Why Albedo is the Wrong Measure of Reflectivity for Modeling Climate

Guest essay by Clyde Spencer

The total reflectivity of Earth is important in energy budget calculations and in Global Circulation Models used to predict climate. If the value used is too low, it will contribute to models predicting more warming than is correct. I’ll demonstrate below why measured albedo is in fact too low as an estimate of total reflectivity.

One frequently sees reference to the nominal 30% albedo of Earth with respect to the energy budget and alleged anthropogenic global warming. Although, the CRC Handbook of Chemistry and Physics lists a value of 36.7% in recent editions. Albedo is a measure of the apparent reflectivity, of visible light, of celestial bodies such as the moon, Mars, and asteroids. This works well to estimate the type of surface cover and particle size for objects with only bare rocks and regolith. To properly measure albedo over an observed hemisphere, the sun, measured body, and the observer (Earthlings!) should be in approximate alignment. Earth’s albedo is estimated by measuring the albedo of the moon (12%) during a Full Moon, and then measuring the Earthshine near the time of a New Moon. This measurement mostly captures diffuse-reflectance of vegetation, soil, regolith, and especially clouds. However, it includes some minor specular reflections from smooth objects (such as rocks, but especially water waves) whose surfaces are oriented such that incoming rays reflect towards the moon.

However, the illuminated portion of the Earth will always be slightly different, varying with time and location of the measurements, and this probably contributes to the observed variation in measured albedo over time. Because the moon is not in the plane of the ecliptic, any measurements of Earthshine over time are going to be from different viewing angles, and of different regions of Earth’s surface, along with changes resulting from weather and seasons. That is, the albedo, as estimated from Earthshine measurements, can be expected to vary considerably for geometric reasons. These measurements provide an apparent reflectivity integrated over an entire hemisphere of the Earth.

Now, I say “apparent” reflectivity because not all light arriving at Earth is reflected back towards the sun. Albedo is, at best, a lower-bound on the amount of light reflected from Earth. It would only be appropriate to use if Earth were completely covered by clouds, like Venus (albedo = 65%), or completely covered by regolith, like Mars (albedo = 15%), with no water, clouds, or vegetation.

Additionally, albedo is an instantaneous measurement. To the extent that vegetation and clouds change with the seasons, a further, more complicated correction has to be made for those effects to derive an annual average.

For purposes of illustration (or perhaps I should say illumination) consider what the situation would be if Earth were a Hollywood Waterworld (ala Kevin Kostner). Assume that there is only a sediment-free ocean, no clouds, and gentle winds, minimizing whitecaps. Water strongly reflects specularly (as any fisherman or sailer knows only too well), in contrast to the strong diffuse-reflectance of most other things on Earth.

Specular-reflectance is quantitatively calculated with Fresnel’s Reflectance Equation ,using the index of refraction and the extinction coefficient (sometimes called absorption coefficient), which constitute the Complex Refractive Index (CRI). The index of refraction that most readers are probably familiar with is defined simply as the ratio of the speed of light in a vacuum to the speed of light in the material being measured. The extinction coefficient for water varies with wavelength – being larger for red and infrared than the other end of the spectrum – but we can consider it to be negligible for the following illustration. Thus, the CRI for water has an imaginary component that can be considered to be zero. This somewhat simplifies calculations. The CRI varies with temperature, salinity, and the wavelength of the incident light. I’ve used an approximation (n = 1.34) for typical seawater at 550nm wavelength, which is the peak emission of sun light.

Remember that the angle of reflection equals the angle of incidence, where incidence is measured from the surface normal. Assume that we are looking at our Waterworld from a geostationary orbit and that this Waterworld is a perfect sphere instead of the oblate spheroid (Geoid) that the real Earth is. Light is coming from the sun in rays that are parallel at this distance. A ray hitting normal to the surface of the water has an angle of incidence of 0°. All other rays intercepting the surface of the illuminated hemisphere have larger angles of incidence, out to a maximum of 90° at the limbs, or terminator. Ninety degrees is grazing the surface; there is 100% reflectance, and the character of the light is spectroscopically the same as the source (the sun).

