Unified Theory of Climate: Reply to Comments

Foreword – I’ve had this document since January 17th, and it has taken some time to get it properly reproduced here in full due to formatting issues. Some equations have to be converted to images, and I have to double check every superscript, subscript, and symbol for accuracy, then re-insert/re-format many manually since they often don’t reproduce properly in WordPress. WordPress doesn’t manage copy/paste of complex documents well. I hope that I have everything correctly reproduced, if not, please leave a note. A PDF of the original is here: UTC_Blog_Reply_Part1 This is a contentious issue, and while it would be a wonderful revelation if it were proven to be true, I personally cannot see any way it can surmount the law of conservation of energy. That view is shared by others, noted in the opening paragraph below. However, I’m providing this for the educational value it may bring to those who can take it all in and discuss it rationally, with a caution – because this issue is so contentious, I ask readers to self-moderate so that the WUWT moderation team does not have to be heavy handed. I invite you take it all in, and to come to your own conclusion. Thank you for your consideration. – Anthony

Part 1: Magnitude of the Natural ‘Greenhouse’ Effect

Ned Nikolov, Ph.D. and Karl Zeller, Ph.D.

  1. Introduction

Our recent paper “Unified Theory of Climate: Expanding the Concept of Atmospheric Greenhouse Effect Using Thermodynamic Principles. Implications for Predicting Future Climate Change” spurred intense discussions at WUWT and Tallbloke’s Talkshop websites. Many important questions were raised by bloggers and two online articles by Dr. Ira Glickstein (here) and Dr. Roy Spencer (here). After reading through most responses, it became clear to us that that an expanded explanation is needed. We present our reply in two separate articles that address blog debate foci as well as key aspects of the new paradigm.

Please, consider that understanding this new theory requires a shift in perception! As Albert Einstein once noted, a new paradigm cannot be grasped within the context of an existing mindset; hence, we are constrained by the episteme we are living in. In that light, our concept requires new definitions that may or may not have exact counterparts in the current Greenhouse theory. For example, it is crucial for us to introduce and use the term Atmospheric Thermal Effect (ATE) because: (a) The term Greenhouse Effect (GE) is inherently misleading due to the fact that the free atmosphere, imposing no restriction on convective cooling, does not really work as a closed greenhouse; (b) ATE accurately coveys the physical essence of the phenomenon, which is the temperature boost at the surface due to the presence of atmosphere; (c) Reasoning in terms of ATE vs. GE helps broaden the discussion beyond radiative transfer; and (d) Unlike GE, the term Atmospheric Thermal Effect implies no underlying physical mechanism(s).

We start with the undisputable fact that the atmosphere provides extra warmth to the surface of Earth compared to an airless environment such as on the Moon. This prompts two basic questions: (1) What is the magnitude of this extra warmth, i.e. the size of ATE ? and (2) How does the atmosphere produce it, i.e. what is the physical mechanism of ATE ? In this reply we address the first question, since it appears to be the crux of most people’s difficulty and needs a resolution before proceeding with the rest of the theory (see, for example, Lord Monckton’s WUWT post).

  1. Magnitude of Earth’s Atmospheric Thermal Effect

We maintain that in order to properly evaluate ATE one must compare Earth’s average near-surface temperature to the temperature of a spherical celestial body with no atmosphere at the same distance from the Sun. Note that, we are not presently concerned with the composition or infrared opacity of the atmosphere. Instead, we are simply trying to quantify the overall effect of our atmosphere on the surface thermal environment; hence the comparison with a similarly illuminated airless planet. We will hereafter refer to such planet as an equivalent Planetary Gray Body (PGB).

Since temperature is proportional (linearly related) to the internal kinetic energy of a system, it is theoretically perfectly justifiable to use meanglobal surface temperatures to quantify the ATE. There are two possible indices one could employ for this:

  1. The absolute difference between Earth’s mean temperature (Ts) and that of an equivalent PGB (Tgb), i.e. ATE = TsTgb; or
  1. The ratio of Ts to Tgb. The latter index is particularly attractive, since it normalizes (standardizes) ATE with respect to the top-of-atmosphere (TOA) solar irradiance (So), thus enabling a comparison of ATEs among planets that orbit at various distances from the Sun and receive different amounts of solar radiation. We call this non-dimensional temperature ratio a Near-surface Thermal Enhancement (ATEn) and denote it by NTE = Ts / Tgb. In theory, therefore, NTE should be equal or greater than 1.0 (NTE ≥ 1.0). Please, note that ATEn is a measure of ATE.

It is important to point out that the current GE theory measures ATE not by temperature, but by the amount of absorbed infrared (IR) radiation. Although textbooks often mention that Earth’s surface is 18K-33K warmer than the Moon thanks to the ‘greenhouse effect’ of our atmosphere, in the scientific literature, the actual effect is measured via the amount of outgoing infrared radiation absorbed by the atmosphere (e.g. Stephens et al. 1993; Inamdar & Ramanathan 1997; Ramanathan & Inamdar 2006; Houghton 2009). It is usually calculated as a difference (occasionally a ratio) between the total average infrared flux emanating at the surface and that at the top of the atmosphere. Defined in this way, the average atmospheric GE, according to satellite observations, is between 157 and 161 W m-2 (Ramanathan & Inamdar 2006; Lin et al. 2008; Trenberth et al. 2009). In other words, the current theory uses radiative flux units instead of temperature units to quantify ATE. This approach is based on the preconceived notion that GE works by reducing the rate of surface infrared cooling to space. However, measuring a phenomenon with its presumed cause instead by its manifest effect can be a source of major confusion and error as demonstrated in our study. Hence, we claim that the proper assessment of ATE depends on an accurate estimate of the mean surface temperature of an equivalent PGB (Tgb).

