Improved Detection Using Negative Elevation Angles for Mountaintop WSR-88Ds. Part II: Simulations of the Three Radars Covering Utah

Wood, Vincent T.; Brown, Rodger A.; Vasiloff, Steven V.

doi:10.1175/1520-0434(2003)18<393:idunea>2.0.co;2

Cited by 23 publications

(20 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…produced little measurable precipitation in the SLV due to sublimation below cloud base [the lowest-elevation tilt of the KMTX radar is centered 1500 m or more above the SLV floor (Wood et al 2003)]. Given the westsouthwesterly flow, the lack of windward precipitation enhancement upstream of the central Wasatch Mountains may reflect shadowing effects of the Stansbury and Oquirrh Mountains (see Fig.…”

Section: Orographic Precipitation Structures During the Prefrontal Stagementioning

confidence: 99%

“…Often these variations occur at meso-g (2-20 km) or even micro-a (200 m-2 km) scales (e.g., Rangno 1986;Neiman et al 2002;Minder et al 2008;Reuder et al 2007) and are inadequately observed by operational radars or precipitation-gauge networks (e.g., Westrick et al 1999;Wood et al 2003;Beck and Bousquet 2013). Although high-resolution modeling systems are increasingly able to capture climatological precipitation gradients in mountainous regions (e.g., Ikeda et al 2010), they frequently produce large errors during individual storms (e.g., Minder et al 2008).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Finescale Orographic Precipitation Variability and Gap-Filling Radar Potential in Little Cottonwood Canyon, Utah

Campbell

Steenburgh

2014

Weather and Forecasting

View full text Add to dashboard Cite

Finescale variations in orographic precipitation pose a major challenge for weather prediction, winter road maintenance, and avalanche forecasting and mitigation in mountainous regions. In this investigation, groundbased X-band radar observations collected during intensive observing period 6 (IOP6) of the Storm Chasing Utah Style Study (SCHUSS) are used to provide an example of these variations during a winter storm in the Wasatch Mountains of northern Utah. Emphasis is placed on precipitation features in and around Little Cottonwood Canyon (LCC), which cuts orthogonally eastward into the central Wasatch Mountains. Precipitation during the weakly stratified prefrontal storm stage featured a wavelike barrier-scale reflectivity maximum over the Wasatch Crest and upper LCC that extended weakly westward along the transverse ridges flanking LCC. This precipitation pattern appeared to reflect a veering wind profile, with southwesterly flow over the transverse ridges but cross-barrier westerly flow farther aloft. Sublimation within dry subcloud air further diminished low-level radar reflectivities over lower LCC. In contrast, the cold-frontal stage was associated with stronger reflectivities over lower LCC and the adjoining north-to northwest-facing canyon wall, consistent with shallow, northwesterly upslope flow. These results highlight the finescale precipitation variations that can occur during winter storms in complex terrain and demonstrate the potential for improved analysis and forecasting of precipitation in LCC using a gap-filling radar.

show abstract

Section: Orographic Precipitation Structures During the Prefrontal Stagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Finescale Orographic Precipitation Variability and Gap-Filling Radar Potential in Little Cottonwood Canyon, Utah

Campbell

Steenburgh

2014

Weather and Forecasting

View full text Add to dashboard Cite

show abstract

“…Another possibility would be to place the radar on the mountain top and to use negative elevation angles. In a simulation study, Brown et al (2002) and Wood et al (2003) showed how this approach would result in a much higher detection of precipitation systems at all ranges, Steiner and Smith (2002) to correct for non-meteorological returns was applied. The radar rings centered on the Sterling radar are 50 km apart with no radiation hazard for the population.…”