The graph below shows what the reflectance is for all angles of incidence for seawater. Note that above about 40° the reflectance starts to rise noticeably, by 60° the reflectance is rising sharply, and above 79° it is above the nominal albedo (30%) commonly cited in Global Warming energy budget discussions.

albedo-seawater

Figure 1. Total Reflectivity of seawater

From the position of the geostationary satellite, looking down, one would see a spot of light reflecting back from the bundle of rays approximately normal to the surface of the water. That would be about 2% reflectance. Everything else would look black, save for some random white caps reflecting some flashes of light. However, that doesn’t mean that all the light is being absorbed! The orbital position would just be wrong for observing the light reflected out into space, away from the sun. The rays hitting at greater distances from the normal ray will experience a larger angle of incidence because of the curvature of the Waterworld. Thus, they will experience a greater percentage of reflectance. The importance of this is that as the reflectance increases with increasing angle of incidence, the absorption, and thus warming, decreases proportionately.

Fresnel’s equation is not integrated easily in its native form; at least I’m not up to it! A 6th-degree polynomial gives a reasonably good fit, which would allow me to somewhat mechanistically integrate it and obtain the area under the curve. However, some readers have expressed objections to high-order polynomials for fitting curves. I think it has something to do with a phobia about wiggling elephant trunks. Therefore, I took the easy way out and just weighed the total area of the graph on paper, and then cut out the area under the curve and weighed it. The ratio of the two weights gives the proportion of the two areas.

The area under the reflectance curve for seawater (Fig. 1, above) is about 9%. Because the sun moves with a constant angular velocity, the value is the time-averaged reflectance of a point on the surface of Waterworld for a 6-hour period. That means that for any particular spot on the surface of the ocean, starting at the terminator at sunrise, on the Equator, it would have an initial instantaneous reflectance of 100%. As the planet rotates under the sun, the percentage of light reflected from the point will decrease until it reaches the minimum of ≈2% at local solar noon. The process will then be reversed until the point again reaches maximum reflectance at the position of the sunset terminator. The total light reflected from that point, over a nominal 12-hour sunlit period, will be about 18% of the incident light. This is more than twice the value listed for the diffuse-reflectance of water and is in the range of values given for vegetation.

Furthermore, it should be noted that a point on the terminator at sunrise, at 60° latitude (N&S), would experience a decline in reflectivity until local noon, just as at the equator, but it will never get below six percent! The minimum reflectivity increases with increasing latitude, leading to larger average reflectances.

However, that doesn’t adequately describe the situation because the surface areas with the greatest reflectivity have larger areas than the lowest reflectivity areas. Because the Earth is rotating, it is important where the water is with respect to land and clouds. While an average reflectivity value may be useful for an initial first-order approximation, the variation with time/location has to be taken into account for accurate modeling.

I also did a discreet summation of the frustums of a hemisphere (Af = 2πR DX). Multiplying the normalized (to a unit area for the hemisphere) frustum areas by the average reflectivity for the angle of incidence, for each of the frustums, gives the area-weighted reflectivity for each frustum. Summing them gives an area-weighted average reflectivity of about 18%. This is the instantaneous area-averaged reflectance over a hemisphere. This is almost an order of magnitude larger than the sunlight reflected from a small spot on the surface of the ocean directly below the local noon sun during an equinox. It is far greater than the apparent albedo (≪2%) of our hypothetical Waterworld!

Even on the real Earth, these specular-reflection effects are significant because about 71% of the surface is covered by water, which NASA claims has a reflectance of about six percent. That means the actual total reflectivity of Earth must be higher than the estimate of diffuse reflectivity obtained from Earthshine albedo measurements (See “Terrestrial Albedo”).

Now, things get more complex as we add land and clouds because they behave differently than water. Bare land and vegetation generate a combination of specular and diffuse-reflection that is best described with a Bidirectional Reflectance Distribution Function (BRDF). It is a mathematical description of how light is distributed with the two effects of diffuse and specular-reflection, with varying angles of incidence. There is always a strong forward lobe of reflectance (anisotropy) for oblique illumination, even for snow. That is because snowflakes (and plant leaves) are smooth, planar, and tend to be sub-parallel to the surface of the Earth. Thus, measurements of albedo from directly above will result in values that are lower than the true total reflectance that would be obtained by integrating the BRDF over an entire hemisphere.