  1. Estimating the Mean Temperature of an Equivalent Planetary Gray Body

There are two approaches to estimate Tgb – a theoretical one based on known physical relationships between temperature and radiation, and an empirical one relying on observations of the Moon as the closest natural gray body to Earth.

According to the Stefan-Boltzmann (SB) law, any physical object with a temperature (T, oK) above the absolute zero emits radiation with an intensity (I, W m-2) that is proportional to the 4th power of the object’s absolute temperature:

image

where ϵ is the object’s thermal emissivity/absorptivity (0 ≤ ϵ ≤ 1 ), and σ = 5.6704×10-8 W m-2 K-4 is the SB constant. A theoretical blackbody has ϵ = 1.0, while real solid objects such as rocks usually have ϵ ≈ 0.95. In principle, Eq. (1) allows for an accurate calculation of an object’s equilibrium temperature given the amount of absorbed radiation by the object, i.e.

image

The spatially averaged amount of solar radiation absorbed by the Earth-Atmosphere system (Sα ̅̅̅, W m-2) can be accurately computed from TOA solar irradiance (Sα ̅̅̅, W m-2) and planetary albedo (αp) as

image

where the TOA shortwave flux (W m-2) incident on a plane perpendicular to the solar rays. The factor ¼ serves to distribute the solar flux incident on a flat surface to a sphere. It arises from the fact that the surface area of a sphere (4πR2) is 4 times larger than the surface area of a disk (πR2) of the same radius (R). Hence, it appears logical that one could estimate Earth’s average temperature in the absence of ATE from using the SB law. i.e.

image

Here (TeK) is known as the effective emission temperature of Earth. Employing typical values for S0 =W m-2 and αp = 0.3 and assuming, ϵ  = 1.0 Eq. (3) yields 254.6K. This is the basis for the widely quoted 255K (-18C) mean surface temperature of Earth in the absence of a ‘greenhouse effect’, i.e. if the atmosphere were missing or ‘completely transparent’ to IR radiation. This temperature is also used to define the so-called effective emission height in the troposphere (at about 5 km altitude), where the bulk of Earth’s outgoing long-wave radiation to space is assumed to emanate from. Since Earth’s mean surface temperature is 287.6K (+14.4C), the present theory estimates the size of ATE to be 287.6K – 254.6K = 33K. However, as pointed out by other studies, this approach suffers from a serious logical error. Removing the atmosphere (or even just the water vapor in it) would result in a much lower planetary albedo, since clouds are responsible for most of Earth’s shortwave reflectance. Hence, one must use a different albedo (αp) in Eq. (3) that only quantifies the actual surface reflectance. A recent analysis of Earth’s global energy budget by Trenberth et al. (2009) using satellite observations suggests αp≈ 0.12. Serendipitously, this value is quite similar to the Moon bond albedo of 0.11 (see Table 1 in our original paper), thus allowing evaluation of Earth’s ATE using our natural satellite as a suitable PGB proxy. Inserting= 0.12 in Eq. (3) produces Te = 269.6K, which translates into an ATE of only 18K (i.e. 287.6 – 269.6 = 18K).

In summary, the current GE theory employs a simple form of the SB law to estimate the magnitude of Earth’s ATE between 18K and 33K. The theory further asserts that the Moon average temperature is 250K to 255K despite the fact that using the correct lunar albedo (0.11) in Eq. (3) produces ≈270K, i.e. a15K to 20K higher temperature! Furthermore, the application of Eq. (3) to calculate the mean temperature of a sphere runs into a fundamental mathematical problem caused by Hölder’s inequality between non-linear integrals (e.g. Kuptsov 2001). What does this mean? Hölder’s inequality applies to certain non-linear functions and states that, in such functions, the use of an arithmetic average for the independent (input) variable will not produce a correct mean value of the dependent (output) variable. Hence, due to a non-linear relationship between temperature and radiative flux in the SB law (Eq. 3) and the variation of absorbed radiation with latitude on a spherical surface, one cannot correctly calculate the mean temperature of a unidirectionally illuminated planet from the amount of spatially averaged absorbed radiation defined by Eq. (2). According to Hölder’s inequality, the temperature calculated from Eq. (3) will always be significantly higher than the actual mean temperature of an airless planet. We can illustrate this effect with a simple example.

Let’s consider two points on the surface of a PGB, P1 and P2, located at the exact same latitude (say 45oN) but at opposite longitudes so that, when P1 is fully illuminated, P2 is completely shaded and vice versa (see Fig. 1). If the PGB is orbiting at the same distance from the Sun as Earth and solar rays were the only source of heat to it, then the equilibrium temperature at the illuminated point would be (assuming a solar zenith angle θ = 45o), while the temperature at the shaded point would be T2 = 0 (since it receives no radiation due to cosθ < 0). The mean temperature between the two points is then Tm = (T1 + T2)/2 = 174.8K. However, if we try using the average radiation absorbed by the two points W m-2 to calculate a mean temperature, we obtain = 234.2K. Clearly, Te is much greater than Tm (TeTm), which is a result of Hölder’s inequality.

image

Figure 1. Illustration of the effect of Hölder’s inequality on calculating the mean surface temperature of an airless planet. See text for details.

