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Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program
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2021
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Source: Journal of Geophysical Research: Atmospheres, 126(21)
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Journal Title:Journal of Geophysical Research: Atmospheres
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Description:Landfalling atmospheric rivers (ARs) over the western US are responsible for ∼30%–50% of the annual precipitation, and their accurate forecasts are essential for aiding water management decisions and reducing flood risks. Sparse coverage of conventional observations over the Pacific Ocean, which can cause inadequate upstream initial conditions for numerical weather prediction models, may limit the improvement of forecast skill for these events. A targeted field program called AR Reconnaissance (Recon) was initiated in 2016 to better understand and reduce forecast errors of landfalling ARs at 1–5 days lead times. During the winter seasons of 2016, 2018, and 2019, 15 Intensive Observation Periods
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Source:Journal of Geophysical Research: Atmospheres, 126(21)
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ISSN:2169-897X;2169-8996;
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Rights Information:CC BY
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Compliance:Library
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