The Impact of Data Assimilation on Severe Weather Forecast (2nd Edition)
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 43
Special Issue Editors
Interests: numerical weather prediction; data assimilation; precipitation; satellite products
Special Issues, Collections and Topics in MDPI journals
Interests: numerical weather prediction; data assimilation; lightning forecast; precipitation
Special Issues, Collections and Topics in MDPI journals
Interests: mesoscale meteorological modeling; severe weather; numerical weather prediction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a new Special Issue of Atmosphere entitled “The Impact of Data Assimilation on Severe Weather Forecast” (2nd Edition). This Special Issue is a follow-up of the first Special Issue entitled “The Impact of Data Assimilation on Severe Weather Forecast” (https://www.mdpi.com/journal/atmosphere/special_issues/data_assimilation_severe_weather_forecast) published in Atmosphere.
For this Special Issue, we welcome the submission of papers concerning different data assimilation techniques, new or well-established, and their impact on the forecasting of meteorological parameters, especially precipitation.
Forecast time ranges can span from nowcasting to the sub-seasonal time scale or longer. This Special Issue will focus, in particular, on deterministic forecasts, ensemble forecasting, and ensemble data assimilation systems.
Papers considering sensitivity tests and hindcast studies using data assimilation are welcome, as well as specific case studies addressing the impact of data assimilation on weather forecasting or an assessment of its long-term performance; in the latter case, the analysis is not limited to severe weather.
The main focus of this Special Issue is numerical weather prediction models with data assimilation; however, other modeling systems may be considered. The impact of data assimilation on different observations (atmospheric/surface/soil) can also be explored.
Dr. Rosa Claudia Torcasio
Dr. Stefano Federico
Dr. Elenio Avolio
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- numerical weather prediction models
- data assimilation
- precipitation forecast
- nowcasting of severe weather events
- atmospheric observations of severe weather events