The take-home lesson from the above example is that calculating the actual mean temperature of an airless planet requires explicit integration of the SB law over the planet surface. This implies first taking the 4th root of the absorbed radiative flux at each point on the surface and then averaging the resulting temperature field rather than trying to calculate a mean temperature from a spatially averaged flux as done in Eq. (3).

Thus, we need a new model that is capable of predicting Tgb more robustly than Eq. (3). To derive it, we adopt the following reasoning. The equilibrium temperature at any point on the surface of an airless planet is determined by the incident solar flux, and can be approximated (assuming uniform albedo and ignoring the small heat contributions from tidal forces and interior radioactive decay) as

image

where is the solar zenith angle (radian) at point , which is the angle between solar rays and the axis normal to the surface at that point (see Fig. 1). Upon substituting , the planet’s mean temperature () is thus given by the spherical integral of , i.e.

image

Comparing the final form of Eq. (5) with Eq. (3) shows that Tgb << Te in accordance with Hölder’s inequality. To make the above expression physically more realistic, we add a small constant Cs =0.0001325 W m-2 to So, so that when So = 0.0, Eq. (5) yields Tgb = 2.72K (the irreducible temperature of Deep Space), i.e:

image

In a recent analytical study, Smith (2008) argued that Eq. (5) only describes the mean temperature of a non-rotating planet and that, if axial rotation and thermal capacity of the surface are explicitly accounted for, the average temperature of an airless planet would approach the effective emission temperature. It is beyond the scope of the current article to mathematically prove the fallacy of this argument. However, we will point out that increasing the mean equilibrium temperature of a physical body always requires a net input of extra energy. Adding axial rotation to a stationary planet residing in a vacuum, where there is no friction with the external environment does not provide any additional heat energy to the planet surface. Faster rotation and/or higher thermal inertia of the ground would only facilitate a more efficient spatial distribution of the absorbed solar energy, thus increasing the uniformity of the resulting temperature field across the planet surface, but could not affect the average surface temperature. Hence, Eq. (6) correctly describe (within the assumption of albedo uniformity) the global mean temperature of any airless planet, be it rotating or non-rotating.

Inserting typical values for Earth and Moon into Eq. (6), i.e. So = 1,362 W m-2, αo = 0.11, and ϵ = 0.955, produces Tgb = 154.7K. This estimate is about 100K lower than the conventional black-body temperature derived from Eq. (3) implying that Earth’s ATE (i.e. the GE) is several times larger than currently believed! Such a result, although mathematically justified, requires independent empirical verification due to its profound implications for the current GE theory. As noted earlier, the Moon constitutes an ideal proxy PGB in terms of its location, albedo, and airless environment, against which the thermal effect of Earth’s atmosphere could be accurately assessed. Hence, we now turn our attention to the latest temperature observations of the Moon.

  1. NASA’s Diviner Lunar Radiometer Experiment

In June 2009, NASA launched its Lunar Reconnaissance Orbiter (LRO), which carries (among other instruments) a Radiometer called Diviner. The purpose of Diviner is to map the temperature of the Moon surface in unprecedented detail employing measurements in 7 IR channels that span wavelengths from 7.6 to 400 μm. Diviner is the first instrument designed to measure the full range of lunar surface temperatures, from the hottest to the coldest. It also includes two solar channels that measure the intensity of reflected solar radiation enabling a mapping of the lunar shortwave albedo as well (for details, see the Diviner Official Website at http://www.diviner.ucla.edu/).

Although the Diviner Experiment is still in progress, most thermal mapping of the Moon surface has been completed and data are available online. Due to time constraints of this article, we did not have a chance to analyze Diviner’s temperature data ourselves. Instead, we elected to rely on information reported by the Diviner Science Team in peer-reviewed publications and at the Diviner website.

Data obtained during the LRO commissioning phase reveal that the Moon has one of the most extreme thermal environments in the solar system. Surface temperatures at low latitudes soar to 390K (+117C) around noon while plummeting to 90-95K (-181C), i.e. almost to the boiling point of liquid oxygen, during the long lunar night (Fig. 2). Remotely sensed temperatures in the equatorial region agree very well with direct measurement conducted on the lunar surface at 26.1o N by the Apollo 15 mission in early 1970s (see Huang 2008). In the polar regions, within permanently shadowed areas of large impact craters, Diviner has measured some of the coldest temperatures ever observed on a celestial body, i.e. down to 25K-35K (-238C to -248C). It is important to note that planetary scientists have developed detailed process-based models of the surface temperatures of Moon and Mercury some 13 years ago (e.g. Vasavada et al. 1999). These models are now being successfully validated against Diviner measurements (Paige et al. 2010b; Dr. M. Siegler at UCLA, personal communication).

