6-15-19 How to use Global Climate Measurements to see causes of Climate Change
The date in front of Title shows the date of latest change or edit.
I have been watching these links for over ten years. One thing I have noticed is that the Gulf Stream is at least 50% stronger than it was 14 years ago. Much of the Arctic ice melt in the North Atlantic can be explained by the stronger than normal Gulf Stream. Skip forward a week at a time and watch the eddies and loops form as the GS weakens and then disappear when the GS strengthens. Coupled with the speed code(white is fastest) gives a good eyeball estimate of GS strength.
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.
How to combine and and compare these chains of measurements "OVER TIME" to show causation, i.e. which one(s) move first and in what sequences, is explained below these 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.
Your Radiation This Week Years of weekly reports by actual monitoring stations.
There is a discrepancy between these two radiation reports. The 'radiation network' below has decreased both in its number of over 40 cpm sites over the last year and its number of reporting sites. Since radiation levels are increasing(Fukushima is still pumping radiation into the oceans), then are the sites measurements actually provided by volunteers????
USA/Can real time radiation network
Latest Mean Global Temperature From 1979 by Satellite. This is reported monthly right after the first of the month.
It is independent of ground measurements which are often poorly sited and misreported.
SpaceWeather.com Great daily sunspot count and the Thermosphere's temperature. Plus a wealth of current Astronomical data.
Why CO2 can NOT cause global warming.
Deplorable Science Blog which tracks the massive official temperature measurement frauds, etc, by the warmists. For example, the record increase in Greenland ice mass in the 2016/17 winter. Since they used taxpayer dollars to lie to us that makes them criminals. They must be prosecuted.
Ice Age Now.info
The Hockey Stick vs Ice Core Data
Average Daily Sunspot Area. Not daily, but a good long term view of the declining tops of past cycles.
National Snow & Ice Data Center
Danish Meteorological Institute Arctic Ice Record
By USA Cryosphere Today World Ice Cover Maps Not operational since Trump took. office.???
Canadian arctic ice extent
Canadian measures and news about Northern ice cover .
Blocked 6-15-2019 DEOS Gulf Steam Velocities daily pictures. in April 2019, DEOS stopped updating the Gulf Stream pictures. No explanation. I emailed all three available email contacts with no response. Exactly the same "no daily upgrading" as the 'Cryosphere Today' did two years ago without explanation. Perhaps they did not like public verification of the Hot Water to ice and snow the Gulf Stream creates when it goes North.
The paragraphs below describes what DEOS showed before.
Very strong, which means lots of warm water goes North to evaporate out and fall as snow which form ice sheets and advance glaciers.
This occurs when the Sun's output decreases, shown by no Sun Spots, and the Thermosphere thickness falls to record lows causing heat from Earth's surface to radiate into space faster. A thick warm Thermosphere = 49.5; a thin cold Thermosphere = 4.0 or less, which is occurring now.
Heat seeks cold = The Second Law of Thermodynamics says as colder air evaporates warm water into water vapor, then this cold air turns water vapor into snow and ice.
They are more ordered than water vapor, this means the cost of making snow and ice is the release of extra heat.
E.g. A working refrigerator shows how this works.Electricity/energy goes in, circulating gases/fluids that absorb the heat from the water or the air inside, making cold air/ice; but this extra heat absorbed must be released outside the back of the refrigerator into the air, or in Earth's case into space. Energy into ice = extra heat out.
This anti-entropic cycle on Earth can create an ice-age cycle. Ending an inter=glacial requires a very strong Gulf Stream & Pacific warm currents bringing more Heat = violent storms which evaporate more warm water sending water vapor into a no Sun light or low solar input region,
as Earth's annual wobble reduces or eliminates the sunshine at the poles,
No sunshine combined with a very cold Thermosphere, and you have created a natural refrigerator, making lots of snow & ice.
Ergo, the coldest, snowiest winter on record so far = 2018/19.
Article on 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
Current worldwide active volcano data
Current worldwide Earthquake events
Center for Earthquake Research & Information
Earthquake and Volcano links
Near Earth Asteroid Tracking
IAU Minor Planet Center
Royal Observatory, Edinborough
Sunspots & Geomagnetic Storm Warnings
NOAA Space Weather Prediction Center
CO2 levels rise 3 times faster than expected
Real Climate site for Climatologists on GS
How to measure Earth's heat balance with Joules.
Energy Bulletin on Peak Oil
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 troposphere 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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