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EXECUTIVE SUMMARY.. For Greenhouse Gas Emissions…

July 8th, 2009

These comments are based on the draft Technical Support Document for Endangerment Analysis for Greenhouse Gas Emissions under the Clean Air Act (hereafter draft TSD) issued by the Climate Change Division of the Office of Atmospheric Programs on March 9, 2009. Unfortunately, because I was only given a few days to review this lengthy document these comments are of necessity much less comprehensive and polished than they would have been if more time had been allowed. I am prepared, however, to provide added information, more detailed comments on specific points raised, and any assistance in making changes if requested by OAR.
The principal comments are as follows:

http://pathstoknowledge.files.wordpress.com/2009/05/greenhouse-effect-1.jpg
As of the best information I currently have, the GHG/CO2 hypothesis as to the cause of global warming, which this Draft TSD supports, is currently an invalid hypothesis from a scientific viewpoint because it fails a number of critical comparisons with available observable data. Any one of these failings should be enough to invalidate the hypothesis; the breadth of these failings leaves no other possible conclusion based on current data.

http://www.iceagenow.com/World_temperatures_falling_as_CO2_levels_keep_rising.jpg

As Feynman (1975) has said failure to conform to real world data makes it necessary from a scientific viewpoint to revise the hypothesis or abandon it (see Section 2.1 for the exact quote). Unfortunately this has not happened in the global warming debate, but needs to if an accurate finding concerning endangerment is to be made.

bbb

The left scale is atmosphere pressure in hPa.
The right scale is altitude in km.

Source: HadAT2 radiosonde observations, from Santer et al. (2006), p. 116, fig. 5.7 This graph compares the annual temperatures of the troposphere to the surface measurements in the tropics from 30 degrees North to 30 degrees South.Computer Model Predicted Temperature
Changes.

aaa

Comments on Draft TED for Endangerment Analysis
for GHG Emissions under CAA

The rate of temperature change is shown by the colour in degrees Celsius per decade. It is apparent that plot c) of warming caused by greenhouse gasses is strikingly distinct from other causes of warming. Plot f) is similar to plot c) only because the IPCC assumes that CO2 is the dominant cause of global warming.

The failings are listed below in decreasing order of importance in my view:
1. Lack of observed upper tropospheric heating in the tropics (see Section 2.9 for a detailed discussion).
The six plots show predicted temperature changes due to:

a) Sun
b) Volcanic activity
c) Anthropogenic CO2 and other greenhouse gasses
d) Anthropogenic ozone
e) Anthropogenic sulphate aerosol particles
f) All the above forcings combined

http://www.friendsofscience.org/assets/documents/FOS%20Essay/GlobalRelativeHumidity300_700mb.jpg

2. Lack of observed constant humidity levels, a very important assumption of all the IPCC models, as CO2levels have risen (see Section 1.7).
3. The most reliable sets of global temperature data we have, using satellite microwave sounding units, show no appreciable temperature increases during the critical period 1978-1997, just when the surface station data show a pronounced rise (see Section 2.4). Satellite data after 1998 is also inconsistent with the GHG/CO2/AGW hypothesis
2009 v
4. The models used by the IPCC do not take into account or show the most important ocean oscillations which clearly do affect global temperatures, namely, the Pacific Decadal Oscillation, the Atlantic Multidecadal Oscillation, and the ENSO (Section 2.4). Leaving out any major potential causes for global warming from the analysis results in the likely misattribution of the effects of these oscillations to the GHGs/CO2 and hence is likely to overstate their importance as a cause for climate change.
5. The models and the IPCC ignored the possibility of indirect solar variability (Section 2.5), which if important would again be likely to have the effect of overstating the importance of GHGs/CO2.

