Climate Science | Science Matters

Scientists Say: Net Zero Wins Nearly Zero Results

Posted on June 29, 2024 by Ron Clutz

Chris Morrison explains at his Daily Sceptic article Net Zero Will Prevent Almost Zero Warming, Say Three Top Atmospheric Scientists. Excerpts in italics with my bolds and added images.

Recent calculations by the distinguished atmospheric scientists Richard Lindzen, William Happer and William van Wijngaarden suggest that if the entire world eliminated net carbon dioxide emissions by 2050 it would avert warming of an almost unmeasurable 0.07°C. Even assuming the climate modelled feedbacks and temperature opinions of the politicised Intergovernmental Panel on Climate Change (IPCC), the rise would be only 0.28°C. Year Zero would have been achieved along with the destruction of economic and social life for eight billion people on Planet Earth. “It would be hard to find a better example of a policy of all pain and no gain,” note the scientists. [Paper is Net Zero Averted Temperature Increase by Lindzen, Happer and van Wijngaarden.]

In the U.K., the current General Election is almost certain to be won by a party that is committed to outright warfare on hydrocarbons. The Labour party will attempt to ‘decarbonise’ the electricity grid by the end of the decade without any realistic instant backup for unreliable wind and solar except oil and gas. Britain is sitting on huge reserves of hydrocarbons but new exploration is to be banned. It is hard to think of a more ruinous energy policy, but the Conservative governing party is little better. Led by the hapless May, a woman over-promoted since her time running the education committee on Merton Council, through to Buffo Boris and Washed-Out Rishi, its leaders have drunk the eco Kool-Aid fed to them by the likes of Roger Hallam, Extinction Rebellion and the Swedish Doom Goblin. Adding to the mix in the new Parliament will be a likely 200 new ‘Labour’ recruits with university degrees in buggerallology and CVs full of parasitical non-jobs in the public sector.

Hardly any science knowledge between them, they even believe that they can spend billions of other people’s money to capture CO2 – perfectly good plant fertiliser – and bury it in the ground. As a privileged, largely middle class group, they have net zero understanding of how a modern industrial society works, feeds itself and creates the wealth that pays their unnecessary wages. All will be vying to save the planet and stop a temperature rise that is barely a rounding error on any long-term view.

They plan to cull the farting cows, sow wild flowers where food
once grew, take away efficient gas boilers and internal combustion
cars and stop granny visiting her grandchildren in the United States.

On a wider front, banning hydrocarbons will remove almost everything from a modern society including many medicines, building materials, fertilisers, plastics and cleaning products. It might be shorter and easier to list essential items where hydrocarbons are absent than produce one where they are present. Anyone who dissents from their absurd views is said to be in league with fossil fuel interests, a risible suggestion given that they themselves are dependent on hydrocarbon producers to sustain their enviable lifestyles.

Unlike politicians the world over who rant about fire and brimstone, Messrs Lindzen, Happer and van Wijngaarden pay close attention to actual climate observations and analyses of the data. Since it is impossible to determine how much of the gentle warming of the last two centuries is natural or caused by higher levels of CO2, they assume a ‘climate sensitivity’ – rise in temperature when CO2 doubles in the atmosphere – of 0.8°C. This is about four times less than IPCC estimates, which lacks any proof. Understandably the IPCC does not make a big issue of this lack of crucial proof at the heart of the so-called 97% anthropogenic ‘consensus’.

The 0.8°C estimate is based on the idea that greenhouse gases like CO2 ‘saturate’ at certain levels and their warming effect falls off a logarithmic cliff. This idea has the advantage of explaining climate records that stretch back 600 million years since CO2 levels have been up to 10-15 times higher in the past compared with the extremely low levels observed today. There is little if any long term causal link between temperature and CO2 over time. In the immediate past record there is evidence that CO2 rises after natural increases in temperature as the gas is released from warmer oceans.

Any argument that the Earth has a ‘boiling’ problem caused by the small CO2 contribution that humans make by using hydrocarbons is ‘settled’ by an invented political crisis, but is backed by no reliable observational data. Most of the fear-mongering is little more than a circular exercise using computer models with improbable opinions fed in, and improbable opinions fed out.

