View in EDS

Effects of Cloud Seeding on Precipitation Based on Long-Term Numerical Simulations and Seasonal Case Analyses.

Saved in:
Bibliographic Details
Title: Effects of Cloud Seeding on Precipitation Based on Long-Term Numerical Simulations and Seasonal Case Analyses.
Authors: Moon, Soo-Hwan1,2 (AUTHOR), Lim, Yun-Kyu1 (AUTHOR), Song, Sang-Keun2 (AUTHOR) songsk@jejunu.ac.kr, Lee, Seoung Soo3,4,5 (AUTHOR), Kang, Chae-Yeon6 (AUTHOR), Ko, Eun-A2 (AUTHOR), Chang, Ki-Ho1 (AUTHOR)
Source: Advances in Atmospheric Sciences. Nov2025, Vol. 42 Issue 11, p2352-2364. 13p.
Subject Terms: *Rain-making, *Meteorological precipitation, *Dams, *Seasonal temperature variations, *Weather forecasting, *Computer simulation
Geographic Terms: South Korea
Abstract (English): This study quantitatively analyzes the effects of cloud seeding on precipitation and seasonal variations over the Boryeong Dam region, which has the lowest dam storage in South Korea, based on a one-year numerical simulation for 2021. The Morrison microphysics scheme in the WRF (Weather Research and Forecasting) model was modified to estimate differences in precipitation between simulations with seeding materials (AgI and CaCl2; SEED) and without them (UNSD). The effect of cloud seeding on increasing precipitation or artificial rainfall (AR) between the two simulations was highest in August (average: 0.21 mm; 31% of the SEED-simulated monthly mean) and lowest in January (average: 0.003 mm; 30%). This large AR may be attributable to a combination of abundant moisture from the summer monsoon climate and enhanced cloud droplet growth resulting from cloud seeding. In the analysis of seasonal representative cases, cloud seeding demonstrated more pronounced effects in spring and summer, with mean 180-min accumulated AR values of 0.46 and 0.43 mm, respectively, within the study area. In the spring, where an actual flight experiment was conducted, the simulated mean 180-min accumulated AR (1.41 mm) in the flight experiment area was close to the observed value (1.61 mm) for the same area. Additionally, cloud seeding promoted the hygroscopic growth of water vapor, thereby reducing the cloud water mixing ratio and increasing the rain water mixing ratio. Seasonal cross-sectional analysis further highlighted the impact of cloud seeding on changes in these two mixing ratios, with the most pronounced effects observed in spring and summer. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 摘 要: 保宁坝地区是韩国蓄水量最低的坝区, 本文使用 WRF (Weather Research and Forecasting) 模式模拟了 2021 年保宁坝地区的全年降水, 定量分析了催化对月均和不同季节降水的影响。 本研究基于 WRF 模式中改进的 Morrison 微物理方案模拟了催化试验 (催化剂为 AgI 和 CaCl2; SEED) 对降水的影响, 并分析了相对于未催化试验 (UNSD) 降水量的差异。 在两组模拟试验中, 催化增雨效果在 8 月份最高 (平均增加 0.21mm; 占月均值的 31%), 1 月份最低 (平均增加 0.003 mm; 占月均值的 30%)。 如此显著的人工增雨量可能源于夏季季风期间充足的水汽以及催化作业所导致的云滴加速增长的共同作用。 对不同季节典型降水个例的分析表明, 春季和夏季催化增雨效果较为显著, 180 分钟内平均累积增雨量分别为 0.46 和 0.43 mm。 通过与春季一次飞机催化试验进行的对比分析表明, 试验区模拟的 180 分钟累积催化增雨量为 1.41 mm, 与观测值 1.61 mm 接近。 此外, 催化促进了消耗水汽的吸湿增长, 降低了云水比含水量并增加了雨水比含水量。 对不同季节水凝物含量垂直剖面的分析进一步证实了催化对云水和雨水比含水量变化的影响, 其影响效果在春季和夏季尤为明显。 [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
FullText Text:
  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 187971417
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Effects of Cloud Seeding on Precipitation Based on Long-Term Numerical Simulations and Seasonal Case Analyses.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Moon%2C+Soo-Hwan%22">Moon, Soo-Hwan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lim%2C+Yun-Kyu%22">Lim, Yun-Kyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Sang-Keun%22">Song, Sang-Keun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> songsk@jejunu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+Seoung+Soo%22">Lee, Seoung Soo</searchLink><relatesTo>3,4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kang%2C+Chae-Yeon%22">Kang, Chae-Yeon</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ko%2C+Eun-A%22">Ko, Eun-A</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Ki-Ho%22">Chang, Ki-Ho</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Advances+in+Atmospheric+Sciences%22">Advances in Atmospheric Sciences</searchLink>. Nov2025, Vol. 42 Issue 11, p2352-2364. 