What is most interesting to our discussion, however, are the mean temperatures at various lunar latitudes, for these could be compared to temperatures in similar regions on Earth to evaluate the size of ATE and to verify our calculations. Figure 3 depicts typical diurnal courses of surface temperature on the Moon at four latitudes (adopted from Paige et. al 2010a).

image

Figure 2. Thermal maps of the Moon surface based on NASA’s Diviner infrared measurements showing daytime maximum and nighttime minimum temperature fields (Source: Diviner Web Site).

image

Figure 3. Typical diurnal variations of the Moon surface temperature at various latitudes. Local time is expressed in lunar hours which correspond to 1/24 of a lunar month. At 89◦ latitude, diurnal temperature variations are shown at summer and winter solstices (adopted from Paige et al. 2010a). Dashed lines indicate annual means at the lunar equator and at the poles.

image

image

Figure 4. Temperature maps of the South Pole of the Moon and Earth: (A) Daytime temperature field at peak illumination on the Moon; (B) Nighttime temperature field on the Moon; (C) Mean summer temperatures over Antarctica; (D) Mean winter temperatures over Antarctica. Numbers shown in bold on panels (C) and (D) are temperatures in oK. Panels (A) and (B) are produced by the Diviner Lunar Radiometer Experiment (Paige et al. 2010b). Antarctica maps are from Wikipedia (http://en.wikipedia.org/wiki/Antarctic_climate). Comparison of surface temperatures between Moon’s South Pole and Antarctica suggests a thermal enhancement by the Earth atmosphere (i.e. a ‘Greenhouse Effect’) of about 107K in the summer and 178K in the winter for this part of the Globe.

Figures 4A & 4B display temperature maps of the Moon South Pole during daytime peak illumination and at night (Paige et. al 2010b). Since the Moon has a small obliquity (axial tilt) of only 1.54o and a slow rotation, the average diurnal temperatures are similar to seasonal temperature means. These data along with information posted at the Diviner Science webpage indicate that mean temperature at the lunar-surface ranges from 98K (-175C) at the poles to 206K (-67C) at the equator. This encompasses pretty well our theoretical estimate of 154.7K for the Moon mean global temperature produced by Eq. (6). In the coming months, we will attempt to calculate more precisely Moon’s actual mean temperature from Diviner measurements. Meanwhile, data published by NASA planetary scientists clearly show that the value 250K-255K adopted by the current GE theory as Moon’s average global temperature is grossly exaggerated, since such high temperature means do not occur at any lunar latitude! Even the Moon equator is 44K – 49K cooler than that estimate. This value is inaccurate, because it is the result of an improper application of the SB law to a sphere while assuming the wrong albedo (see discussion in Section 2.1 above)!

Similarly, the mean global temperatures of Mercury (440K) and Mars (210K) reported on the NASA Planetary Fact Sheet are also incorrect, since they have been calculated from the same Eq. (3) used to produce the 255K temperature for the Moon. We urge the reader to verify this claim by applying Eq. (3) with data for solar irradiance (So) and bond albedo (αo) listed on the fact sheet of each planet while setting ϵ = 1. This is the reason that, in our original paper, we used 248.2K for Mercury, since that temperature was obtained from the theoretically correct Eq. (6). For Mars, we adopted means calculated from regional data of near-surface temperature and pressure retrieved by the Radio Science Team at Stanford University employing remote observations by the Mars Global Surveyor spacecraft. It is odd to say the least that the author of NASA’s Planetary Fact Sheets, Dr. David R. Williams, has chosen Eq. (3) to calculate Mars’ average surface temperature while ignoring the large body of high-quality direct measurements available for the Red Planet!?

So, what is the real magnitude of Earth’s Atmospheric Thermal Effect?

Table 1. Estimated Atmospheric Thermal Effect for equator and the poles based on observed surface temperatures on Earth and the Moon and using the lunar surface as a proxy for Earth’s theoretical gray body. Data obtained from Diviner’s Science webpage, Paige at al. (2010b), Figure 4, and Wikipedia:Oymyakon.

image

Figure 5. Earth’s mean annual near-surface temperature according to Wikipedia (Geographic Zones: http://en.wikipedia.org/wiki/Geographical_zone).

Table 1 shows observed mean and record-low surface temperatures at similar latitudes on Earth and on the Moon. The ATE is calculated as a difference between Earth and Moon temperatures assuming that the Moon represents a perfect PGB proxy for Earth. Figure 5 displays a global map of Earth’s mean annual surface temperatures to help the reader visually verify some of the values listed in Table 1. The results of the comparison can be summarized as follows:

The Atmospheric Thermal Effect, presently known as the natural Greenhouse Effect, varies from 93K at the equator to about 150K at the poles (the latter number represents an average between North- and South- Pole ATE mean values, i.e. (158+143)/2 =150.5. This range encompasses quite well our theoretical estimate of 133K for the Earth’s overall ATE derived from Eq. (6), i.e. 287.6K – 154.7K = 132.9K.

Of course, further analysis of the Diviner data is needed to derive a more precise estimate of Moon’s mean surface temperature and verify our model prediction. However, given the published Moon measurements, it is clear that the widely quoted value of 33K for Earth’s mean ATE (GE) is profoundly misleading and wrong!

