In a study in the Journal of Geophysical Research a paper, Influence of the Southern Oscillation on tropospheric temperature, researchers Chris de Freitas, John McLean, and Bob Carter find that the El Niño-Southern Oscillation (ENSO) is a key indicator of global atmospheric temperatures seven months later. By their analysis they have shown that natural forces related to ocean heat cycles are the dominant influence on climate. See the WUWT post on it here and the original paper here.
This guest post by Bob Tisdale is a response of interest to both critics and supporters of the paper and illustrates how the multiyear processes of an El Nino event such as occurred in 1998 are missed. – Anthony
Regression Analyses Do Not Capture The Multiyear Aftereffects Of Significant El Nino Events
Guest post by Bob Tisdale
INTRODUCTION
This post illustrates why regression analyses do not capture the multiyear aftereffects of significant El Nino events. To emphasize this, I’ve provided a detailed explanation of the processes that take place before, during, and after those significant El Nino events, using graphics and videos from earlier posts.
EXAMPLE OF RESULTS FROM A REGRESSION ANALYSIS
Regression analyses are used by climatologists to determine and illustrate the impact on global temperature of one or more variables, such as ENSO, Solar Irradiance, and Volcanic Aerosols. Figure 1 shows the results of one such study. It is a multi-cell illustration of “Surface Temperature Variability Components” from Lean and Rind (2008) “How Natural and Anthropogenic Influences Alter Global and Regional Surface Temperatures: 1889 to 2006” [GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L18701, doi:10.1029/2008GL034864, 2008].
Link to Paper:
http://pubs.giss.nasa.gov/docs/2008/2008_Lean_Rind.pdf
http://i32.tinypic.com/2lmw477.png
Figure 1
My Figure 1 is Figure 2 from Lean and Rind (2008). Under the heading of “Datasets”, Lean and Rind write, “Monthly fluctuations in ENSO, volcanic aerosols, solar irradiance and anthropogenic influences are shown in Figure 2. The multivariate ENSO index, a weighted average of the main ENSO features contained in sea-level pressure, surface wind, surface sea and air temperature, and cloudiness [Wolter and Timlin, 1998], extends from 1950 to 2006. It is augmented with an index derived from Japan Meteorologial Agency sea surface temperatures from 1868 [Meyers et al., 1999]. Volcanic aerosols in the stratosphere are compiled by [Sato et al., 1993] since 1850, updated from giss.nasa.gov to 1999 and extended to the present with zero values. The adopted solar forcing, consistent with IPCC [2007], is less than half that reported in prior IPCC assessments. Monthly irradiances since 1882 are estimate d from competing effects of sunspots and faculae in observations made by space-based radiometers, extended into the past using solar flux transport simulations [Wang et al., 2005]. The anthropogenic forcing is the net effect of eight different components, including greenhouse gases, landuse and snow albedo changes, and (admittedly uncertain) tropospheric aerosols [Hansen et al., 2007] (inset, Figure 2d).”
Lean and Rind then go on to detail the analyses they performed. Under the heading of “Amplitudes and Patterns of Natural and Anthropogenic Influences,” they state, “Natural changes cannot account for the significant long-term warming in the historical global surface temperature anomalies. Linear trends in temperature attributed to ENSO, volcanic aerosols and solar irradiance over the past 118 years (depicted by the lines in Figure 2) are, respectively, 0.002, -0.001 and 0.007 K per decade. Only by associating the surface warming with anthropogenic forcing is it possible to reconstruct the observed temperature anomalies.”
Basically, using a short-term comparison of NINO3.4 SST anomalies and Global RSS MSU TLT anomalies, my Figure 2, regression analyses like those used by Lean and Rind argue that natural variables cannot explain the upward divergence of global temperature from NINO3.4 SST anomalies. And if natural variables cannot explain the additional rise in global temperature, then the anthropogenic global warming hypothesis dictates that anthropogenic forcings must cause the rest. BUT…
http://i32.tinypic.com/2rw9pbq.png
Figure 2
REGRESSION ANALYSES TREAT ENSO AS A “FORCING”, NOT AS A PROCESS WITH MULTIYEAR AFTEREFFECTS
Regression analyses regard El Nino events as a climate forcing of varying frequency and magnitude, the same way they consider other natural forcings such as volcanic aerosols and solar irradiance. They do not consider the multiyear processes that can occur after those El Nino events. Before presenting these, I’ll first provide a detailed description of the processes that take place before, during, and after significant El Nino events.