http://upload.wikimedia.org/wikipedia/en/a/a2/Climate_Change_Attribution.png
6. The models and the IPCC ignored the possibility that there may be other significant natural effects on global temperatures that we do not yet understand (Section 2.4). This possibility invalidates their statements that one must assume anthropogenic sources in order to duplicate the temperature record. The 1998 spike in global temperatures is very difficult to explain in any other way (see Section 2.4).
7. Surface global temperature data may have been hopelessly corrupted by the urban heat island effect and other problems which may explain some portion of the warming that would otherwise be attributed to GHGs/CO2. In fact, the Draft TSD refers almost exclusively in Section 5 to surface rather than satellite data.
The current Draft TSD is based largely on the IPCC AR4 report, which is at best three years out of date in a rapidly changing field. There have been important developments in areas that deserve careful attention in this draft. The list includes the following six which are discussed in Section 1:
• Global temperatures have declined—extending the current downtrend to 11 years with a particularly rapid decline in 1907-8; in addition, the PDO went negative in September, 2007 and the AMO in January, 2009, respectively. At the same time atmospheric CO2 levels have continued to increase and CO2 emissions have accelerated.

http://www.theoildrum.com/uploads/12/sst_global.jpg
• The consensus on past, present and future Atlantic hurricane behavior has changed. Initially, it tilted towards the idea that anthropogenic global warming is leading to (and will lead to) to more frequent and intense storms. Now the consensus is much more neutral, arguing that future Atlantic tropical cyclones will be little different that those of the past.
Comments on Draft TED for Endangerment Analysis for GHG Emissions under CAA
• The idea that warming temperatures will cause Greenland to rapidly shed its ice has been greatly diminished by new results indicating little evidence for the operation of such processes.
• One of the worst economic recessions since World War II has greatly decreased GHG emissions compared to the assumptions made by the IPCC. To the extent that ambient GHG levels are relevant for future global temperatures, these emissions reductions should greatly influence the adverse effects of these emissions on public health and welfare. The current draft TSP does not reflect the changes that have already occurred nor those that are likely to occur in the future as a result of the recession. In fact, the topic is not even discussed to my knowledge.


• A new 2009 paper finds that the crucial assumption in the GCM models used by the IPCC concerning strongly positive feedback from water vapor is not supported by empirical evidence and that the feedback is actually negative.
• A new 2009 paper by Scafetta and Wilson suggests that the IPCC used faulty solar data in dismissing the direct effect of solar variability on global temperatures. Other research by Scafetta and others suggests that solar variability could account for up to 68% of the increase in Earth’s global temperatures.

http://www.realclimate.org/images/weather_vs_climate.jpg
These six developments alone should greatly influence any assessment of “vulnerability, risk, and impacts” of climate change within the U.S., but are not discussed in the Draft TSD to my knowledge. But these are just a few of the new developments since 2006. Therefore, the extensive portions of the EPA’s Endangerment TSD which are based upon science from the IPPC AR4 report are no longer appropriate and need to be revised before a TSD is issued for comments.

http://wattsupwiththat.files.wordpress.com/2008/05/hadcrut-hp-pdo.jpg
Not only is some of the science of the TSD out-of-date but there needs to be an explicit, in-depth analysis of the likely causes of global warming in my view. Despite the complexity of the climate system the following conclusions in this regard appear to be well supported by the available data (see Section 2 below):
A. By far the best single explanation for global temperature fluctuations appears to be variations in the PDO/AMO/ENSO. ENSO appears to operate in a 3-5 year cycle. PDO/AMO appear to operate in about a 60-year cycle. This is not really explained in the draft TSD but needs to be, or, at the very least, there needs to be an explanation as
2009 vii
Executive Summary
to why OAR believes that these evident cycles do not exist or why they are so unimportant as not to receive in-depth analysis.
B. There appears to be a strong association between solar sunspots/irradiance and global temperature fluctuations. It is unclear exactly how this operates, but it may be through indirect solar variability on cloud formation. This topic is not really explored in the Draft TSD but needs to be since otherwise the effects of solar variations may be misattributed to the effects of changes in GHG levels.
C. Changes in GHG concentrations appear to have so little effect that it is difficult to find any effect in the satellite temperature record, which started in 1978.
D. The surface measurements (such as HADCRUT) are more ambiguous than the satellite measurements in that the increasing temperatures shown since the mid-1970s could either be due to the rapid growth of urbanization and the heat island effect or by the increase in GHG levels. However, since no such increase is shown in the satellite record it appears more likely that urbanization and the UHI effect and/or other measurement problems are the most likely cause. If so, the increases may have little to do with GHGs and everything to do with the rapid urbanization during the period. Given the discrepancy between surface temperature records in the 1940-75 and 1998-2008 and the increases in GHG levels during these periods it appears even more unlikely that GHGs have as much of an effect on measured surface temperatures as claimed. These points need to be very carefully and fully discussed in the draft TSD if it is be scientifically credible.
E. Hence it is not reasonable to conclude that there is any endangerment from changes in GHG levels based on the satellite record, since almost all the fluctuations appear to be due to natural causes and not human-caused pollution as defined by the Clean Air Act. The surface record is more equivocal but needs to be carefully discussed, which would require substantial revision of the Draft TSD.
F. There is a significant possibility that there are some other natural causes of global temperature fluctuations that we do not yet really understand and which may account for the very noticeable 1998 temperature peak which appears on both the satellite and surface temperature records. This possibility needs to be fully explained and
viii March 16,
Comments on Draft TED for Endangerment Analysis for GHG Emissions under CAA
discussed in the Draft TSD. Until and unless these and many other inconsistencies referenced in these comments are adequately explained it would appear premature to attribute all or even most of what warming has occurred to changes in GHG/CO2 atmospheric levels.

