LabVIEW Based Radiosonde Telemetry System in RF Communication

Marja, Ferdiansyah; Aisyah, Siti

doi:10.1109/incae.2018.8579401

Cited by 5 publications

(1 citation statement)

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“…These issues include inadequate internet connectivity, the lack of reliable phone lines, and the limited availability of satellite communication [82]. It is also important to note that radiosondes transmit data in real-time to ground stations using radio signals or satellite communication [83]. However, in areas with poor telecommunications infrastructure, delays or interruptions in data transmission can occur, resulting in a low and variable number of RS reports.…”

Section: Challenges Of In Situ Radiosonde Measurements For Upper Air ...mentioning

confidence: 99%

An Appraisal of the Progress in Utilizing Radiosondes and Satellites for Monitoring Upper Air Temperature Profiles

Mashao,

Demoz,

Kifle

et al. 2024

Atmosphere

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Upper air temperature measurements are critical for understanding weather patterns, boundary-layer processes, climate change, and the validation of space-based observations. However, there have been growing concerns over data discrepancies, the lack of homogeneity, biases, and discontinuities associated with historical climate data records obtained using these technologies. Consequently, this article reviews the progress of utilizing radiosondes and space-based instruments for obtaining upper air temperature records. A systematic review process was performed and focused on papers published between 2000 and 2023. A total of 74,899 publications were retrieved from the Google Scholar, Scopus, and Web of Science databases using a title/abstract/keyword search query. After rigorous screening processes using relevant keywords and the elimination of duplicates, only 599 papers were considered. The papers were subjected to thematic and bibliometric analysis to comprehensively outline the progress, gaps, challenges, and opportunities related to the utilization of radiosonde and space-based instruments for monitoring upper air temperature. The results show that in situ radiosonde measurements and satellite sensors have improved significantly over the past few decades. Recent advances in the bias, uncertainty, and homogeneity correction algorithms (e.g., machine learning approaches) for enhancing upper air temperature observations present great potential in improving numerical weather forecasting, atmospheric boundary studies, satellite data validation, and climate change research.

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Section: Challenges Of In Situ Radiosonde Measurements For Upper Air ...mentioning

confidence: 99%