  1. Conclusion

We have shown that the SB Law relating radiation intensity to temperature (Eq. 1 & 3) has been incorrectly applied in the past to predict mean surface temperatures of celestial bodies including Mars, Mercury, and the Moon. Due to Hölder’s inequality between non-linear integrals, the effective emission temperature computed from Eq. (3) is always significantly higher than the actual (arithmetic) mean temperature of an airless planet. This makes the planetary emission temperature Te produced by Eq. (3) physically incompatible with any real measured temperatures on Earth’s surface or in the atmosphere. By using a proper integration of the SB Law over a sphere, we derived a new formula (Eq. 6) for estimating the average temperature of a planetary gray body (subject to some assumptions). We then compared the Moon mean temperature predicted by this formula to recent thermal observations and detailed energy budget calculation of the lunar surface conducted by the NASA Diviner Radiometer Experiment. Results indicate that Moon’s average temperature is likely very close to the estimate produced by our Eq. (6). At the same time, Moon measurements also show that the current estimate of 255K for the lunar average surface temperature widely used in climate science is unrealistically high; hence, further demonstrating the inadequacy of Eq. (3). The main result from the Earth-Moon comparison (assuming the Moon is a perfect gray-body proxy of Earth) is that the Earth’s ATE, also known as natural Greenhouse Effect, is 3 to 7 times larger than currently assumed. In other words, the current GE theory underestimates the extra atmospheric warmth by about 100K! In terms of relative thermal enhancement, the ATE translates into NTE = 287.6/154.7 = 1.86.

This finding invites the question: How could such a huge (> 80%) thermal enhancement be the result of a handful of IR-absorbing gases that collectively amount to less than 0.5% of total atmospheric mass? We recall from our earlier discussion that, according to observations, the atmosphere only absorbs 157 – 161 W m-2 long-wave radiation from the surface. Can this small flux increase the temperature of the lower troposphere by more than 100K compared to an airless environment? The answer obviously is that the observed temperature boost near the surface cannot be possibly due to that atmospheric IR absorption! Hence, the evidence suggests that the lower troposphere contains much more kinetic energy than radiative transfer alone can account for! The thermodynamics of the atmosphere is governed by the Gas Law, which states that the internal kinetic energy and temperature of a gas mixture is also a function of pressure (among other things, of course). In the case of an isobaric process, where pressure is constant and independent of temperature such as the one operating at the Earth surface, it is the physical force of atmospheric pressure that can only fully explain the observed near-surface thermal enhancement (NTE). But that is the topic of our next paper… Stay tuned!

  1. References

Inamdar, A.K. and V. Ramanathan (1997) On monitoring the atmospheric greenhouse effect from space. Tellus 49B, 216-230.

Houghton, J.T. (2009). Global Warming: The Complete Briefing (4th Edition). Cambridge University Press, 456 pp.

Huang, S. (2008). Surface temperatures at the nearside of the Moon as a record of the radiation budget of Earth’s climate system. Advances in Space Research 41:1853–1860 (http://www.geo.lsa.umich.edu/~shaopeng/Huang07ASR.pdf)

Kuptsov, L. P. (2001) Hölder inequality. In: Encyclopedia of Mathematics, Hazewinkel and Michiel, Springer, ISBN 978-1556080104.

Lin, B., P. W. Stackhouse Jr., P. Minnis, B. A. Wielicki, Y. Hu, W. Sun, Tai-Fang Fan, and L. M. Hinkelman (2008). Assessment of global annual atmospheric energy balance from satellite observations. J. Geoph. Res. Vol. 113, p. D16114.

Paige, D.A., Foote, M.C., Greenhagen, B.T., Schofield, J.T., Calcutt, S., Vasavada, A.R., Preston, D.J., Taylor, F.W., Allen, C.C., Snook, K.J., Jakosky, B.M., Murray, B.C., Soderblom, L.A., Jau, B., Loring, S., Bulharowski J., Bowles, N.E., Thomas, I.R., Sullivan, M.T., Avis, C., De Jong, E.M., Hartford, W., McCleese, D.J. (2010a). The Lunar Reconnaissance Orbiter Diviner Lunar Radiometer Experiment. Space Science Reviews, Vol 150, Num 1-4, p125-16 (http://www.diviner.ucla.edu/docs/fulltext.pdf)

Paige, D.A., Siegler, M.A., Zhang, J.A., Hayne, P.O., Foote, E.J., Bennett, K.A., Vasavada, A.R., Greenhagen, B.T, Schofield, J.T., McCleese, D.J., Foote, M.C., De Jong, E.M., Bills, B.G., Hartford, W., Murray, B.C., Allen, C.C., Snook, K.J., Soderblom, L.A., Calcutt, S., Taylor, F.W., Bowles, N.E., Bandfield, J.L., Elphic, R.C., Ghent, R.R., Glotch, T.D., Wyatt, M.B., Lucey, P.G. (2010b). Diviner Lunar Radiometer Observations of Cold Traps in the Moon’s South Polar Region. Science, Vol 330, p479-482. (http://www.diviner.ucla.edu/docs/paige_2010.pdf)

Ramanathan, V. and A. Inamdar (2006). The Radiative Forcing due to Clouds and Water Vapor. In: Frontiers of Climate Modeling, J. T. Kiehl and V. Ramanthan, Editors, (Cambridge University Press 2006), pp. 119-151.

Smith, A. 2008. Proof of the atmospheric greenhouse effect. Atmos. Oceanic Phys. arXiv:0802.4324v1 [physics.ao-ph] (http://arxiv.org/PS_cache/arxiv/pdf/0802/0802.4324v1.pdf ).

Stephens, G.L., A. Slingo, and M. Webb (1993) On measuring the greenhouse effect of Earth. NATO ASI Series, Vol. 19, 395-417.

