Climate Science

WMO Jumps the Warming Shark

Posted on March 24, 2024 by Ron Clutz

Considering the relentless fear mongering by the World Meteorological Organization (WMO), the acronym should be pronounced “Whaammo.” The latest is their hype about temperatures in 2023 as reported in the Daily Mail Climate change is ‘off the charts’:

Damning report reveals how records were smashed for greenhouse gas emissions, global temperatures and sea level rise in 2023 – and scientists warn ‘changes are speeding up’

Their killer graph is this one:

John Ray explains the exaggerations in comments at his blog In talics with my bolds and added images.

Here we go again. The temperature changes they are talking about are tiny and their link to human activities is just a wobbly theory. There is no proof that human activities had any impact at all.

All the warming since 1947 followed three strong El Nino events.

And note the chart. It is calibrated in TENTHS of one degree and has to go back to 1850 to show anything like a smooth rise. A more detailed chart would show long periods of stasis and falls, unlike CO emissions, which have been rising fairly steadily as industrial civilization has progressed. It is all just asssertion and even they admit that recent rises could be due to El Nino rather than CO2 emissions

And note that they show NO details of the CO2 changes which they allege to be at fault.

The sharp rise in ocean temps in 2023 has uncertain causes, but cannot be attributed to slow systemtic increases in CO2.

Humans Add Little to Rising CO2 March 2024

Posted on March 20, 2024 by Ron Clutz

Figure 16. Model reproduction of the monthly observations of evolution of δ13C at Barrow: (upper) without update of initial conditions and (lower) with update of initial conditions in each step by the δ13C observations.

While numerous studies support the title conclusion, the most recent and thorough analysis comes in the paper Net Isotopic Signature of Atmospheric CO2 Sources and Sinks: No Change since the Little Ice Age by Demetris Koutsoyiannis. Excerpts in italics with my bolds and added images. H/T notrickszone

Abstract

Recent studies have provided evidence, based on analyses of instrumental measurements of the last seven decades, for a unidirectional, potentially causal link between temperature as the cause and carbon dioxide concentration ([CO2]) as the effect. In the most recent study, this finding was supported by analysing the carbon cycle and showing that the natural [CO2] changes due to temperature rise are far larger (by a factor > 3) than human emissions, while the latter are no larger than 4% of the total. Here, we provide additional support for these findings by examining the signatures of the stable carbon isotopes, 12 and 13. Examining isotopic data in four important observation sites, we show that the standard metric δ13C is consistent with an input isotopic signature that is stable over the entire period of observations (>40 years), i.e., not affected by increases in human CO2 emissions. In addition, proxy data covering the period after 1500 AD also show stable behaviour.

These findings confirm the major role of the biosphere in the carbon cycle
and a non-discernible signature of humans.

Introduction

In recent years, a decrease in atmospheric δ¹³C has been observed, which is often termed the Suess Effect after Suess (1955) [11], who published the first observations on this phenomenon on trees, albeit using ¹⁴C data. He attributed the decrease to human activities, stating:

The decrease [in the specific ¹⁴C activity of wood at time of growth during the past 50 years] can be attributed to the introduction of a certain amount of C¹⁴-free CO₂ into the atmosphere by artificial coal and oil combustion and to the rate of isotopic exchange between atmospheric CO₂ and the bicarbonate dissolved in the oceans.

There is no question that δ¹³C has been decreasing and that human emissions have been increasing since the Industrial Revolution (Figure 2). Also, as seen in Figure 1, the combustion of fossil fuels can have an effect on reducing δ¹³C, as they are relatively depleted in ¹³C. This was the line of thought behind Suess [11] (even though the above quotation refers to ¹⁴C) and has become a common conviction thereafter.

Figure 2. (left) Compiled data set of annual mean, global mean values for δ13C in atmospheric CO2, from Graven et al. [12], reconstructed after digitisation of Figure 3 of Graven et al. [8]; and (right) evolution of global human carbon emissions [13,14], after conversion from CO2 to C (dividing by 3.67).

For example, Andres et al. [15,16] stated:

The carbon isotopic (δ13C, PDB) signature of fossil fuel emissions has decreased during the last century, reflecting the changing mix of fossil fuels produced.