EL NINO OVERVIEW
For those new to the process of El Nino events, Bill Kessler and David B. Enfield, both of NOAA, provide excellent descriptions of ENSO in their ENSO Q&A web pages. Link to Bill Kessler’s:
http://faculty.washington.edu/kessler/occasionally-asked-questions.html
Link to David B. Enfield’s:
http://www.aoml.noaa.gov/general/enso_faq/
I’ll expand on their descriptions.
During non-El Nino years (La Nina and ENSO-neutral years), warm water accumulates in an area of the western tropical Pacific known as the Pacific Warm Pool (PWP); also known as the Indo-Pacific Warm Pool (IPWP). Refer to Figure 3.
http://i30.tinypic.com/b3tpah.gif
Figure 3 (Source CRCES. Link to follow.)
Some of the warm water in the Pacific Warm Pool is water that returns there after El Nino events (the Equatorial Countercurrent in the Pacific relaxes after an El Nino and the North and South Equatorial Currents move the warm water back from the eastern to the western equatorial Pacific). More on that later. Some of the warm water in the Pacific Warm Pool results from solar radiation that warms the tropical Pacific and from the trade winds that push those warm surface waters from east to west in the Pacific during La Nina events and during ENSO-neutral periods. And some of the buildup of warm water in the Pacific Warm Pool occurs during the El Nino event itself, when cloud amounts over the Pacific Warm Pool drop significantly, causing a major rise in downwelling shortwave radiation (visible light). During the 1997/98 El Nino, it has been estimated that downwelling shortwave radiation rose as much as 25 watts/sq meter over the PWP. Refer to Figure 4. (This change in downwelling shortwave radiation was discussed in my post Recharging The Pacific Warm Pool Part 2.)
http://i41.tinypic.com/2435kbb.jpg
Figure 4
Figure 4 is from the Pavlakis et al (2008) paper “ENSO Surface Shortwave Radiation Forcing over the Tropical Pacific”:
http://www.atmos-chem-phys-discuss.net/8/6697/2008/acpd-8-6697-2008-print.pdf
The accumulation of warm water in the Pacific Warm Pool over months and years from trade winds pushing surface waters west, the periodic transport of the warm water out of the PWP by El Nino events, the blast of downwelling shortwave radiation during El Nino events, and the replenishment of the warm water during the subsequent La Nina all cause the size and temperature of the Pacific Warm Pool to vary.
Figure 5 illustrates the variations in area and temperature of the Pacific Warm Pool. The illustration is from the CRCES webpage “Natural decadal-multidecadal variability of the Indo-Pacific Warm Pool and its impacts on global climate” by Mehta and Mehta:
http://www.crces.org/presentations/dmv_ipwp/
http://i28.tinypic.com/6e3skg.png
Figure 5
CRCES also provides a Quicktime movie (2.7MB) of the annual variations in Indo-Pacific Warm Pool area and SST anomalies here:
http://www.crces.org/presentations/dmv_ipwp/images/SST_WP.MOV
The variability of the Pacific Warm Pool can also be seen in the Western Equatorial Pacific Warm Water Volume, Figure 6, which is from my post Equatorial Pacific Warm Water Volume.
http://i34.tinypic.com/xfyro1.jpg
Figure 6
Note how, during the 1997/98 El Nino, the Western Equatorial Pacific Warm Water Volume (light blue curve) drops as NINO3.4 SST anomalies (black curve) rise. This is one indication that the warm water is being carried away from the Pacific Warm Pool during the El Nino event. Also note how quickly the Western Equatorial Pacific Warm Water Volume replenishes itself. It has “recharged” by the second phase of the 1998/99/00 La Nina.
