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The Environment
If the observation of the amount of heat the sun sends the earth is among the most important and difficult in astronomical physics, it may also be
termed the fundamental problem of meteorology, nearly all whose phenomena would become predictable,
if we knew both the original quantity and kind of this heat.
Samuel Pierpont Langley (1834-1906), Report of the Mount Whitney Expedition. Quoted in Abbot, 1958, p 17. Secretary of Smithsonian Institute. Langley's chief scientific interest was the sun and its effect on the weather, and believed that all life and activity on the Earth were made possible by the sun's radiation. In 1878 he invented the bolometer, a radiant-heat detector that is sensitive to temperature of one hundred-thousandth of a degree Celsius.
Planetary positions, as represented by The Berg Timer, are directly responsible for, or at least highly predictive of, solar activity.The Sun affects Earth weather, geophysics, behavior.
The Berg Timer brings all scientific disciplines together, from solar and planetary physics to meteorology to geology to human biology and behavior.
Planetary Positions and Solar Activity 
Below is shown the total number of flares occurring each day before and after daily Berg Timer equals "7" strength or more.
The frequency of flares is greatest within a one week window of BT = > 7, with the greatest frequency of flares exactly two days after BT hits 7 strength or more. This is based on 158 occurrances of BT equalling 7 or more from 1998 through 2004.
Another solar data source:
2005 Solar Flares
Below are Total Daily solar flares for 2005 compared to the Berg Timer. The three strongest flare periods occurred within nine days of the three strongest BT dates:
BT=13 on Jan 21, flares peaked Jan 15 -- within six daysBT=11 on July 20, flares peaked July 13 -- within seven days
BT=11 on Aug 31, flares peaked Sep 9 -- within nine days
The Sun Affects Weather, Geophysics, Behavior
Solar flares emit electron particles. These electrons interact with Earth's magnetic field and atmosphere causing weather, geophysical and behavioral changes. There are various theories explaining the mechanics of this transition. The strongest theories are that charged particles from the sun affect Earth's magnetic field and increase atmospheric nucleation which then affects cloud formation and thus the weather.
Below are the average number of electron particles (greater than 2 million electron volts) occurring on each day before and after the Berg Timer is equal to or greater than 7 strength. Electrons increase just before and after BT => 7. This demonstrates the same "before and after BT =7" profile of the daily indices presented on the Weather, Behavior and Natural Disaster pages. The strong increases in electron fluence just before and after BT =7 matches the before and after BT =7 increases in temperature, precipitation, lightning, wildfires, dust storms, hail, flood, wind speed, ozone, earthquakes, tsunamis, volcanoes, tornadoes, assaults, aircraft fatalities, railroad injuries, auto accidents, fire injuries, and asthma episodes. It looks like electron fluence is the causal factor, or at least one of the causal factors, accounting for the solar effect on weather, geophysics and behavior.
Another proof that the Berg Timer is able to forecast Earth atmospheric changes is BT's correlation to atmospheric angular momentum.
Solar activity affects atmospheric and oceanic circulations which then have an effect on Earth's angular momentum (the angular momentum of any object in motion is always constant unless its equilibrium is changed or if it's affected by outside influences).
Below are compared long-term Earth's Angular Momentum (AM) and the Berg Timer (with 12 month lag) from 1958 through 2001. When BT is high solar activity is high causing Westerly Pacific equatorial winds to increase in speed. These high speed winds induce a slowing of Earth rotation since it is the principle of angular momentum that any change in one factor has to be compensated for in another factor --- high winds slow down Earth rotation. Thus high BT correlates with high AM.
Note the major peaks in both BT and AM in 1983, one of the largest El Nino events in history, accurately forecasted by BT. High speed Pacific westerly winds cause El Nino by blowing warm ocean water eastward from the westward Pacific to the eastern Pacific. See the El Nino study for Berg Timer/El Nino correlation charts.
Aurora
Below are compared the power output of Earth's North Pole Aurora and the Berg Timer for 2004.