http://www.boilermakers.org/files/news/V48N2/V48N2_chart_emissions.jpg

These inconsistencies between the TSD analysis and scientific observations are so important and sufficiently abstruse that in my view EPA needs to make an independent analysis of the science of global warming rather than adopting the conclusions of the IPCC and CCSP without much more careful and independent EPA staff review than is evidenced by the Draft TSP. Adopting the scientific conclusions of an outside group such as the IPCC or CCSP without thorough review by EPA is not in the EPA tradition anyway, and there seems to be little reason to change the tradition in this case. If their conclusions should be incorrect and EPA acts on them, it is EPA that will be blamed for inadequate research and understanding and reaching a possibly inaccurate determination of endangerment. Given the downward trend in temperatures since 1998 (which some think will continue until about 2030 given the 60 year cycle described in Section 2) there is no particular reason to rush into decisions based on a scientific hypothesis that does not appear to explain much of the available data.
Finally, there is an obvious logical problem posed by steadily increasing US health and welfare measures and the alleged endangerment of health and welfare discussed in this draft TSD during a period of rapid rise in at least CO2 ambient levels. This discontinuity either needs to be carefully explained in the draft TSD or the conclusions changed.

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DETAILED LOOK AT RECENT INDIAN RAINFALL, CROP AREAS AND FORECAST..

