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Atmosphere
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Feature Papers in Meteorological Science (2nd Edition)
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Feature Papers in Meteorological Science (2nd Edition)

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 2798

Special Issue Editor

Prof. Dr. Da-Lin Zhang

E-Mail Website
Guest Editor
Department of Atmospheric & Oceanic Science, University of Maryland, College Park, MD 20742, USA
Interests: high-resolution numerical weather prediction; mesoscale convective systems; tropical and extratropical cyclones; heavy rainfall; urban meteorology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the second volume of a series of publications dedicated to “Feature Papers in Meteorological Science” (https://www.mdpi.com/journal/atmosphere/special_issues/feature_papers_meteorology). We are pleased to announce that the Section “Meteorology” is now compiling a collection of papers submitted by the Editorial Board Members (EBMs) of our journal and outstanding scholars in this research field. We welcome contributions and recommendations from the EBMs.

The purpose of this Special Issue is to publish a set of papers that typify the most exceptional, insightful, influential, and original research articles or reviews. We expect these papers to be widely read and highly influential in the field. All papers in this Special Issue will be collated into a printed edition book after the deadline and will be well promoted.

We would also like to take this opportunity to call on more scholars to join the journal Section “Meteorology” so that we can work together to further develop this exciting field of research.

Prof. Dr. Da-Lin Zhang
Guest Editor

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

  • clouds and precipitation
  • general circulation
  • tropical meteorology
  • boundary-layer meteorology
  • urban meteorology
  • environmental meteorology
  • mountain meteorology
  • coastal meteorology
  • maritime meteorology
  • mesoscale meteorology
  • physical meteorology
  • operational meteorology
  • synoptic and dynamic meteorology
  • weather analysis and forecasting
  • numerical weather prediction
  • meteorological data integration

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Published Papers (2 papers)

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Research

13 pages, 2917 KiB  
Article
Statistical Relations among Solid Precipitation, Atmospheric Moisture and Cloud Parameters in the Arctic
by Sergey Y. Matrosov
Atmosphere 2024, 15(1), 132; https://doi.org/10.3390/atmos15010132 - 21 Jan 2024
Viewed by 1282
Abstract
Observations collected during cold-season precipitation periods at Utquagvik, Alaska and at the multidisciplinary drifting observatory for the study of Arctic climate (MOSAiC) are used to statistically analyze the relations among the atmospheric water cycle parameters including the columnar supercooled liquid and ice amounts [...] Read more.
Observations collected during cold-season precipitation periods at Utquagvik, Alaska and at the multidisciplinary drifting observatory for the study of Arctic climate (MOSAiC) are used to statistically analyze the relations among the atmospheric water cycle parameters including the columnar supercooled liquid and ice amounts (expressed as liquid-water and ice-water paths, i.e., LWP and IWP), the integrated water vapor (IWV) and the near-surface snowfall rate. Data come from radar and radiometer-based retrievals and from optical precipitation sensors. While the correlation between snowfall rate and LWP is rather weak, correlation coefficients between radar-derived snowfall rate and IWP are high (~0.8), which is explained, in part, by the generally low LWP/IWP ratios during significant precipitation. Correlation coefficients between snowfall rate and IWV are moderate (~0.45). Correlations are generally weaker if snowfall is estimated by optical sensors, which is, in part, due to blowing snow. Correlation coefficients between near-surface temperature and snowfall rates are low (r < 0.3). The results from the Alaska and MOSAiC sites are generally similar. These results are not very sensitive to the amount of time averaging (e.g., 15 min averaging versus daily averages). Observationally based relations among the water cycle parameters are informative about atmospheric moisture conversion processes and can be used for model evaluations. Full article
(This article belongs to the Special Issue Feature Papers in Meteorological Science (2nd Edition))
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28 pages, 9664 KiB  
Article
Synoptic and Dynamical Characteristics of High-Impact Storms Affecting the Iberian Peninsula during the 2018–2021 Extended Winters
by Ana C. R. Gonçalves, Raquel Nieto and Margarida L. R. Liberato
Atmosphere 2023, 14(9), 1353; https://doi.org/10.3390/atmos14091353 - 28 Aug 2023
Viewed by 1148
Abstract
In the extended winters from December 2017 to April 2021, numerous high-impact storms affected the Iberian Peninsula (IP) with heavy precipitation and/or strong winds. Here, we provide a comprehensive assessment of these events, synoptic conditions, large-scale dynamics associated with storms, and a climatological [...] Read more.
In the extended winters from December 2017 to April 2021, numerous high-impact storms affected the Iberian Peninsula (IP) with heavy precipitation and/or strong winds. Here, we provide a comprehensive assessment of these events, synoptic conditions, large-scale dynamics associated with storms, and a climatological analysis to improve public awareness and natural disaster prevention. Variability analysis presents that their maximum intensity ranges from 955 hPa to 985 hPa, a two-to-four-day lifetime, and the highest frequency (eight events) occurred in January. At the instant of maximum intensity, anomalies presented low MSLP values (−21.6 hPa), high values of water vapor (327.6 kg m−1s−1) and wind speed at 250 hPa (29.6 m s−1), high values of θe at 850 hPa (19.1 °C), SST (−1 °C), and QE (−150 W m−2), near Iberia. The values obtained during the storm impact days exceeded the 98th percentile values in a high percentage of days for daily accumulated precipitation (34%), instantaneous wind gusts (46%), wind speed at 10 m (47%), and concurrent events of wind/instantaneous wind gusts and precipitation (26% and 29%, respectively). These results allow us to characterize their meteorological impacts on the IP, namely those caused by heavy precipitation and wind. Full article
(This article belongs to the Special Issue Feature Papers in Meteorological Science (2nd Edition))
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