Also, in their recent review paper, Graven et al. [8] noted:

Since the Industrial Revolution, the carbon isotopic composition of atmospheric CO2 has undergone dramatic changes as a result of human activities and the response of the natural carbon cycle to them. The relative amount of atmospheric 14C and 13C in CO2 has decreased because of the addition of 14C- and 13C-depleted fossil carbon.

These generally accepted hypotheses, however, may reflect a dogmatic approach, or a postmodern ideological effect, i.e., to blame everything on human actions. Hence, the null hypothesis that all observed changes are (mostly) natural has not seriously been investigated. However, there are good reasons for this investigation. It is a fact that the biosphere has become more productive and expanded [5,17,18,19], resulting in natural amplification of the carbon cycle due to increased temperature. This fact may have been a primary factor for the decrease in the isotopic signature δ13C in atmospheric CO2. Note that the emissions of the biosphere are much larger than fossil fuel emissions (where the latter are only 4% of the total) [5] and, as seen in Figure 1, the biosphere’s isotopic signature δ13C is much lower than the atmospheric (see also Section 6).

Figure 1. Typical ranges of isotopic signatures δ13C for each of the pools interacting with atmospheric CO2, and related exchange processes.

In addition to the biosphere’s action, other natural factors also affect the input isotopic signature in the atmospheric CO2. These include volcano eruptions, among which, in the recent period, the Pinatubo eruption in 1991 is regarded as the most important, as well as the interannual variability related to El Niño—Southern Oscillation (ENSO) [8].

To investigate the null hypothesis and answer the two research questions posed above, we use modern instrumental and proxy data, as described in Section 2. We develop a theoretical framework in Section 3, which we apply to the data in a diagnostic mode in Section 4, and in a modelling mode in Section 5. The findings of these applications are further discussed in Section 6 and the conclusions are drawn in Section 7.

Discussion

With only two parameters, δ13CU and δ13CD, which represent the input isotopic signatures for the seasonal increasing and decreasing phases of [CO2], respectively, we are able to effectively model the isotopic signature δ13C of the atmosphere for the entire observation period. Of these parameters, δ13CD, reflecting the fractionation by photosynthesis, can be assumed as the same for the entire globe, while δ13CU varies, with smaller (more negative) values as we go north and higher (less negative) values as we go south. This spatial variation of δ13CU reflects the differences of the strength of seasonality in [CO2] and δ13C, which is at a maximum toward the North Pole and at a minimum at the South Pole.

The strong seasonality at high latitudes north is probably related to the processes in boreal vegetation, the dominance of snow and ice in winter, and the absence of photosynthesis during the 6-month night (note that Barrow, at a latitude of 71.3° N, is more north than the Artic Circle at 66.6° N). As we go south, some of these features cease to occur, and seasonality becomes less prominent, as photosynthesis occurs throughout the entire year, albeit with varying intensities. The minimal seasonality in the South Pole is probably related to the absence of vegetation due to the minimal appearance of land beyond a latitude of 43° S (with the exception of the frozen continent of Antarctica and a relatively small wedge of land in South America). All these suggest the dominance of terrestrial biosphere processes in driving [CO2] and δ13C.

Considering the fact that, as seen in Figure 2 (above), the human carbon emissions per year have doubled in the observed time period, if these were a key factor, this would somehow be reflected in a trend in the seasonality. Therefore, no sign is discerned that would necessitate an attribution to the influence of fossil fuel emissions. In contrast, continuity suggests that the key processes in CO2 emissions are related to biosphere processes such as respiration and photosynthesis.
.
Despite differences in seasonality, the over-annual input isotopic signature δ13CI remains almost the same globally, as seen in Table 4, which summarizes the results of all analyses, diagnostic and modelling, suggesting similar values, irrespective of the method used. This is not difficult to explain as, in the long run, CO2 is well mixed in the atmosphere; thus regional differences in seasonal δ13CI tend to disappear.

In both the diagnostic and the modelling phases of this paper, the inclusion of human emissions proved unnecessary. This may contrast with common opinion, which blames all changes on humans, but is absolutely reasonable, as humans are responsible for only 4% of carbon emissions. In addition, the vast majority of changes in the atmosphere since 1750 are due to natural processes, respiration and photosynthesis, as articulated in the recent study by Koutsoyiannis et al. [5] and schematically depicted in Figure 22, reproduced from that study.