There has been work done with modeling CERES satellite measurements; however, judging from the following illustrations, they don’t have it right. The right-hand illustration of Fig. 2 shows a hemisphere with a large amount of land. The oceans are shown as darker than vegetated land (8% –18% albedo). Indeed, a value of 6% for open ocean seems to be totally inappropriate. Therefore, this illustration appears to be primarily the diffuse-reflectance water-albedo, and not total reflectivity. Because the value is so low, it apparently does not take into account how the specular-reflectance changes with time and position. That is, it is an average of the small incidence-angle (nadir) specular-reflectance (≈2%) of direct sunlight, as obtained from satellites; whitecaps; bottom reflectance from shallow water; diffuse-reflectance of suspended particles near the water surface; and scattered skylight coming from all angles.

olr-terra-ceres2

Figure 2. Terra/CERES views the world in outgoing longwave radiation (left) and reflected solar radiation (right). Image Credit: NASA

Vegetation behaves differently from inorganic reflectors. First, leaves tend to be smooth, with a waxy coating that favors specular reflection. Next, while plants look green because red and blue light are absorbed (It is also highly reflective in the near-infrared.), not all incident absorbed light contributes to warming. The plant chlorophyll converts incident light to carbohydrates and it does not result in warming. The estimates of efficiency with which this conversion takes place vary with the plant and the growing conditions. However, it is generally thought to be in the low single-digit percentage range. Thus, the effective reflectance of visible light by vegetation should be adjusted upward in warming calculations to account for the lack of warming. Phytoplankton and algae in the oceans similarly capture sunlight and convert it to biomass instead of warming the water to the extent that a first-order estimate from reflectivity alone would suggest.

Common dry sand can have a diffuse-reflectance as high as 45%! Regolith, sand, and soils typically have a dominantly diffuse-reflectance. Soil exposed by agriculture can vary from very bright yellow or whitish, calcium-rich desert soils, to dark organic-rich soils; when the soils are wet they get darker and have a stronger specular component. And, of course, little if any soil is exposed during the growing season. Any ‘average’ value assigned to bare soils will probably be wrong more often than right. Estimates for soil reflectivity should be derived from soil maps to better obtain area-weighted values for different regions of the world, and take into account the growing season.

The other extreme is diffuse-reflectance from clouds, which approaches true Lambertian Reflectance. Lambertian Reflectance is a condition where light is reflected equally in all directions and the clouds appear uniformly white from all directions, except under the clouds and in shadow areas between them. Clouds can vary widely in their albedo, but a commonly accepted average value is around 50%.

What clouds contribute to the energy balance is the difference between their reflectance and the reflectance of the surficial materials they are covering. Clouds also re-direct light, making calculations more challenging. However, clouds have their greatest impact on reflectivity and albedo when they are within about 50 degrees of the surface-normal pointing towards the sun.

The Polar Regions are notoriously cloudy. That is one reason the Vikings invented the use of the sunstone to help them navigate where a compass and stars were unusable. Much of the year, it doesn’t really matter whether there is open water or ice because clouds interfere with sunlight reaching the surface during the Arctic Summer, and there is no sunlight during the Arctic Winter! When sunlight does reach the surface, the 100% reflectivity at the Earth’s limbs helps explain, in part, why the poles are so cold. (This also occurs around the perimeter of the oceans at the planet’s terminators, not just at the poles.) Snow on top of ice actually scatters light in all directions, including downward. Thus, there is actually more absorption at a glancing angle with the presence of snow than there would be with calm, open water! There are tradeoffs that complicate the situation and I don’t think they are being taken into account by most climate modelers. The simplistic explanation of decreasing Arctic ice being responsible for reinforcing warming is probably a stretch by those unfamiliar with Fresnel’s equations.

Clouds are the best evidence that the naive “Science is settled” claim is false. Clouds are highly variable in their position, extent, and albedo, often moving rapidly under the influence of winds. There is reason to believe that a decrease in cloudiness has had more impact on the retreat of glaciers than has the supposed average increase in air temperature (≪1°C/century at mid-latitudes). Melting of ice is not directly proportional to the increase in temperature if the temperature never gets above the melting point of ice. At best, one would expect that glacier retreat would follow the lapse rate if air temperature were the controlling factor. What one finds is that the retreat of glaciers is more pronounced on mountain slopes with south-facing aspects. That suggests that there has been a decline in clouds that formerly protected the snow and ice from direct sunlight.