The direction shifts in the Pacific Equatorial Currents that are part of an El Nino show how the warm water volume of the Pacific Warm Pool is lowered during those events. The Equatorial Countercurrent increases in size and carries the warm water from the Pacific Warm Pool to the east. When the El Nino ends, the Equatorial Countercurrent ebbs, and the North and South Equatorial Currents carry the warm water back to the west, to the Pacific Warm Pool. These shifts can be seen in Video 1 “Equatorial Currents Before, During, and After The 1997/98 El Nino” from my post of the same name:
http://bobtisdale.blogspot.com/2009/02/equatorial-currents-before-during-and.html
Video 1
And there are subsurface changes that take place during an El Nino event. The warm water that was in the Pacific Warm Pool, most of it below the surface, shifts east during the El Nino, where it rises to the surface. These changes in the subsurface waters of the Pacific can be seen in my Video 2 “Cross-Sectional Views of Three Significant El Nino Events – Part 1”. Link to post:
http://bobtisdale.blogspot.com/2009/02/cross-sectional-views-of-three.html
Video 2
Though not discussed in Video 2, the rise of the thermocline at the end of the 1997/98 El Nino is visible. “Rewind” to minute 3:00 and start the video. After the commentary, the thermocline rises, further illustrating that warm water that was once below the surface of the Pacific Ocean has been brought to the surface by the El Nino.
Some BUT NOT ALL of the warm water that had sloshed east during the El Nino returns to the Pacific Warm Pool during the subsequent La Nina. And the warm water that doesn’t return to the Pacific Warm Pool is carried westward by the Equatorial Currents of the Pacific, Figure 7, to the surface of the Western Pacific and the Eastern Indian Oceans.
http://i30.tinypic.com/wvzu6r.png
Figure 7
There, the warm water raises the surface temperature of the Western Pacific and the Eastern Indian Oceans, Figure 8.
http://i29.tinypic.com/2a75q2t.png
Figure 8
The transport of this warm water and its aftereffects can be seen in Video 3 “Recharging The Pacific Warm Pool”. Link to post:
http://bobtisdale.blogspot.com/2008/11/recharging-pacific-warm-pool.html
Video 3
In other words, warm water that was below the surface of the Pacific Warm Pool (and not included in the calculation of global temperature anomaly) is redistributed around the surface of the nearby oceans by the El Nino, (and it is now included in the calculation of global temperature). Phrased yet another way, before that El Nino, the warm water was not included in surface temperature record but afterward the warm water was included in surface temperature record. This raises global temperature anomalies without any heat input. Keep in mind that the rearranging of waters during an El Nino does not in and of itself create heat; it only shifts warm water from below the surface of the Pacific Ocean to the surface where it impacts temperature measurements.
THIS CAN BE SEEN AS UPWARD STEP CHANGES IN THE SEA SURFACE TEMPERATURE OF ~25% OF THE GLOBAL OCEANS
And those upward step changes after the 1986/87/88 and 1997/98 El Nino events can be seen in the sea surface temperatures of the East Indian and West Pacific Ocean, the black curve in Figure 9. Also illustrated in Figure 9 are scaled NINO3.4 SST anomalies (purple curve) and Sato Index data (green curve), which I’ve added to illustrate the timing of explosive volcanic eruptions that impact sea surface temperature (and global temperature).
http://i31.tinypic.com/24l5rlw.png
Figure 9
The area represented by the East Indian and West Pacific Ocean SST anomalies (the black curve in Figure 9) is shown in Figure 10.
http://i39.tinypic.com/5n55as.jpg
Figure 10
Refer to my posts for further information:Can El Nino Events Explain All of the Global Warming Since 1976? – Part 1
Can El Nino Events Explain All of the Global Warming Since 1976? – Part 2
SEA SURFACES OUTSIDE OF THE EQUATORIAL PACIFIC ARE ALSO WARMED BY THE EL NINO THROUGH THE EXCHANGE OF HEAT FROM THE ATMOSPHERE TO THE OCEAN
During the El Nino events, heat from the surplus of warm surface waters along the equatorial Pacific is pumped into the atmosphere where it is carried around the globe. This raises land surface temperatures, (not illustrated). And the higher atmospheric temperature also raises the surface temperature of the oceans outside of the tropical Pacific. These increases in SST can be seen in Video 4 “Global SST Anomaly Animation 1996 to 2009”. Video 4 is from my post “Animations of Weekly SST Anomaly Maps from January 3, 1996 to July 1, 2009.” There is no narrative with Video 4. The description is included in the post.
http://www.youtube.com/watch?v=1ir1w3OrR4U
Video 4
The exchange of heat from atmosphere to ocean in the East Indian and West Pacific Oceans adds to the elevated surface temperatures that are caused by the warm water that had been carried there by ocean currents, discussed earlier. The El Nino also warms the East Pacific, South Atlantic, and West Indian Oceans through the atmosphere. Those portions of ocean basins are in turn cooled by the La Nina event that follows. But there is another portion of an ocean basin where the heat from the El Nino lingers; that is, the SSTs of that ocean basin are not impacted proportionately by the La Nina. And that ocean basin is the North Atlantic.