Figure 22. Annual carbon balance in the Earth’s atmosphere, in Gt C/year, based on the IPCC estimates (Figure 5.12 of [30]). The balance of 5.1 Gt C/year is the annual accumulation of carbon (in the form of CO2) in the atmosphere (reproduced from [5].).

The following observations can be noted in Figure 22: (a) the terrestrial biosphere processes are much stronger than the maritime ones in terms of both production and absorption of CO₂; (b) the CO₂ emissions by even the ocean biosphere are much larger than human emissions; and (c) the modern (post 1750) CO₂ additions to pre-industrial quantities (red bars in the right-hand part of the graph, corresponding to positive values) exceed the human emissions by a factor of ~4.5. These observations provide explanations for the findings of this study.

Furthermore, it is relevant to note the minor role of CO₂ in the greenhouse effect. As shown in a recent study by Koutsoyiannis and Vournas, despite the increase in [CO₂] by more than 30% in a century-long period, the strength of the greenhouse effect has not changed in a manner discernible in the radiation data. The greenhouse effect is dominated by the presence of water vapour in the atmosphere, rather than CO₂. That study is Revisiting the greenhouse effect – a hydrological perspective in Hydrological Sciences Journal, 2023.

Conclusions

The results of the analyses in this paper provide negative answers to the research questions posed in the Introduction. Specifically:

♦ From modern instrumental carbon isotopic data of the last 40 years, no signs of human (fossil fuel) CO2 emissions can be discerned;
♦ Proxy data since the Little Ice Age suggest that the modern period of instrumental data does not differ, in terms of the net isotopic signature of atmospheric CO2 sources and sinks, from earlier centuries.

Combined with earlier studies, namely [2,3,4,5,31], these findings allow for the following line of thought to be formulated, which contrasts the dominant climate narrative, on the basis that different lines of thought are beneficial for the progress of science, even though they are not welcomed by those with political agendas promoting the narratives (whose representatives declare that they “own the science”, as can be seen in the motto in the beginning of the paper).

1. In the 16th century, Earth entered a cool climatic period, known as the Little Ice Age, which ended at the beginning of the 19th century;
2. Immediately after, a warming period began, which has lasted until now. The causes of the warming must be analogous to those that resulted in the Medieval Warm Period around 1000 AD, the Roman Climate Optimum around the first centuries BC and AD, the Minoan Climate Optimum at around 1500 BC, and other warming periods throughout the Holocene
3. As a result of the recent warming, and as explained in [5], the biosphere has expanded and become more productive, leading to increased CO2 concentration in the atmosphere and greening of the Earth [17,18,19,32];
4. As a result of the increased CO2 concentration, the isotopic signature δ13C in the atmosphere has decreased;
5. The greenhouse effect on the Earth remained stable in the last century, as it is dominated by the water vapour in the atmosphere [31];
6. Human CO2 emissions have played a minor role in the recent climatic evolution, which is hardly discernible in observational data and unnecessary to invoke in modelling the observed behaviours, including the change in the isotopic signature δ13C in the atmosphere.

Overall, the findings in this paper confirm the major role of the biosphere
in the carbon cycle (and through this in climate)
and a non-discernible signature of humans.

One may associate the findings of the paper with several questions related to international policies:

♦ Do these results refute the hypothesis that CO2 emissions contribute to global warming through the greenhouse effect?

♦ Do these findings, by suggesting a minimal human impact on the isotopic composition of atmospheric carbon, contradict the need to reduce CO2 emissions?

♦ Are human carbon emissions independent from other forms of pollution, such as emissions of fine particles and nitrogen oxides, which can have harmful effects on human health and the environment?

These questions are not posed at all in the paper and certainly are not studied in it. Therefore, they cannot be answered on a scientific basis within the paper’s confined scope but require further research. The reader may feel free to study such questions and provide sensible replies. It is relevant to note that a reviewer implied these questions and suggested negative replies to each of them.

UAH February 2024: SH Saves Global Warming

Posted on March 19, 2024 by Ron Clutz

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 has been warming from an El Nino buildup coincidental with North Atlantic warming, 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 At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020). Now we have an usual El Nino warming spike of uncertain cause, but unrelated to steadily rising CO2.

