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Atmosphere
Special Issues
Precipitation Observations and Prediction (2nd Edition)
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Precipitation Observations and Prediction (2nd Edition)

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

Deadline for manuscript submissions: 28 December 2024 | Viewed by 2742

Special Issue Editors

Dr. Xiaoming Shi

E-Mail Website
Guest Editor
Division of Environment and Sustainability, Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, China
Interests: turbulence; convection; clouds; extreme weather; deep learning
Special Issues, Collections and Topics in MDPI journals
Dr. Berry Wen

E-Mail Website
Guest Editor
Department of Geography, University of Florida, Gainesville, FL 32611-7315, USA
Interests: synergy of ground weather radar and satellite products; applications of remote sensing data to monitor and forecast natural hazards; AI/ML
Special Issues, Collections and Topics in MDPI journals
Dr. Lisa Milani

E-Mail Website
Guest Editor
1. NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
2. Earth Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740, USA
Interests: shallow convective snowfall; microwave sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are excited to present the second edition of our Special Issue on “Precipitation Observation and Prediction.” Riding on the momentum of our inaugural edition, we eagerly invite contributions to this pivotal domain of climate and atmospheric science.

Precipitation patterns, in both their variability and distribution, shape the hydrological cycle — a cycle that is integral to our human needs and the vitality of our ecosystems. More than ever, we are witnessing a rise in extreme precipitation events and associated flash floods due to global warming, leading to considerable societal impacts. Enhancing our ability to observe and forecast precipitation across various scales remains paramount for refining weather and climate services for communities worldwide.

Within this Special Issue, our mission is to showcase groundbreaking research articles and comprehensive review papers that shed light on the latest in observational datasets, innovative precipitation retrieval algorithms, analysis methodologies, forecasting techniques, and the underpinning theories of Earth’s precipitation processes. This Issue is particularly interested in, but not limited to:

  1. Advances in remote sensing for precipitation (both solid and liquid) spanning local, regional, and global scales.
  2. Novel methods in remote sensing precipitation retrievals.
  3. Insights from long-term observational studies on climate change impacts.
  4. Innovative techniques to identify and assess precipitation patterns influenced by global warming.
  5. In-depth explorations of cloud and precipitation microphysical processes.
  6. Rigorous ground validations of remote-sensed precipitation data.
  7. Breakthroughs in numerical modeling and parameterization to enhance precipitation prediction accuracy.
  8. Comprehensive studies on sub-seasonal to seasonal precipitation forecasting.
  9. Forward-looking assessments of rainfall and snowfall patterns, focusing on extreme events.
  10. Strategies for integrating data across diverse precipitation observation or prediction systems.
  11. AI/ML in precipitation observations and predictions.

Dr. Xiaoming Shi
Dr. Berry Wen
Dr. Lisa Milani
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

  • precipitation
  • remote sensing
  • climate change detection and attribution
  • numerical weather forecast
  • climate projection
  • extreme precipitation
  • snow

Related Special Issue

Published Papers (2 papers)

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Research

22 pages, 8435 KiB  
Article
Evaluating the Effects of Raindrop Motion on the Accuracy of the Precipitation Inversion Algorithm by X-SAR
by Xueying Yu, Yanan Xie and Rui Wang
Atmosphere 2024, 15(3), 265; https://doi.org/10.3390/atmos15030265 - 22 Feb 2024
Viewed by 542
Abstract
Precipitation has a profound impact on both human life and the natural environment. X-band synthetic aperture radar (X-SAR) utilizes high-resolution microwave remote-sensing technology, providing opportunities for global precipitation measurements. The current precipitation inversion algorithms from X-SAR measurements assume that precipitation particles remain relatively [...] Read more.
Precipitation has a profound impact on both human life and the natural environment. X-band synthetic aperture radar (X-SAR) utilizes high-resolution microwave remote-sensing technology, providing opportunities for global precipitation measurements. The current precipitation inversion algorithms from X-SAR measurements assume that precipitation particles remain relatively stationary with the ground. However, the motion of raindrops could potentially reduce the accuracy of these algorithms. In this study, we first established a functional relationship between raindrop motion and SAR echoes based on the standard deviation of the raindrop Doppler velocity spectrum. Secondly, an exploratory algorithm was proposed to retrieve rainfall distribution under the raindrop motion error model (RMM) and quantitatively calculate the precipitation inversion error caused by raindrop motion. In comparison to conditions where the atmosphere is stationary, when the standard deviation of the Doppler velocity spectrum of raindrops is 1.1 m/s, the relative error of the retrieved surface rain rate increases from 2.1% to 35.8%. Numerical simulations show that SAR echoes are sensitive to changes in the standard deviation of the Doppler velocity spectrum, and the impact of raindrop motion on the accuracy of X-SAR precipitation measurements cannot be neglected. Full article
(This article belongs to the Special Issue Precipitation Observations and Prediction (2nd Edition))
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23 pages, 14850 KiB  
Article
Analysis of Precipitation and Drought in the Main Southeastern Iberian River Headwaters (1952–2021)
by María José Estrela, David Corell, Juan Javier Miró and Raquel Niclós
Atmosphere 2024, 15(2), 166; https://doi.org/10.3390/atmos15020166 - 27 Jan 2024
Viewed by 1822
Abstract
This study evaluated the long-term changes in precipitation patterns and drought conditions in one of the key recharge areas of the hydrological system of southern and southeastern Spain, namely, the Sierra de Cazorla y Segura, which contains the headwater sectors of the catchment [...] Read more.
This study evaluated the long-term changes in precipitation patterns and drought conditions in one of the key recharge areas of the hydrological system of southern and southeastern Spain, namely, the Sierra de Cazorla y Segura, which contains the headwater sectors of the catchment basins of two important rivers, namely, the Guadalquivir and the Segura. The research covered a period of 70 years (1952–2021) and undertook an exhaustive analysis of data from 348 pluviometric stations. The most relevant results are as follows: (1) most areas experienced a decrease in the precipitation volume and number of rainy days during the study period; (2) summer and winter showed the most significant decreases; (3) weak and moderate precipitation (<40 mm/d) showed significant decreases in both volume and frequency, while heavy precipitation (≥40 mm/d) showed the opposite behavior; (4) the durations of dry periods increased, while the durations of wet periods decreased in most areas; and (5) the SPEI showed an increase under drought conditions. This research underscores the need for water resource management and resilience strategies with interdisciplinary relevance in the face of changing hydrological patterns. Full article
(This article belongs to the Special Issue Precipitation Observations and Prediction (2nd Edition))
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