The Spectometer
For all these instruments, precision is crucial, as is the validity of what we are measuring. Similar to how a thermometer measures the temperature of the environment regardless of human perception of what’s hot or cold, a spectometer calculates the changing field of the environment. Since the cycles of celestial bodies in the solar system have been viewed as a celestial clock since the 17th century, position is traditionally considered a function of time, and the hour angle determines the location on Earth. This connection is like the relationships between the clock and the compass with the spectometer.
On the other hand, the spectometer shares similarities with the thermometer and barometer as meteorological instruments. While the barometer measures atmospheric pressure, explaining horizontal airflows, the spectometer provides information about the causes of vertical airflows. Just as the thermometer can measure temperature trends and cycles during different seasons, the spectometer can offer insights into various weather cycles and seasons.
In our modern age of advanced information exchange, the spectometer can be integrated with various data and functionalities, offering a wealth of opportunities beyond its basic functionality. Users can choose to display additional “custom” information and data, creating a wide range of data possibilities.
By using the positions of celestial bodies, it’s possible to calculate correlations between them and derive classical astronomical information like conjunctions, oppositions, and other forms of correlation. When you add external information such as temperature and atmospheric pressure, a more comprehensive understanding of the weather situation emerges. In practice, incorporating satellite images and data on solar activity for space weather can be highly valuable. Combining longitudinal wave moments with classical astronomical data aids in managing weather-related risks, for instance in areas such as power generation and wind energy.
This approach allows us to construct a global map, highlighting the relevant positions of celestial bodies that influence Earth at any given time. Detailed information about different wave cycles and movements can also be incorporated. An analysis of longitudinal cycles and their phases at a particular time reveals the field’s density over time, providing insights that aren’t immediately visible through photographs or telescopes.
Through recalculation and the addition of information, a set of standardized information products and a specific overview can be created. This extends beyond calendars, which have been discussed at length in the book “Estreon”. Applications designed to address risks, such as early warning systems, risk assessment, and mitigation measures, serve as crucial tools for long-term decision-making.
The calculated values, including the adjusted ones, are raw data. Due to interactions, overlapping effects, seasonal influences, and the fact that meteorology deals with predictions, these results cannot be directly applied to everyday practice without interpretation. In 3 out of 4 cases, the model demonstrates predictive validity. As a result, the outcomes from the spectometer provide an opportunity to explain the underlying causes.