Trenberth, K.E., J.T. Fasullo, and J. Kiehl (2009). Earth’s global energy budget. BAMS, March:311-323

Vasavada, A. R., D. A. Paige and S. E. Wood (1999). Near-surface temperatures on Mercury and the Moon and the stability of polar ice deposits. Icarus 141:179–193 (http://www.gps.caltech.edu/classes/ge151/references/vasavada_et_al_1999.pdf)

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George E. Smith;
January 27, 2012 3:00 pm

Just a note related to a post much higher up, wherein Ralph, who has been watching the weather for 30 years said I was wrong on so many levels, in saying that clouds don’t produce positive feedback. Basically I refuted the long held meteorologist argument that clouds at night warm the surface.
You know how it goes; the six PM weather geek on T&V tells you that there are some high clouds so it is going to be a warm muggy night. Everybody and his mother in law knows from anecdotal self evidence, that high clouds and warm nights go hand in hand.
Every now and then one of them explains that it is a bit more complicated.
High clouds at night warm the surface, and low clouds at night cool the surface, and intermediate clouds at night neither warm not cool the surface. It’s part of what they learn in Meteorology school.
On rare occasions, one of them may point you to some standard meteorology text book, as one of them did to me,so I could actually read the book on Amazon,com
So I looked at his reference, and sure enough there was the tell tale graph. Specifically, the graph had an X-axis from 0 to 100 % of cloud cover, and a Y-axis of Temperature increase or decrease, and sure enough there were three graphs there.
One graph for some intermediate altitude showed that the Temperature went neither up nor down as the cloud cover went from zero to 100% cover.
Above that was an upward sloping line that showed with more cloud cover you got more temperature rise; while below it was a graph for a lower altitude that showed you got more cooling with more cloud cover for low altitude clouds.
Oddly enough all three graphs did not have the same origin. So when you have ZERO cloud cover, the Temperature depends on whether you have ZERO cloud cover at a high altitude, or whether the ZERO cloud cover isn’t at an intermediate altitude, and finally with no cloud cover not being at some lower altitude you get a cooler Temperature.
Assuming that the physics of this is regular, one would expect that at altitudes in between these three test altitudes you would get intermediate results so that the lower the low cloud the cooler it would get, and the higher the high cloud the warmer it will get.
I don’t dispute these data, after all they are in a major meteorological text book.
Besides Ralph has been watching the weather for 30 years so we can take his word for it.
Now one other important thing that Ralph told us;and he did point it out to me specifically, there is NO SUN at night time; and he was only talking about the weather AT NIGHT
So we must remember THERE IS NO SUN OR SOLAR ENERGY IN THIS PICTURE.
So on the first night, I have no clouds, so I get the normal cooling, since there is no sun to stop that.
On the second night, I have a continuous intermediate cloud cover, and I get the same surface Temperature all night as the first night.
On the third night, I have a very low all sky cloud cover; just a few hundred feet, so there is absolutely no LWIR EM radiation going to make it through that cloud; so it all gets absorbed and then re-emitted half downward; and now I find that the Temperature gets much colder than it did the previous two nights; it’s like if you put the blanket on the bed, instead of on the ceiling it is going to cool you down.
On the fourth night, I have a continuous layer of high cloud at 20,000 feet, and now I find, just as predicted; excuse me, that’s projected, the temperature remains much warmer all night long than it was the night before with the low cloud cover.
Now you see how easy this is, you don’t have to watch the weather for 30 years to understand this; you just have to read the right text books.
The dense low layer of water bearing cloud stops virtually ALL of the LWIR emission from the surface, and sends about half od it back down to the ground to keep you colder all night.
A much higher more ethereal cloud layer with very little water content by comparison, will stop only a small portion of the LWIR radiation from the ground and return half of that so with less LWIR returned to the ground you will be much warmer at night.
I know this is very hard to understand, and it would be easier to understand if we introduced the sun into the situation but as Ralph made a point to tell me, there is no sun at night.
I also posted a derivation which got garbled and regarbled twice, so neither post has it correct, despite that both claim they do, but the gist of it was simply
Given axiom #1 that nights with clouds are warmer than nights without clouds, as everybody knows, and axiom #2 that on cloudy nights it cools down much slower than on nights without clouds, as everybody also knows; then on the following morning (twilight), the cloudy night started off warmer and cooled less, so it will be much warmer than the morning twilight after a cloudless night.
But given those two axioms, I showed, that the daytime Temperature before sunset, must be warmer, for the cloudy night case, than for the cloudless night case.
So the reason it is warmer on cloudy nights than cloudless nights, is because it was warmer the day before, and it was that warmer day particularly after rain that both made the high clouds, and also made it warmer on the cloudy night. The clouds themselves have nothing to do with it; they are the result of the warm day/night, and not the cause of it.
And I don’t care how many meteorology text books claim otherwise.

hotrod (larry L)
January 27, 2012 3:06 pm

George E. Smith; says:
January 25, 2012 at 10:04 am
It is ALWAYS warmer on a cloudy night,than on a cloudless night, because it was warmer during the previous day time, and those warmer conditions at night and the clouds themselves are the result of that simple fact; the clouds are NOT the cause of the warmer night, they are the consequence of the warmer day.

