TY - JOUR
T1 - Glaciogenic Seeding of Cold-Season Orographic Clouds to Enhance Precipitation
AU - Geerts, Bart
AU - Rauber, Robert M.
N1 - Physical evaluations. Much progress has been made in recent years through physical evaluations (Rauber et al. 2019), combining targeted measurements using novel instruments such as cloud radars with numerical simulations of natural and seeded cloud processes, as in the 2017 Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE; Tessendorf et al. 2019). SNOWIE studied the cloud-microphysical processes in aerially released plumes of AgI with radar and airborne in situ cloud measurements. SNOWIE research was sponsored by the United States National Science Foundation (NSF). The experiment piggybacked on a long-term operational seeding program conducted by the Idaho Power Company, Inc. (IPC). Unambiguous attribution of precipitation enhancement was possible in three SNOWIE cases. Very little natural precipitation occurred in these three cases, and sufficient SLW was present, such that AgI-induced snow growth was obvious on radar as lines of enhanced reflectivity downwind of the seeding aircraft (French et al. 2018). Similar signatures in SLW clouds have been observed elsewhere (e.g., Wang et al. 2021), even in operational radar reflectivity imagery. Friedrich et al. (2020) quantified the surface precipitation resulting from the radar-detected snow plumes in the three SNOWIE cases: the total amount of water generated by cloud seeding ranged from 1.2 × 105m3(100 acre feet) for 20 min of cloud seeding to 3.4 × 105 m3 (275 acre feet) for 24 min of cloud seeding in these cases. Idaho Power has long collected measurements of precipitation and silver-in-snow (from AgI) in and around their target watersheds, in an attempt to quantify the impact on the seasonal snowpack, and it uses the results of this ongoing research to justify its seeding operations. IPC was a natural partner for the NSF-funded SNOWIE research because the company sought more confidence in its seeding impact and more scientifically based guidance in its seeding decisions.
Acknowledgments. Our SNOWIE research was funded by the National Science Foundation Grants AGS-1547101, AGS-1546939, AGS-2016106, AGS-2016077. The essay benefitted from discussions with Shaun Parkinson and Derek Blestrud at IPC, Roy Rasmussen at NCAR, and Art Rangno, retired from the University of Washington. It further benefitted from the comments by Andrea Flossmann and several anonymous reviewers.
PY - 2022/10
Y1 - 2022/10
N2 - This essay is intended to provide stakeholders and news outlets with a plain-language summary of orographic cloud seeding research, new capabilities, and prospects. Specifically, we address the question of whether a widely practiced type of weather modification, glaciogenic seeding of orographic clouds throughout the cold season, can produce an economically useful increase in precipitation over a catchment-scale area. Our objective is to clarify current scientific understanding of how cloud seeding may affect precipitation, in terms that are more accessible than in the peer-reviewed literature. Public confidence that cloud seeding "works" is generally high in regions with operational seeding, notwithstanding decades of scientific reports indicating that the changes in precipitation are uncertain. Randomized seeding experiments have a solid statistical foundation and focus on the outcome, but, in light of the small seeding signal and the naturally noisy nature of precipitation, they generally require too many cases to be affordable, and therefore are discouraged. A complementary method, physical evaluation, examines changes in cloud and precipitation processes when seeding material is injected and yields insights into the most suitable ambient conditions. Recent physical evaluations have established a robust, welldocumented scientific basis for glaciogenic seeding of cold-season orographic clouds to enhance precipitation. The challenge of seeding impact assessment remains, but evidence is provided that, thanks to recent significant progress in observational and computational capabilities, the research community is finally on track to be able to provide stakeholders with guidance on the likely quantitative precipitation impact of cloud seeding in their region. We recommend further process-level evaluations combined with highly resolved, well-constrained numerical simulations of seasonal cloud seeding.
AB - This essay is intended to provide stakeholders and news outlets with a plain-language summary of orographic cloud seeding research, new capabilities, and prospects. Specifically, we address the question of whether a widely practiced type of weather modification, glaciogenic seeding of orographic clouds throughout the cold season, can produce an economically useful increase in precipitation over a catchment-scale area. Our objective is to clarify current scientific understanding of how cloud seeding may affect precipitation, in terms that are more accessible than in the peer-reviewed literature. Public confidence that cloud seeding "works" is generally high in regions with operational seeding, notwithstanding decades of scientific reports indicating that the changes in precipitation are uncertain. Randomized seeding experiments have a solid statistical foundation and focus on the outcome, but, in light of the small seeding signal and the naturally noisy nature of precipitation, they generally require too many cases to be affordable, and therefore are discouraged. A complementary method, physical evaluation, examines changes in cloud and precipitation processes when seeding material is injected and yields insights into the most suitable ambient conditions. Recent physical evaluations have established a robust, welldocumented scientific basis for glaciogenic seeding of cold-season orographic clouds to enhance precipitation. The challenge of seeding impact assessment remains, but evidence is provided that, thanks to recent significant progress in observational and computational capabilities, the research community is finally on track to be able to provide stakeholders with guidance on the likely quantitative precipitation impact of cloud seeding in their region. We recommend further process-level evaluations combined with highly resolved, well-constrained numerical simulations of seasonal cloud seeding.
KW - Cloud seeding
KW - Orographic effects
KW - Weather modification
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U2 - 10.1175/BAMS-D-21-0279.1
DO - 10.1175/BAMS-D-21-0279.1
M3 - Article
AN - SCOPUS:85141278743
SN - 0003-0007
VL - 103
SP - E2302-E2314
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 10
ER -