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Atmosphere
Special Issues
Drought and Precipitation Extremes
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Drought and Precipitation Extremes

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

Deadline for manuscript submissions: closed (16 April 2022) | Viewed by 6155

Special Issue Editors

Dr. Zhenhua Li

E-Mail Website
Guest Editor
Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK S7N 5A2, Canada
Interests: atmospheric dynamics; regional climate modelling; drought and precipitation extremes
Special Issues, Collections and Topics in MDPI journals
Dr. Tomeu Rigo

E-Mail Website
Guest Editor
Servei Meteorologic de Catalunya, 08029 Barcelona, Spain
Interests: severe weather; remote sensing; nowcasting; hail; heavy rain; supercells; squall lines
Special Issues, Collections and Topics in MDPI journals
Dr. Ya Huang

E-Mail Website
Guest Editor
College of Oceanography, Hohai University, Nanjing 210098, China
Interests: precipitation extremes; regional climate modeling; hydrological modeling; climate change
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Drought and extreme precipitation, on the opposite ends of the spectrum of precipitation distribution, cause significant losses to society and economy around the world. The understanding of both types of events is lacking as it can be caused by different atmospheric circulation anomalies and events (blocking, quasi-stationary fronts, hurricanes, etc.) and highly variable in temporal and spatial scales. Besides, both drought and heavy rainfall go hand in hand, when the first occurs in one region, other area is affected by the second. In this way, both droughts and extreme precipitations are going to intensify as the global climate change unfolds in this century. Understanding the mechanisms of drought and extreme precipitation, either in historical records, observation, or future climate projections through statistical methods and modeling, is critical for stakeholders to prepare for such events and provide resilient responses. We invite all manuscripts related to the causes of drought and extreme precipitation events, the characteristics of drought and extreme precipitation events, the analyses of historical drought and extreme precipitation events, the modeling and climate projections of drought and extreme precipitation, seasonal and subseasonal forecast of drought and extreme precipitation, and procedures and methods to mitigate the negative impacts of drought/extreme precipitation.

Dr. Zhenhua Li
Dr. Tomeu Rigo
Dr. Ya Huang
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

  • drought
  • extreme precipitation
  • flooding
  • flash flooding
  • blocking
  • climate change
  • atmospheric river

Published Papers (3 papers)

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Research

17 pages, 2585 KiB  
Article
Can the Correlation between Radar and Cloud-to-Ground Daily Fields Help to Identify the Different Rainfall Regimes? The Case of Catalonia
by Sergio Castillo, Tomeu Rigo and Carme Farnell
Atmosphere 2022, 13(5), 808; https://doi.org/10.3390/atmos13050808 - 16 May 2022
Cited by 1 | Viewed by 1348
Abstract
The rainfall regime is changing in the Catalan territory, likely in most areas in the Mediterranean Basin. This variability, spatial and temporal, means that there may be periods of severe drought combined with periods of heavy rainfall and floods. In this way, the [...] Read more.
The rainfall regime is changing in the Catalan territory, likely in most areas in the Mediterranean Basin. This variability, spatial and temporal, means that there may be periods of severe drought combined with periods of heavy rainfall and floods. In this way, the management of water resources is complicated and can produce a high impact on different social aspects. The high convective activity leads to investigating the relationship between the electric discharges and radar parameters (reflectivity, echo top, vertically integrated liquid, and accumulated rainfall). The correlation allows identifying some elements that may be significant in terms of changes in rainfall regimes. Besides, using several radar parameters apart from precipitation accumulation reveals interesting explicit patterns of the previously known. These patterns can help better understand the precipitation behavior and the changes associated with it. Full article
(This article belongs to the Special Issue Drought and Precipitation Extremes)
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16 pages, 4021 KiB  
Article
Characterisation of Thunderstorms with Multiple Lightning Jumps
by Tomeu Rigo and Carme Farnell
Atmosphere 2022, 13(2), 171; https://doi.org/10.3390/atmos13020171 - 21 Jan 2022
Cited by 5 | Viewed by 2477
Abstract
Several works have shown that lightning jumps are precursors of severe weather in deep-convective thunderstorms. Since 2017, the Meteorological Service of Catalonia has operationally run an algorithm that identifies lightning jumps (LJs) in real time. It has resulted in being an effective tool [...] Read more.
Several works have shown that lightning jumps are precursors of severe weather in deep-convective thunderstorms. Since 2017, the Meteorological Service of Catalonia has operationally run an algorithm that identifies lightning jumps (LJs) in real time. It has resulted in being an effective tool for nowcasting severe weather with a lead time between 15 min and 120 min in advance. This time can be of high value for managing emergencies caused by severe phenomena or heavy rains. The present research focused on the events’ analysis in which more than one lightning jump occurred, searching for those elements that differentiate single warning cases. Thunderstorms producing LJs were divided into two main categories, depending on the number of jumps triggered during the life cycle. Besides, both classes were split into two main sub-types, based on the level of the LJ that occurred. Multiple LJ thunderstorms produce more Level 2—related to severe weather—jumps than Level 1—small hail or intense precipitation—while in the case of a single LJ, the opposite behaviour occurs. In general, multiple LJ thunderstorms with at least one Level 2 jump are the more intense and have a higher vertical development. Finally, lineal and well-organised thunderstorms are the more common modes in those intenser cases. Full article
(This article belongs to the Special Issue Drought and Precipitation Extremes)
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15 pages, 3318 KiB  
Article
Bias Correction for Precipitation Simulated by RegCM4 over the Upper Reaches of the Yangtze River Based on the Mixed Distribution Quantile Mapping Method
by Bingxue Li, Ya Huang, Lijuan Du and Dequan Wang
Atmosphere 2021, 12(12), 1566; https://doi.org/10.3390/atmos12121566 - 26 Nov 2021
Cited by 1 | Viewed by 1595
Abstract
Traditional multi-parameter single distribution quantile mapping (QM) methods excel in some respects in correcting climate model precipitation, but are limited in others. Multi-parameter mixed distribution quantile mapping can potentially exploit the strengths of single distribution methods and avoid their weaknesses. The correction performance [...] Read more.
Traditional multi-parameter single distribution quantile mapping (QM) methods excel in some respects in correcting climate model precipitation, but are limited in others. Multi-parameter mixed distribution quantile mapping can potentially exploit the strengths of single distribution methods and avoid their weaknesses. The correction performance of mixed distribution QM methods varies with the geographical location they are applied to and the combination of distributions that are included. This study compares multiple sets of single distribution and multi-parameter mixed distribution QM methods in order to correct the precipitation bias in the upper reaches of the Yangtze River basin (UYRB) in RegCM4 simulated precipitation. The results show that, among the selected distributions, the gamma distribution has the highest performance in the basin; explaining more than 50% of the precipitation events based on the weighting coefficients. The Gumbel distribution had the worst performance, only explaining about 10% of the precipitation events. The performance parameters, such as the root mean square error (RMSE) and the correlation coefficient (R) of the corrected precipitation, that were derived by using mixed distribution were better than those derived by using single distribution. The QM method that is based on the gamma-generalized extreme value distribution best corrected the precipitation, could reproduce the annual cycle and geographical pattern of observed precipitation, and could significantly reduce the wet bias from the RegCM4 model in the UYRB. In addition to enhancing precipitation climatology, the correction method also improved the simulation performance of the RegCM4 model for extreme precipitation events. Full article
(This article belongs to the Special Issue Drought and Precipitation Extremes)
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