The three scientists use a simple formula using base-two logarithms to assess the CO2 influence on the atmosphere based on decades of laboratory experiments and atmospheric data collection. They demonstrate how trivial the effect on global temperature will be if humanity stops using hydrocarbons. After years wasted listening to Greta Thunberg, the message is starting to penetrate the political arena. In the United States, the Net Zero project is dead in the water if Trump wins the Presidential election. In Europe, the ruling political elites, both national and supranational, are retreating on their Net Zero commitments. Reality is starting to dawn and alternative political groupings emerge to challenge the comfortable insanity of Net Zero virtue signalling. In New Zealand, the nightmare of the Ardern years is being expunged with a roll back of Net Zero policies ahead of possible electricity black outs.

Only in Britain it seems are citizens prepared to elect a Government obsessed with self-inflicted poverty and deindustrialisation. The only major political grouping committed to scrapping Net Zero is the Nigel Farage-led Reform party and although it could beat the ruling Conservatives into second place in the popular vote, it is unlikely to secure many Parliamentary seats under the U.K.’s first-past-the-post electoral system. Only a few years ago the Labour leader Sir Keir Starmer, who thinks some women have penises, and his imbecilic Deputy Leader Angela Rayner, were bending the knee to an organisation that wanted to cut funding for the police and fling open the borders. The new British Parliament will have plenty of people who still support Net Zero and assorted woke woo woo, and the great tragedy is that they will still be found across most of the represented political parties.

UAH May 2024: NH Cooling by Land and Sea

Posted on June 21, 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 2024 we are seeing an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures.

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

May 2024 NH Ocean and Land Cool Down from Peaks

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 May 2024. Posts on their reading of ocean air temps this month comes after the May update from HadSST4. I posted last week on SSTs using HadSST4 Oceans Cooling May 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. Last 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. Then in March Ocean anomalies cooled while Land anomalies rose everywhere. After a mixed pattern in April, the May anomalies are back down led by a large drop in NH land, and a smaller ocean decline in all regions.

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 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 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 of 1.3C January to March 2024. In April that dropped to 1.2C. NH also spiked upward to a new high, while Global ocean rise was more modest due to slight SH cooling. In February, NH and Tropics cooled slightly, while greater warming in SH resulted in a small Global rise. Now in May NH has backed down from its peak, and along with SH also dropping, the Global anomaly fell to nearly match the January value.

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 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 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. Then in February and March SH anomaly jumped up nearly 0.7C, and Tropics went up to a new high of 1.5C, pulling up the Global land anomaly to match 10/2023. In April SH dropped sharply back to 0.6C, Tropics cooled very slightly, but NH land jumped up to a new high of 1.5C, pulling up Global land anomaly to its new high of 1.24C. Now in May that NH spike is reversed. Despite warming in Tropics and SH, the much larger NH land mass pulled the Global land anomaly back down to the February value.

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. After March and April took the Global anomaly to a new peak of 1.05C, in May it dropped to 0.90C. Where it goes from here, warming or cooling, 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.

Oceans Cooling May 2024

Posted on June 15, 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 May 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 2023, 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 2024 both Tropics and SH rose, resulting in 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. Since then in February and March all regions cooled bringing the Global anomaly back down 0.18C from its September peak. In April and now May Tropics cooled further, SH dropped down, so the Global anomaly declined despite NH rising. The next months will reveal the strength of 2024 NH warming spike, which could resemble summer 2020, or could rise to the 2023 level.

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, open image in new tab.

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.

Then in 2023 the Tropics flipped from below to well above average, while NH produced a summer peak extending into September higher than any previous year. Despite El Nino driving the Tropics January 2024 anomaly higher than 1998 and 2016 peaks, the last two months cooled in all regions, and the Tropics continued cooling in April and May, along with SH dropping, suggesting that the peak likely has been reached, though NH warming is the outlier.

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 current data. 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 declining. 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.

Now in 2024 the AMO anomaly started higher than any previous year, then leveled off for two months declining slightly into April. Remarkably, May shows an upward leap putting this on a higher track than 2023. The next months will show us if that warming strengthens or levels off.

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 1980-202404, value 0.39, also for the period 1997-2012. The red line is 2013-202404, value 0.66. 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

Good and Bad Climate Models Simply Put

Posted on May 28, 2024 by Ron Clutz

Thanks to John Shewchuk of ClimateCraze for explaining simply how climate models are evaluated and why most are untrustworthy in the above video. He also explains why worst performing model was prized rather than the one closest to the truth. Below is a synopsis of a discussion by Patrick Michaels on the same point.

Background: Nobel Prize for Worst Climate Model

Patrick J. Michaels reports at Real Clear Policy Nobel Prize Awarded for the Worst Climate Model. Excerpts in italics with my bolds and added images.