THE SST ANOMALIES OF THE NORTH ATLANTIC ALSO HAVE UPWARD STEP CHANGES AFTER SIGNIFICANT EL NINO EVENTS
The title of the linked post “There Are Also El Nino-Induced Step Changes In The North Atlantic” explains the content. And these SST anomaly step changes in the North Atlantic correlate well with the step changes in the East Indian and West Pacific Oceans, though they result from different aftereffects of the significant El Nino events. Refer to Figure 11. Keep in mind that the North Atlantic is also impacted by the Atlantic Multidecadal Oscillation.
http://i39.tinypic.com/15cocop.jpg
Figure 11
Assuming the North Atlantic represents approximately 15% of the global ocean surface area, then the East Indian and West Pacific plus the North Atlantic account for approximately 40% of the global ocean surface area. In the years that follow significant El Nino events, ocean currents and atmosphere-ocean processes “mix” the lingering elevated SST anomalies of the East Indian, West Pacific and North Atlantic Oceans with the remaining 60% of the global oceans. This causes the rise in global SST anomalies that presents itself as the divergence of Global SST anomalies from NINO3.4 SST anomalies, similar to that shown in Figure 2. That natural increase in SST anomalies is mistaken for warming due to anthropogenic causes.
THESE STEP CHANGES ALSO APPEAR IN GLOBAL LOWER TROPOSPHERE TEMPERATURE (TLT) ANOMALIES
The RSS MSU Time-Latitude Plots of Global TLT illustrate the transport of heat from the tropics toward the poles that result from significant El Nino events. This is illustrated and discussed in detail in my post “RSS MSU TLT Time-Latitude Plots…Show Climate Responses That Cannot Be Easily Illustrated With Time-Series Graphs Alone”. In that post, I combined Time-Series Graphs with the Time-Latitude Plots to show the effects of the significant El Nino events. But even without the time-series graphs, the 1997/98 El Nino is easy to find in Figure 12. It appears as an area of elevated tropical TLT anomalies that begins in 1998 and ends about a year later. Note that most of the heat that had been in the tropics is transported to the mid-to-high latitudes of the Northern Hemisphere, where it lingers through the 1998/99/00 La Nina. Regression analyses cannot capture that lingering aftereffect of an El Nino.
http://i42.tinypic.com/2hfukjm.jpg
Figure 12
The Time-Latitude Plots also show the impacts of the 1986/87/88 El Nino and limited TLT response to the 1982/83 El Nino. Refer to Figure 13. The 1982/83 El Nino was counteracted by the explosive eruption of El Chichon.
http://i41.tinypic.com/2vwzmdj.jpg
Figure 13
THE DIFFERENCE BETWEEN SIGNIFICANT EL NINO EVENTS AND THE OTHERS
This post primarily discussed the processes and aftereffects of the significant El Nino events of 1986/87/88 and 1997/98, using the 1997/98 El Nino as reference in many of the discussions and links. There were two other significant El Nino events since 1970, the 1972/73 and 1982/83 El Nino events. The 1982/83 El Nino was counteracted by the eruption of El Chichon, which turned it into a nonentity. As illustrated in Figure 14, there are striking similarities between the multiyear periods that followed the 1972/73, 1986/87/88, and the 1997/98 El Nino. This was discussed in detail in my post “Similarities of the Multiyear Periods Following Significant El Nino Events Since 1970.” Are these lesser El Nino events simply aftereffects of the significant El Ninos?
http://i27.tinypic.com/2gt6k5t.png
Figure 14
CLOSING
Regression analyses do not account for the multiyear aftereffects of significant El Nino events and do not account for the resulting El Nino-induced step changes in SST, TLT, and Land Surface Temperatures.
Regression analyses falsely attribute the divergence of global temperature anomalies from NINO3.4 SST anomalies to anthropogenic causes when, in fact, the divergence is caused by the lingering aftereffects of significant El Nino events.
The additional rise in global temperatures after the significant El Nino events is in reality caused by subsurface waters from the Pacific Warm Pool being transported to the surface and remaining there after the El Nino event has ended.
SOURCES
Sources of the data used in the graphs are provided in the linked posts.
