Mesoscale predictability under various synoptic regimes

Numerical model experiments using slightly rotated terrain are compared to gauge the sentivity of mesoscale forecasts to small perturbations that arise due to small synoptic-scale wind direction errors relative to topographic features. The surface and above surface wind speed errors, as well as...

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Main Authors: W. A. Nuss, D. K. Miller
Format: Article
Language:English
Published: Copernicus Publications 2001-01-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/8/429/2001/npg-8-429-2001.pdf
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author W. A. Nuss
D. K. Miller
author_facet W. A. Nuss
D. K. Miller
author_sort W. A. Nuss
collection DOAJ
description Numerical model experiments using slightly rotated terrain are compared to gauge the sentivity of mesoscale forecasts to small perturbations that arise due to small synoptic-scale wind direction errors relative to topographic features. The surface and above surface wind speed errors, as well as the precipitation forecast errors, are examined for a landfalling cold front that occurred during the California Landfalling Jets (CALJET) experiment. The slight rotation in the terrain results in nearly identical synoptic-scale forecasts, but result in substantial forecast errors on the mesoscale in both wind and precipitation. The largest mesoscale errors occur when the front interacts with the topography, which feeds back on the frontal dynamics to produce differing frontal structures, which, in turn, result in mesoscale errors as large as 40% (60%) of the observed mesoscale variability in rainfall (winds). This sensitivity differs for the two rotations and a simple average can still have a substantial error. The magnitude of these errors is very large given the size of the perturbation, which raises concerns about the predictability of the detailed mesoscale structure for landfalling fronts.
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spelling doaj.art-330dda7d7f3b44ccb83271886fc484f82022-12-22T03:06:43ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462001-01-0186429438Mesoscale predictability under various synoptic regimesW. A. NussD. K. MillerNumerical model experiments using slightly rotated terrain are compared to gauge the sentivity of mesoscale forecasts to small perturbations that arise due to small synoptic-scale wind direction errors relative to topographic features. The surface and above surface wind speed errors, as well as the precipitation forecast errors, are examined for a landfalling cold front that occurred during the California Landfalling Jets (CALJET) experiment. The slight rotation in the terrain results in nearly identical synoptic-scale forecasts, but result in substantial forecast errors on the mesoscale in both wind and precipitation. The largest mesoscale errors occur when the front interacts with the topography, which feeds back on the frontal dynamics to produce differing frontal structures, which, in turn, result in mesoscale errors as large as 40% (60%) of the observed mesoscale variability in rainfall (winds). This sensitivity differs for the two rotations and a simple average can still have a substantial error. The magnitude of these errors is very large given the size of the perturbation, which raises concerns about the predictability of the detailed mesoscale structure for landfalling fronts.http://www.nonlin-processes-geophys.net/8/429/2001/npg-8-429-2001.pdf
spellingShingle W. A. Nuss
D. K. Miller
Mesoscale predictability under various synoptic regimes
Nonlinear Processes in Geophysics
title Mesoscale predictability under various synoptic regimes
title_full Mesoscale predictability under various synoptic regimes
title_fullStr Mesoscale predictability under various synoptic regimes
title_full_unstemmed Mesoscale predictability under various synoptic regimes
title_short Mesoscale predictability under various synoptic regimes
title_sort mesoscale predictability under various synoptic regimes
url http://www.nonlin-processes-geophys.net/8/429/2001/npg-8-429-2001.pdf
work_keys_str_mv AT wanuss mesoscalepredictabilityundervarioussynopticregimes
AT dkmiller mesoscalepredictabilityundervarioussynopticregimes