More frustrating yet, the phase-change energy exchanges that take place in clouds cannot be modeled at a scale necessary to capture details, for inclusion into Global Circulation Models. There simply aren’t any computers powerful enough to handle the calculations, and simplifying assumptions must be made. There is an old aphorism that “The Devil is in the details.” That applies quite aptly to the problem of energy exchange in clouds. Because clouds change so rapidly, and have an important impact on both albedo and total reflectivity, it is probably inappropriate to talk about the Earth’s albedo as though it were some constant. Clouds are changing all the time!

In summary, albedo is commonly defined as the “whiteness of a surface.” Water is commonly characterized as having low reflectivity because albedo is used. Water can be illuminated obliquely and have a reflectivity higher than snow, but it will appear black to an observer not in the plane of reflection, and observing at the angle of reflection. The albedo commonly used by climatologists is on the low-end of a range of measured values. Even the high-value albedos, are too low to be used as an estimate of total terrestrial reflectivity because albedo excludes almost all specular reflections. Albedo is an under-estimate of the reflectivity of Earth surficial materials; it is only appropriate for clouds, and to a lesser extent, for bare sands. At the very least, specular-reflection has to be taken into account, as well as diffuse-reflectance, for the oceans. The most accurate representation would be through measured BRDF for all angles of solar incidence for the major surficial materials found on Earth.

Corrigendum

10/21/2020

I incorrectly stated that the average reflectance for a parcel of water on the equator of the hypothetical Waterworld was about 18%.  I initially made two mistakes.  I estimated the area under the curve of the Fresnel equation incorrectly, determining it to be about 9% for a 6-hour period.  I then incorrectly doubled that for the full period of daylight.  That was unjustified because the symmetry of the curve still only provides an average reflectance for the full period of daylight that is the same as the morning-to-noon average.

I have subsequently calculated the area under the curve, and I find it to be about 12.2% for the range of 0 degrees angle-of-incidence to 90 degrees.  I also calculated the instantaneous reflectance for the ideal Waterworld hemisphere, and I find it to be about 17.6%.  The reason that the numbers are not the same is because a spot near the Equator has a lower reflectance at noon (0°) than a spot at higher latitudes, which only sees a minimum reflectance appropriate for an angle of incidence equal to the latitude. 

While the numbers have changed some, I stand by the argument of the implications for the NASA estimates of open ocean reflectance, and unaccounted for loss-of-light from the surface of Earth.

Incidentally, I want to emphasize that for any calm water on the terminator, the reflectance will be 100%.

Clyde Spencer

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September 12, 2016 10:10 pm

A fine article rich in detail and common sense. Two comments resonated with me in particular:
1. Albedo is an instantaneous measurement. To the extent that vegetation and clouds change with the seasons, a further, more complicated correction has to be made for those effects to derive an annual average.
2. Clouds are the best evidence that the naive “Science is settled” claim is false. Clouds are highly variable in their position, extent, and albedo, often moving rapidly under the influence of winds.
There is no better illustration of the importance of clouds and the influence that they have on surface temperature than to consider that global temperature is at its annual maximum in July when the Earth is furthest from the sun and irradiance 6% weaker than in January. That’s when global cloud cover is at its annual minimum due to the energy returned to the atmosphere by the continents of the northern hemisphere, so much greater as a proportion of the surface of the hemisphere than is the case in the southern hemisphere.
It is observed that the surface warms as geopotential height increases at 500 hPa. GPH is a measure of the temperature (and the density) of an air column below the point of height assessment. Anomalous increases in height are due to an increase in the ozone content of the air. Ozone heats the air by absorbing long wave radiation from the Earth and the efficiency of the mechanism increases with atmospheric density.
GPH is observed to increase with surface pressure and the temperature of the air at 200 hPa and all points above. So, the temperature at the surface is intimately connected with the temperature of the upper air that varies with its ozone content. Why? Because as the air warms it holds less water in the condensed floating form we call cloud and more as invisible, non reflective gas.
This mode of climate change, all natural and all driven by changes in the external environment in which the Earth and its atmosphere resides is described, for those few curious enough to look, at https://reality348.wordpress.com/

Michael Carter
September 12, 2016 10:15 pm

” What one finds is that the retreat of glaciers is more pronounced on mountain slopes with south-facing aspects. That suggests that there has been a decline in clouds that formerly protected the snow and ice from direct sunlight”
Oops – that Northern Hemisphere mind set again – the same blinkers that directs so much attention to the Arctic and the Atlantic Sea

