Measurement uncertainty of atmospheric profiles obtained by radiosoundings is crucial in climate change studies. This paper shows how the understanding of geographic gaps of radiosonde networks calls for a functional approach able to handle spatio-temporal profile data, and related complexity issues are addressed.

Statistical issues in radiosonde observation of atmospheric temperature and humidity profiles

Madonna F
2018

Abstract

Measurement uncertainty of atmospheric profiles obtained by radiosoundings is crucial in climate change studies. This paper shows how the understanding of geographic gaps of radiosonde networks calls for a functional approach able to handle spatio-temporal profile data, and related complexity issues are addressed.
2018
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Functional data
GRUAN
RAOB
Spatio-temporal models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/371327
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