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.

gmt-warming-events

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. And now in 2023 we are seeing an amazing episode with a temperature spike driven by ocean air warming in all regions, with some cooling the last two months.

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

mc_wh_gas_web20210423124932

February 2024 SH Warming Overcomes Cooling Elsewhere

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 heard 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. Spring and Summer 2023 saw a series of warmings, continuing into October, but with cooling since.

UAH has updated their tlt (temperatures in lower troposphere) dataset for February 2024. Posts on their reading of ocean air temps this month comes just after updated records from HadSST4. I posted yesterday on SSTs using HadSST4 Ocean Cools as El Nino Recedes February 2024. 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. November 2023 was notable for a dichotomy between Ocean and Land air temperatures in UAH dataset. Remarkably a new high for Ocean air temps appeared with warming in all regions, while Land air temps dropped with cooling in all regions. As a result the Global Ocean and Land anomaly result remained little changed. Last month in February 2024, both ocean and land air temps went higher driven by SH, while NH and the Tropics cooled slightly, resulting in Global anomaly matching October 2023 peak.

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 changed 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 cooling oceans 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. Note the Tropics matched the lowest value, but since have spiked sharply upward +1.7C, with the largest increases in April to July, and continuing through adding to a new high January 2024. NH also spiked upward to a new high, while Global ocean rise was more modest due to slight SH cooling. Now in February, NH and Tropics have cooled slightly, while greater warming in SH resulting in a small Global rise.

Land Air Temperatures Tracking 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.

Remarkably, in 2023, SH land air anomaly shot up 2.1C, from -0.6C in January to +1.5 in September, then dropped sharply to 0.6 in January 2024, matching the SH peak in 2016. Now in February SH anomaly jumped up nearly 0.4C, pulling up the Global land anomaly despite continuing cooling elsewhere.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global anomalies starting 01/1980 to present. The average monthly anomaly is -0.04, 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

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. December and January were down slightly, and now February is matching the October peak. Where it goes from here, up or down further, remains to be seen, though there is evidence that El Nino is weakening.

The graph reminds of another chart showing the abrupt ejection of humid air from Hunga Tonga eruption.

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 HadSST4, but are now showing the same pattern. Despite the three El Ninos, their warming has not persisted prior to 2023, and without them it would probably have cooled since 1995. Of course, the future has not yet been written.

Ocean Cools as El Nino Recedes February 2024

Posted on March 18, 2024 by Ron Clutz

The best context for understanding decadal temperature changes comes from the world’s sea surface temperatures (SST), for several reasons:

The ocean covers 71% of the globe and drives average temperatures;
SSTs have a constant water content, (unlike air temperatures), so give a better reading of heat content variations;
Major El Ninos have been the dominant climate feature in recent years.

HadSST is generally regarded as the best of the global SST data sets, and so the temperature story here comes from that source. Previously I used HadSST3 for these reports, but Hadley Centre has made HadSST4 the priority, and v.3 will no longer be updated. HadSST4 is the same as v.3, except that the older data from ship water intake was re-estimated to be generally lower temperatures than shown in v.3. The effect is that v.4 has lower average anomalies for the baseline period 1961-1990, thereby showing higher current anomalies than v.3. This analysis concerns more recent time periods and depends on very similar differentials as those from v.3 despite higher absolute anomaly values in v.4. More on what distinguishes HadSST3 and 4 from other SST products at the end. The user guide for HadSST4 is here.

The Current Context

The chart below shows SST monthly anomalies as reported in HadSST4 starting in 2015 through February 2024. A global cooling pattern is seen clearly in the Tropics since its peak in 2016, joined by NH and SH cycling downward since 2016.

Note that in 2015-2016 the Tropics and SH peaked in between two summer NH spikes. That pattern repeated in 2019-2020 with a lesser Tropics peak and SH bump, but with higher NH spikes. By end of 2020, cooler SSTs in all regions took the Global anomaly well below the mean for this period.

Then in 2022, another strong NH summer spike peaked in August, but this time both the Tropic and SH were countervailing, resulting in only slight Global warming, later receding to the mean. Oct./Nov. temps dropped in NH and the Tropics took the Global anomaly below the average for this period. After an uptick in December, temps in January 2023 dropped everywhere, strongest in NH, with the Global anomaly further below the mean since 2015.

