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contributor authorSmith, Ronald B.
contributor authorBarstad, Idar
contributor authorBonneau, Laurent
date accessioned2017-06-09T16:52:00Z
date available2017-06-09T16:52:00Z
date copyright2005/01/01
date issued2005
identifier issn0022-4928
identifier otherams-75564.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217914
description abstractOregon?s sharp east?west climate transition was investigated using a linear model of orographic precipitation and four datasets: (a) interpolated annual rain gauge data, (b) satellite-derived precipitation proxies (vegetation and brightness temperature), (c) streamflow data for a small catchment, and (d) stable isotope analysis of water samples from streams. The success of the linear model against these datasets suggests that the main elements of the model (i.e., airflow dynamics, cloud time delays, condensed water advection, and leeside evaporation) are behaving reasonably, although the high Oregon terrain may push the linear theory beyond its range of applicability. A key parameter in the linear model is the cloud delay time (τ), encapsulating the action of orographic cloud processes. Each dataset was examined to see if it can constrain the τ values. The statewide precipitation patterns from rain gauge and satellite constrain the τ values only within a broad range from about 500 to 5000 s. A focus on the sharp gradient on the lee slopes of the Cascades suggests that τ values in the range of 1800?2400 s are preferred. The study of the small Alsea watershed constrains τ little, as it receives a mixture of upslope and spillover precipitation. Stable isotope ratios in stream water indicate an atmospheric drying ratio of about 43%, requiring an average cloud physics delay time greater than τ = 600 s.
publisherAmerican Meteorological Society
titleOrographic Precipitation and Oregon’s Climate Transition
typeJournal Paper
journal volume62
journal issue1
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS-3376.1
journal fristpage177
journal lastpage191
treeJournal of the Atmospheric Sciences:;2005:;Volume( 062 ):;issue: 001
contenttypeFulltext


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