The Megacities Are Cooking

Guest Post by Willis Eschenbach

[OK, had to start over, had bad numbers for the areas. Graphics have been replaced. I was using “core area” but I should have been using “greater metropolitan area”. All conclusions are unchanged.]

I got to thinking about the phenomenon known as the “Urban Heat Island” effect, or UHI. Cities tend to trap heat due to the amount of black pavement and concrete sidewalks, the narrow canyons between buildings that slow down the wind, and the sides of the buildings reflecting sunlight downwards.

As a result, cities are often warmer than the surrounding countryside. In some cities, it’s hot enough that it affects the local weather. Here’s a simplified diagram:

Figure 1. A simple sketch of typical increases in temperature due to the Urban Heat Island effect.

What I was curious about, however, was another kind of urban heat effect. This is the heat from all of the energy used within the city—electricity, fuel for transport, fuel for heating buildings, all of it. Eventually, almost all energy ends up as heat. So I went and got the energy usage for 27 huge “megacities”, along with the area of the city itself. I then combined the two to give me a measure of citywide energy usage in watts per square metre (W/m2). As a measure for comparison with Figure 2 below, a doubling of CO2 is said to increase the “forcing”, the total radiant energy impinging on the surface, by 3.7 W/m2.

Figure 2. Additional forcing from direct energy use. The energy data is paywalled. The link is to SciHub’s copy of the paper. It may have a “CAPTCHA” that asks you in Russian to type in a word to prove you’re actually a humanoid. Just type it in, it’s not Putin in disguise.

This was surprising to me. I hadn’t expected the effect to be so large.

Finally, I converted the forcing to an equivalent warming. The Intergovernmental Panel on Climate Change (IPCC) fifth assessment report, completed in 2014, gave a likely “Transient Climate Response” of about 1°C to 2.5°C for each additional 3.7 W/m2 of forcing. I’ve used 1.5°C because the heat generation persists over time. As a result, the cities have had time to equilibrate to the additional heating. Figure 3 shows that result.

Figure 3. Nominal warming from the additional forcing due to direct energy use. Colors indicate that I don’t like boring graphs.

Not much more to say about all of that. Note that this is a “first cut” analysis, I make no overarching claims about the accuracy of the results. I’ve used conservative assumptions and the best data I could find. It looks to be a significant additional heating source due to direct energy usage in the densest of the largest cities, one that is not generally included in the calculations of the Urban Heat Island.


Here, I’m in the Forest Cool Island, life is good. I spent my morning crawling around under my house successfully putting a new “generator” into my floor furnace so we now have a warm house again, a less than pleasant job that came complete with a veritable plethora of bad words. Then I got out the pumice stone and scrubbed a toilet bowl until it sparkled, and this has been my afternoon project … do I know how to have fun, or what?

My very best wishes to each of you,

w.

[UPDATE] In the comments below, someone asked about human body heat and how that affects the forcing in megacities. Humans on average put out on the order of 120 watts continuously. Here’s how that plays out.

Figure 4. Additional forcing from the heat emitted 24/7 by the human body.

You can see how densely populated Seoul, South Korea is …

DATA: I’ve appended the data below, in comma-delimited form. PJ is petajoules, 10^15 joules.

City,                PJ,    km2,Population
Beijing,            952,   6562,  21516000
Buenos Aires,       702,  10888,   3054000
Cairo,              282,   1600,  10230000
Delhi,              316,   3182,  11034000
Dhaka,              350,   1353,   8906000
Guangzhou,         1474,   7711,  14043000
Istanbul,           464,   5500,  14025000
Jakarta,            589,   5100,  10075000
Karachi,            339,   1100,  14910000
Kolkata,             78,   1785,   4486000
Lagos,              350,   1535,    861000
London,            1065,  11391,   8825000
Los Angeles,       1848,  10780,   3884000
Manila,             918,   2521,   1780000
Mexico City,       1099,   7346,   9041000
Moscow,            1984,  14925,  12197000
Mumbai,             191,   2350,  12478000
New York,          2824,  17884,   8622000
Osaka,             1258,   6930,   2691000
Paris,              657,  17174,   2229000
Rio De Janeiro,     384,   4540,   6718000
Sao Paulo,          589,   8479,  12252000
Seoul,             1848,   5076,  10197000
Shanghai,          1644,   5177,  24256000
Shenzhen,           350,   3051,   8378000
Tehran,            1145,   9500,   8154000
Tokyo,             2438,   8014,  13839000
0 0 votes
Article Rating

Discover more from Watts Up With That?