Given the persistent headlines about climate change over the years, it’s surprising how long it took the Nobel Committee to award the Physics prize to a climate modeler, which finally occurred earlier this month.

Indeed, Syukuro Manabe has been a pioneer in the development of so-called general circulation climate models (GCMs) and more comprehensive Earth System Models (ESMs). According to the Committee, Manabe was awarded the prize “For the physical modelling of the earth’s climate, quantifying variability, and reliably predicting global warming.”

What Manabe did was to modify early global weather forecasting models, adapting them to long-term increases in human emissions of carbon dioxide that alter the atmosphere’s internal energy balance, resulting in a general warming of surface temperatures, along with a much larger warming of temperatures above the surface over the earth’s vast tropics.

Unlike some climate modelers, like NASA’s James Hansen — who lit the bonfire of the greenhouse vanities in 1988, Manabe is hardly a publicity hound. And while politics clearly influences it (see Al Gore’s 2007 Prize), the Nobel Committee also respects primacy, as Manabe’s model was the first comprehensive GCM. He produced it at the National Oceanic and Atmospheric Administration’s Geophysical Fluid Dynamics Laboratory (GFDL) in Princeton NJ. The seminal papers were published in 1975 and 1980.

And, after many modifications and renditions, it is also the most incorrect of all the world’s GCMs at altitude over the vast tropics of the planet.

Getting the tropical temperatures right is critical. The vast majority of life-giving moisture that falls over the worlds productive midlatitude agrosystems originates as evaporation from the tropical oceans.

The major determinant of how much moisture is wafted into our region is the vertical distribution of tropical temperature. When the contrast is great, with cold temperatures aloft compared to the normally hot surface, that surface air is buoyant and ascends, ultimately transferring moisture to the temperate zones. When the contrast is less, the opposite occurs, and less moisture enters the atmosphere.

Every GCM or ESM predicts that several miles above the tropical surface should be a “hot spot,” where there is much more warming caused by carbon dioxide emissions than at the surface. If this is improperly forecast, then subsequent forecasts of rainfall over the world’s major agricultural regions will be unreliable.

That in turn will affect forecasts of surface temperature. Everyone knows a wet surface heats up (and cools down) slower than a dry one (see: deserts), so getting the moisture input right is critical.

Following Manabe, vast numbers of modelling centers popped up, mushrooms fertilized by public — and only public — money.

Every six years or so, the U.S. Department of Energy collects all of these models, aggregating them into what they call Coupled Model Intercomparison Projects (CMIPs). These serve as the bases for the various “scientific assessments” of climate change produced by the U.N.’s Intergovernmental Panel on Climate Change (IPCC) or the U.S. “National Assessments” of climate.

Figure 8: Warming in the tropical troposphere according to the CMIP6 models. Trends 1979–2014 (except the rightmost model, which is to 2007), for 20°N–20°S, 300–200 hPa. John Christy (2019)

In 2017, University of Alabama’s John Christy, along with Richard McNider, published a paper that, among other things, examined the 25 applicable families of CMIP-5 models, comparing their performance to what’s been observed in the three-dimensional global tropics. Take a close look at Figure 3 from the paper, in the Asia-Pacific Journal of Atmospheric Sciences, and you’ll see that the model GFDL-CM3 is so bad that it is literally off the scale of the graph. [See Climate Models: Good, Bad and Ugly]

At its worst, the GFDL model is predicting approximately five times as much warming as has been observed since the upper-atmospheric data became comprehensive in 1979. This is the most evolved version of the model that won Manabe the Nobel.

In the CMIP-5 model suite, there is one, and only one, that works. It is the model INM-CM4 from the Russian Institute for Numerical Modelling, and the lead author is Evgeny Volodin. It seems that Volodin would be much more deserving of the Nobel for, in the words of the committee “reliably predicting global warming.”

Might this have something to do with the fact that INM-CM4 and its successor models have less predicted warming than all of the other models?

Patrick J. Michaels is a senior fellow working on energy and environment issues at the Competitive Enterprise Institute and author of “Scientocracy: The Tangled Web of Public Science and Public Policy.”

Good News About Our Climate

Posted on May 28, 2024 by Ron Clutz

The Good News about Climate Change by Judith Curry

Is climate change an existential crisis? Judith Curry, former Chair of the School of Earth and Atmospheric Sciences at the Georgia Institute of Technology, has spent her career studying this question. Her answer might surprise you.

A good and recent example of climate and energy realism.

Transcript

Let’s start with the good news.

