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8-07-11 How To use "Global Climate Measurements" to see causes of Climate Change
Wednesday, April 18, 2007 (14:31:49)
Posted by admin
08-07-11 Links will be added as useful ones are suggested. They must be based on a reliable series of consistent measurements over time. The start date can be recent, but the further back we can go is best.
The explanation of how to combine and use these measurements is below the links.
7-09-2008 edit: Here are links to time sequence scientific measurements of some relevant Earth Climate variables. So far no one has compared the amplitude of these many available measurements along the same time line. Comparing where each measured variable sits at the same time on its Extremes to Mean Line will reveal causal links between changes in variables like CO2 levels, solar output, volcanic eruptions, ocean currents, cloud cover, Earth's aggregate mean surface temperature, upper level sea temperatures, etc, etc.
How many of you will volunteer or help pay for constructing this measuring tool. All it takes is an agreement by the various govt and private groups who now collect and report these component measurements to input their daily or weekly results into this 3-D array Box.
USA/Can real time radiation network
Latest Mean Global Temperature From 1979 by Satellite.
Cryosphere Today World Ice Cover Maps
Canadian arctic cryosphere map 3 month changes video
Canadian measures and news about Northern ice cover .
Sea ice extent from Japan
Arctic sea ice news
DEOS Gulf Steam Velocities
Article Effects & Mechanism of Slowing
Sea Surface Temp Anomalies
North GS Sea Surface Temp Outline showing Sargasso Sea warming
World Sea Surface Temperature Maps
Global Sea Surface Temp Map
Ocean Weather
Near Earth Asteroid Tracking
IAU Minor Planet Center
Royal Observatory, Edinborough
Astronet
Sunspots & Geomagnetic Storm Warnings
SpaceWeather.com
NOAA Space Weather Prediction Center
CO2 levels rise 3 times faster than expected
Real Climate site for Climatologists on GS
Climate Patrol
How to measure Earth's heat balance with Joules.
Energy Bulletin on Peak Oil
Current Worldwide Earthquake Events
Center for Earthquake Reseach & Informatiion
Current Worldwide Vocanic Activity
Earthquake and Volcano links
Nitrogens massive bad effects
How To determine the causes of "Global Climate Change": thru time using split 3-D.". Directions below.
Create an +/- extreme bar graph of each variable, make the length of the bar be the range of values through time with max +/- min values at ends of bar; The bar will be the same length for each variable. e.g From the front, you would see a rectangular box with a series of vertical lines going from left to right: |||||| and so on.
Each line represents some variable like "Mean tropospheric temperature or 'total ice cover', etc.
Next, compute the mean of each variable through time so we can indicate its position on its Extreme)/Mean Line;
Next, show your start dates for each E/M line.
Next, show which variables have a common start date, e.g What is first date we have measurements common to any group of variables variables.
Next go forward in time and see how the means move with respect to each other.
Put these equal length E/ML lines vertically side by side with one another setting them an equal amount apart on the horizontal axis, varying where a line is within this array will give interesting results; especially by noticing which ones change first, and then organizing by which precedes which, from left to right(or right to left); i.e. a cause always precedes an effect.
Move this rectangular array box, with the proportions of .62 vertical to 1.62 horizontal(not golden mean, but I think better because it compares E/ML using Phi/phi, away from you through time and watch the relative changes between the locations of each measured variable. You can also look at this rectangular box from any side except top and bottom and observe the pattern of changes. The boxed array proportions are the Golden Ratio which reflects our universes geometry;
From the starting rectangle in front you would see the dots representing the variable's means position vary with respect to each other through time on each measurement's vertical E/MLine. From the side you would see the changes in lines that progress through time. Thus you can compare causal relationships in two ways side by side; i,e, using the front vertical E/M lines to compare with the side that shows the changes through time lines.
Then deduce which moves in what direction first. As we look from the right or left side of our front 2-D box we can see see how time line of these changes variables change with respect to one another and watch for crossing points, or extremes before changes.
From the front, we will also see distinct patterns that precede meaningful changes in long term variables that matter to mankind.
Computer Graph how they change with respect to each other over time;
which means you can see causal sequence between any two or more E/MLs you select, especially useful identifying 'negative feedback start points' between variables.
Conclusion: We have constructed a split 3-D Time Array Measurement Box that incorporates our scientific and geometric unit of logical integrity Phi/phi = 1.
Time is always measured by c, the speed of light in Planck units = minimum time it takes to see a change in an atomic state.
Figure out which +/- changes in variables precede which, so we can deduce which might cause what, and then try to predict the future consequences of present inputs. Remember, a cause always precedes an effect, by definition; but a preceding change in a variable does not always prove causation, sometimes only correlation, as its absence in some instances can demonstrate.
The hard part comes in figuring out the actual causal link(s) and then demonstrating it.
Use how your predictions are wrong to construct a theory that makes accurate predictions.
Task: Build this measuring tool. I do not have the time. Who will Volunteer?
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