Then came El Nino as shown by the upward spike in the Tropics since January, the anomaly nearly tripling from 0.38C to 1.09C. In September 2023, all regions rose, especially NH up from 0.70C to 1.41C, pulling up the global anomaly to a new high for this period. By December, NH cooled to 1.1C and the Global anomaly down to 0.94C from its peak of 1.10C, despite slight warming in SH and Tropics.

Then in January both Tropics and SH rose, resulting Global Anomaly going higher. Tropics anomaly reached a new peak of 1.29C. and all ocean regions were higher than 01/2016, the previous peak. Now in February all regions cooled bringing the Global anomaly back down 0.13C from its September peak.

Comment:

The climatists have seized on this unusual warming as proof their Zero Carbon agenda is needed, without addressing how impossible it would be for CO2 warming the air to raise ocean temperatures. It is the ocean that warms the air, not the other way around. Recently Steven Koonin had this to say about the phonomenon confirmed in the graph above:

El Nino is a phenomenon in the climate system that happens once every four or five years. Heat builds up in the equatorial Pacific to the west of Indonesia and so on. Then when enough of it builds up it surges across the Pacific and changes the currents and the winds. As it surges toward South America it was discovered and named in the 19th century It is well understood at this point that the phenomenon has nothing to do with CO2.

Now people talk about changes in that phenomena as a result of CO2 but it’s there in the climate system already and when it happens it influences weather all over the world. We feel it when it gets rainier in Southern California for example. So for the last 3 years we have been in the opposite of an El Nino, a La Nina, part of the reason people think the West Coast has been in drought.

It has now shifted in the last months to an El Nino condition that warms the globe and is thought to contribute to this Spike we have seen. But there are other contributions as well. One of the most surprising ones is that back in January of 2022 an enormous underwater volcano went off in Tonga and it put up a lot of water vapor into the upper atmosphere. It increased the upper atmosphere of water vapor by about 10 percent, and that’s a warming effect, and it may be that is contributing to why the spike is so high.

A longer view of SSTs

To enlarge image, open in new tabl.

The graph above is noisy, but the density is needed to see the seasonal patterns in the oceanic fluctuations. Previous posts focused on the rise and fall of the last El Nino starting in 2015. This post adds a longer view, encompassing the significant 1998 El Nino and since. The color schemes are retained for Global, Tropics, NH and SH anomalies. Despite the longer time frame, I have kept the monthly data (rather than yearly averages) because of interesting shifts between January and July. 1995 is a reasonable (ENSO neutral) starting point prior to the first El Nino.

The sharp Tropical rise peaking in 1998 is dominant in the record, starting Jan. ’97 to pull up SSTs uniformly before returning to the same level Jan. ’99. There were strong cool periods before and after the 1998 El Nino event. Then SSTs in all regions returned to the mean in 2001-2.

SSTS fluctuate around the mean until 2007, when another, smaller ENSO event occurs. There is cooling 2007-8, a lower peak warming in 2009-10, following by cooling in 2011-12. Again SSTs are average 2013-14.

Now a different pattern appears. The Tropics cooled sharply to Jan 11, then rise steadily for 4 years to Jan 15, at which point the most recent major El Nino takes off. But this time in contrast to ’97-’99, the Northern Hemisphere produces peaks every summer pulling up the Global average. In fact, these NH peaks appear every July starting in 2003, growing stronger to produce 3 massive highs in 2014, 15 and 16. NH July 2017 was only slightly lower, and a fifth NH peak still lower in Sept. 2018.

The highest summer NH peaks came in 2019 and 2020, only this time the Tropics and SH were offsetting rather adding to the warming. (Note: these are high anomalies on top of the highest absolute temps in the NH.) Since 2014 SH has played a moderating role, offsetting the NH warming pulses. After September 2020 temps dropped off down until February 2021. In 2021-22 there were again summer NH spikes, but in 2022 moderated first by cooling Tropics and SH SSTs, then in October to January 2023 by deeper cooling in NH and Tropics.

Now in 2023 the Tropics flipped from below to well above average, while NH has produced a summer peak extending into September higher than any previous year. Despite El Nino driving the Tropics January anomaly higher than 1998 and 2016 peaks, last month cooling in all regions, especially the Tropics suggests that the peak may have been reached.

