The feasibility of using the global network platform data registry in climate studies in Libya (POWER) platform model.

Abstract

This study was based on two hypotheses. The first: There is a strong relationship between monthly average temperature records and the moon’s measurements. The platform relies on recording the thermal spectrum emanating from the Earth, so the scope for error in the measurement is weak. As for the second hypothesis: It states that there is a relationship between rain records at weather monitoring stations and the platform’s estimates. It may be strong in the winter months on the coast in particular, and the relationship weakens by moving in one place towards the hot season on the one hand and by moving spatially inland towards the desert on the other hand. The results of the statistical analysis showed that there is a direct and statistically significant relationship with a high confidence of up to 99% in most months between the monthly average temperatures of meteorological stations and POWER data. 
This means that the platform’s data can be used to compensate for the loss of meteorological station data when these stations stop working, and in places where meteorological stations are not available, its data can also be used with confidence regarding monthly average temperatures.  The analysis also demonstrated that there is a direct and statistically significant relationship with great confidence of up to 99% in the months of the winter rainy season, especially on the coast, and this relationship gradually weakens as one moves away from the coast and moves toward the hot summer season.