Challenges in Numerical Weather Prediction of the 10 August 2020 Midwestern Derecho: Examples from the FV3-LAM

dc.contributor.author Gallus, William
dc.contributor.author Harrold, Michelle
dc.contributor.department Department of the Earth, Atmosphere, and Climate
dc.date.accessioned 2025-05-28T15:24:53Z
dc.date.available 2025-05-28T15:24:53Z
dc.date.issued 2023-08
dc.description.abstract A severe derecho impacted the Midwestern United States on 10 August 2020, causing over $12 billion (U.S. dollars) in damage, and producing peak winds estimated at 63 m s−1, with the worst impacts in Iowa. The event was not forecast well by operational forecasters, nor even by operational and quasi-operational convection-allowing models. In the present study, nine simulations are performed using the Limited Area Model version of the Finite-Volume-Cubed-Sphere model (FV3-LAM) with three horizontal grid spacings and two physics suites. In addition, when a prototype of the Rapid Refresh Forecast System (RRFS) physics is used, sensitivity tests are performed to examine the impact of using the Grell–Freitas (GF) convective scheme. Several unusual results are obtained. With both the RRFS (not using GF) and Global Forecast System (GFS) physics suites, simulations using relatively coarse 13- and 25-km horizontal grid spacing do a much better job of showing an organized convective system in Iowa during the daylight hours of 10 August than the 3-km grid spacing runs. In addition, the RRFS run with 25-km grid spacing becomes much worse when the GF convective scheme is used. The 3-km RRFS run that does not use the GF scheme develops spurious nocturnal convection the night before the derecho, removing instability and preventing the derecho from being simulated at all. When GF is used, the spurious storms are removed and an excellent forecast is obtained with an intense bowing echo, exceptionally strong cold pool, and roughly 50 m s−1 surface wind gusts.
dc.description.comments This article is published as Gallus, W. A., and M. A. Harrold, 2023: Challenges in Numerical Weather Prediction of the 10 August 2020 Midwestern Derecho: Examples from the FV3-LAM. Wea. Forecasting, 38, 1429–1445, https://doi.org/10.1175/WAF-D-23-0019.1.
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/nrQB59Oz
dc.language.iso en
dc.publisher American Meteorological Society
dc.rights © Copyright 2023 American Meteorological Society (AMS). For permission to reuse any portion of this Work, please contact permissions@ametsoc.org. Any use of material in this Work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act (17 U.S. Code § 107) or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC § 108) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (https://www.copyright.com). Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (https://www.ametsoc.org/PUBSCopyrightPolicy).
dc.source.uri https://doi.org/10.1175/WAF-D-23-0019.1 *
dc.subject.disciplines DegreeDisciplines::Physical Sciences and Mathematics::Oceanography and Atmospheric Sciences and Meteorology::Meteorology
dc.subject.keywords Convective storms/systems
dc.subject.keywords Mesoscale forecasting
dc.subject.keywords Numerical weather prediction/forecasting
dc.subject.keywords Convective parameterization
dc.title Challenges in Numerical Weather Prediction of the 10 August 2020 Midwestern Derecho: Examples from the FV3-LAM
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 782ee936-54e9-45de-a7e6-2feb462aea2a
relation.isOrgUnitOfPublication 29272786-4c4a-4d63-98d6-e7b6d6730c45
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2023-Gallus-ChallengesNumerical.pdf
Size:
6.03 MB
Format:
Adobe Portable Document Format
Description:
Collections