What to make of all this? The patterns suggest that in addition to El Ninos in the Pacific driving the Tropic SSTs, something else is going on in the NH. The obvious culprit is the North Atlantic, since I have seen this sort of pulsing before. After reading some papers by David Dilley, I confirmed his observation of Atlantic pulses into the Arctic every 8 to 10 years.

Contemporary AMO Observations

Through January 2023 I depended on the Kaplan AMO Index (not smoothed, not detrended) for N. Atlantic observations. But it is no longer being updated, and NOAA says they don’t know its future. So I find that ERSSTv5 AMO dataset has data through October. It differs from Kaplan, which reported average absolute temps measured in N. Atlantic. “ERSST5 AMO follows Trenberth and Shea (2006) proposal to use the NA region EQ-60°N, 0°-80°W and subtract the global rise of SST 60°S-60°N to obtain a measure of the internal variability, arguing that the effect of external forcing on the North Atlantic should be similar to the effect on the other oceans.” So the values represent sst anomaly differences between the N. Atlantic and the Global ocean.

The chart above confirms what Kaplan also showed. As August is the hottest month for the N. Atlantic, its varibility, high and low, drives the annual results for this basin. Note also the peaks in 2010, lows after 2014, and a rise in 2021. Now in 2023 the peak was holding at 1.4C before decling. An annual chart below is informative:

Note the difference between blue/green years, beige/brown, and purple/red years. 2010, 2021, 2022 all peaked strongly in August or September. 1998 and 2007 were mildly warm. 2016 and 2018 were matching or cooler than the global average. 2023 started out slightly warm, then rose steadily to an extraordinary peak in July. August to October were only slightly lower, but by December cooled by ~0.4C. January 2024 was unchanged from the previous month, but February anomaly rose 0.1C

The pattern suggests the ocean may be demonstrating a stairstep pattern like that we have also seen in HadCRUT4.

The purple line is the average anomaly 1980-1996 inclusive, value 0.18. The orange line the average 1980-202306, value 0.38, also for the period 1997-2012. The red line is 2013-202306, value 0.64. As noted above, these rising stages are driven by the combined warming in the Tropics and NH, including both Pacific and Atlantic basins.

Curiosity: Solar Coincidence?

The news about our current solar cycle 25 is that the solar activity is hitting peak numbers now and higher than expected 1-2 years in the future. As livescience put it: Solar maximum could hit us harder and sooner than we thought. How dangerous will the sun’s chaotic peak be? Some charts from spaceweatherlive look familar to these sea surface temperature charts.

Summary

The oceans are driving the warming this century. SSTs took a step up with the 1998 El Nino and have stayed there with help from the North Atlantic, and more recently the Pacific northern “Blob.” The ocean surfaces are releasing a lot of energy, warming the air, but eventually will have a cooling effect. The decline after 1937 was rapid by comparison, so one wonders: How long can the oceans keep this up? And is the sun adding forcing to this process?

Space weather impacts the ionosphere in this animation. Credits: NASA/GSFC/CIL/Krystofer Kim

Footnote: Why Rely on HadSST4

HadSST is distinguished from other SST products because HadCRU (Hadley Climatic Research Unit) does not engage in SST interpolation, i.e. infilling estimated anomalies into grid cells lacking sufficient sampling in a given month. From reading the documentation and from queries to Met Office, this is their procedure.

HadSST4 imports data from gridcells containing ocean, excluding land cells. From past records, they have calculated daily and monthly average readings for each grid cell for the period 1961 to 1990. Those temperatures form the baseline from which anomalies are calculated.

In a given month, each gridcell with sufficient sampling is averaged for the month and then the baseline value for that cell and that month is subtracted, resulting in the monthly anomaly for that cell. All cells with monthly anomalies are averaged to produce global, hemispheric and tropical anomalies for the month, based on the cells in those locations. For example, Tropics averages include ocean grid cells lying between latitudes 20N and 20S.

Gridcells lacking sufficient sampling that month are left out of the averaging, and the uncertainty from such missing data is estimated. IMO that is more reasonable than inventing data to infill. And it seems that the Global Drifter Array displayed in the top image is providing more uniform coverage of the oceans than in the past.

uss-pearl-harbor-deploys-global-drifter-buoys-in-pacific-ocean

USS Pearl Harbor deploys Global Drifter Buoys in Pacific Ocean

2024 El Nino Collapsing

Posted on March 11, 2024 by Ron Clutz

Meteorologist Cliff Mass explains at his blog El Nino’s Collapse Has Begun. Excerpts in italics with my bolds, added images and ending comment.

