Guest post by Willis Eschenbach
There’s a new study out from NOAA called “Probable maximum precipitation (PMP) and climate change”, paywalled of course, which claims that global warming will lead to a 20%-30% increase in “probable maximum precipitation”. The abstract says:
Probable Maximum Precipitation (PMP) is the greatest accumulation of precipitation for a given duration meteorologically possible for an area. Climate change effects on PMP are analyzed, in particular, maximization of moisture and persistent upward motion, using both climate model simulations and conceptual models of relevant meteorological systems. Climate model simulations indicate a substantial future increase in mean and maximum water vapor concentrations. For the RCP8.5 scenario, the changes in maximum values for the continental United States are approximately 20–30% by 2071–2100. The magnitudes of the maximum water vapor changes follow temperature changes with an approximate Clausius-Clapeyron relationship. Model-simulated changes in maximum vertical and horizontal winds are too small to offset water vapor changes. Thus, our conclusion is that the most scientifically sound projection is that PMP values will increase in the future due to higher levels of atmospheric moisture content and consequent higher levels of moisture transport into storms.
When I heard that number, a 20%-30% increase in maximum rainfalls, my urban legend detector starting ringing like crazy.
Figure 1. The authors’ guess at how much more rain will be falling by the end of the century.
So … why did my urban legend detector go off from this claim? It has to do with energy.
The press release quotes the authors as saying:
“We have high confidence that the most extreme rainfalls will become even more intense, as it is virtually certain that the atmosphere will provide more water to fuel these events,” said Kenneth Kunkel, Ph.D., senior research professor at CICS-NC and lead author of the paper.
Now, the increase in maximum rainfall is said by the authors to be due to the increase in water vapor in the air. It’s unclear if the 30% increase in maximum rainfall will be matched by a corresponding overall increase in rainfall. However, it is highly unlikely that an increase in water vapor will only increase maximum rainfall events. The authors themselves say that their projections show “a substantial future increase in mean and maximum water vapor concentrations”.
So to be conservative, let’s cut the 30% increase in maximum water vapor down to a 20% increase in mean water vapor, and see what that looks like.
I want to determine how much energy we’re talking about here. Suppose the rainfall were to go up (on average) by about 20% globally. Right now, the globally averaged rainfall is on the order of a metre of rain over the entire surface per year, a bit more or less depending on who is measuring. Twenty percent of that is 200 mm. So we need to evaporate an additional 200 mm over every square metre of surface to produce the stated increase in rain.
It takes 2260 joules of energy to evaporate a gram of water. For each square metre we need to evaporate 200 mm, or 200 kg of water. To evaporate that much water takes 4.52e+8 (452,000,000) joules of energy.
Now, a joule is a watt-second. We need 4.52e+8 joules of energy every year to evaporate the additional water, which is 4.52e+8 watt-seconds per year. Dividing that by the number of seconds in a year (3.16e+7) gives us the change in constant 24/7 watts needed to evaporate that much water. Remember, this is an increase in the constant watts of energy striking every square metre of the planet.
And that number, dear friends, the amount of additional energy needed to increase global evaporation and thus rainfall) by 20%, turns out to be 14.3 W/m2. That’s about the amount of energy increase from three doublings of CO2. Yes, CO2 would have to go from the current ~400 ppmv to about 3,200 ppmv to provide that much extra forcing …
So my urban legend detector is still working fine. There’s nowhere near enough energy available to power that claimed jump in rainfall.
Now, I could leave it there, since the energy necessary to make their claims possible doesn’t exist. But in order to confirm that finding, my plan of further inquiry was to see whether either the intensity of rainfall events or the mean rainfall has changed over the last century. People are always claiming that we don’t have any controls for our experiments when we study nature. But nature provides its own experiments. To start with, we have the warming since 1900. On land, according the Berkeley Earth Surface Temperature data, the temperature has gone up about a degree over that time … but did the rainfall go up as well?

Figure 2. Global precipitation over the land, in mm/day. Data Source 1901-2009: CRU TS 3.10.01 (land)
OK … no increase at all in global rainfall, neither in the monthly means nor in the maximums. So no support for their claims there.
So how about local maximum rainfall events? Are those going up?
For this, we can turn to the temperature and precipitation records of England. For the Central England region, we have daily temperatures and daily precipitation records since 1931. Since 1931, the average Central England Temperature (CET) record has gone up by just under one full degree. So we should see any thermal effect on the maximum rainfall. With that 1°C temperature rise as the backdrop, here’s the maximum central England daily rainfalls, month by month, for the last eighty years.
Figure 3. Maximum daily rainfall, 1931-2012, Central England. Data Source Photo Source
Here, we find the same thing. There is no evidence of any increase in maximum rainfall events, despite a 1° temperature rise.
Hmmm …
The part I really don’t like in all of this is that once again, all of their claims are built on computer models. But what I don’t find is any serious testing of their whiz-bang models against things like the global or the CET temperature and rainfall records. In fact, I don’t see any indication in any venue that any computer models are worth a bucket of warm spit when it comes to rainfall. Computer models are known to perform horribly at hindcasting rainfall, they do no better than chance.
So once again, we’re back in the land of Models All The Way Down. I gotta confess, this kind of thing is getting old. NOAA and NASA appear to be falling further and further behind reality, still churning out useless studies based on useless models.
Just one more waste of taxpayers money.
w.
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They can’t let go, Willis, it’s all they’ve got.
Willis, I have a problem with the research being paywalled. I take it that the study was financed by taxpayer dollars supporting NOAA – it should be free access. Is money, in the form of paywall fees, owed the U.S. Treasury?…,
Oh, no, it’s ….you know the rest. But weren’t we told, at least here in Oz by ‘Climate Commissioner’ Tim Flannery that we had entered the era of ‘permanent drought’? Instead we have record rains.
