
After a change in priorities, updates are now exclusive to HadSST4. For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for March. The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.
The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI). The graph below shows monthly anomalies for ocean air temps since January 2015.
Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October. That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June. After an upward spike in July, ocean air everywhere cooled in August and also in September. After sharp cooling everywhere in January 2023, all regions were into negative territory. Now in February and March, an uptick in the Tropics led to a small rise globally slightly above zero.
Land Air Temperatures Tracking Downward in Seesaw Pattern
We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly. The land temperature records at surface stations sample air temps at 2 meters above ground. UAH gives tlt anomalies for air over land separately from ocean air temps. The graph updated for March is below.
Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land. Land temps are dominated by NH with a 2021 spike in January, then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere. After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH. Now in February and March both SH and Tropics along with NH pulled up the Global land anomaly.
The Bigger Picture UAH Global Since 1980
The chart shows monthly Global anomalies starting 01/1980 to present. The average monthly anomaly is -0.06, for this period of more than four decades. The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20. An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022. March and April brought warmer Global temps, later reversed, and with the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Now in February and March there is a slight rebound over zero.
TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps. Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak. Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force. TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. It seems obvious that despite the three El Ninos, their warming has not persisted, and without them it would probably have cooled since 1995. Of course, the future has not yet been written.
The post below updates the UAH record of air temperatures over land and ocean. But as an overview consider how recent rapid cooling completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016). The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022 Now at year end 2022 and continuing into January 2023 we have again global temp anomaly lower than average since 1995. (UAH baseline is now 1991-2020).
For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa. While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.
Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.
The animation is an update of a previous analysis from Dr. Murry Salby. These graphs use Hadcrut4 and include the 2016 El Nino warming event. The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4. This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C. Previously the 1997-98 El Nino produced a plateau increase of 0.4C. Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.
Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate. On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles.
Update August 3, 2021
Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT
With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea. While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in. The UAH data analyzed below shows that warming from the last El Nino was fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.
UAH has updated their tlt (temperatures in lower troposphere) dataset for February 2023. Posts on their reading of ocean air temps this month came ahead of updated records from HadSST4. I have previously posted on SSTs using HadSST4 Ahoy! Cooler Ocean Ahead, January 2023 This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years. Sometimes air temps over land diverge from ocean air changes. For example in February, Tropical ocean temps alone moved upward, while temps in all land regions rebounded after hitting bottom..
Note: UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.
Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system. Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy. Measuring water temperature directly avoids distorted impressions from air measurements. In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates. Eventually we will likely have reliable means of recording water temperatures at depth.
Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST. Thus the cooling oceans now portend cooling land air temperatures to follow. He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months. This latter point is addressed in a previous post Who to Blame for Rising CO2?
After a change in priorities, updates are now exclusive to HadSST4. For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for February. The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.
The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI). The graph below shows monthly anomalies for ocean air temps since January 2015.
Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October. That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June. After an upward spike in July, ocean air everywhere cooled in August and also in September. After sharp cooling everywhere in January 2023, all regions were into negative territory. Now in February, an uptick in the Tropics led a small rise globally slightly above zero.
Land Air Temperatures Tracking Downward in Seesaw Pattern
We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly. The land temperature records at surface stations sample air temps at 2 meters above ground. UAH gives tlt anomalies for air over land separately from ocean air temps. The graph updated for February is below.
Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land. Land temps are dominated by NH with a 2021 spike in January, then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere. After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH. Now in February both SH and Tropics along with NH pulled up the Global land anomaly.
The Bigger Picture UAH Global Since 1980
The chart shows monthly Global anomalies starting 01/1980 to present. The average monthly anomaly is -0.06, for this period of more than four decades. The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20. An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022. March and April brought warmer Global temps, later reversed, and with the sharp drops in Nov., Dec. and January temps, there was no increase over 1980. Now in February there is a slight rebound over zero.
TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps. Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak. Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force. TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. It seems obvious that despite the three El Ninos, their warming has not persisted, and without them it would probably have cooled since 1995. Of course, the future has not yet been written.
When I presented this diagram to my warmist friends, they would respond, “But you don’t know what caused the LIA or what ended it!” To which I would say, “True, but we know it wasn’t due to burning fossil fuels.” Now I find there is a body of evidence suggesting what caused the LIA and why the temperature rebound may be over. Part of it is a familiar observation that the LIA coincided with a period when the sun was lacking sunspots, the Maunder Minimum, and later the Dalton.
Science Matters 
