Peter Sinclair is a blogger who runs the website
Climate Crocks. It is a website that purports to debunk Climate "Denialist" myths. Every week he creates a new video titled "Climate Denial Crock of the Week" and one of his most famous videos is a video titled "
Solar Schmolar." In this video, he looks into the possible solar contribution for recent climate change.
Sinclair states at 0:43 into the video,
"
Solar activity has been accurately measured using both ground and space based systems for decades."
While this is true, it does not state that we haven't measured solar activity accurately for most of the 20th Century. Only in the late 1970s was solar activity starting to be accurately measured from satellites like ACRIM I and NIMBUS7. Some of the satellites like SOHO and VIRGO came even later.
Sinclair then goes on to state at 0:52,
"
No change in solar output has been detected that could be responsible for the observed Global Warming, especially over the last 30 years."
There are many studies that Sinclair chose to ignore that has a long term upward trend in solar activity that
could explain the long term increase in temperatures over the 20th Century.
For example,
Mufti and Shah 2011 found that,
"
The 11-year and 23-year overlapping means of global (δtg) as well as northern (δtn) and southern (δts) hemispheric SST anomalies reveal significant positive correlation with both Rz and aa indices. Rz, aa and δtg depict a similar trend in their long-term variation and both seem to be on increase after attaining a minimum in the early 20th century (∼1905)."
So a long term increase in magnetic activity can explain the long term increase in Global Temperature anomalies, which is contrary to what Peter Sinclair claimed.
Sinclair also completely ignored the indirect variations from the sun, which include the variations in Galactic Cosmic Rays.
In figure 4 of
Dorman 2012 it is shown that cosmic rays can explain much of the temperature variations from 1937-1994.
In Figure 2 of
Carslaw et. al 2002 it is shown that there is a long term decrease in GCRs over the 20th Century, which would correspond to a more active sun, as this would mean that there would be more solar wind to prevent GCRs from reaching Earth. It is also shown that in 1992, a record low in GCRs was recorded, indicating record high amounts of solar activity occured during the late-20th Century.
Then there is
Palle Bago and Butler 2001, which states,
"
Together with the increased forcing of increased solar irradiance, this leads to a total solar-activity induced change in the global mean temperature of ~0.5 Degrees C, which is very close to the 0.55 Degrees C observed since 1900."
 |
| From Figure 1 of Palle Bago and Butler 2001. This graph shows low cloud cover changes are highly correlated to the GCR Flux, and total cloud cover is not. This means that attempts to correlate total cloud cover to the GCR Flux to try and undermine the GCR hypothesis are misleading. |
This means that solar activity can account for more than 90% of the variations in global temperatures since 1900.
Georgieva et. al 2005, which states,
"We show that the index commonly used for quantifying long-term changes
in solar activity, the sunspot number, accounts for only one part of solar activity and using
this index leads to the underestimation of the role of solar activity in the global warming
in the recent decades. A more suitable index is the geomagnetic activity which reflects all
solar activity, and it is highly correlated to global temperature variations in the whole period
for which we have data
...
The correlation
between the two quantities is 0.85 with p
<0.01
for the whole period studied."
 |
| The graph above from Georgieva et. al 2005 shows a good correlation between the Geomagnetic AA Index and Global Temperature anomalies over the last 150 years. |
Meaning that 85% of the variations over the last 150 years can be accounted for by solar activity.
Crowley and Kim 1996 find a correlation coefficient between solar activity and temperature since 1600 of 0.57-0.74, meaning that the sun can account for 57-74% of the variability in temperatures during this timeframe.
All of these studies undermine Peter Sinclair's claim that "
No change in solar output has been detected that could be responsible for the observed Global Warming, especially over the last 30 years."
Peter Sinclair then goes on to state at 1:03,
"If the sun were warming the atmosphere from space, we would expect to see a uniform warming pattern all the way down. But that's not what we see."
Mr. Sinclair is right that we do not see a uniform warming trend in the atmosphere, but we observe stratospheric cooling and trophospheric warming.
The stratospheric cooling likely has to do with recent ozone depletion due to anthropogenic and natural causes. A strong natural cause can be identified when simply looking at stratospheric temperatures.