The NOAA POES Hemispheric Power Data lists provide information about the estimated power in gigawatts deposited in the polar regions by energetic particles during transits over the poles by the NOAA POES (formerly called TIROS) satellites. Power output increases just before and after high BT.
Below is shown the average power output on the days preceeding and following the occurrance of BT => 7.
Power output is 96% greater in the three days preceeding BT=>7, and 72% greater in the three days following BT=>7.
Global Ozone
Below are compared total monthly avg global ozone (60North to 60South Latitude) in Dobson Units and the 7-month Berg Timer.
This discovery goes way back to 1988 when I first published this in WEF and also presented it at the 'Foundation For The Study Of Cycles Symposium' of that year. Since ozone is produced by sunlight this is not an unexpected finding, given BT's correlation to solar activity.
There are two basic schools of thinking with regard to why our ozone layer has been decreasing. On one side are the chemists who say that ozone is decreasing because of CFC's in our atmosphere. On the other side are the dynamicists who say that ozone depletion is part of a natural atmospheric cycle. This is a hot topic because environmentalists want stricter controls on chemical companies.
The correlation above sheds some light on this controversy. It may in fact substantiate the dynamicists' point of view that the ozone decrease scare of 1982-83 was a natural phenomenon as indicated by the remarkable similarity between BT and ozone.
Data source: NOAA ozone.
Monsoon
Below are compared the yearly Berg Timer (Jun to Sep each year) and Summer Monsoon in India.
Data source: IRI Data Library.
Hydroelectric Power Generation
Below are compared yearly U.S. hydroelectric power generation (in Billions of Btu), the 2-yr Berg Timer since 1968 and forecast through 2010.
Short-term generation can also be forecasted with great accuracy with daily and monthly BT - Precipitation forecasts for your area.
This positive correlation is mostly a function of rainfall. Note that on the Weather page yearly Berg Timer correlates positively to precipitation. So the relationship here isn't a surprise.
This shows how valuable BT can be for the power companies in ascertaining how much hydroelectric power they'll be able to supply.
Forecast: Hydroelectric power generation should have an upward bias through 2004. Then it should fall in 2005 and 2006. 2007 should be an up year and 2008 and 2009 down years. Power generation should be up in 2010.
El Nino
Below are compared the monthly Southern Oscillation Index and 2-yr Berg Timer (inverted) since 1955 with forecast through 2010. BT has been lagged six months for a more precise fit. High BT = High probability of El Nino.
A low SOI is indicative of El Nino (equatorial Pacific ocean warming). A high SOI is indicative of La Nina (equatorial Pacific ocean cooling). When BT is strong (BT is inverted in the above illustration) there is usually El Nino and La Nina when BT is weak.
Most noteworthy is the very strong El Nino in 1983 which was forecasted by Berg Timer. When El Nino is active India summer Monsoon rainfall is low. See Here for India Monsoon correlation.
Forecast: Expect El Nino effects to be evident 2002 through 2004. Then equatorial ocean cooling from 2005 through 2006, warming in 2007, cooling in 2008 and 2009, warming in 2010.
Water Quality
Below are compared Precipitation, Water Quality (Chloramines) and Berg Timer for Tucson Arizona during the Summer of 2000.
BT can forecast daily precipitation as provided on the Precipitation page. When BT is "0" in the above chart, precipitation was most probable in Arizona. Precipitation caused Chloramine levels to immediately drop after a rain. So BT is able to forecast water quality everywhere where water quality is affected by rainfall which includes all fresh water sources like lakes, rivers and streams. Low BT = peaking Chloramine levels.
Snow Depth - North Hemisphere & Eurasia
Below are compared yearly snow cover in the Northern Hemisphere, Eurasia and North America and yearly Berg Timer inverted.
When BT is low, snow cover is high. Since North America and Eurasia share the same snow cover trends, it makes me wonder if the Southern Hemisphere also shares the same trends. I'll see if I can find some snow cover data for the Southern Hemisphere which would probably be limited to South American mountain snow and Antarctica.
Snow Frequency - Estonia
Below are compared number of days of snow each year in Estonia and the 2 year Berg Timer (inverted) from 1892 to 1961.
Low BT = high snow frequency.
