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    The Statistical Relationship between Upslope Flow and Rainfall in California's Coastal Mountains: Observations during CALJET

    Source: Monthly Weather Review:;2002:;volume( 130 ):;issue: 006::page 1468
    Author:
    Neiman, Paul J.
    ,
    Ralph, F. Martin
    ,
    White, A. B.
    ,
    Kingsmill, D. E.
    ,
    Persson, P. O. G.
    DOI: 10.1175/1520-0493(2002)130<1468:TSRBUF>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The California Landfalling Jets Experiment (CALJET) was carried out during the winter of 1997/98, in part to study orographic rainfall in California's coastal mountains using coastal wind profilers. This observational study statistically links hourly rainfall rates observed by tipping-bucket rain gauges in California's quasi-linear coastal mountains to the hourly averaged upslope component of the flow measured by coastal wind profilers immediately upstream. Vertical profiles of the linear correlation coefficient of upslope flow versus rain rate are calculated on a case-by-case basis, for all cases containing a low-level jet (LLJ), and for the winter season of 1997/98. These correlation coefficient profiles show a direct relationship between the magnitude of the upslope flow impacting the coast and the magnitude of the rain rate in the downstream coastal mountains. Maximum correlation coefficients are as large as 0.94 in some individual cases, 0.75 for a composite of LLJ cases, and 0.70 for the winter season. Using three locations with differing coastal terrain characteristics, it is found that the layer of upslope flow that optimally modulates orographic rainfall is near mountaintop, that is, about 1 km above mean sea level for California's coastal ranges. This height also corresponds to the mean altitude of landfalling LLJs observed by the coastal profilers. The correlation coefficient in this layer is largest when the rain rates are used from the coastal mountain sites rather than from the coastal sites, thus further highlighting the physical connection between upslope flow and orographic rainfall in the coastal mountains. The presence of shallow, terrain-blocked flow modulates the correlation coefficient profiles below mountaintop, such that the low-level flow at the coast is poorly correlated with rain rates observed in the coastal mountains. However, cases without significant blocking retain relatively large correlation coefficient values below mountaintop. Landfalling LLJs produce the largest enhancement of upslope flow at the altitude of the LLJ, despite the existence of terrain-modified flows below mountaintop during some LLJ events. The steepest increase in rain rate for a given increase in upslope flow also occurs at jet level, as does the largest correlation coefficient of upslope flow versus rain rate. Therefore, the upslope-induced orographic rain-rate response associated with landfalling LLJs is largest (2.55 mm h?1) and statistically most robust near the altitude of those LLJs.
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      The Statistical Relationship between Upslope Flow and Rainfall in California's Coastal Mountains: Observations during CALJET

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4205016
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    • Monthly Weather Review

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    contributor authorNeiman, Paul J.
    contributor authorRalph, F. Martin
    contributor authorWhite, A. B.
    contributor authorKingsmill, D. E.
    contributor authorPersson, P. O. G.
    date accessioned2017-06-09T16:14:23Z
    date available2017-06-09T16:14:23Z
    date copyright2002/06/01
    date issued2002
    identifier issn0027-0644
    identifier otherams-63956.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4205016
    description abstractThe California Landfalling Jets Experiment (CALJET) was carried out during the winter of 1997/98, in part to study orographic rainfall in California's coastal mountains using coastal wind profilers. This observational study statistically links hourly rainfall rates observed by tipping-bucket rain gauges in California's quasi-linear coastal mountains to the hourly averaged upslope component of the flow measured by coastal wind profilers immediately upstream. Vertical profiles of the linear correlation coefficient of upslope flow versus rain rate are calculated on a case-by-case basis, for all cases containing a low-level jet (LLJ), and for the winter season of 1997/98. These correlation coefficient profiles show a direct relationship between the magnitude of the upslope flow impacting the coast and the magnitude of the rain rate in the downstream coastal mountains. Maximum correlation coefficients are as large as 0.94 in some individual cases, 0.75 for a composite of LLJ cases, and 0.70 for the winter season. Using three locations with differing coastal terrain characteristics, it is found that the layer of upslope flow that optimally modulates orographic rainfall is near mountaintop, that is, about 1 km above mean sea level for California's coastal ranges. This height also corresponds to the mean altitude of landfalling LLJs observed by the coastal profilers. The correlation coefficient in this layer is largest when the rain rates are used from the coastal mountain sites rather than from the coastal sites, thus further highlighting the physical connection between upslope flow and orographic rainfall in the coastal mountains. The presence of shallow, terrain-blocked flow modulates the correlation coefficient profiles below mountaintop, such that the low-level flow at the coast is poorly correlated with rain rates observed in the coastal mountains. However, cases without significant blocking retain relatively large correlation coefficient values below mountaintop. Landfalling LLJs produce the largest enhancement of upslope flow at the altitude of the LLJ, despite the existence of terrain-modified flows below mountaintop during some LLJ events. The steepest increase in rain rate for a given increase in upslope flow also occurs at jet level, as does the largest correlation coefficient of upslope flow versus rain rate. Therefore, the upslope-induced orographic rain-rate response associated with landfalling LLJs is largest (2.55 mm h?1) and statistically most robust near the altitude of those LLJs.
    publisherAmerican Meteorological Society
    titleThe Statistical Relationship between Upslope Flow and Rainfall in California's Coastal Mountains: Observations during CALJET
    typeJournal Paper
    journal volume130
    journal issue6
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(2002)130<1468:TSRBUF>2.0.CO;2
    journal fristpage1468
    journal lastpage1492
    treeMonthly Weather Review:;2002:;volume( 130 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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