Editorial for the Special Issue: “Radio Occultations for Numerical Weather Prediction, Ionosphere, and Space Weather”

Горбунов, М. Е.

doi:10.3390/rs15082107

Cited by 1 publication

(2 citation statements)

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“…Based on the bending angle, a profile can be retrieved using statistical algorithms such as Abel inversion [36], ray tracing [108], Monte Carlo simulations [109], optimal estimation [110], Fourier Transform [111], and Chirp Z-Transform [112]. Normally, Abel inversion is used when the occulting atmosphere is assumed to be spherically symmetric.…”

Section: Remote Sensing Applications For Upper Air Temperature Observ...mentioning

confidence: 99%

“…Thus, this therefore warrants more studies on the correction of negative refractivity biases. Several atmospheric retrieval algorithms were reviewed in this study such as Abel inversion [36], ray tracing [108], Monte Carlo simulations [109], optimal estimation [110], Fourier Transform [111], and Chirp Z-Transform [112]. This study has demonstrated that Abel transform is widely preferred despite the need for prior information due to several key advantages such as physical interpretability, and it allows for the retrieval of multiple atmospheric profiles simultaneously.…”

Section: Challenges Of Using In Situ Radiosondes and Satellites For U...mentioning

confidence: 99%

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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: Remote Sensing Applications For Upper Air Temperature Observ...mentioning

confidence: 99%

Section: Challenges Of Using In Situ Radiosondes and Satellites For U...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

View full text Add to dashboard Cite

show abstract

Editorial for the Special Issue: “Radio Occultations for Numerical Weather Prediction, Ionosphere, and Space Weather”

Abstract: Sounding of the Earth’s ionosphere is an important application of the RO technique [...]

Cited by 1 publication

References 11 publications

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

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

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