Reply to  Michael Carter
September 13, 2016 12:24 am

Good point (and I live in the SH). Although I would point out the absence of east west running mountains and hence north and south facing mountain slopes in the SH. So there are few potential examples. Except perhaps on the sub-arctic Southern Ocean islands and they are little studied because of remoteness. Kerguelen’s north facing glaciers are showing retreat, and one can infer the south facing aren’t (or not as much) and glaciers that aren’t retreating are of less interest to the AGWers and therefore not reported.
https://glacierchange.wordpress.com/tag/kerguelen-glacier-retreat/

Clyde Spencer
Reply to  Michael Carter
September 13, 2016 7:51 am

Michael,
Guilty as charged. However, in my defense, there is more land in the Northern Hemisphere and there is nothing comparable to the Himalayas or even Glacier National Park in the Southern Hemisphere.

Greg
September 13, 2016 9:28 am

Clyde, I think you need to get familiar with the actual obital geometry of the satellites concerned and look at viewing angle of the instruments. There is too much hand waving about what is probably being seen and under what conditions.
I’m fairly familiar with ERBE but not CERES.
CERES did have a large ( impossible ) net energy gain of about 5 W/m^2 . This could just be instrument calibration not living up to spec. or it could be a failure to capture some reflected insolation which is falsifying the results.
I think they have done several revisions and reduced the problem but I’m always very sceptical of post hoc “corrections” which usually end up being parameter tweaks in some model involved in the extraction process.
There were several adjustments to the ERBE SW data which sounded a little speculative. They seemed credible but still speculative. There was one storey about the dome material degrading under UV light which was not validated by materials tests but seemed to be “consistent with ” the drift. If I was in charge of the science I would want and identical dome tested under high UV in the same geometry to prove there was a degradation. Then I’d ask who chose a UV sensitive material for a dome on an ultra high precision instrument that would be exposed to strong UV twice per orbit.
Last time I looked the “revision 3” data which used this correction was still not officially archived, so maybe someone else is equally a little sceptical.
The degree of accuracy and precision which is required for this kind of energy balance if extremely difficult to achieve, so it’s an amazing feat anyway but there may be some mileage in the idea that some reflected light is being missed.
Anyway, to get traction I think you need to get into specifics rather than guessing about the instruments.

Clyde Spencer
Reply to  Greg
September 13, 2016 10:08 am

Greg,
Despite being retired, I don’t have the time to devote to studying this issue in the detail you suggest. I have several other projects and responsibilities that eat up my time and have higher priorities in my life. I’m currently doing research on the optical constants of opaque minerals and compiling a database of values. There is little that is actually known about the specifics of individual mineral species because the calculations are not trivial and most of the original theoretical work was done before computers.
I saw what I thought was a probable issue when I realized that diffuse reflectance was being used for calculating absorption, and consequently heating and climate sensitivity. I wanted to bring the potential problem to the attention of those like yourself who might be willing and able to run with it. Even though “The Science is settled” I think that there are a lot of questions left to be answered. In any event, an albedo of one-significant figure, which might be missing a significant fraction of energy leaving the surface of Earth, does not leave me feeling confident that anybody really has the problem under control.
At the very least, I hope that by sticking my neck out I will have encouraged some people to examine the assumptions behind the claims about how climate sensitivity is calculated. Unfortunately, it appears that the trust in government employees is so high that many are willing to dismiss the possibility that anything has been overlooked. There may be some “not invented here” issues too. It seems evident to me that any calculations that depend solely on diffuse reflections are missing part of the ‘big picture.’ And, if the reflectivity of sea water as calculated by NASA and NOAA is less than the theorectical specular reflectance alone, then I think something is being missed. The reflectivity should be the sum of diffuse and specular!

Reply to  Greg
September 14, 2016 12:03 pm

Greg, I think it is unfair to say “you need to get familiar with the actual orbital geometry of the satellites concerned and look at viewing angle of the instruments.”
Clyde has brought up some interesting questions and observations. If experts can easily answer those questions, experts can and provide links to greater detail and schematics and everyone is better off. If the questions are hard to answer, or cannot be answered, well that’s good to know, too.
It is not, however, the job of the unpaid to “get familiar” with why the data has a large ( impossible ) net energy gain of about 5 W/m^2 . No, sir. It is the job of those who get paid by the project managers to be upfront with the “bust” and not hide it behind post-hoc data adjustments to make the data fit expectations. It is quite possible what most needs adjusting are the assumptions. Which brings us back to why Clyde wrote the article.