The entire character of this winter has been characterized by a strong El Nino.

El Nino impacts have included low snowpack over Washington State, huge snowpack and heavy precipitation over California, and warm temperatures over the Upper Plains states.

However, El Nino’s days are numbered and
its decline is proceeding rapidly right now.

First, consider the critical measure of El Nino: the sea surface temperatures in the central tropical Pacific (see graph above showing the Nino 3.4 area). The warmth of this El Nino peaked in late November (about 2.1°C above normal) and is now declining fairly rapidly (currently at roughly 1.3°C above normal).

But the cooling is really more dramatic than that:
a LOT of cooling has been happening beneath the surface!

To demonstrate this, take a look at subsurface temperatures (the difference from normal) for the lowest 300 m under the surface for a vertical cross-section across the Pacific (below).

On 8 January, there was a substantial warm layer extending about 100 m beneath the surface.

But look at the same cross-section on 27 February.

Wow–what a difference! The warm water has dramatically cooled, with only a thin veneer of warmth evident for much of the Pacific. Rapidly cooling has occurred beneath the surface and this cool water is about to spread to the surface.

If you really want to appreciate the profound cooling take a look at the amount of heat in the upper ocean for the western tropical Pacific (below, the difference from normal is being shown).

A very, very dramatic change has occurred. The heat content of the upper ocean peaked in late November and then plummeted. Declined so much that the water below the surface is now COOLER than normal.

El Nino fans will be further dismayed to learn that models are going for a continuous decline….so much so that they predict a La Nina next year!

My Comment: Why this shift from El Nino to La Nina matters

Global temperatures typically increase during an El Niño episode, and fall during La Niña. El Niño means warmer water spreads further, and stays closer to the surface. This releases more heat into the atmosphere, creating wetter and warmer air.

Air temperatures typically peak a few months after El Niño hits maximum strength, as heat escapes from the sea surface to the atmosphere.

In 2021, the UN’s climate scientists, the IPCC, said the ENSO events which have occurred since 1950 are stronger than those observed between 1850 and 1950. But it also said that tree rings and other historical evidence show there have been variations in the frequency and strength of these episodes since the 1400s.

The IPCC concluded there is no clear evidence that Climate Change™ has affected these events.

CO2 Coalition Does Climate Reveal in Wyoming

Posted on March 9, 2024 by Ron Clutz

The CO2 Coalition article is CO2 Coalition Takes the Science to Wyoming. Excerpts in italics with my bolds and added images.

Wyoming has vast resources of coal, oil and natural gas. With 40% of the nation’s coal resources, the state has been the United States’ top producer since 1986, primarily from the Powder River Basin located in the northeastern part of the state. It is also a national leader in the production of oil and natural gas, ranking in the top 10 in production of both products.

Yet, even though the Wyoming economy is heavily dependent on the mining and extraction of fossil fuels, its governor, Mark Gordon, has adopted a strong “decarbonization” policy. The science tells us that this is not a winning strategy for the people of Wyoming.

The CO2 Coalition believes that public policy on such matters should be driven by scientific review and analysis, not political agendas. To provide such an analysis, we have produced this report, Wyoming and Climate Change: CO2 Should Be Celebrated, Not Captured.

We also sent a team of climate experts from the CO2 Coalition, including Dr. William Happer, Dr. Byron Soepyan and Gregory Wrightstone to Wyoming to provide the facts concerning the huge benefits of carbon dioxide. This team presented the science at a hearing of the Wyoming Senate Agriculture Committee (pictured above.)

The team also presented accurate science regarding Wyoming’s climate to students at Gillette College, Laramie County Community College, and at the University of Wyoming.

Temperature Data Shows Good News for Wyoming

Data for Wyoming contradict the 4th National Climate Assessment (NCA4) assertion that “the frequency and intensity of extreme high temperature events are virtually certain to increase.”

