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A Study of Cloud Seeding in Wintertime Orographic Clouds
A Study of Cloud Seeding in Wintertime Orographic Clouds
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103104
- ISBN
- 9798315702047
- DDC
- 551.5
- 저자명
- Xie, Zhixing.
- 서명/저자
- A Study of Cloud Seeding in Wintertime Orographic Clouds
- 발행사항
- [Sl] : University of Colorado at Boulder, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 131 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
- 주기사항
- Advisor: Friedrich, Katja.
- 학위논문주기
- Thesis (Ph.D.)--University of Colorado at Boulder, 2025.
- 초록/해제
- 요약Cloud seeding has long been investigated as an approach to enhance snowpack in wintertime orographic clouds, yet its efficiency and underlying physical mechanisms remain uncertain. This dissertation explores the effectiveness of cloud seeding by integrating observational data and high-resolution numerical simulations. The study is grounded in data from the Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE), a comprehensive field campaign in the Payette Mountains of Idaho that combined airborne and ground-based observations from January to March 2017.This research addresses three critical aspects of wintertime orographic cloud seeding: (1) the influence of synoptic weather patterns and topographical features on the variability of natural snowfall and the suitability of cloud seeding practices, (2) the cloud microphysical responses to cloud seeding, and (3) the effectiveness of cloud seeding in enhancing ice initiation, as simulated using the Weather Research and Forecasting (WRF) model integrated with a cloud-seeding parameterization (WRF-WxMod).The main results reveal that (1) cloud microphysical properties, such as ice water content (IWC) and supercooled liquid water (SLW), as well as snowfall distribution, are affected by synoptic-scale moisture transport, temperature advection, and local topographical lifting processes. Specifically, warm zonal flow (WZF) synoptic patterns displayed a lower IWC but substantial SLW in the diffusion/dendritic growth layer, suggesting a favorable scenario for cloud seeding. (2) During an airborne seeding case, seeded clouds exhibited significantly higher IWC and ice particle concentrations than unseeded clouds, with IWC up to 0.20 g m-3 and ice particles ( 400 µm) exceeding 7 L-1. Seeded clouds also showed a 30% decrease in mean liquid water content (LWC) and droplet concentrations, indicating efficient glaciation influenced by AgI. Snow developed in seeded clouds 15-40 minutes after AgI release, marked by a shift from mixed-phase clouds with SLW to ice clouds, and the lidar-measured linear depolarization ratio (LDR) increased to 0.3. (3) The numerical experiments revealed a strong correlation between AgI concentration and ice water mass enhancement, with the most effective ice growth occurring in regions of significant AgI concentrations. Cloud seeding impact on ice initiation was efficient under conditions characterized by temperatures between -18°C and -14°C, unstable stratification (Ri 0.25), vertical updrafts (W ̅= 0.6 m s-1), supersaturation with respect to ice (averaged Si ~1.1), sub-saturation with respect to water (averaged Sw ~0.96).
- 일반주제명
- Atmospheric sciences
- 일반주제명
- Chemical oceanography
- 일반주제명
- Meteorology
- 키워드
- Cloud seeding
- 기타저자
- University of Colorado at Boulder Atmospheric and Oceanic Sciences
- 기본자료저록
- Dissertations Abstracts International. 86-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017356937
■00520260202103104
■006m o d
■007cr#unu||||||||
■020 ▼a9798315702047
■035 ▼a(MiAaPQ)AAI31935173
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a551.5
■1001 ▼aXie, Zhixing.
■24512▼aA Study of Cloud Seeding in Wintertime Orographic Clouds
■260 ▼a[Sl]▼bUniversity of Colorado at Boulder▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a131 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-11, Section: B.
■500 ▼aAdvisor: Friedrich, Katja.
■5021 ▼aThesis (Ph.D.)--University of Colorado at Boulder, 2025.
■520 ▼aCloud seeding has long been investigated as an approach to enhance snowpack in wintertime orographic clouds, yet its efficiency and underlying physical mechanisms remain uncertain. This dissertation explores the effectiveness of cloud seeding by integrating observational data and high-resolution numerical simulations. The study is grounded in data from the Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE), a comprehensive field campaign in the Payette Mountains of Idaho that combined airborne and ground-based observations from January to March 2017.This research addresses three critical aspects of wintertime orographic cloud seeding: (1) the influence of synoptic weather patterns and topographical features on the variability of natural snowfall and the suitability of cloud seeding practices, (2) the cloud microphysical responses to cloud seeding, and (3) the effectiveness of cloud seeding in enhancing ice initiation, as simulated using the Weather Research and Forecasting (WRF) model integrated with a cloud-seeding parameterization (WRF-WxMod).The main results reveal that (1) cloud microphysical properties, such as ice water content (IWC) and supercooled liquid water (SLW), as well as snowfall distribution, are affected by synoptic-scale moisture transport, temperature advection, and local topographical lifting processes. Specifically, warm zonal flow (WZF) synoptic patterns displayed a lower IWC but substantial SLW in the diffusion/dendritic growth layer, suggesting a favorable scenario for cloud seeding. (2) During an airborne seeding case, seeded clouds exhibited significantly higher IWC and ice particle concentrations than unseeded clouds, with IWC up to 0.20 g m-3 and ice particles ( 400 µm) exceeding 7 L-1. Seeded clouds also showed a 30% decrease in mean liquid water content (LWC) and droplet concentrations, indicating efficient glaciation influenced by AgI. Snow developed in seeded clouds 15-40 minutes after AgI release, marked by a shift from mixed-phase clouds with SLW to ice clouds, and the lidar-measured linear depolarization ratio (LDR) increased to 0.3. (3) The numerical experiments revealed a strong correlation between AgI concentration and ice water mass enhancement, with the most effective ice growth occurring in regions of significant AgI concentrations. Cloud seeding impact on ice initiation was efficient under conditions characterized by temperatures between -18°C and -14°C, unstable stratification (Ri 0.25), vertical updrafts (W ̅= 0.6 m s-1), supersaturation with respect to ice (averaged Si ~1.1), sub-saturation with respect to water (averaged Sw ~0.96).
■590 ▼aSchool code: 0051.
■650 4▼aAtmospheric sciences
■650 4▼aChemical oceanography
■650 4▼aMeteorology
■653 ▼aCloud microphysics
■653 ▼aCloud seeding
■653 ▼aNumerical modeling
■653 ▼aIce water content
■690 ▼a0725
■690 ▼a0557
■690 ▼a0403
■71020▼aUniversity of Colorado at Boulder▼bAtmospheric and Oceanic Sciences.
■7730 ▼tDissertations Abstracts International▼g86-11B.
■790 ▼a0051
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17356937▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
