“…Comparable values (−12‰ to −24‰) were measured during a 1985 March storm in Kingvale, CA, which is located upwind of the Sierra Nevada crest at an elevation of 1859 m [ Warburton et al , ]. Warburton and DeFelice [] analyzed samples in the Central Sierra Nevada and found that snow formed through vapor deposition had a δ 18 O signature that ranged from −18.4‰ to −22.9‰, which corresponds well with our cold temperature profile experiments (see further discussion in section 3). The snow samples from the same study that indicated growth by a combination of riming and vapor deposition were less depleted and ranged between −6.4‰ and −16.8‰, which resembles results in our warm simulations (see section 3).…”
Section: Model and Experimentssupporting
confidence: 80%
“…The snow samples from the same study that indicated growth by a combination of riming and vapor deposition were less depleted and ranged between −6.4‰ and −16.8‰, which resembles results in our warm simulations (see section 3). Values similar to Warburton and DeFelice [] were measured in Colorado by Lowenthal et al [] for snow that had undergone little riming. In the same study, snow that experienced more riming (as indicated by higher concentrations of sulfate) was less depleted and ranged between −15.6‰ and −20.4‰.…”
The sensitivity of mixed-phase orographic clouds, precipitation, and their isotopic content to changes in dynamics, thermodynamics, and microphysics is explored in idealized two-dimensional flow over a mountain barrier. 18 O precip with increasing mountain height is not just a function of decreasing temperature but also reflects the changing contributions and distinct isotopic signatures of riming of cloud liquid and vapor deposition onto snow, the leading sources of precipitation in these simulations. The changes in 18 O precip with mountain height, temperature, and CDNC are governed in part by the microphysical pathways through which precipitating hydrometeors are formed and grow.
“…Comparable values (−12‰ to −24‰) were measured during a 1985 March storm in Kingvale, CA, which is located upwind of the Sierra Nevada crest at an elevation of 1859 m [ Warburton et al , ]. Warburton and DeFelice [] analyzed samples in the Central Sierra Nevada and found that snow formed through vapor deposition had a δ 18 O signature that ranged from −18.4‰ to −22.9‰, which corresponds well with our cold temperature profile experiments (see further discussion in section 3). The snow samples from the same study that indicated growth by a combination of riming and vapor deposition were less depleted and ranged between −6.4‰ and −16.8‰, which resembles results in our warm simulations (see section 3).…”
Section: Model and Experimentssupporting
confidence: 80%
“…The snow samples from the same study that indicated growth by a combination of riming and vapor deposition were less depleted and ranged between −6.4‰ and −16.8‰, which resembles results in our warm simulations (see section 3). Values similar to Warburton and DeFelice [] were measured in Colorado by Lowenthal et al [] for snow that had undergone little riming. In the same study, snow that experienced more riming (as indicated by higher concentrations of sulfate) was less depleted and ranged between −15.6‰ and −20.4‰.…”
The sensitivity of mixed-phase orographic clouds, precipitation, and their isotopic content to changes in dynamics, thermodynamics, and microphysics is explored in idealized two-dimensional flow over a mountain barrier. 18 O precip with increasing mountain height is not just a function of decreasing temperature but also reflects the changing contributions and distinct isotopic signatures of riming of cloud liquid and vapor deposition onto snow, the leading sources of precipitation in these simulations. The changes in 18 O precip with mountain height, temperature, and CDNC are governed in part by the microphysical pathways through which precipitating hydrometeors are formed and grow.
“…More recent work has verified that distance from the sea is equally important as altitude, suggesting that progressive airmass transformation is occurring (Cortes and Farvolden 1989;Zwally et al 1998;Giovinetto et al 1997). Other studies have used isotopes to reveal dominant cloud physics processes (Warburton and DeFelice 1986;Smith 1992).…”
Section: Isotopic Estimates Of the Atmospheric Drying Ratiomentioning
Oregon'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 (), encapsulating the action of orographic cloud processes. Each dataset was examined to see if it can constrain the values. The statewide precipitation patterns from rain gauge and satellite constrain the 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 values in the range of 1800-2400 s are preferred. The study of the small Alsea watershed constrains 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 ϭ 600 s.
“…In this process, unrimed snow crystals falling from mid-to upper-level "seeder" clouds must descend through the "feeder" cloud of supercooled droplets before reaching the surface. The region of the heaviest riming has been shown to occur in the lower levels within 1-2 km of the surface (Rauber et al 1986;Heggli and Rauber 1988;Warburton and DeFelice 1986). This low-level riming process enhances the precipitation efficiency, such that the amount of rime has been shown to comprise up to 20%-50% of the final snow mass that reaches the surface (Mitchell et al 1990;Borys et al 2003).…”
This paper presents the development and application of a binned approach to cloud-droplet riming within a bulk microphysics model. This approach provides a more realistic representation of collision-coalescence that occurs between ice and cloud particles of various sizes. The binned approach allows the application of specific collection efficiencies, within the stochastic collection equation, for individual size bins of droplets and ice particles; this is in sharp contrast to the bulk approach that uses a single collection efficiency to describe the growth of a distribution of an ice species by collecting cloud droplets. Simulations of a winter orographic cloud event reveal a reduction in riming when using the binned riming approach and, subsequently, larger amounts of supercooled liquid water within the orographic cloud.
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