All things considered, planet Earth is doing fine. In fact, humans are doing better than at any other time in history. Over the last hundred years, when temperatures have warmed by about two degrees Fahrenheit:

Global population has increased by 6 billion people…

While Global poverty has substantially declined.

And the number of people killed from weather disasters has decreased by 97% on a per capita basis.

We are obviously not facing an existential crisis.

Anyone who tells you that we are is not paying attention to the historical data. Instead, they are concerned about what “might” happen in the future, based on predictions from inadequate climate models, driven by unrealistic assumptions.

I offer this positive diagnosis after a lifetime of study on the issue. Until recently, I was a professor of climate science and Chair of the School of Earth and Atmospheric Sciences at the Georgia Institute of Technology.

But it’s not all good news.

The biggest problem with climate change is not climate change, per se, it’s how we’re dealing with it.

We’re attempting to control the uncontrollable, at great cost, by urgently eliminating fossil fuels. We’ve failed to properly place the risks from climate change in context of other challenges the world is facing.

Climate change has become a convenient scapegoat. As a result, we’re neglecting the real causes of these problems.

There are countless examples, but let me give you just one.

Lake Chad in Africa is shrinking. Nigeria’s president Muhammadu Buhari blames it on you-know-what. “Climate change,” he pronounced, “is largely responsible for the drying up of Lake Chad…”

But it’s not.

Yes, the initial water level decline was caused by long droughts in the 1970s and 1980s. But the lake has remained virtually empty over the past two decades, even while rainfall has recovered. During this time, rivers flowing into the lake from Cameroon, Chad, and Nigeria have been diverted by government agencies to irrigate inefficient rice farms.

In short, climate change has little to do with the declining water level of Lake Chad. Instead, bad human decisions are the cause. Climate Change is just a convenient excuse, hiding poor management and governance.

Blaming every major weather disaster on man-made global warming defies common sense, as well as the historical data record.

For the past 50 years, the global climate has been fairly benign. In the US, the worst heat waves, droughts, and hurricane landfalls occurred in the 1930s—much worse than anything we’ve experienced so far in the 21st century.

Population growth, where and how people live, and how governments manage resources are much more likely to create conditions for a disaster than the climate itself. We’ve always had hurricanes, droughts, and floods, and we always will.

Maybe you think I’m being too cavalier about the dangers we face. Isn’t it true that 97% of scientists agree that humans are causing dangerous climate change?

Well, here’s what all climate scientists actually agree on:

• The average global surface temperature has increased over the last 150 years.

• Humans are adding carbon dioxide to the atmosphere by burning fossil fuels.

• And carbon dioxide emissions have a warming effect on the planet.

However, climate scientists disagree about the most consequential issues:

• How much warming is associated with our emissions

• Whether this warming is larger than natural climate variability.

• And how much the climate will change in the future.

There’s a lot that we still don’t understand about how the climate works. Ocean circulation patterns and variations in clouds have a large impact. But climate models do a poor job of predicting these. Variations in the sun and volcanic eruptions also have a substantial impact, but these are simply unpredictable.

The fact is, we can’t predict the future climate. It’s simply not possible. And everybody should acknowledge that. And every scientist does.

While humans do influence the climate, we can’t control the climate. To think we can is the height of hubris, the Greek word for overconfidence.

What we can do is adapt to whatever Mother Nature throws our way. Human beings have a long history of being very good at that. We can build sea walls, we can better manage our water resources, and implement better disaster warning and management protocols.

These are things we can control.

If we focus on that, there’s every reason to be optimistic about our future.

I’m Judith Curry for Prager University.

Footnote: Dr. Curry deals with alarmist pushback at her blog:

Fact checking the fact checkers on my Prager U video

Climate and Energy Realism

Posted on May 27, 2024 by Ron Clutz

Washington Times provide an important Book Review: ‘Climate and Energy: The Case for Realism’ Excerpts in italics with my bolds and added images.

Flipping the script on popular climate change narrative.

“Human emissions of greenhouse gases are causing long term catastrophic climate change.” This is the kind of “settled science” narrative that is countered by “Climate and Energy: The Case for Realism,” edited by E. Calvin Beisner and David R. Legates. Mr. Beisner is founder of the Cornwall Alliance for the Stewardship of Creation, and Mr. Legates, a veteran climatologist, is a senior fellow at the Cornwall Alliance.

There is much scientific evidence to challenge the climate change mantra. So, “why don’t you learn of climate realism from science journals or mainstream media?” The prologue to “Climate and Energy” answers this key question.

This aptly titled, cogent book further expands the real-world horizon of climate and energy knowledge and practice in 16 readable chapters.