Clyde Spencer
Reply to  Stephen Rasey
September 19, 2016 9:02 am

Stephen,
Thank you for the support. If I observe that “The king has no clothes,” I’m not sure that it is my responsibility to prove my statement.

Frank
September 13, 2016 1:27 pm

Clyde: Really enjoyed and appreciated the work that went into t his interesting article.
Have you thought about this issue from the perspective of climate models rather than the perspective of satellites? For every grid cell on the planet, the model needs to correctly deal SWR often arriving far from normal, or the model will do a lousy job, Someone must have looked into how well different models handle this problem and therefore used raw satellite data to decide whose code worked best.

Clyde Spencer
September 13, 2016 1:59 pm

Frank,
Thank you. Whether or not satellite observations can correctly characterize reflectance is open to question. However, the whole point of the exercise was to challenge some of the assumptions that go into climate models. I think that to do it right would require a dynamic simulation taking into account how the reflectance changes with changing angles of illumination, and not rely on averages. Fallow fields will be different from fields ready for harvest. Wet soils will be darker than light soils. Snow will dramatically change mid-latitude reflectivities. Turbid water after storms will significantly change the diffuse reflectance while not impacting specular reflectance. It is an immensely complex problem.

Reply to  Clyde Spencer
September 13, 2016 7:58 pm

Clyde: Very interesting article, and a decent, thought-provoking discussion free of the usual political rants. It does, as you say, highlight an inherent problem of energy balance estimations. If I can characterize the whole energy-balance issue: it is trying to measure the very small difference between two large quantities. Tiny errors resulting from not capturing all the outgoing energy, will lead to massive errors in estimating the imbalance. Hence I have distrusted all energy-balance calculations from the outset. You have given some solid logic to support what was formerly an intuitive stance. Thanks.

Clyde Spencer
Reply to  Smart Rock
September 18, 2016 8:44 pm

Smarter than a rock,
Thank you for your endorsement. The check is in the mail. Seriously, there is more to this issue than most of the ‘experts’ acknowledge and I think that it deserves more than a cavalier dismissal with “I don’t believe it.” One (usually) doesn’t know what they don’t know. It is then easy to have confidence in declarations that “We have everything under control.”

JohnKnight
September 13, 2016 4:17 pm

Clyde,
A very enjoyable article, thank you.
One aspect of reflectance I have been wondering about lately has to do with something I serendipitously “discovered” a few decades ago (while pondering decking surface slipperiness in the then prospective small wooden boat I was about to build), which was tiny glass beads used to make highway line paint highly reflective. (worked beautifully, by the way ; )
My thought is that water vapor droplets/particles (not large drops) are dominated by water surface tension forces, and so maintain a nearly spherical shape in air, and thus, I figure, ought to act as directional reflectors to sunlight, much as those tiny glass beads do to auto headlight. Which is to say I imagine there is a diffuse water vapor “albedo” effect that is sun-facing atmosphere wide . . I’ve never seen any discussion of this effect, and wonder if you have . .

Clyde Spencer
Reply to  JohnKnight
September 18, 2016 8:39 pm

JohnKnight,
I can’t speak with any great expertise on your question, but I believe what you are referring to are generally called “retroreflectors.” Because clouds are so bright, I think that they are effectively acting as retroreflectors. When a light ray enters a water droplet it can potentially pass straight through, but is probably more likely to suffer one or more total internal reflections before exiting. The total internal reflection happens with essentially 100% efficiency, so the light exiting will be nearly as bright as the ray entering. (There is some loss as a result of the very small, but non-negligible extinction coefficient, i.e. absorption.)

MieScatter
September 13, 2016 11:06 pm

Clyde,
I’ve been doing some surface energy-budget stuff. Do you know of any CMIP5 (or newer) GCMs that don’t account for illumination angle when calculating reflectance?
Why didn’t you talk about multi-angle imaging instruments that are used to measure BRDF?