There is another contributing factor in play as well. A layer of moist air close enough to saturation temperature (allowing the formation of clouds) also has more heat capacity that the same thickness of atmosphere at a lower humidity due to the high specific heat of the water vapor.
As the more moist air cools, it condenses out more and more water, which as it condenses releases its latent heat of vaporization, turning potential energy into thermal kinetic energy.
Just like a pan of water will hold at the boiling temperature of the water until all the water is boiled away, a parcel of moist air will hold at the dew point of saturation until all the moisture is condensed out to form fog/clouds. This puts a kink in the temperature curve as the air cools at night. It cools at the normal rate consistent with its specific heat until it begins to condense out water droplets, but even though it is losing heat energy the temperature will stabilize at the dew point temperature until most of the water vapor is condensed out to liquid.
It would be more correct to say that night air cools more slowly if it is moist enough to form clouds. The slow cooling is not due to the radiation characteristics of the clouds so much as due to the stored energy available in the moist air’s reservoir of latent heat of vaporization.
Larry

George E. Smith;
January 27, 2012 3:28 pm

Note to Dewitt Payne,
Thanks for the heads up; it’s nice to know what people do/did
I know nowt about plasmas, other than the correct spelling. When I studied BB and like, thermal radiation, which was 55 years ago, the Kirchoff condition was derived in terms of a cavity filled with material and thermal radiation, and I can’t rightly say I remember LTE being involved.
I understand that at higher temps the collision rates and energies will be higher so earlier terminations of excited states, and also that the higher energies will lead to more collision induced excited states as distinct from photon capture events; but as to why those rates must be equal escapes me. I can see that absent any LWIR from somewhere else that collision induced excitations would increase with Temperature; but it seems that a photon induced (LWIR) excited state can be terminated by a low energy collision that would ot create a collision induced excited state.
In any case, I’m going to take your word for it, and then try to figure out for myself why that is so; that’s how I learn.
In any case it gets me when people apply Kirchoff as if it applies universally all the time to anything emitting or absorbing.
The oceans which give a pretty good imitation of a black body, pretty much absorbing all (98%) of sunlight; yet I don’t see the oceans emitting a bright white light all the time. Kichoff’s law must have been repealed without telling me.

January 27, 2012 3:31 pm

DeWitt Payne says:
January 27, 2012 at 2:18 pm
George E. Smith; says:
January 27, 2012 at 1:56 pm
“Now you can’t have it both ways. Either removing a given molecule from the count of excited molecules reduces the rate of emission or it doesn’t.”
Sure I can. The reason is that for every molecule that is de-excited by collision, another is excited, keeping the total number constant. That’s required by MB statistics and LTE.

Except in the case we’re dealing with we’re de-exciting a ro-vibrational state with a collision (there’s no requirement that a collision will produce the same ro-vibrational state as has been de-excited). If you collide an excited CO2 molecule with an N2 molecule, you’ll lose an excited CO2 and gain an excited N2 which won’t emit. Excite some molecules in a gas cell with a focussed laser beam, vary the pressure and you’ll find that the rate of emission will drop as you raise the pressure by adding a diluent gas (e.g. N2).

January 27, 2012 3:39 pm

George E. Smith; says:
January 27, 2012 at 3:28 pm
Note to Dewitt Payne,
Thanks for the heads up; it’s nice to know what people do/did
I know nowt about plasmas, other than the correct spelling. When I studied BB and like, thermal radiation, which was 55 years ago, the Kirchoff condition was derived in terms of a cavity filled with material and thermal radiation, and I can’t rightly say I remember LTE being involved.
I understand that at higher temps the collision rates and energies will be higher so earlier terminations of excited states, and also that the higher energies will lead to more collision induced excited states as distinct from photon capture events; but as to why those rates must be equal escapes me. I can see that absent any LWIR from somewhere else that collision induced excitations would increase with Temperature; but it seems that a photon induced (LWIR) excited state can be terminated by a low energy collision that would ot create a collision induced excited state.
In any case, I’m going to take your word for it, and then try to figure out for myself why that is so; that’s how I learn.
In any case it gets me when people apply Kirchoff as if it applies universally all the time to anything emitting or absorbing.
The oceans which give a pretty good imitation of a black body, pretty much absorbing all (98%) of sunlight; yet I don’t see the oceans emitting a bright white light all the time. Kichoff’s law must have been repealed without telling me.

George, Kirchoff’s Law says emissivity at a wavelength = absorptivity at the same wavelength.
So if seawater has an absorptivity of 0.98 at 500 nm then its emissivity at 500nm will be 0.98, trouble is that that would only come into play at a temperature around 5,000K!