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Ron de Haan (07:00:43) : It seems people often discount biological effects, even after the planet was bio-engineered to change to atmosphere from anaerobic to aerobic. I don’t necessarily believe that Snowball Earth happened, but it reminds me of dry rot. Dry rot is a fungus (or maybe more than one) that can live on dry wood. It does so by sending out hyphae tens of feet away to a source of water. I can imagine a fungus on Snowball Earth, perhaps in a symbiotic relationship with algae, that could hasten the melting of snow and ice. It might be advantageous to be dark as that would open up more biochemical processes due to the increased temperature achieved. To make up for the lack of nutrients in the snow and ice, hyphae could be deployed deep within the ice to scavenge what nutrients were trapped there. So a fungus could explain how to get out of the Snowball Earth mode.
Nasif Nahle (21:12:03) :
However, I didn’t include examples:
2009.5 6.25 1365.26 1365.92
And where did you get the % for 2009 from?
matt v: You asked, “This article claims that the upcoming possible EL NINO may warm global climate for 5 years .This sounds excesive to me . What do your own studies show?”
If we run into a period when El Nino events dominate, global temperatures will rise, as they always have. And if La Nina events dominate, global temperatures will fall. Other than that, I’m not much into predictions.
But the Guardian’s description of the upcoming Lean and Rind paper is ridiculous: “The work is the first to assess the combined impact on global temperature of four factors: human influences such as CO2 and aerosol emissions; heating from the sun; volcanic activity and the El Niño southern oscillation, the phenomenon by which the Pacific Ocean flips between warmer and cooler states every few years.”
It’s the first? There are dozens, maybe hundreds, of similar analyses.
Leif Svalgaard (08:13:25) :
Nasif Nahle (21:12:03) :
However, I didn’t include examples:
2009.5 6.25 1365.26 1365.92
And where did you get the % for 2009 from?
From samples of the upper sedimentary layer from the Pacific Coast. Coordinates: 20° 39′ 55.22″ N 105° 16′ 3.29″ W. The period comprehends the last 30 years.
I have to make clear that the first 2.5 cm from the layer exhibits the percentage and it is not combined with previous layers, so you cannot divide 6.25%/20 years to obtain a yearly trend because the SI has been fluctuating, i.e. the solar activity is not static.
Nasif Nahle (10:40:17) :
“And where did you get the % for 2009 from?”
From samples of the upper sedimentary layer from the Pacific Coast. Coordinates: 20° 39′ 55.22″ N 105° 16′ 3.29″ W. The period comprehends the last 30 years.
Shouldn’t it then be labeled 2009.5-15 = 1994.5 instead?
Stephen Wilde (15:06:53) :
“Bob Tisdale (13:27:45) Ah, the ocean skin issue, Bob said: “I’ve read that LW radiation may only heat the skin, but through mixing caused by waves and wind stress turbulence, it would warm the mixed layer of the ocean. This in turn would affect the temperature gradient between the mixed layer and skin, dampening the outward flow of heat from the ocean to the atmosphere. Yet I’ve never been able to find any quantification of those effects. Are they minute? Are they significant? Have you seen a study that determines those effects of LW radiation?”
I see the ocean skin proposal as an essential prop for AGW and have given it much thought for months. This article is my considered position:
http://climaterealists.com/index.php?id=3735”
Bob Tisdale,
There are problems with Stephen Wilde’s. It doesn’t describe the details at the surface skin and its relation to the energy fluxes that are taking place.
It is not only mixing that absorbs the downwelling radiation into the ocean bulk.
In order to enhance evaporation, and upward radiation, as well direct transmission of energy to the air, the surface skin temperature must increase in temperature as a result of increase in downwelling radiation.This has an effect on the rate of loss of energy from the bulk of the ocean, which absorbs solar short wave radiation. The ocean bulk is generally warmer than the surface skin, because maintainance of energy balance between incoming short wave radiation and outgoing energy, requires upward transmission of the absorbed energy to the surface by convection. The rate of convection increases with increasing difference in temperature between the warmer and colder regions of the fluid. Therefore the increase in surface skin temperature, which must result from absorbing down welling radiation, will reduce the loss of solar energy absorbed by the ocean bulk.
I haven’t seen a quantitative analysis of this effect, but it makes sense looking at the physics.
eric (06:57:53)
If you read my article properly you will see that I DO deal carefully with the
“details at the surface skin and its relation to the energy fluxes that are taking place”.
