Research

nasa-earths-gravitational-tidal-forces-1200

Credit: NASA

“The forces which displace continents are the same as those which produce great fold-mountain ranges. Continental drift, faults and compressions, earthquakes, volcanicity, transgression cycles and polar wandering are undoubtedly connected causally on a grand scale. Their common intensification in certain periods of the earth’s history shows this to be true. However, what is cause and what effect, only the future will unveil.”

– Alfred L. Wegener, German meteorologist and geophysicist (1880 – c. 1930)

“Measure what is measurable, and make measurable what is not so.”

– Galileo Galilei, Italian astronomer, physicist, and mathematician (1564–1642)

 

Celestial Drivers of Polar Drift and Resulting Earthquakes

Celestial Drivers of Plate Tectonics and Earthquakes

  • Spectral, spatial-statistical, and graphical evidence that gravitational interaction with the Moon assists in driving Earth’s tectonic plates – Part 1 – posted 2018.10.26 / 1.40MB  Download PDF

Celestial-Geodynamic Triggering of EQs and Volcanism

  • Apparent Triggering of Large Earthquakes in Los Angeles and San Francisco Regions Related to Time Derivatives of Ellipsoidal Demand, Kinematically Derived: Qualitative Interpretations for 1890–2014.1 – posted elsewhere 2015.11.22 / 5.96MB – to be posted here
  • Global View of Great Earthquakes and Large Volcanic Eruptions Matched to Polar Drift and its Time Derivatives – posted elsewhere 2014.06.15 / 2.50MB – to be posted here

Global Forecast for EQs and Volcanic Eruptions

  • A global forecast for great earthquakes and large volcanic eruptions in the next decade: 2018–2028 – posted 2018.10.26 / 2.78MB  Download PDF

Regional Forecasts for EQs and Volcanic Eruptions

  • Apparent Triggering of Large Earthquakes in Los Angeles and San Francisco Regions Related to Time Derivatives of Ellipsoidal Demand, Kinematically Derived: Qualitative Interpretations for 1890–2014.1 – posted elsewhere 2015.11.22 / 5.96MB – to be posted here

Referenced Datasets, Models, and Methods