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Table of Contents
Understanding the Inigo Jones Method
The Inigo Jones method, named after the Australian long-range weather forecaster Inigo Jones, integrates astrological positions and solar cycles to predict weather patterns. Jones developed this method in the early 20th century, basing his forecasts on the movements of planets and sunspot activity. Despite some scepticism, his approach has shown remarkable accuracy over the years, providing valuable long-term weather predictions.
Here are some commercial services using his method.
I have no affiliation with these services. I like experimenting with weather and climate, and I recently introduced the Inigo Jones method.
Key Components of the Inigo Jones Method
Planetary Positions:
- Jupiter and Saturn: The alignments of these gas giants are particularly significant. Their conjunctions and oppositions are thought to influence large-scale weather patterns. (On a side note, these gas giants are squaring off on the Earth come October 2024, something we have not seen since 79AD)
- Uranus and Neptune: These outer planets also play a role, with their long orbital periods contributing to the cyclical nature of weather changes.
Solar Cycles:
- Sunspot Activity: The number and intensity of sunspots, which follow an 11-year cycle, are linked to variations in solar radiation reaching Earth. Higher sunspot numbers typically correlate with warmer periods, while lower numbers (as seen during the Grand Solar Minimum) are associated with cooler temperatures.
Historical Weather Data:
- Long-Term Weather Records: Jones meticulously recorded weather patterns over decades, identifying recurring cycles and correlations with planetary positions and solar activity.
- Significant Weather Events: By analyzing historical events such as floods, droughts, and storms, Jones could refine his forecasts and identify potential future occurrences based on similar celestial conditions.
Data Used in the Inigo Jones Method
- Ephemerides: Detailed tables of the positions of celestial bodies used to track planetary alignments and movements.
- Sunspot Records: Historical data on sunspot numbers and solar cycles, essential for understanding the sun’s influence on Earth’s climate.
- Meteorological Observations: Long-term weather records, including temperature, rainfall, and extreme weather events, to identify patterns and validate predictions.
- Lunar Phases: The moon’s phases can influence tidal forces and, by extension, weather patterns, especially in coastal regions.
- Astrological Charts: Charts that map out the positions of planets relative to the Earth at given times, used to predict potential impacts on weather. Just keep in mind that it is NOT Astrology. It is Astronomy. They are two different things.
Combining these diverse data sources, Inigo Jones developed a comprehensive method for long-range weather forecasting that remains influential. His approach underscores the interconnectedness of celestial mechanics and terrestrial weather, offering insights that are particularly valuable for agriculture and planning.
What is the Grand Solar Minimum?
The Grand Solar Minimum (GSM) is a period of significantly reduced solar activity characterized by a substantial decrease in the number of sunspots and solar flares. This phenomenon occurs roughly every 200 to 400 years and can last for several decades. The most well-documented instance of a GSM is the Maunder Minimum, which occurred between 1645 and 1715 and coincided with the coldest part of the Little Ice Age.
Valentina Zharkova’s Research
Valentina Zharkova, a professor of mathematics at Northumbria University, has conducted extensive research on solar activity and its impacts on Earth’s climate. Zharkova’s work suggests that we are entering a new Grand Solar Minimum, which could significantly affect global temperatures and weather patterns. Her research indicates that the sun’s magnetic field diminishes during the GSM, solar radiation decreases, and the Earth’s upper atmosphere cools.
That said, there is a dispute over one of her papers, regularly brought up by those who believe all things are linear. The argument comes down to the fact that the paper got redacted because it is the belief that if something does not happen frequently but still can happen, it does not happen. Personally, I think the paper got redacted because the political narrative must be global warming; Zharakova’s research shows that there is a cooling period coming, just like history shows that it has happened before and will happen again.
Data Collection in Dayboro: A Cornerstone of Analysis and Forecasting
Since 2004, meticulous data collection has been the backbone of my weather analysis and forecasting efforts in Dayboro. This comprehensive dataset, accumulated over nearly two decades, provides invaluable insights into local weather patterns, climate trends, and their impacts on agriculture. So, in only a few more years, I will have climate data, which is weather data collected over 30 years or more. I am 2/3 in.
Now we know what data is involved, I showed you a little bit of the methods applied (without giving away the secret sauce). It is now time to dive in.
Overview (for members only)
Projected Temperature Changes (2025-2029)
Flood Risk in dayboro (2025-2029)
Yearly Flood Risk Assessment Using the Regional Floodplain Database
Flooding is a critical concern for the Dayboro region, particularly as we look ahead to 2025 through 2029.
We can better understand our community’s potential flood risks by combining the Inigo Jones method with modern astrological influences and data from the Grand Solar Minimum. Each year brings unique challenges shaped by the movements of major planets such as Jupiter, Saturn, and Neptune, which have historically impacted weather patterns.
This assessment delves into the specific flood risks for each year, highlighting the months with the highest probabilities of flooding and the underlying astrological factors contributing to these predictions.
Understanding these patterns is crucial for preparing and protecting our homes, farms, and infrastructure from the potential onslaught of nature’s fury. Let’s consider the Regional Floodplain Database.
Based on the detailed analysis from the “Hydrologic and Hydraulic Modelling – Lower Pine River” document, we can identify areas in Dayboro that are likely to flood from 2025 through 2029. The analysis combines the historical flood data, rainfall and river gauge data, and the astrological influences and solar cycle predictions we discussed earlier.
Flood predictions
2025 Flood Risk Assessment
2026 Flood Risk Assessment
2027 Flood Risk Assessment
2028 Flood Risk Assessment
2029 Flood Risk Assessment
2025 Predictions
2026 Predictions
2027 Predictions
2028 Predictions
2029 Predictions
Conclusion
The combined analysis of astrological influences and historical flood data suggests that Dayboro faces consistent high flood risks during the wet season months from 2025 through 2029. The Lower Pine River catchment, including areas around Drapers Crossing, Sideling Creek, North Pine River, and South Pine River, are particularly vulnerable.
Proactive measures such as improved flood defences, efficient water management, and community preparedness will be crucial in mitigating the impact of these predicted flood events. Understanding these risks enables better planning and response strategies, ensuring the safety and resilience of Dayboro’s communities and agricultural lands.
That said the report is produced for entertainment purposes only, you should always follow the directions of the authorities. All what is documented is for use at own risk only, I will not be held responsible for how you use the data.