What major natural cause can we see here? During a major volcanic eruption, the stratospheric temperatures spike because of increased solar radiation being absorbed by the volcanic aerosoles now into the stratosphere. The stratospheric temperatures then decline rapidly, because of the ozone depletion the volcanic aerosoles cause, and less UV Rays are absorbed by the ozone, and therefore stratospheric cooling occurs. Anthropogenic CFCs also probably play a major role in ozone depletion,
as well as solar storms. The sun can actually be responsible for ozone depletion, if more solar storms creating ozone depletion holds to be true. This just goes to show that the science is by no means settled, and Peter Sinclair left out some serious uncertainties in his video about stratospheric cooling. Peter Sinclair, if CO2 and GHGs causing stratospheric cooling is "the smoking gun" that most of the warming is due to anthropogenic greenhouse gases,
why have we stopped cooling in the stratosphere since 1995, while CO2 and other GHG concentrations rose sharply?
Peter Sinclair then goes on to state at 1:44,
"The planet is warming at the same rate at night as it is during the day."
Sinclair is mistaken on this issue, nighttime temperatures are actually warming faster than the daytime temperatures, which, according to some AGW Advocates is another smoking gun that most of the warming can be attributed to Greenhouse Gases.
Of course, according to the actual scientific peer reviewed literature, we get a different answer than what Peter Sinclair is saying, about whether a decrease in the DTR in some weather stations is a smoking gun of anthropogenic greenhouse gases being responsible for most of the warming observed.
Vose et. al 2006 does observe a general decrease in the DTR, but they attribute it to factors not related to anthropogenic greenhouse gas emissions.
"Changes
in cloud cover, precipitation, soil moisture, and
atmospheric circulation likely accounted for much of the
trend differential during the period (e.g., Dai et al., 1999;
Przybylak, 2000; Braganza et al., 2004). Changes in
land use also impacted the DTR in some areas (e.g.,
Balling et al., 1998; Bonan, 1999; Small et al., 2001)."
Fall et. al 2011 finds that in the CRN 5 weather stations, there is a significant decrease in the DTR range. Keep in mind that the CRN 5 stations are the worst quality stations, with many of them being impacted by urbanization.
The graph above shows the trends in the diurnal temperature range for each type of weather station. There is no statistically significant trend in the diurnal temperature range for the best quality stations, wheras in the urbanized stations there is a statistically significant decrease in the DTR. What does this mean? It means that urbanization could account for most or all of the decrease in the DTR for most of the weather stations, since the highest quality weather stations do not display a trend in the DTR.
This also means that CO2 is not the driver of climate change in the best quality weather stations, or else we still would have observed a statistically significant decrease in the DTR in these non-urbanized weather stations, since there is no urban effect to contaminate the trends in the DTR in the best quality weather stations.
We don't observe that.
This indicates that Carbon Dioxide is not driving climate change in these regions.
Since the DTR range has not changed for these high quality weather stations, and temperature anomalies have gone up with these better quality weather stations (albeit not as much as the poorer quality weather stations) then we can conclude that a forcing that does not change the DTR is responsible for temperature changes in these weather stations.
TSI increasing makes a plausable candidate for these temperature changes, since it doesn't impact the DTR, and no change in DTR has ben observed for the high quality weather stations, while temperature anomalies in these high quality weather stations rose.
Blanter et. al 2008 found a significant correlation to solar activity and temperature changes in the United States, which would further support the above hypothesis.
Quoting Paper:
We analyze temperature data from meteorological stations in the USA (six climatic regions, 153 stations), Europe (44 stations,
considered as one climatic region) and Australia (preliminary, five stations). We select stations with long, homogeneous series of
daily minimum temperatures (covering most of the 20th century, with few or no gaps).We find that station data are well correlated
over distances in the order of a thousand kilometres. When an average is calculated for each climatic region, we find well
characterized mean curves with strong variability in the 3–15-year period range and a superimposed decadal to centennial (or
‘secular’) trend consisting of a small number of linear segments separated by rather sharp changes in slope. Our overall curve for the
USA rises sharply from 1910 to 1940, then decreases until 1980 and rises sharply again since then. The minima around 1920 and
1980 have similar values, and so do the maxima around 1935 and 2000; the range between minima and maxima is 1.3-1.8C. The
European mean curve is quite different, and can be described as a step-like function with zero slope and a 1.8C jump occurring in
less than two years around 1987. Also notable is a strong (cold) minimum in 1940. Both the USA and the European mean curves are
rather different from the corresponding curves illustrated in the 2007 IPCC report.We then estimate the long-term behaviour of the
higher frequencies (disturbances) of the temperature series by calculating the mean-squared interannual variations or the ‘lifetime’
(i.e. the mean duration of temperature disturbances) of the data series.We find that the resulting curves correlate remarkably well at
the longer periods, within and between regions. The secular trend of all of these curves is similar (an S-shaped pattern), with a rise
from 1900 to 1950, a decrease from 1950 to 1975, and a subsequent (small) increase. This trend is the same as that found for a
number of solar indices, such as sunspot number or magnetic field components in any observatory. We conclude that significant
solar forcing is present in temperature disturbances in the areas we analyzed and conjecture that this should be a global feature.