Clyde Spencer
Reply to  MieScatter
September 18, 2016 9:24 pm

MieScatter,
I didn’t talk about multi-angle imaging instruments because this wasn’t intended to be a summary of the NASA orbiting satellite programs.
The point of this is that there is a good reason to believe that the models that are used to predict albedo aren’t doing it right. Namely, if the total of diffuse and specular reflection of water is estimated to be 6%, and Fresnel’s equation predicts that the water average should be something like 3X that value, then there is a problem that needs to be explained.
It is beginning to look to me like the values being used by NASA for water represent the nadir-to-near-nadir specular reflectance (2%) plus about 4% for diffuse reflectance from turbidity. Therefore, the correct value might be as high as 22% (4% + 18%).

RACookPE1978
Editor
Reply to  Clyde Spencer
September 18, 2016 10:26 pm

Clyde Spencer (replying to Miescatter)
The point of this is that there is a good reason to believe that the models that are used to predict albedo aren’t doing it right. Namely, if the total of diffuse and specular reflection of water is estimated to be 6%, and Fresnel’s equation predicts that the water average should be something like 3X that value, then there is a problem that needs to be explained.
It is beginning to look to me like the values being used by NASA for water represent the nadir-to-near-nadir specular reflectance (2%) plus about 4% for diffuse reflectance from turbidity. Therefore, the correct value might be as high as 22% (4% + 18%).

No.
There are two very different albedoes for open ocean water.
One for diffuse radiation.
The open ocean albedo for reflecting diffuse radiation remains near-constant constant across essentially all solar incident angles (solar elevation angles above the horizon) at the “classic” open water albedo = 0.067.
The open ocean albedo for reflecting direct radiation is also 0.67, but ONLY for solar elevation angles above 33 degrees above the horizon.
Below 33 degrees SEA, the direct radiation albedo increases sharply as solar elevation angle decreases, going above 0.45 at SEA less than 10 degrees. (Few measurements are published for SEA < 10 degrees.) See Pegau and Paulsen for wind speed corrections to the basic formula for open ocean direct radiation albedo with respect to solar elevation angle. (Also measured as Solar Zenith Angle in many papers.)
However, the solar radiation received at sea level to a flat surface is greatly attenuated by the atmosphere at low Solar Elevation Angles, and a good part of that attenuation is scattering. So, all solar elevation angles, there is some diffuse radiation and some direct radiation. The percent of each in the total varies strongly SEA itself, and with atmosphere contamination (day of year (season) and latitude control the amount of dust, amount of pollen, number of clouds and type of clouds and altitude of clouds, and time of pollen.) Roughly, at very low SEA angles, the ratio of diffuse to direct varies from 0.76 to 0.90 At high SEA angles and clear sky, the diffuse radiation may be as low as 0.05 the direct radiation.
All of these factors affect the ratio and final albedo you began describing above.

Clyde Spencer
Reply to  RACookPE1978
September 19, 2016 11:10 am

RAC,
You tell me that there are two albedos. P. Minnis tells me that there is only one. I think that the following links do a better job of explaining the situation:
http://www2.hawaii.edu/~jmaurer/albedo/
http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19880018293.pdf
You remark that few measurements have been published for angles of incidence greater than 80 degrees. That is exactly the crux of my concerns! There is an old saying that “The Devil is in the details.” I’m concerned that the paucity of data for very high angles of incidence is a ‘detail’ that is just being ignored.

Greg
September 14, 2016 8:05 am

“I’ve been doing some surface energy-budget stuff. Do you know of any CMIP5 (or newer) GCMs that don’t account for illumination angle when calculating reflectance? ”
Does that imply that you know that some/most recent GCMs DO take angle into account.

MieScatter
Reply to  Greg
September 14, 2016 11:36 pm

Hi Greg,
I’ve never met a scientist working on surface reflection who doesn’t know about this and I’d be shocked to find one. Here’s a 1988 guide to albedo calculations as an example.
http://ntrs.nasa.gov/search.jsp?R=19880018293
Papers have been saying for at least a decade that GCM ocean reflectance accounts for incidence angle. I tested it by looking at the seasonal cycle of ocean albedo as a function of latitude in CMIP5. I think all CMIP5 models except the CMCC ones account for this, but afaik I’ve not used the CMCC models in my analysis.
I haven’t checked the source code so I’d be happy to be corrected. But it’s also possible that Clyde didn’t realise that the models include this, which would make most of the blog redundant.