Section: Beam Blockagementioning

confidence: 99%

Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall

2009

View full text Add to dashboard Cite

It is well acknowledged that there are large uncertainties associated with radarbased estimates of rainfall. Numerous sources of these errors are due to parameter estimation, the observational system and measurement principles, and not fully understood physical processes. Propagation of these uncertainties through all models for which radarrainfall are used as input (e.g., hydrologic models) or as initial conditions (e.g., weather forecasting models) is necessary to enhance the understanding and interpretation of the obtained results. The aim of this paper is to provide an extensive literature review of the principal sources of error affecting single polarization radar-based rainfall estimates. These include radar miscalibration, attenuation, ground clutter and anomalous propagation, beam blockage, variability of the Z-R relation, range degradation, vertical variability of the precipitation system, vertical air motion and precipitation drift, and temporal sampling errors. Finally, the authors report some recent results from empirically-based modeling of the total radar-rainfall uncertainties. The bibliography comprises over 200 peer reviewed journal articles.

show abstract

“…따라서 영동 대설의 정확한 공간 분포를 파 악하기 위해서는 원격탐사 기법중 하나인 레이더 강 수율 추정 기법을 활용할 필요가 있다. 지난 60년 동안 많은 연구자들 (Marshall and Gunn, 1952;Sekhon and Srivastava, 1970;Fujiyoshi et al, 1990;Rasmussen et al, 2003;Wolfe and Snider, 2012) (Brown et al, 2002;Wood et al, 2003;Wolfe and Snider, 2012). 또한 레이더가 낮은 고도에 위치한 경우 산악 지형에 의한 레이더 빔의 차폐로 레이더 관측의 공백지역이 존재한다.…”

Section: 서 론unclassified

A Study on the Radar Reflectivity-Snowfall Rate Relation for Yeongdong Heavy Snowfall Events

Jung¹,

Kwon²,

Park³

et al. 2016

Atmosphere

View full text Add to dashboard Cite

Heavy snowfall events have occurred frequently in the Yeongdong region but understanding of these events have trouble in lack of snowfall observation in this region because it is composed of complex topography like the "Taebaek mountains" and the "East sea". These problems can be solved by quantitative precipitation estimation technique using remote sensing such as radar, satellite, etc. Two radars which are able to cover over Yeondong region were installed at Gangneung (GNG) and Gwangdeoksan (GDK). This study uses radar and water equivalent of snow cover to investigate the characteristics of radar echoes and the Z e -R relations associated with the 10 Yeongdong heavy snowfall events during the last 5 years (2010~2014). It was found that the heights which the probability of detection (POD) of snow detection by GNG radar is more than 80% are 3,000 m and 1,500 m in convective cloud and stratiform cloud, respectively. The vertical gradient of radar reflectivity is less decreased in convective cloud than stratiform cloud. However, POD by GDK radar are lower than 80% at all layers because the majority of Yeondong observational stations are more than 100 km away from GDK radar site. Furthermore, we examined Z e -R relation from the 10 events using GNG radar and compared the "a" and "b" obtained from these examinations at Sokcho (SC) and Daegwallyeong (DG). These "a" and "b" are estimated from radar echo at 500 m (SC) and 1,500 m (DG). The values of "a" differ in their stations such as SC and DG are 30~116 and 6~39, respectively. But "b" is 0.4~1.7 irrespective of stations. Moreover, the value of "a" increased with surface air temperature. Therefore, quantitative precipitation estimation in heavy snowfall events by radar echo using fixed "a" and "b" is difficult because these values changed according to those precipitation characteristics.

show abstract

Improved Detection Using Negative Elevation Angles for Mountaintop WSR-88Ds. Part II: Simulations of the Three Radars Covering Utah

Cited by 23 publications

References 13 publications

Finescale Orographic Precipitation Variability and Gap-Filling Radar Potential in Little Cottonwood Canyon, Utah

Finescale Orographic Precipitation Variability and Gap-Filling Radar Potential in Little Cottonwood Canyon, Utah

Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall

A Study on the Radar Reflectivity-Snowfall Rate Relation for Yeongdong Heavy Snowfall Events

Contact Info

Product

Resources

About