Preprints
https://doi.org/10.5194/amt-2023-100
https://doi.org/10.5194/amt-2023-100
05 Jun 2023
 | 05 Jun 2023
Status: this preprint was under review for the journal AMT but the revision was not accepted.

Validation of the geostrophic approximation using ERA5 and the potential of long-term radio occultation data for supporting wind field monitoring

Irena Nimac, Julia Danzer, and Gottfried Kirchengast

Abstract. Global long-term stable wind fields are valuable information for climate analyses of atmospheric dynamics. Their monitoring remains a challenging task, given shortcomings of available observations. One promising option for progress is the use of radio occultation (RO) satellite data, based on which the winds are estimated using the geostrophic approximation. Hence, in this study we focus on two goals, explored through European Re-Analysis ERA5 and RO datasets, using monthly-mean January and July data over 2007–2020 with a 2.5° × 2.5° resolution. First, we compare actual and geostrophic ERA5 wind speeds to evaluate the validity of the geostrophic approximation. Second, we test how well ERA5 and RO geostrophic winds agree. We find the geostrophic approximation to work well within 2 m s-1 accuracy almost globally (5°–85° latitude), especially over the summer hemisphere; larger differences (more than 5 m s-1) may occur in the winter stratosphere. We noticed the effect of large mountain ranges on the wind flow as a wave-like pattern, also in the difference between RO and ERA5 geostrophic winds, pointing to effects of different geopotential height estimations. Generally, RO and ERA5 geostrophic winds showed very good agreement. In the long-term, systematic differences in decadal trends of higher than 0.5 m s-1 per decade were found at subtropical latitudes, mainly related to observing system changes in the year 2016 that influenced ERA5. Together with the validity of the geostrophic approximation, this indicates that the long-term stability of RO-derived wind field monitoring can provide added value to reanalysis winds, for the benefit of climate monitoring and analyses.

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Irena Nimac, Julia Danzer, and Gottfried Kirchengast

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-100', Anonymous Referee #1, 11 Jul 2023
  • RC2: 'Comment on amt-2023-100', Anonymous Referee #2, 19 Jul 2023
  • EC1: 'Comment on amt-2023-100', Ad Stoffelen, 29 Jul 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-100', Anonymous Referee #1, 11 Jul 2023
  • RC2: 'Comment on amt-2023-100', Anonymous Referee #2, 19 Jul 2023
  • EC1: 'Comment on amt-2023-100', Ad Stoffelen, 29 Jul 2023
Irena Nimac, Julia Danzer, and Gottfried Kirchengast
Irena Nimac, Julia Danzer, and Gottfried Kirchengast

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Latest update: 13 Dec 2024
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Short summary
As global wind measurements are limited by low spatial coverage or lack of vertical profile information, radio occultation (RO) satellite data might be of help. Wind fields are indirectly retrieved using the geostrophic approximation. We first test how well the method performs, finding agreement better than 2 m/s in wind speed. In a second step, we investigate how good RO and reanalysis data compare. The results suggest that RO-derived wind fields provide added value for climate monitoring.