Subscribe to get the latest posts sent to your email.

204 Comments
Inline Feedbacks
View all comments
Geoff Sherrington
January 16, 2020 8:15 pm

Nice work, Willis,
This fits comfortably with a boring, lengthy review of UHI that I posted on WUWT a year or so ago. My strong conclusion was that UHI is an effect that probably distorts land surface records unacceptably, but those in paid research that should research and correct it at trying to avoid it. Mostly, Though I did reference a few papers worth reading. Geoff S

jaymam
January 16, 2020 8:48 pm

Auckland city is the largest in NZ. Assuming that it is powered by NZ’s largest hydro power plant, I have always assumed that the city is warmed by the amount of power used. I have asked a number of people what would happen if the power to Auckland was cut and the water was allowed to run down the spillway. Would the river heat up? I reckon it would, and electrical engineers agree with me. Everybody else disagreed. Everybody else is wrong!

January 16, 2020 10:02 pm

“As a measure for comparison with Figure 2 below, a doubling of CO2 is said to increase the “forcing”, the total radiant energy impinging on the surface, by 3.7 W/m2.”

err no. That’s TOA

As for anthropogenic heating?

why guess when there is science?

data I have discussed before

http://www.cgd.ucar.edu/tss/ahf/

other stuff

https://www.nature.com/articles/sdata2017116

one of my favorite authors

https://www.sciencedirect.com/science/article/pii/S1352231015302156

The great thing is the vast vast major of GHCNV4 stations are not in urban areas.

There is large literature on this issue. No envelope backs required.

In fact if you read the primary literature on UHI, as any good researcher should do, you will find references in things called footnotes!

Reply to  Steven Mosher
January 17, 2020 5:09 am

The temperature meters don’t have to be *in* the urban areas, just down wind of them, in order to suffer from UHI.

January 16, 2020 11:14 pm

“It looks to be a significant additional heating source due to direct energy usage in the densest of the largest cities, one that is not generally included in the calculations of the Urban Heat Island.”

huh

The urban heat island is typically measured in one of two ways.

1. A comparison of an urban station with a nearby rural station.
2. A transect run across the city.

The Difficult job is ACCOUNTING FOR THE SOURCES OF THE EXCESS HEAT.

http://meteora.ucsd.edu/cap/docs/sailorandlu.pdf

One of the sources is from Anthropogenic heating.

So you want to know about Seoul? Well go study the science!!

https://link.springer.com/article/10.1007/s13143-015-0065-6

Willis: “It looks to be a significant additional heating source due to direct energy usage in the densest of the largest cities, one that is not generally included in the calculations of the Urban Heat Island.”

Science: “Anthropogenic heating by human activity is one of the key contributing factors in forming urban heat islands, thus inclusion of the heat source plays an important role in urban meteorological and environmental modeling. In this study, gridded anthropogenic heat flux (AHF) with high spatial (1-km) and temporal (1-hr) resolution is estimated for the whole South Korea region in year 2010 using a statistical regression method which derives based on similarity of anthropogenic air pollutant emissions and AHF in their emission inventories. The bottom-up anthropogenic pollutant emissions required for the regression method are produced using the intensive Korean air pollutants emission inventories. The calculated regression-based AHF compares well with the inventory-based AHF estimation for the Gyeong-In region, demonstrating that the statistical regression method can reasonably represent spatio-temporal variation of the AHF within the region. The estimated AHF shows that for major Korean cities (Seoul, Busan, Daegu, Gwangju, Daejeon, and Ulsan) the annual mean AHF range 10–50 Wm−2 on a grid scale and 20–30W m−2 on a city-scale. The winter AHF are larger by about 22% than that in summer, while the weekday AHF are larger by 4–5% than the weekend AHF in the major Korean cities. The gridded AHF data estimated in this study can be used in mesoscale meteorological and environmental modeling for the South Korea region.”