Clyde Spencer
Reply to  MieScatter
September 19, 2016 9:44 am

MieScatter,
I gave a cursory review of the NASA article on calculating ‘directional albedo’ that you provided. I see that the procedure uses binning. What’s more, the binning for observations runs from 75 to 90 degrees for the highest zenith angles. The reflectance of water varies from 21% to 100% in that range. Obviously, any calculations performed with that kind of imprecision is going to leave a lot of wiggle room for a claim that the models are using angular observations. From the perspective of my claims, things don’t get interesting until 75 degrees is reached.
If you are seeing a seasonal variation in ‘albedo’ with latitude, then you are almost surely looking at diffuse reflectance from inorganic and organic turbidity. This contribution is additive and doesn’t really speak to my concerns about why the theoretical values appear to be higher than the values used in the models.

simplemind
September 14, 2016 5:02 pm

Energy density uses the same calculation as radiation, but has units of Joule/m^3. It says that it is a synonym for magnetic field behaviour, pressure and enhalpy at the same time as it can express temperature in Kelvin and fluxdensity in W/m^2.
I cannot not see albedo in there. Where is it hiding?
“This article is about energy per unit volume. For energy per unit mass or energy density of foods, see specific energy.
Energy density
SI unit J/m3
In SI base units kg·m-1s-2
Derivations from
other quantities
U = E/V
Energy density is the amount of energy stored in a given system or region of space per unit volume or mass, though the latter is more accurately termed specific energy. Often only the useful or extractable energy is measured, which is to say that chemically inaccessible energy such as rest mass energy is ignored.[1] In cosmological and other general relativistic contexts, however, the energy densities considered are those that correspond to the elements of the stress–energy tensor and therefore do include mass energy as well as energy densities associated with the pressures described in the next paragraph.
Energy per unit volume has the same physical units as pressure, and in many circumstances is a synonym: for example, the energy density of a magnetic field may be expressed as (and behaves as) a physical pressure, and the energy required to compress a compressed gas a little more may be determined by multiplying the difference between the gas pressure and the external pressure by the change in volume. In short, pressure is a measure of the enthalpy per unit volume of a system. A pressure gradient has a potential to perform work on the surroundings by converting enthalpy until equilibrium is reached.
https://en.wikipedia.org/wiki/Energy_density

simplemind
September 14, 2016 5:14 pm

Energy density calculated from irradiation from the sun at TOA in units of J/m^3 in shape of a sphere gives the right mean surface excitance and solid mass temperature, at the same time it tells us how the magnetic field behaves, what the pressure is and the relative enthalpy inside a system, which shows us the direction of the flow of energy towards immediate higher entropy.
Why do we include co2 or albedo when we get f****d up numbers and have to use an icecold atmosphere of -18C as a heat source? Why should I not use the definition of energy density?

Michael J. Dunn
Reply to  simplemind
September 16, 2016 2:58 pm

Uh, because “energy density” has nothing to do with reflection coefficient, which is a nondimensional number between zero and one, where zero is non-reflecting (“black”) and one is all-reflecting (“white”). See https://en.wikipedia.org/wiki/Albedo for a reasonable discussion.
I have no idea what you are driving at in your first paragraph, and I rather suspect neither do you.

September 20, 2016 7:23 am

Regarding “One frequently sees reference to the nominal 30% albedo of Earth with respect to the energy budget and alleged anthropogenic global warming. Although, the CRC Handbook of Chemistry and Physics lists a value of 36.7% in recent editions. Albedo is a measure of the apparent reflectivity, of visible light, of celestial bodies such as the moon, Mars, and asteroids”:
This seems to suggest that the discrepancy between the 30% and 36.7% figures is from the 36.7% figure being “a measure of the apparent reflectivity, of visible light”, and the 30% figure being of total solar radiation so as to be suitable for energy budget calculations.

September 21, 2016 7:58 am

As for some specific spectral ranges of solar radiation where Earth’s albedo seems to be lower than with visible light: One is ultraviolet of wavelengths shorter than 315 nm, about 4% of the sun’s output, which is mostly absorbed in the ozone layer. Another is infrared of wavelengths longer than 1.5 micrometers, about 12% of solar radiation, which is readily absorbed by liquid water and ice. This means clouds, ice and snow mostly absorb these wavelengths and diffuse reflection of them by radiation penetrating into water is nil. In addition, a few percent of solar radiation is at wavelengths in infrared shorter than 1.5 micrometers but highly absorbed by water vapor, and these wavelengths generally don’t reach the surface.
Another factor is that most of the sun’s invisible radiation is infrared, which is scattered by the atmosphere less than visible light is.