July 8th, 2009

DETAILED LOOK AT RECENT INDIAN RAINFALL,
CROP AREAS AND FORECAST
The Indian Meteorology Center, recently lowered their forecast for
summer rainfall in key crop growing areas from earlier predictions
of above normal rainfall. They did this, partly, because they
blew the earlier forecast for June, which was below normal in many areas
(see rainfall for June below), and also due to the possibility of El Nino forming.
However, if you look at the table below (IMD’s forecast and actual Monsoon
rains), close scrutiny will show how INACCURATE THEIR FORECASTS
HAVE BEEN OVER THE YEARS
_______________________________________________________________________
(Chart)
JUNE RAINFALL IN KEY INDIAN REGIONS. THOUGH INDIAN MONSOON
STARTED EARLY IN THE SOUTH, AS WE HAVE BEEN SAYING FOR A
MONTH, THE MONSOON WOULD BE SLOW TO ARRIVE IN MOST
CROP AREAS AND THIS HAS SPARKED A “FEEBLE” RALLY IN COTTON
AND HELPED KEEP SUGAR PRICES HIGHER
JUNE MONSOON WAS DRY WITH MOST MAIN REGIONS WELL BELOW NORMAL..DUDES!
HOW ACCURATE HAS THE INDIAN MET CENTER BEEN ON THEIR FORECASTS OVER THE YEARS?
Since 1989, the IMD forecast was fairly good through about the year 1996,
but looked how the accuracy has dropped off in most other years, except
2005 and 2008 which were good forecasts. Goes to show you MORE TECHNOLOGY
WEATHER MODELS, ETC. ARE NOT NECESSARILY A GOOD THING!
The light blue box for 2009 shows their latest forecast of slightly below
normal rainfall, but should this be believed? I don’t trust them, that’s my comment.
The question now becomes, will rainfall be above trendline or much more
below trend? History in at least 6 of the last 9 years would say it would be
the opposite–wetter!–but that is a stupid way to make a weather forecast.
Overall, signals are very mixed in the longer term picture, due to the
-AO index (wetter), warming at Nina 3.4 (drier), SST’s around India (wetter ).
I do see an increase in rainfall in some key areas the next week or two, and
this or may not be important to the cotton and sugar markets, but as far
as predicting above  normal trendline yields and general rainfall in all areas–
I will keep my earlier prediction of below normal rainfall in some regions
and probably slightly below normal trendline yields (This is not easy
to predict due to conflicting signals)
CLOSER LOOK AT RECENT RAINFALL
Rainfall deficits in most key sugarcane and cotton regions since
June. In the U.S. a delay in rainfall of a couple-three weeks is
no big deal, in India, it is more important. Planting of cotton is critical
the next couple weeks. I still think between 30-50% of India’s cotton planting
activity will be affected over the next week and may “possibly” improve in
about 10 days or so in the north, but some yield reductions possible
ISN’T MUCH OF INDIA’S MAIN CROP REGIONS IRRIGATED?
About 45% of India’s crop growing areas are irrigated.
So, they depend greatly on the monsoon. While the area under
irrigation is higher than most world countries, it is lower
than almost all major countries, in which agriculture is
a significant part of GNP!
MODELS HAVE BEEN OVERZEALOUS PREDICTING RAINS, AND
WE HAVE NOT BITTEN YET ON GENERAL GOOD RAINS, EVERYWHERE.
FORECAST FROM A WEEK AGO-OVERZEALOUS BY SOME MODELS
THE FORECAST?
Sorry, I am including the GFS forecast of rainfall for the next week
below, which any high school student studying meteorology or even
my cats can supply you with. But for what it is worth, you can see
the increased  rainfall forecast in the black circles areas and
below normal in the white (next 7 days)
I believe that Uttar Pradesh is the leading sugarcane
region in India. That area will still have problems over the next week.
While Gujurat cotton areas will see some rain this next week, the left
circle still shows somewhat below normal rainfall and some planting
problems. Further south and east, conditions should improve in
Maharashtra, which produces about 15% of India’s sugarcane.
It appears that over the next week, at least 50% of both India’s cotton
and Sugarcane region will still have below normal rainfall. Not totally
dry, but still some problems areas.
Seasonally, the northern growing areas should see an increase in rainfall
by the 11-15 day period and beyond and most models show this, but
we have to wait and see if models are a little overzealous and some
areas get short changed. If we had a +AO index and cooler SST’s
in the N. Indian Ocean, I would have higher confidence predicting much
more severe problems mid-late July. Without that, my confidence is a
bit lower as we head into mid-late July, but in the short term, I still
see some problem areas and again, as mentioned several times,
want to keep my forecast of slightly below normal trendline
yields for sugarcane and possibly cotton with moderate confidence
RAINFALL FORECAST BY GFS THROUGH JULY 9TH
dry white circles
normal to slightly above black circles

