Browsing by Autor "Noelia Ayllon"

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Annual Statistics from 5 Years of 1-Minute Rainfall Rate Measurements at a Specific Site in Bolivia
(2024) Gustavo A. Siles; Noelia Ayllon
1-minute precipitation data is crucial for evaluating the accuracy of rainfall rate prediction methods. In this paper, we present findings after conducting a 5-year rainfall rate measurement campaign at a single site in Bolivia, spanning from September 2018 to August 2023. Additionally, we utilized 6 years of 15-minute rainfall data from a nearby site. The widely-accepted EXCELL RSC model, with slight adjustments to account for the specific geographical characteristics of the study area, was applied to convert rainfall rate cumulative distributions from 15-minutes to 1-minute. The accuracy analysis performed reveals that long-term statistics of rain intensity predicted by the currently adopted version of the ITU-R P.837 model closely match the experimental results. The results indicate that the mean and RMS values of the relative error remain below 10%. This similarity is particularly notable when we incorporate monthly mean local values of surface temperature and rainfall amounts into the ITU-R model.
Design, Manufacture and Implementation of an Educational Satellite for Training in Space Communications
(2024) Jorge Soliz; I.S. Fernandez; Andersson Zurita Romero; Noelia Ayllon; Massimo La Rosa
In this project, it was possible to design, manufacture and implement successfully an educational picosatellite, marking a significant advancement in space science initiatives. The satellite features a robust communication subsystem utilizing the CC1101 module, enabling reliable data transmission over a maximum range of 1.1 km. Extensive testing confirmed the satellite’s capability to transmit environmental data with a slight margin of error compared to a meteorological station, demonstrating consistent trends in temperature and humidity readings. This initiative not only provides hands-on experience in satellite design and operation but also enhances the educational framework for university students, fostering interdisciplinary collaboration and practical engineering skills in space technology.
Elevating STEM Education: A Ground Station's Role in Encouraging Aerospace Science Learning
(2024) Jorge Soliz; Noelia Ayllon
Aerospace science in Bolivia faces educational chal-lenges due to economic constraints and a shortage of professionals. The Private Bolivian University has responded by establishing a specialized Ground Station (GS) for tracking and transmitting signals, with a strong emphasis on education. This GS serves as a pivotal educational hub, offering talks, workshops, and tours to both school and university students, actively promoting knowledge dissemination. Initiatives include interactive workshops and guided tours, providing students with hands-on experiences to profoundly expand their educational horizons. The GS emerges as a transformative educational resource, inspiring and actively engaging younger generations in space-related disciplines. Through a dedicated collaboration with schools, the university seeks to not only enhance educational experiences but also passionately train future professionals in the dynamic field of space science. Coordinated activities, led by GS staff, expose school students early on to exciting STEM (Science, Technology, Engineering, and Mathematics) careers, fostering the development of local talent.
Evaluation of ITU-R P.837 rainfall rate models using high-resolution measurements in Bolivia
(2024) Noelia Ayllon; Gustavo A. Siles
Rainfall rate is a key parameter in radiowave propagation, directly influencing rain attenuation prediction. This paper assesses ITU-R P.837 models that predict 1-minute rainfall rate statistics, using a 5-year high-resolution dataset of measurements in a temperate region of Bolivia as reference. Error analysis shows that the ITU-R P.837-7 model significantly outperforms previous versions, with enhanced accuracy achieved when local mean monthly meteorological data is used as input. Utilizing earlier versions of the ITU-R P.837 model may yield unreliable or inaccurate results.