Willis: “It looks to be a significant additional heating source due to direct energy usage in the densest of the largest cities, one that is not generally included in the calculations of the Urban Heat Island.”

the science
http://www.meteo.fr/icuc9/LongAbstracts/gd5-1-2961311_a.pdf

“All cities emit heat into the planetary boundary layer. A small but important source of this heat is human
activity and its associated burning of fossil fuels for urban transport, industrial processing, and domestic
heating and cooling (Oke, 1982). Combustion processes in cities set the anthropogenic heat flux, which is
an important forcing term in models of the urban heat island effect and global climate change (Allen et al.,
2011; Flanner, 2009). In perhaps the earliest study to quantify the thermal effects of human activity on
urban climate, Eaton (1877) calculated the heat released from coal combustion in the Metropolitan District
of London in the late nineteenth century. Accounting also for the ‘vital heat’ of the city’s 3.5 million
inhabitants, Eaton predicted these sources to raise the air temperature in London by 1.4 K (cited in Garnett
and Bach, 1965). In a more detailed study, Ichinose et al. (1999) used numerical models to simulate air
temperature changes of > 2 K by these same effects during winter nights in central Tokyo.
Published estimates of anthropogenic heat release originate mostly from wealthy, mid-latitude cities such
as Tokyo and London, with few comparable estimates from cities of tropical or low-income regions. The
literature could therefore profit from a universal set of anthropogenic heat flux densities representing cities
of diverse geography, and having consistent methods of derivation. Herewith, we initiate the development
of such a dataset. Using an inventory approach, we calculate heat flux densities at metropolitan scale for
the world’s 27 megacities, i.e., urban agglomerations of more than 10 million people. The global distribution
of these cities—and our use of a common methodology—allows for regional insight into the economic,
climatic, and demographic influences on anthropogenic heat release in urban environments.”

Reply to  Steven Mosher
January 17, 2020 5:14 am

“The urban heat island is typically measured in one of two ways.

1. A comparison of an urban station with a nearby rural station.”

It’s not just sufficient to use a nearby rural station. The rural station has to be located outside the impact zone of the UHI.

Clyde Spencer
Reply to  Tim Gorman
January 18, 2020 12:12 pm

Tim
You said, “The rural station has to be located outside the impact zone of the UHI.” That means it has to be upwind, or orthogonal to the wind direction.

January 16, 2020 11:17 pm

Sorry the science is way ahead of you.

http://www.meteo.fr/icuc9/LongAbstracts/gd5-1-2961311_a.pdf

Joel Snider
Reply to  Steven Mosher
January 17, 2020 10:41 am

I see you’ve provided a clone to repeat your talking point – I’d say the propaganda is way ahead.

1sky1
Reply to  Steven Mosher
January 18, 2020 3:02 pm

To quote the given reference on its methodology:

The inventory approach equates sensible heat release with energy consumption

The bald assumption that ALL energy consumed produces ONLY heat–and no work or light–is symptomatic of Mosher’s grasp of “way ahead” science.

January 16, 2020 11:23 pm

Not sure what you are using for city areas.

city area can be defined two ways.

1. ADMINISTRATIVELY. the land the government defines as belonging to the city
2. BY LAND COVER. the land that actually represents the urban cover and not, for example, the
bordering regions which may or may not be administratively defined as being part of the city.

Reply to  Willis Eschenbach
January 17, 2020 5:35 am

As an engineer, if the readings before and after up to the next significant digit and go from there. That would truly be all the accuracy you could expect from that measurement device if aging has an impact on the readings.

The problem that causes for the CAGW alarmists is that this would make it impossible to see the heat increases they say we are having on a global basis. It’s why taking temperature measurements only accurate to the nearest degree or the nearest tenth of a degree and averaging them to produce a figure supposedly accurate to the nearest hundredth of a degree is such a joke! You simply cannot increase accuracy by implementing averages. 2+2 is not equal to 4.0!

Reply to  Willis Eschenbach
January 17, 2020 1:12 am

yes the science is STILL way ahead of you

http://www.meteo.fr/icuc9/LongAbstracts/gd5-1-2961311_a.pdf

You still dont get it.

We measure the UHI as a temperature differential.

say its 5C worst case.

PARTITIONING THAT into various causes has been worked on for ages

“All cities emit heat into the planetary boundary layer. A small but important source of this heat is human
activity and its associated burning of fossil fuels for urban transport, industrial processing, and domestic
heating and cooling (Oke, 1982). Combustion processes in cities set the anthropogenic heat flux, which is
an important forcing term in models of the urban heat island effect and global climate change (Allen et al.,
2011; Flanner, 2009). In perhaps the earliest study to quantify the thermal effects of human activity on
urban climate, Eaton (1877) calculated the heat released from coal combustion in the Metropolitan District
of London in the late nineteenth century. Accounting also for the ‘vital heat’ of the city’s 3.5 million
inhabitants, Eaton predicted these sources to raise the air temperature in London by 1.4 K (cited in Garnett
and Bach, 1965). In a more detailed study, Ichinose et al. (1999) used numerical models to simulate air
temperature changes of > 2 K by these same effects during winter nights in central Tokyo.
Published estimates of anthropogenic heat release originate mostly from wealthy, mid-latitude cities such
as Tokyo and London, with few comparable estimates from cities of tropical or low-income regions. The
literature could therefore profit from a universal set of anthropogenic heat flux densities representing cities
of diverse geography, and having consistent methods of derivation. Herewith, we initiate the development
of such a dataset. Using an inventory approach, we calculate heat flux densities at metropolitan scale for
the world’s 27 megacities, i.e., urban agglomerations of more than 10 million people. The global distribution
of these cities—and our use of a common methodology—allows for regional insight into the economic,
climatic, and demographic influences on anthropogenic heat release in urban environments.”

