the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 22 May 2026
Effects of model resolution on predicting atmospheric ducting conditions with Harmonie-AROME
Abstract. To avoid hazardous situations, it is important to be able to forecast the condition leading to anomalous propagation of electromagnetic signal. In this study, the operational weather forecasting model Harmonie-AROME used by the Finnish meteorological institute was utilized to assess the effects of model resolution on predicting atmospheric ducting conditions. Four separate model configurations were tested altering the vertical and horizontal resolution. The testing period (from 19th of June to 12th of July, 2022) included several occasions when anomalous propagation had been detected at Northern Baltic sea by the Utö coastal surveillance radar. The comparison against the observations show potential of predicting ducting conditions
with numerical weather prediction model. At the same time the results reveal the limitations of the model in producing realistic vertical profiles of temperature and humidity especially near surface.
- Preprint
(7048 KB) - Metadata XML
- BibTeX
- EndNote
Status: open (until 15 Nov 2026)
-
RC1: 'Comment on egusphere-2026-1629', Anonymous Referee #1, 24 Jun 2026
reply
-
AC1: 'Reply on RC1', Karoliina Hämäläinen, 07 Oct 2026
reply
Dear Reviewer,
We sincerely thank the reviewer for the thoughtful and constructive comments. We greatly
appreciate the careful reading of our manuscript and the valuable suggestions. A few comments
identified specific errors in the original manuscript, which we have now corrected. The remaining
comments helped us recognize places where the text could be made clearer and more accessible. As
authors, we can easily become “blind” to our own writing, particularly when we are so familiar with
the underlying ideas that we may assume certain points are self-evident. The reviewer’s comments
helped us see the manuscript from the reader’s perspective and have therefore been very helpful in
improving its clarity and overall presentation.To make it easier to review our responses and identify the corresponding changes to the manuscript,
we have included a diff version of the manuscript. This version clearly highlights the changes we
have made in response to the reviewer’s comments, with additions and modifications marked in red
and blue. -
AC2: 'Reply on RC1', Karoliina Hämäläinen, 07 Oct 2026
reply
Please find attached the diff_manuscript which highlights the changes.
-
AC1: 'Reply on RC1', Karoliina Hämäläinen, 07 Oct 2026
reply
Data sets
Observation data from Utö mast Karoliina Hämäläinen https://zenodo.org/records/20305839
Model code and software
Point forecasts for Utö mast location Karoliina Hämäläinen https://doi.org/10.5281/zenodo.20305838
Viewed
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 349 | 123 | 41 | 513 | 42 | 33 |
- HTML: 349
- PDF: 123
- XML: 41
- Total: 513
- BibTeX: 42
- EndNote: 33
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
See comments in attached file.