The conclusion is that the region involved in evaporation is a buffer between the air and the water just below that region and the interactions occurring within that evaporative layer, especially as regards an increased rate of evaporation, DO NOT permit a slowing down of the ‘normal’ rate of energy flow from ocean bulk to the air.
It does not necessarily follow that just because the topmost molecules get a little warmer then the energy flow from below the evaporating region is slowed down. The loss of latent energy during the evaporative process seems to be enough to prevent such a reduction in the energy flow. Indeed it might even enhance it due to the large value of the latent heat of evaporation.
Unless, that is, you can refer me to proper evidence to the contrary rather than a mere assumption.
” Indeed it might even enhance it due to the large value of the latent heat of evaporation.”
I’m sure there is a wind speed (as a function of sea – temperature) for which heat loss by evaporation equals gain from sunlight (under cloudless skies).
Even under a tropical sun I guess these wind-speeds may be quite low say 15kts at 35C. Those figures are a total guess but I think establishing just what the (insolation – evaporation) heat flow is is probably important.
Leif Svalgaard (23:21:46) :
Nasif Nahle (10:40:17) :
“And where did you get the % for 2009 from?”
From samples of the upper sedimentary layer from the Pacific Coast. Coordinates: 20° 39′ 55.22″ N 105° 16′ 3.29″ W. The period comprehends the last 30 years.
Shouldn’t it then be labeled 2009.5-15 = 1994.5 instead?
At the risk of being misunderstood because I am barely finishing the first third of the investigation, I think that your label wouldn’t be realistic because at the end of this year we will make a comparison with sand which was extracted from the seabed and placed in the intertidal zone, consequently we would be talking about the most recent changes, i.e. those corresponding to the period 2000-2009, and the label “1994.5” would give the impression that the last 14.5 years were not included in the assessment, for which I would see myself forced to explain that the period includes the dating up to date. I’d prefer to label it “today”, as Dr. Bond pointed out in his paper.
Bob Tisdale
In one of your previous posts[ Can El Nino events explain all of the global warming since 1976] you noted that there had been three significant steps in the temperature rises since 1976. I agree that there does seem to be three more significant temperature rises but they seem to occur not after El Ninos but shortly after the Solar max. and during mostly Enso neutral years. In the absence of El Ninos, could solar factors [three very strong past solar maximums and solar cycles] be behind these three temperature rises? The common factor for all three step temperature rises is that they all happened immediately post solar maximum of a high solar year with no major La Nina to take the temperature down again as typical was the case in the past.
.
2000 Temp Anom. 0.270 C solar max year [enso neutral]
2001 Temp.Anom.0.409 C 2ND near solar max[neutral 10 months , La Nina -2months
1989 Temp Anom 0.103 C solar max year [enso neutral]
1990 Temp Anom 0.254 C [ La Nina 5 months , neutral 7 months]
1979 Temp anom 0.049 C solar max year [enso neutral]
1980 Temp Anom 0.0.77 C [enso neutral]
1981 Temp Anom 0.120 C enso neutral]
Global Temperature anomalies per hadcrut3
AMO was not a significant warming factor and mostly low or negative. PDO was also negative mostly in 2000-2001 and 1989-1990 but only slightly positive in 1979[0.34], 1980[0.6] and 1981[0.92]
Nasif Nahle (10:02:17) :
I’d prefer to label it “today”, as Dr. Bond pointed out in his paper.
But if it really is some kind of mean over perhaps a decade, you can’t compare with TSI of “today”. You have to compare TSI and %H for the same real intervals, no matter how they are ‘labeled’.
Leif Svalgaard (17:18:47) :
Nasif Nahle (10:02:17) :
I’d prefer to label it “today”, as Dr. Bond pointed out in his paper.
But if it really is some kind of mean over perhaps a decade, you can’t compare with TSI of “today”. You have to compare TSI and %H for the same real intervals, no matter how they are ‘labeled’.
Indeed, my intention is to separate the percentages year by year. I have obtained the %HSG for the last 30 years period and I’ve tested the resolution for the last seven months; the value until now is 6.25% obtained by following the standard methodology.
I’m also running in an experiment exposing quartz grains to insolation and registering the changes, so I’ll have a way of comparing the results with other researchers and have a more accurate resolution after 12 months of exposition.