Discussing the article: "Atmosphere Clouds Model Optimization (ACMO): Practice"

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Check out the new article: Atmosphere Clouds Model Optimization (ACMO): Practice.

In this article, we will continue diving into the implementation of the ACMO (Atmospheric Cloud Model Optimization) algorithm. In particular, we will discuss two key aspects: the movement of clouds into low-pressure regions and the rain simulation, including the initialization of droplets and their distribution among clouds. We will also look at other methods that play an important role in managing the state of clouds and ensuring their interaction with the environment.

We have divided the search space into regions. The initial humidity and pressure values in these regions were determined. We set the parameters of the model, such as: initial entropy, hyperentropy, threshold humidity value for cloud formation, and others. The next step was to generate clouds by selecting an area with high humidity. The cloud center, entropy and hyperentropy were calculated. We updated meteorological parameters of humidity and pressure in regions after cloud generation. Besides, we implemented the movement of clouds into low-pressure areas and subsequent updating of cloud characteristics depending on their movement between regions, as well as cloud dispersal. 

What else remains to be done? We need to implement functions for random placement of droplets and their distribution among clouds, complete the rain process and update the global solution, as well as test the model on our test functions with different parameters to evaluate its performance and accuracy. We will make changes to the process of rain and droplet formation to implement a more complete exchange of information about promising regions in the population.

Author: Andrey Dik

[Arda Kaya]

Really interesting topic!

[Andrey Dik]

Arda Kaya #:
Really interesting topic!

Thank you, with pleasure.