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CORN/SOYBEAN WEATHER UPDATE

July 8th, 2009
CORN/SOYBEAN WEATHER UPDATE
corn should collapse over the next 2 weeks
I see no change in the generally good weather for corn and soybean
crops into mid-month. Some talk about a hot-dry ridge right now
in the corn belt mid-month we are fading with -AO and neutral to -NAO
index. I do not think it will be a market factor but still needs to be
looked into (The wet planting weather in June for soybeans
in Heilojang as well as the cool weather that slowed corn growth
in Jilin). Weather in U.S. is generally bearish, no change, especially
corn with soybeans tied partly to outside markets
Though some models try to build a corn belt ridge the strong -AO
should help squelch it with cool eastern Midwest to Northeast
weather mid-July.
ENERGY
Take a look at the AO index for the month of June and how
negative she was. One key reason, along with -NAO for the cool
eastern weather. Still can’t see anything to get excited about
from a weather perspective to natural gas, but if there is a
surprise today in EIA (not saying it will be or not), it may be
friendly, but obviously will not change longer term big supply
situation.
2323
COFFEE
Interesting to see how the AAO index over the
South Pole was one of the most negative in recent memory,
too, but this DOES NOT always translate into colder weather
for Brazil coffee, such as this year. This will have to be
watched for a couple cold snaps entering Argentina in
mid-late July, but right now I don’t see a frost, but it
may turn cooler the second half of the month and may possibly
over some incentive for coffee to rally
WHEAT
Harvest will be slowed later this weekend in Kansas to
Illinois and Missouri from wet weather, but not sure
if a market factor, though see seasonal about going
long wheat against corn. Weather should improve
for Plains States harvest mid week next week again with
probably not long standing wet weather harvest concerns,
though quality of soft-red crop may still go down slightly
due to scab disease from wet weather
COTTON
Up yesterday mostly on worries over India Monsoon
and lower U.S. crop ratings in the U.S. per comments
the other day. I see some improvement down the
road for U.S. crop with some rains Texas around
July 7th and possibly the dry southern Delta regions.
However, yields may still be below trendline this year
due to South Texas drought and more rains will be
needed again in South Delta. Central China regions
around Shangdon have been dry and need to be looked into.
Indian Monsoon has been slow and planting is behind.
Models have been overzealous predicting rains and
though I do expect some important rains to fall, overall
over next 2 months will call for normal to 10% below normal
trendline yields for cotton,
Cotton is a crazy market as you know. It is possible, once
rains begin to increase over the next week in a few
cotton growing areas of India, and if the southern Delta
gets rain in about a week, that cotton could sell off again.
This market has many factors, though part of it has been weather.
Overall, difficult to get longer term perspective in this market
due to demand side of equation. Weather has been supportive
as commented last few weeks, a bit unsure longer term, but
will again still call for normal to below trendline yields China
and the U.S. as well, though not a disaster
Roemer
1212

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Global warmings effects on crop yields, and the worlds health.

July 8th, 2009

222

The Yields of Major Cash Crops such as Corn, and Wheat, are up!

Contrast between Continuing Improvements in US Health and Welfare and their Alleged Endangerment Described in the draft TSD
One of the problems with the EPA’s Endangerment TSD is the nearly complete disregard of observed trends in a wide array of measures which by and large show that despite decades of increasing anthropogenic greenhouse gas emissions the U.S. population does not seem to have been adversely affected by any vulnerabilities, risks, and impacts that may have arisen (to the extent that any at all have actually occurred as the result of any human-induced climate changes).
For instance, despite the overall rise in U.S. and global average temperatures for the past 30 years, U.S. crop yields have increased

333

(Figure 3-1), the population’s sensitivity to extreme heat has decreased (Figure 3-2), and our general air quality has improved (Figure 3-3). Further, there has been no long-term increase in weather-related property damage once changes in inflation, population size, and population wealth are accounted for (an essential step in any temporal comparison). All of these trends are in the opposite sense from those described in the EPA’s Endangerment TSD.
Figure 3-1: Yields of Major Cash Crops such as Corn and Wheat
Data sources: NCDC, USDA
64 March 16,
Some Major Inconsistencies in the Science of Global Warming that Need to Be Explained
Figure 3-2. Average Annual Heat-Related Mortality Per Standardized Million People in the U.S.
(Source: Davis et al., 2003).

444

Figure 3-3. Trends in ozone air quality
2009 65
Comments on Draft TED for Endangerment Analysis for GHG Emissions under CAA
Source: http://www.epa.gov/airtrends/ozone.html
Perhaps, most significant of all, the average lifespan of Americans has increased (Figure 2-5).

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Proof of temperature & World Climate Change

April 7th, 2009
Figure 1

Figure 1

Global Temperature Change over the last 1000 years

Source: Intergovernmental Panel on Climate Change

Figure 2

Figure 2

CO2 Concentration, temperature, and sea level continue to rise long after emissions are reduced.

Source: Intergovernmental Panel on Climate Change

Figure 3

Figure 3

Figure 3 - Comparison between modelled and observations of temperature rise since the year 1860

Source: Intergovernmental Panel on Climate Change

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