lastly read my words.

Do you understand what I MEANT by
“INCLUDING”
and what I MEANT by
“OTHER PHENOMENA.”

Anthropogenic heat flux is typically a small percentage of the cause of UHI.

So you are still behind on the science. do keep up

Clyde Spencer
Reply to  Willis Eschenbach
January 18, 2020 12:19 pm

Willis
If it walks like a duck, and quacks like a duck, …

MarkW
Reply to  Steven Mosher
January 17, 2020 4:45 pm

Ah yes, I see that steve is still trying to pull out the “you just don’t understand how science” works BS. It’s easier than actually trying to come up with an explanation that holds together mathematically.

Rune
Reply to  Steven Mosher
January 19, 2020 5:21 am

“and domestic heating and cooling (Oke, 1982)”

Raise your hands those of you who believe we use significantly more energy now than in 1982 for heating and cooling… I assume of course that all those power plants built in the mean time was built for a reason.

Bill Hankin
January 17, 2020 12:56 am

Willy, you have been tricked with BA’s. The Federal Capital of Buenos Aires has 3 million people.
But this is just the small central area. But the much larger entire mega city of BA’s has over 13 million people.
And there is a major heat island effect happening.I know because I lived there for 3 months in 2014 to learn & dance Tango,

January 17, 2020 5:39 am

“We measure the UHI as a temperature differential.”

What temperature differentials? Between urban thermometers and rural thermometers within the UHI impact zone? I.e. “nearby rural staitions”?

MarkW
Reply to  Tim Gorman
January 17, 2020 4:47 pm

Or rural stations that are well within the UHI zones of smaller cities outside the big cities.

Just because a station is listed as rural (or was listed in the data base 10 to 15 years ago as being rural) does not mean that the station is pure (nor does it mean that the station is still rural today).

Rudolf Huber
January 17, 2020 1:43 pm

I grew up in the Austrian countryside. Winters were snowy and cold. The landscape was the same as Vienna which was only 60km away. We went to the capital often to see family. Every time we went there we could see a pretty obvious change. Less snow and not as freezing as it was at home. The urban heat island at work. My father explained it to be in absolutely unscientific terms. It was a thing during his childhood as well and my father is pushing 85. Only now we seem to have forgotten about it and think the globe warms. Get out of the city …

January 17, 2020 3:59 pm

Again, it looks to me as though Mr. Eschenbach didn’t treat “forcing” correctly. I’ll provide an undoubtedly oversimplified, radiation-only analysis to explain why I think he may have erred. Executive summary: I think forcing takes its value from the top of the atmosphere, not from the surface.

So what do I think forcing is? Consider the usual case: forcing from CO2.

If from an equilibrium state the CO2 concentration somehow makes an abrupt quantum jump and the atmosphere’s infrared opacity therefore does, too, the effective radiation altitude will abruptly increase. Because of the lapse rate the new radiation altitude has a lower temperature than the old one, so outgoing radiation falls abruptly, changing an erstwhile radiation balance to an imbalance.

It’s that initial imbalance’s value that I think is the forcing value associated with the CO2-concentration increase. The imbalance would decay, of course, but it’s the initial imbalance value that remains as the value of the concentration change’s forcing; even though a new equilibrium is established for the new concentration, its forcing value remains the value of that initial imbalance.

How is the imbalance redressed? The imbalance causes the surface temperature to rise and (modulo any lapse-rate change) thereby increase the radiation-altitude temperature by the same amount until the radiation out returns to the radiation-in value. The value of that top-of-the-atmosphere initial imbalance is associated with the surface-temperature change needed to redress it.

However, the surface temperature changes from a value higher than that of the radiation-altitude temperature, so the surface-radiation increase that attends the surface-temperature increase exceeds radiation-altitude’s increase: it exceeds the initial radiation-altitude imbalance, i.e., the forcing. The surface-radiation increase may be, say, half again the forcing value.

