An assessment of winter orographic precipitation and cloud-seeding potential in wyoming

Sarah A. Tessendorf, Kyoko Ikeda, Courtney Weeks, Roy Rasmussen, Jamie Wolff, Lulin Xue

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

This paper presents an evaluation of the precipitation patterns and seedability of orographic clouds in Wyoming using SNOTEL precipitation data and a high-resolution multiyear model simulation over an 8-yr period. A key part of assessing the potential for cloud seeding is to understand the natural precipitation patterns and how often atmospheric conditions and clouds meet cloud-seeding criteria. The analysis shows that high-resolution model simulations are useful tools for studying patterns of orographic precipitation and establishing the seedability of clouds by providing information that is either missed by or not available from current observational networks. This study indicates that the ground-based seeding potential in some mountain ranges in Wyoming is limited by flow blocking and/or prevailing winds that were not normal to the barrier to produce upslope flow. Airborne seeding generally had the most potential for all of the mountain ranges that were studied.

Original languageEnglish
Pages (from-to)1217-1238
Number of pages22
JournalJournal of Applied Meteorology and Climatology
Volume59
Issue number7
DOIs
StatePublished - 2020

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