Fall et. al indirectly supports the ACRIM TSI composite which shows TSI increasing between 1970-2000, and would make solar activity as a whole, a potential significant contributor to climate change over the last 30 years.
Zhou et. al 2004 found that the more urbanized the surroundings were around the weather stations in China, the greater the decrease in the DTR was, thus indicating a significant urban influence on the DTR.
The less the urbanization, the more positive the DTR trend, thus indicating that Urbanization could have a major role in DTR decreases in China as well.
Liu et. al 2007 found that the urbanization impact is the strongest in the nighttime, thus supporting the hypothesis, that urbanization has played a major role in the DTR changes.
Gallo et. al 1996 found that rural weather stations had a higher DTR than urbanized regions, thus indicating that the urbanized regions could have contributed to the reduced DTR in those places.
Quoting Paper:
Those stations that were
associated with predominantly rural land use / land cover (LULC) usually
displayed the greatest observed DTR, whereas those associated with urban related
land use or land cover displayed the least observed DTR. The results of this
study suggest that significant differences in the climatological DTR were
observed and could be attributed to the predominant LULC associated with the
observation stations. The results also suggest that changes in the predominant
LULC conditions, within as great as a 10 000 m radius of an observation station,
could significantly influence the climatological DTR.
Remar 2010 found that Las Vegas' minimum temperatures are increasing faster than its maximum temperatures, but in other rural stations near it, no such discrepency between the steepness of each of the slopes is observed.
Quoting Paper:
“Las Vegas’ urban minimum
temperatures have been increasing at a substantial rate, while minimum
temperatures in its rural surroundings have shown no statistically significant
changes or trends. … these unnatural increases in minimum temperatures have
reduced the diurnal temperature range of Las Vegas’ urban areas by 3°F more than
its rural surroundings.”
Mr. Sinclair then goes on to state at 1:50,
Mr. Sinclair then states at 1:54,
"There is more warming at the poles than at the equator."
This is true, but once again, is not an indicator of anthropogenic greenhouse gases being responsible. It is a basic fact of warming.
Chylek et. al 2009 found that the Atlantic Multidecadal Oscillation and the Arctic temperatures are closely linked. The abstract states,
"Analyzing temperature records of the
Arctic meteorological stations we find that (a) the Arctic
amplification (ratio of the Arctic to global temperature trends)
is not a constant but varies in time on a multi-decadal time
scale, (b) the Arctic warming from 1910–1940 proceeded
at a significantly faster rate than the current 1970–2008
warming, and (c) the Arctic temperature changes are highly
correlated with the Atlantic Multi-decadal Oscillation
(AMO) suggesting the Atlantic Ocean thermohaline
circulation is linked to the Arctic temperature variability on
a multi-decadal time scale."
They also found that the rate of Arctic Amplification varies greatly on a multidecadal timeframe. Once again, there is no mention of Greenhouse Gases or Carbon Dioxide as being a cause of Arctic Amplification in the peer reviewed paper as Peter Sinclair suggested there was in his video.
Even
Skeptical Science agrees that Arctic Amplification is what you would expect with any type of warming.
"The surface warming is modest in summer because energy is used to melt remaining sea ice and warm the upper ocean. The majority of the winter warming is associated with changes in sea ice cover even though the sea ice declines at this time of the year are relatively small. During summer, the atmosphere loses heat to the ocean whereas during winter, the flux of heat is reversed. Reduced summer sea ice cover allows for greater warming of the upper ocean but atmospheric warming is modest. The excess heat stored in the upper ocean is subsequently released to the atmosphere during winter."