It’s not clear to me that Mr. Eschenbach took this into account; I got the impression that he was going by surface, not top-of-the-atmosphere values. But if anyone has a different understanding, I’d love to hear it.

Patrick MJD
Reply to  Joe Born
January 17, 2020 8:18 pm

Sounds rubbish to me. How does CO2 “force” anything? What was it forcing at 280ppm/v? What is it forcing at 410ppm/v? Forcing as in the term used to describe something acting on something else it doesn’t normally do, right?

Reply to  Patrick MJD
January 18, 2020 7:18 am

Although I have certain reservations about the concept, you may want to read up on what radiative forcing is conventionally understood to mean: https://www.ipcc.ch/site/assets/uploads/2018/02/WG1AR5_Chapter08_FINAL.pdf

W Hogg
January 18, 2020 4:40 am

What is this “degrees C” you’re going on about? What’s is it in atom bombs / sec (the correct measure of AGW)?

HankHenry
January 18, 2020 8:16 am

“Cities tend to trap heat due to the amount of black pavement and concrete sidewalks, the narrow canyons between buildings that slow down the wind, and the sides of the buildings reflecting sunlight downwards.”

As a guy who remembers going barefoot and feeling cool grass versus hot sidewalks. I have to ask. Doesn’t the moisture of grass and soil play a role in making dry things hot and wet things cool? Cities with storm sewers tend to dry themselves quicker than most places.
“They paved paradise and put in a parking lot.”
I do know that technically minded people working on farm scale irrigation systems will tell you that wet soil equals cool and dry soil equals hot.

edT
January 18, 2020 10:55 am

In the 2000’s I was working in Crawley, Uk, the day the highest uk temperature record was set there. For those that don’t know Crawley is where Gatwick airport is. In the evening set off for my drive home around the m25 motorway, 6-10 lanes of carnage. Thermometer dropped from 32 to 30 to 27 deg C. Off the M25 up the M3 temperature dropped to 25. The m3 motorway in to london is bordered by rivers, lakes (old gravel pits) and reservoirs. Once into the suburbs where i lived temperature went up to 30C. That was 4 miles from heathrow where frequent annual records are set.

Thinking on the comments above about solar irradiance dwarfing human energy release and heat island effects, in an ideal stable climate wouldn’t energy emitted be less than incident energy?

From a thermodynamic perspective negative entropy should be observed by photosynthesis, other life forms and chemical and geological processes building higher order.

That would also suggest our global energy release is more significant than any forcing CO2 may cause.

Richard Hanson
January 19, 2020 2:06 pm

It looks to me that there is an error regarding the area and population data of Los Angeles. You have an area of 10,780 km2 with a population of 3.884 million. The 10,780 km2 is very close to a Wikipedia value of 10,510 km2 that represents the land area of Los Angeles County. However, the population of Los Angeles County is 9.8 million (est 2018 ). The 3.884 million might be an older City of Los Angeles value as the 2018 amount is 3.99 million with an area of 1,210 km2. The official Greater Los Angles area consists of 5 counties. I wouldn’t use this grouping as it is made up of large relatively sparsely populated areas of mountains and deserts. I think the more appropriate grouping would be the Los Angeles Metropolitan Area as it consists of just 2 counties, Los Angeles and Orange that are mainly urban, adjacent to one another, and consist of 12,362 km2 and 13,310,447 people.

Mechanik
January 22, 2020 6:14 pm

Willis, really enjoyed this article as it helped with a longstanding question I had about how much heat is produced by human civilization and how that compares to what we receive from the sun. I’m not there yet, but I think this helps validate that we are heating up locally, but not globally.

A couple of years ago, I was re-reading a science fiction novel that postulated an earth-like planet inhabited by trillions of human-sized beings. It further postulated that the heat generated by the beings, along with their industrial heat by-products was so great that they had to up move the planet away from the sun to maintain their lovely tropical climate. Since I first read this in maybe the 70’s, I wondered if it was possible for our leaking heat to cause this catastrophe.

With these numbers, it’s obvious that UHI contributes to local temperature reporting, which in turn inflates the models, which in turn inflates the rhetoric. I’m a bit disappointed, and correct me if I’m wrong, to see that the UHI contribution to heat, when spread across the entire planet (i.e. dive by planetary meters squared), is not significant.

On the other hand, if I extrapolate Seoul out to a 100x or 1000x globe-spanning megacity, the waste heat alone will make any GHG contribution meaningless.

Verified by MonsterInsights