Weather Modification and Small-Scale Geoengineering: Theory, Practice and Technology

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

Deadline for manuscript submissions: closed (5 April 2023) | Viewed by 6394

Special Issue Editors


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Guest Editor
Hail Suppression Research Center Antigrad, 360004 Nalchik, Russia
Interests: cloud physics; weather modification; radar meteorology; atmospheric processes

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Guest Editor
Indian Institute of Tropical Meteorology, Pune, Maharashtra 411008, India
Interests: cloud microphysics; boundary-layer physics

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Guest Editor
Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa
Interests: air pollution; climate change; severe weather; cloud seeding

Special Issue Information

Dear Colleagues,

The threats of climate variability and change have reignited the debate on intentional weather modification and small-scale geoengineering. Alternative strategies to mitigate the impacts of severe weather on society are being explored. In the past few decades, the number of severe and adverse weather events has increased several times in many regions. World losses from natural disasters are currently estimated in the hundreds of billions of dollars. According to World Meteorological Organization, more than 50 countries are conducting research and operational projects on hail suppression, precipitation enhancement, improvement of weather conditions, as well as fog and smog dispersion. Several studies have announced promising figures regarding the potential for local temperature amelioration. This Special Issue aims to uncover new findings in weather modification science, present insights from advanced weather models and experiments, explore emerging technological insights, debate the ethical implications of these technologies, and provide direction for the future development of the field. Original scientific contributions that describe experiments and modelling studies, as well as those reviewing the potential impacts and ethical implications, will be considered.

Dr. Ali M. Abshaev
Dr. Thara Prabhakaran
Prof. Dr. Roelof Burger 
Guest Editors

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Keywords

  • weather modification
  • cloud seeding
  • hail suppression
  • rain enhancement
  • rain redistribution
  • fog dispersion
  • frost mitigation
  • suppression of lightning activity
  • seeding materials
  • efficacy assessment
  • small-scale geoengineering
  • temperature amelioration
  • technical systems and instruments
  • numerical simulations
  • cloud chambers
  • cloud micro- and macrophysics

Published Papers (2 papers)

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Research

16 pages, 5190 KiB  
Article
Numerical Simulations of Cloud Number Concentration and Ice Nuclei Influence on Cloud Processes and Seeding Effects
by Wen Fang, Xiaofeng Lou, Xing Zhang and Yu Fu
Atmosphere 2022, 13(11), 1792; https://doi.org/10.3390/atmos13111792 - 29 Oct 2022
Cited by 1 | Viewed by 1253
Abstract
Aerosols, through cloud condensation nuclei (CCN) or ice nuclei (IN), affect cloud microphysics. With increasing concentrations of aerosols, it is important to consider the impact of IN along with CCN on clouds and precipitation in numerical simulations; further, aerosols may also affect the [...] Read more.
Aerosols, through cloud condensation nuclei (CCN) or ice nuclei (IN), affect cloud microphysics. With increasing concentrations of aerosols, it is important to consider the impact of IN along with CCN on clouds and precipitation in numerical simulations; further, aerosols may also affect the weather-modification seeding effect. On the basis of the observation of natural IN concentration and cloud-drop number concentrations, numerical sensitivity experiments for a snowfall case were designed to study the effects of parameters of IN and cloud number concentrations at the cloud base to consider the CCN effects on clouds and precipitation as well as weather-modification seeding effects. Generally, with smaller cloud-drop number concentration, the mass contents were much lower. With more ice nuclei, more ice crystals were able to nucleate, and additional snow particles were generated through ice crystals. Cloud-drop number concentrations heavily affected the location and amount of snowfall. During the 1e9 test, 2.4 mm was the highest reduction in the amount of snowfall; additionally, the amount of snowfall from the combined impacts of increased IN and cloud-drop number decreased in wide areas, and its maximum precipitation reduction exceeded 2.7 mm as well as up to 15% of the daily amount of snowfall. More IN reduced the artificial seeding effect, lowered the increase in snowfall in the center of the seeding, and lowered the reduction of snowfall in the reduction center of the seeding. With more IN, the seeding effect was able to shift approximately 0.6% from the 3.9% seeding effect of the control simulation. Full article
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18 pages, 7238 KiB  
Article
Hygroscopic Ground-Based Generator Cloud Seeding Design; A Case Study from the 2020 Weather Modification in Larona Basin Indonesia
by Findy Renggono, Mahally Kudsy, Krisna Adhitya, Purwadi Purwadi, Halda Aditya Belgaman, Saraswati Dewi, Rahmawati Syahdiza, Erwin Mulyana, Edvin Aldrian and Jon Arifian
Atmosphere 2022, 13(6), 968; https://doi.org/10.3390/atmos13060968 - 15 Jun 2022
Cited by 1 | Viewed by 3213
Abstract
Cloud seeding activities have been carried out in the form of experiments and operation activities as part of water resource management in some parts of the world. Recently, a new method of cloud seeding using a ground-based generator (GBG) was introduced in Indonesia. [...] Read more.
Cloud seeding activities have been carried out in the form of experiments and operation activities as part of water resource management in some parts of the world. Recently, a new method of cloud seeding using a ground-based generator (GBG) was introduced in Indonesia. This method is used to seed orographic clouds with the aid of a 50 m GBG tower located in a mountainous area. By taking advantage of the topography and local circulation, the GBG tower will introduce hygroscopic seeding materials into orographic clouds to accelerate the collision and coalescence process within the clouds, increasing the cloud’s rainfall amount. The hygroscopic ground-based cloud seeding was conducted over the Larona Basin in Sulawesi, Indonesia, from December 2019 to April 2020. There were five towers installed around Larona Basin, located over 500 m above sea level. The results show that there was an increase in monthly rainfall amount from the GBG operation period in January, February, and March compared to its long-term average of as much as 79%, 17%, and 46%, respectively. Meanwhile, despite an increase of 0.4% in Lake Towuti water level, it is still not concluded that the GBG cloud seeding operation was involved in the lake water level raise. Therefore, more studies need to be performed in the future to answer whether the cloud seeding affected the lake water level. Full article
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