Willis, if you were a real climate scientist you would have used a proxy (manipulated) for daily rainfall instead of using actual data.
“It takes 2260 joules of energy to evaporate a gram of water.” Willis, you have fallen in a modeler’s trap – that is the number models use. It is correct only at a freezing point (0C, 32F). It changes by about 1% for every 10 degrees C.
Willis, shouldn’t one of these be different?…..or did I eat too much chocolate again!
“It’s unclear if the 30% increase in maximum rainfall will be matched by a corresponding overall increase in rainfall.”
…who would have thought that temperatures staying the same, or slightly decreasing…….would be so dangerous
Once again, conclusions by models contradicting historical evidence. Whatever happened to the idea of empiricism in science?
Gil Russell says:
April 6, 2013 at 5:09 pm
At least it’s getting better. The US just announced that all federally funded research must be made available one year after it is published.
Not ideal, but better …
Thanks,
w.
We are having a record draught here in New Zealand.
Where is our 20%-30% increase in “probable maximum precipitation”?
The UK is still waiting for milder winters, dry summers and the disappearance of snow.
I am now convinced they make it up as they go….
Good analysis, Willis. Even using conservative numbers they come out looking like idiots. And, you didn’t even mention that the temperature differential problem. If there’s a decrease in uplift the storms won’t be as intense.
Correction: Models use the value of 2500 for 0 degrees C. 2260 is correct for 100 degrees C. So your numbers actually underestimate the energy needed. Apologies.
So each cubic centimeter of raindrops represents 2260 joules hauled up and dumped high in the atmosphere and unable to contribute to global warming down here where we live. More heat, more rain, less warming.
Thanks Willis. Wouldn’t all that extra evaporation transfer heat to where some would be lost causing a negative feedback or self-limiting system? I am probably influenced by your writing about the same. Your elegant-as-usual dissection is complete without further foray.
The part I really don’t like about this Willis is they use “high confidence” to describe their projection based on a computer model that is predicting a fairly extreme change over a fairly short time span.
If there were enough energy in our addition of CO2 to the atmosphere to just evaporate all of the water they refer to, wouldn’t that mean that there would be no energy left over to warm the atmosphere (no global warming)?
Doesn’t most of the energy come back when the water vapor condenses?
Nice take-down Willis, and just from their results it is clear where at least part of their model failure must originate. If the speed of the rain-cycle were as sensitive to warming as they estimate the cooling effect of this speed-up would constitute a huge negative climate feedback, greatly moderating the amount of warming. Obviously they still aren’t modeling those “thermostat” effects.
I am confused. Wasn’t drought and desertification the scary boogeyman of warmists until a few years ago?
More climate model nonsense. Climate models say global precipitation should have increased since 1979, but precipitation decreased:
http://bobtisdale.files.wordpress.com/2012/12/figure-21.png
From the following post:
http://bobtisdale.wordpress.com/2012/12/27/model-data-precipitation-comparison-cmip5-ipcc-ar5-model-simulations-versus-satellite-era-observations/
Regards
Steve Keohane says:
April 6, 2013 at 5:35 pm
Thanks Willis. Wouldn’t all that extra evaporation transfer heat to where some would be lost causing a negative feedback or self-limiting system? I am probably influenced by your writing about the same. Your elegant-as-usual dissection is complete without further foray.
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Yeah, that was my first thought too. No free lunches; if the energy is being burned driving more rain, it seems counter intuitive that it should also be available to drive up temperatures.
Well if Tamino can have his own album (which looks like it has at least 100 tracks by now – see Tamino thread), maybe these guys could have their own album too.
I’ll start with Duran Duran’s “Hold Back the Rain”
(Hope you don’t mind a bit of levity Willis. Great post by the way).
I thought you mucked about with boats and stuff. What on Earth are you thinking with this stuff? Clinical and undrstandable work. Much appreciated.
Good analysis Willis. I think I commented previously that rainfall appears to be a Poisson distribution (one can not have less than zero rainfall and in my area the SD is very close to the average.) Thus, if a model is using normal probabilities it is out for a start. I find that rainfall in my area is cyclical. Using a five year running average from 1890 to 2013 I find that there was exactly 100 years between the minimum rainfall at 1904 (during the much noted Australian Federation drought) and 2004 during the recently ended (in 2008) drought which all the alarmists blamed on global warming and many predicted (eg T Flannery- Climate Commissioner) that dams would not fill again and desalination plants were required (instead we have had floods and the desalination plants are rusting away not used). Looking at actual peak rainfall, the highest annual rainfalls occurred in 1893 & 1898 and were over 1000mm more than any other annual total since. Peak rainfall seems to occur in cycles of about 11 years. Many older people and farmers know about the11 year cycle. The same cycle appears to occur for bushfires. I lived in another area prone to bushfires. There were bushfires in 1980, 1991 & 2001-2. Twice we fought fires around the house to save it. Unfortunately, 11 years is enough time for people to forget
“We are having a record draught here in New Zealand.
Where is our 20%-30% increase in “probable maximum precipitation”?”
And of course Niwa says that this is climate change and we have to expect that such droughts will become the norm. However there’s a trap here and its recognised by Niwa and other warmers.. how to have extended droughts plus still have all that pesky rain?.. answer, make the rain more intense!
So eventually our monthly climate stats will show 30 brilliant fine and ever warmer days.. with a downpour of six inches of rain in the final hour before midnight on the final day of the month! Mission accomplished 🙂
JC
“… assume a spherical raindrop…”
Back when global warming was actually happening, it didn’t cause increased rainfall, but now that it’s not happening it could cause almost anything!
You know how much energy it takes to evaporate all those cats and dogs? 🙂