Our data analysis shows that high daily temperatures peaked during the Dust Bowl years of the 1930s and have been in a 90-year decline. This is confirmed by reviewing the percentage of days that were reported to be hotter than 100°F (37.8°C) by Wyoming temperature stations. There is no discernible increase, and the largest numbers occurred in the first half of the 20th century when CO2 levels were 70% of recent measurements.

There has been, however, a beneficial increase in the minimum nighttime temperatures, which has led to a lengthening of the Wyoming growing season. Since the late 1800s, these nighttime temperatures have increased about 2°F (1.1°C).

The slight increase of about 1.2°F (0.7°C) in the average temperature
in the last 120 years is being driven by reductions in extreme cold
rather than increases in extreme heat.

Full Report: Wyoming and Climate Change

Conclusion From Full Report

The recent proposal by Wyoming Governor Mark Gordon to use “carbon capture” to achieve what he terms “negative net zero” (Gordon 2021) is based on a flawed theory that increasing CO2 in the atmosphere is leading to harmful effects on Wyoming’s environment and its people. Within this report, we have documented that modest warming and increasing carbon dioxide are clearly beneficial for the Cowboy State’s ecosystems and citizenry.

The data tell us the following:

• Current levels of carbon dioxide are at near historically low concentrations.
• Adjustments to historic temperature records have artificially amplified modern warming.
• Wyoming temperatures have increased a modest 1.2°F (0.7°C) since 1895.
• Heat waves peaked in the 1930s and have been in slight decline since that period.
• Nightime low temperatures have increased, lengthening growing seasons.
• Precipitation data, while varying greatly from year-to-year, show no increasing or decreasing trend.
• Droughts are not increasing in Wyoming.
• Severe weather and natural disasters are declining.
• Agricultural production, globally and in Wyoming, is thriving due to modest warming and more CO2.
• Vegetation in Wyoming and around the world is increasing.
• Greenhouse-induced warming that would be averted (< 0.003°F) by eliminating Wyoming’s CO2 emissions would be too small to measure and achieved, if at all, at enormous cost.
• Models used to project future temperatures significantly overpredict the amount of warming in coming decades.

CO2 Should Be Celebrated, Not Captured

Top Climate Model Improved to Show ENSO Skill

Posted on February 25, 2024 by Ron Clutz

Previous posts (linked at end) discuss how the climate model from RAS (Russian Academy of Science) has evolved through several versions. The interest arose because of its greater ability to replicate the past temperature history. The model is part of the CMIP program which is now going the next step to CMIP7, and is one of the first to test with a new climate simulation. Improvements to the latest model, INMCM60, show an enhanced ability to replicate ENSO oscillations in the Pacific ocean, which have significant climate impacts world wide.

This news comes by way of a new paper published in the Russian Journal of Numerical Analysis and Mathematical Modelling February 2024. The title is ENSO phase locking, asymmetry and predictability in the INMCM Earth system model, Seleznev et al. (2024) Excerpts in italics with my bolds and images from the article.

Abstract:

Advanced numerical climate models are known to exhibit biases in simulating some features of El Niño–Southern Oscillation (ENSO) which is a key mode of inter-annual climate variability. In this study we analyze how two fundamental features of observed ENSO – asymmetry between hot and cold states and phase-locking to the annual cycle – are reﬂected in two diﬀerent versions of the INMCM Earth system model (state-of-the-art Earth system model participating in the Coupled Model Intercomparison Project).

We identify the above ENSO features using the conventional empirical orthogonal functions (EOF) analysis which is applied to both observed and simulated upper ocean heat content (OHC) data in the tropical Paciﬁc. We obtain that the observed tropical Paciﬁc OHC variability is described well by two leading EOF-modes which roughly reﬂect the fundamental recharge-discharge mechanism of ENSO. These modes exhibit strong seasonal cycles associated with ENSO phase locking while the revealed nonlinear dependencies between amplitudes of these cycles reﬂect ENSO asymmetry.

We also assess and compare predictability of observed and simulated ENSO based on linear inverse modeling. We ﬁnd that the improved INMCM6 model has signiﬁcant beneﬁts in simulating described features of observed ENSO as compared with the previous INMCM5 model. The improvements of the INMCM6 model providing such beneﬁts arediscussed. We argue that proper cloud parametrization scheme is crucial for accurate simulation of ENSO dynamics with numerical climate models