In other words, natural variability, or any radiative forcing could be responsible for the ice-albedo feedback in the Arctic, and the reason for why the poles are warming the fastest during winter. It is not exclusively CO2 that can create changes in the albedo of snow and ice in the wintertime and the summertime.
Peter Sinclair then goes on to state, later in his video at 2:28,
"In marked constrast to the sun's steady activity, we see a constant rise in temperature, decade after decade."
Mr. Sinclair must be unaware that there are multiple TSI datasets other than the dataset that he presented in his video, that measure Total Solar Irradiance. In addition to the PMOD dataset, which is the dataset he showed in his video, there is the
IRMB dataset and the
ACRIM dataset. These three datasets are all different from each other, which poses a problem for attribution over the last 30 years. The PMOD dataset shows no trend over the last 30 years, which would mean that solar activity would be constant, and it would be difficult to try and explain the warming over the last 30 years to the sun if the PMOD dataset were to be correct. The IRMB dataset shows a statistically insignificant increase in TSI from the minima of Solar Cycle 21 to the minima of Solar Cycle 22, it wouldn't be as hard to explain the warming with the IRMB dataset, since using the chance that the TSI did increase, (which is 71% in the paper) the amplifying mechanism with Cosmic Rays would amplify this small increase in the sun's output. The ACRIM TSI dataset would be able to explain most of the warming over the last 30 years as
Scafetta 2009 documents. Note that this does not include changes from Cosmic Rays or other solar amplifying mechanisms.
Now the question is, what has solar activity done over the last 30 years? Fortunately, there are other solar indicies other than TSI than can be measured to determine how active the sun was.
Solar Cycle 22
ran more solar flux than Solar Cycle 21 did, which is an indicator of a rise in solar activity. Note the tremendous increase in solar activity over the entire 20th Century.
GCRs reached an all time record low in 1992, which gives credence to the ACRIM dataset showing increasing TSI (an indicative of increasing solar activity) over the last 30 years.
In addition to all of the variables above that contradict PMOD's depiction of a flat line, satellite based measurements and ground based measurements have both confirmed an increase in TSI reaching Earth's Surface.
From
Pinker et. al 2005,
"We observed an overall increase in S from 1983 to 2001 at a rate of 0.16 watts per square meter (0.10%) per year."
This probably has to do with Cloud Cover decreasing, since increased solar irradiance alone cannot be responsible for such a large increase in solar radiation reaching Earth's Surface. The decrease in Cloud Cover, caused by GCRs is what is creating an overall upward trend in solar radiation reaching Earth, an indicative of increased solar activity. If this increase in Solar radiation is caused by a decrease in Cloud Cover, the 0.16 w/m^2 per year would not be an accurate representation of a forcing, since decreasing Cloud Cover would allow for more infared energy to be radiated out to space. Overall though,
Clouds have a cooling effect, so a decrease in cloud cover would result in a positive radiative forcing on Earth's Energy Budget.
Forgan et. al 2005 also finds an increased trend in solar radiation reaching Earth's Suface, which began in the late-1980s. They find that decreases in Cloud Cover can largely be responsible for this increase in solar radiation reaching Earth's Surface.
This decrease in Cloud Cover, likely caused by GCRs is what likely contributed to most of the climate change observed over the last 30 years.
Some scientists argue that a decrease in aerosoles, sunlight-reflecting particles, are what are creating an increase in solar radiation by 3 w/m^2. Unfortunately for their hypothesis, the radiative forcing of aerosoles during the 20th Century could have been
only -0.3 w/m^2, and there are still aerosoles in the air from human activity, which means that the amount of increased solar radiation from a decrease in aerosoles is minimal, and cannot explain the increase in solar radiation. A decrease in Cloud Cover is sufficient to explain the increase in solar radiation reaching Earth's Surface, which ties in with an increase in solar activity.
Later in the video, Peter Sinclair shows a graph that purports to show what the rest of the data would look like up to the present, which is an extension of Friis-Christensen and Lassen's 1991 data. The result showed a downward sloping line of solar activity, which would correspond to an increase in the solar cycle length. I honestly am not sure how the author of that graph created that downward sloping line of solar activity, when
solar cycle length was getting shorter during the later part of the 20th Century, not longer, like Peter Sinclair's graph shows. This is corresponding to an increase in solar activity.
Given that there are multiple errors in Peter Sinclair's video, it should be seriously re-edited to include the uncertainties that surround each piece of data that he presented, and to correct other claims that he made in the video.