Madonna, F; Tramutola, E; Souleymane, S Y; Serva, F; Proto, M; Rosoldi, M; Gagliardi, S; Amato, F; Marra, F; Fasso, A; Gardiner, T; Thorne, P W (2022) The New Radiosounding HARMonization (RHARM) Data Set of Homogenized Radiosounding Temperature, Humidity, and Wind Profiles With Uncertainties. Journal of Geophysical Research - Atmospheres, 127 (2). e2021JD035220

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Abstract

Systematic observations of atmospheric parameters by balloon soundings have been collected regularly across the globe since decades. However, changes in the instrumentation, calculation algorithms, station re-locations and other factors can influence the measurement time series, making the identification of climate signals difficult. The availability of measurement metadata, cross-comparison with (sparser) reference networks and the application of statistical methods allows to greatly improve the physical consistency of the records. We developed the Radiosounding HARMonization (RHARM) methodology to provide users with homogenized radiosonde profiles of temperature, humidity, and wind, along with measurement uncertainties, for 697 locations globally and twice daily based on the Integrated Global Radiosonde Archive. Key features of RHARM are the provision of multiple fundamental atmospheric parameters, adjusted for spurious biases and the inclusion of measurement uncertainties estimated following the standards of the metrological community when available metadata permits. The current version of the RHARM data set can be used to investigate tropospheric weather and climate for the last four decades

Item Type:	Article
Subjects:	Environmental Measurement > Atmospheric Science, Emission and Security
Divisions:	Atmospheric Environmental Sciences
Identification number/DOI:	10.1029/2021JD035220
Last Modified:	21 Oct 2022 12:56
URI:	https://eprintspublications.npl.co.uk/id/eprint/9533