Spector
January 28, 2012 3:59 am

Just for reference, here is the basic greenhouse theory calculation:
The radiant energy flow or power from the sun at the Earth’s orbit is known as the ‘solar constant.’ It has a typical value of 1361 W/m². According to the Stefan-Boltzmann formula, this is the characteristic power emitted (per square meter) from a surface having a temperature of 393.6 degrees K or 120.5 degrees C.
Next, an *assumed* optical reflection factor of about 29.9 percent reduces the power being absorbed across the disk of solar radiation blocked by the Earth to an average of 953.9 W/m², which has a characteristic emission temperature of 360.1 degrees K or 87.0 degrees Celsius. This reflection value comes from the 102/341 ratio on the left side of the 2009 version of the Kiehl-Trenberth, Energy Balance Diagram. (All values on that diagram are referenced to the Earth’s spherical surface area.) It must be assumed that this reflection coefficient may depend on temperature and water content on the Earth.
http://www.agci.org/classroom/images/trenberth_energy.png
The next factor that is applied is the 25 percent ratio of the area of the solar radiation interception disk to the area of the spherical surface of the Earth. In this calculation, that reduces the required average power emission from the surface of the Earth to about 238.5 W/m², which has a characteristic emission temperature of 254.7 degrees K or minus 18.6 degrees Celsius. This is the equilibrium average power emission required for stable conditions on the surface of the Earth.
The complicated 2009 Kiehl-Trenberth diagram shows the Earth being warm enough to emit an average of 396 W/m², which has a characteristic emission temperature of 289.1 degrees K or 15.9 degrees Celsius. The point here is that the Earth’s surface is continually emitting an average of about 157.5 W/m² more power by thermal radiation *alone* than it is receiving from the sun–that is, ignoring the extra power also lost by convection and evaporation. A long-wave, infrared radiation blocking, atmosphere is required to prevent the escape of this excess radiated power to outer space. That means an atmosphere containing greenhouse gases or equivalent long-wave infrared radiation blocking agents. One might contest the exact values of some of these numbers, but the overall requirement remains the same.
Compression heating by gravity is a one-time event, but thermal radiation is continuous. The second law of thermodynamics does not prevent the escape of radiation to outer space, nor does it prevent back radiation returning from a cooler region, as long as there is more forward radiation being emitted from the warm region. Thermodynamic heat flow is the net result of both forward and back radiation.
I believe that these attempted assertions of the nonexistence of the greenhouse effect serve only to enshroud skeptics of the hypothetical severe danger presented by anthropogenic carbon dioxide in the atmosphere with a wrapper of obviously ignorant pseudo-scientific nonsense. The devil is in the details, not in the basic greenhouse effect theory itself.
It does appear, however, that there has been a tendency, when presenting the results of these energy balance relationships, to gloss-over the difference between a fixed temperature equivalent to an average outgoing radiated power level (W/m²) and an average temperature.

DeWitt Payne
January 28, 2012 1:04 pm

Phil. says:
January 27, 2012 at 3:31 pm
Excite some molecules in a gas cell with a focussed laser beam, vary the pressure and you’ll find that the rate of emission will drop as you raise the pressure by adding a diluent gas (e.g. N2).
You’ve violated LTE by using a laser beam. The CO2 molecules will have a higher total energy than the nitrogen molecules locally so MB statistics don’t apply. The reverse is true for an analytical plasma torch. Many more photons are being emitted than are absorbed because the plasma is optically thin so the plasma is not in LTE either. I’m tempted to subscribe to Spectralcalc again and calculate some emission spectra for CO2 at constant temperature and partial pressure but different mixing ratios with air. I would expect to see line broadening at lower mixing ratios (higher pressure), but not a significant change in total emission.

February 1, 2012 2:21 pm

Thanks for the fantastic posts. I have been following you for a while on my rss reader, thought i would make the effort to say THANK YOU these days.

February 3, 2012 7:12 pm

DeWitt Payne says:
January 28, 2012 at 1:04 pm
Phil. says:
January 27, 2012 at 3:31 pm
Excite some molecules in a gas cell with a focussed laser beam, vary the pressure and you’ll find that the rate of emission will drop as you raise the pressure by adding a diluent gas (e.g. N2).
You’ve violated LTE by using a laser beam. The CO2 molecules will have a higher total energy than the nitrogen molecules locally so MB statistics don’t apply.

As they do in the atmosphere, you will always have a population of excited CO2 molecules due to absorption of IR, what’s their fate? In the lower atmosphere to lose energy by collisions mostly. I find no persuasive argument that a deactivating collision will automatically promote another molecule to the same excited state as you assert, could you elaborate on how you think that would work?

February 8, 2012 11:38 am

Just for grins, google “rgb beowulf”. The hit count is way down because the old beowulf archives aren’t active much any more, but it is still pretty respectable.
You’re *that* rgb. Seems to me you could reproduce the vaunted climate supercomputers using some variation of a beowolf cluster. Of course, they’d have to supply source code, although I suspect the data (manipulation) is critical, judging by the HARRY READ ME.txt collection. Don’t see any partial differential equations, Mathematica, etc.

LdB
February 28, 2012 8:56 am

I had tears rolling down my eyes reading this … sorry you have a massive problem with this theory, at least as many as problems you claim the original has.
Start at the beginning with 1859 with Kirchhoff realizing that if you put a hole in the side of a box then it is a good absorber because only radiation entering the hole has very little chance of getting back out. He realized by reversal that if you placed a hot object in the box what came out of the hole must be the radiation of the temperature.
Kirchhoff challenged theorists and experimentalists to work the energy/frequency curve for this “cavity radiation”, being German he called it hohlraumstrahlung. (where hohlraum means hollow room or cavity, strahlung is radiation).
Stefan-Boltzmann law is a direct derivative of that analysis you can’t integral it or any of the other stupidities in this article. The S-B law is directly derived from a black box you want to make a gray box fine now deal with those complications properly. A gray box >> IS NOT < http://piers.org/piersonline/pdf/Vol1No6Page691to694.pdf
I have no problem you don’t like the black box approximation work done in climate science but please this garbage is as bad as what you claim you are trying to fix.

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