13p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Rain-making%22">Rain-making</searchLink><br />*<searchLink fieldCode="DE" term="%22Meteorological+precipitation%22">Meteorological precipitation</searchLink><br />*<searchLink fieldCode="DE" term="%22Dams%22">Dams</searchLink><br />*<searchLink fieldCode="DE" term="%22Seasonal+temperature+variations%22">Seasonal temperature variations</searchLink><br />*<searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22South+Korea%22">South Korea</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: This study quantitatively analyzes the effects of cloud seeding on precipitation and seasonal variations over the Boryeong Dam region, which has the lowest dam storage in South Korea, based on a one-year numerical simulation for 2021. The Morrison microphysics scheme in the WRF (Weather Research and Forecasting) model was modified to estimate differences in precipitation between simulations with seeding materials (AgI and CaCl2; SEED) and without them (UNSD). The effect of cloud seeding on increasing precipitation or artificial rainfall (AR) between the two simulations was highest in August (average: 0.21 mm; 31% of the SEED-simulated monthly mean) and lowest in January (average: 0.003 mm; 30%). This large AR may be attributable to a combination of abundant moisture from the summer monsoon climate and enhanced cloud droplet growth resulting from cloud seeding. In the analysis of seasonal representative cases, cloud seeding demonstrated more pronounced effects in spring and summer, with mean 180-min accumulated AR values of 0.46 and 0.43 mm, respectively, within the study area. In the spring, where an actual flight experiment was conducted, the simulated mean 180-min accumulated AR (1.41 mm) in the flight experiment area was close to the observed value (1.61 mm) for the same area. Additionally, cloud seeding promoted the hygroscopic growth of water vapor, thereby reducing the cloud water mixing ratio and increasing the rain water mixing ratio. Seasonal cross-sectional analysis further highlighted the impact of cloud seeding on changes in these two mixing ratios, with the most pronounced effects observed in spring and summer. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Chinese)
  Group: Ab
  Data: 摘 要: 保宁坝地区是韩国蓄水量最低的坝区, 本文使用 WRF (Weather Research and Forecasting) 模式模拟了 2021 年保宁坝地区的全年降水, 定量分析了催化对月均和不同季节降水的影响。 本研究基于 WRF 模式中改进的 Morrison 微物理方案模拟了催化试验 (催化剂为 AgI 和 CaCl2; SEED) 对降水的影响, 并分析了相对于未催化试验 (UNSD) 降水量的差异。 在两组模拟试验中, 催化增雨效果在 8 月份最高 (平均增加 0.21mm; 占月均值的 31%), 1 月份最低 (平均增加 0.003 mm; 占月均值的 30%)。 如此显著的人工增雨量可能源于夏季季风期间充足的水汽以及催化作业所导致的云滴加速增长的共同作用。 对不同季节典型降水个例的分析表明, 春季和夏季催化增雨效果较为显著, 180 分钟内平均累积增雨量分别为 0.46 和 0.43 mm。 通过与春季一次飞机催化试验进行的对比分析表明, 试验区模拟的 180 分钟累积催化增雨量为 1.41 mm, 与观测值 1.61 mm 接近。 此外, 催化促进了消耗水汽的吸湿增长, 降低了云水比含水量并增加了雨水比含水量。 对不同季节水凝物含量垂直剖面的分析进一步证实了催化对云水和雨水比含水量变化的影响, 其影响效果在春季和夏季尤为明显。 [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=187971417
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00376-025-4476-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 2352
    Subjects:
      – SubjectFull: Rain-making
        Type: general
      – SubjectFull: Meteorological precipitation
        Type: general
      – SubjectFull: Dams
        Type: general
      – SubjectFull: Seasonal temperature variations
        Type: general
      – SubjectFull: Weather forecasting
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: South Korea
        Type: general
    Titles:
      – TitleFull: Effects of Cloud Seeding on Precipitation Based on Long-Term Numerical Simulations and Seasonal Case Analyses.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Moon, Soo-Hwan
      – PersonEntity:
          Name:
            NameFull: Lim, Yun-Kyu
      – PersonEntity:
          Name:
            NameFull: Song, Sang-Keun
      – PersonEntity:
          Name:
            NameFull: Lee, Seoung Soo
      – PersonEntity:
          Name:
            NameFull: Kang, Chae-Yeon
      – PersonEntity:
          Name:
            NameFull: Ko, Eun-A
      – PersonEntity:
          Name:
            NameFull: Chang, Ki-Ho
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 02561530
          Numbering:
            – Type: volume
              Value: 42
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Advances in Atmospheric Sciences
              Type: main
ResultId 1