These chapters cover the spectrum of climate and energy concerns. In addition to giving the history and politics of climate change, the book clearly explains the science of climate, climate models, the pertinence of the scientific method, and crucial aspects of the energy economy.

“Climate and Energy” clarifies the role of the sun, the oceans and the water cycle, and the clear and opaque connections between climate policy and energy economics, especially the economics that affect the poor in the developing world. After all, economists provide not only the budgetary balance to the climate change issue, but also broaden the understanding of the human toll of climate change.

Climate is largely set by water in all its forms: as liquid in oceans and clouds, as solid in ice sheets and snow, and as invisible vapor in air. In addition, as water changes phases, the process either cools or warms the atmosphere, depending on whether evaporation or condensation is occurring.

“Climate and Energy” addresses the role of water in climate change in lucid detail. For instance, climate scientist Roy Spencer discloses that water vapor is “the strongest of Earth’s greenhouse gases. Together with the clouds we see, water vapor accounts for about 75% of the greenhouse effect.” In addition, “the processes that limit how much water vapor accumulates in the atmosphere — precipitation — are not known in enough detail to predict how the weak direct-warming effect of CO2 will be either amplified or reduced by precipitation limits on water vapor.”

The book makes a strong case that the “uncertainties associated with water vapor, cloud, and precipitation processes regarding their impact on global warming estimates cannot be overemphasized.”

“Climate and Energy” includes further challenges to the oft-cited catastrophic climate change narrative such as discussions of the impact of urbanization on temperature records since the mid-1800s, when consistent, widespread surface-based measurements began, and the comparison of natural temperature oscillations with the established surface observations.

Not to be missed is the appendix prepared by Mr. Legates in which he provides individual synopses of 44 important historical scientific papers on climate change science, beginning with Svante Arrhenius’ 1896 work quantifying carbon dioxide’s impact on air temperatures.

The vast majority of papers explored are by authors who provide reasonable challenges to the popular climate storyline. The papers by these well-qualified atmospheric science and statistics authors were published in journals such as Science, Nature, Geophysical Research Letters and the Journal of Climate.

Subject matter includes early work on El Nino (the warming of ocean water off the coast of Peru that has a huge effect on weather across the globe including in the U.S.); air-sea interactions and their enormous impact on climate change; statistical analysis of the infamous “hockey-stick graph” that purportedly showed steady global temperatures for the past couple of thousand years until a dramatic uptick beginning the last half of the 20th century; the impact of the sun on Northern Hemisphere temperature trends; and other critical topics.

“Climate and Energy” is authored by exceptionally well-qualified climate scientists, economists and professionals immersed in climate and energy analysis and policy. The intelligent perspective delivered in this book is sorely needed to clear today’s climate change atmosphere polluted with too much politics and scientism. “Climate and Energy” proposes a return to hard science and solid reasoning when addressing one of the defining issues of our time.

Preface from Book Cover

Scientists and experts call it catastrophic. A U.S. president says it is “more frightening than a nuclear war.” Blamed for the deaths of millions, climate change is said to be an apocalyptic threat that requires government spending in the hundreds of trillions of dollars.

Anyone who dares to deny the “science” of climate change is banished to an intellectual gulag, but climate change policies shouldn’t be determined by a coterie of elites in New York or Davos. Decisions that would drastically change our way of life belong not to the experts but to the millions whose lives and livelihoods are on the line.

Climate and Energy: The Case for Realism is a daringly “heretical” scientific and rational discussion of the issue that affects every person on earth. Fourteen climate scientists, energy engineers, environmental economists, and a theologian offer a rigorous discussion of:

• The real causes of “global warming”
• How sensitive the climate actually is to greenhouse gases
• How the sun, oceans, clouds, and rain play a key role in climate change
• The benefits of human-generated CO2
• Why the abandonment of fossil fuels would leave developing countries perma nently impoverished and doom millions to an early death
• The failure of renewable energies—and the billion-dollar subsidies that fund them
• The ethics of climate and energy policy
• How climate change may actually leave man better off

Despite assertions of a “97 percent” consensus, the science of climate change isn’t settled. And neither are the policy solutions. A stark contrast to the “climate science” that is being force-fed to the public, Climate and Energy is a resource for CEOs and professors, policymakers and laymen, inviting readers to participate in a nuanced discourse—not a diatribe—and draw their own conclusions.

UAH April 2024: NH Pushes Global Warming by Land and Sea

Posted on May 24, 2024 by Ron Clutz

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