Raindrop Size Distribution and Rain Characteristics during the 2013 Great Colorado Flood

被引:36
|
作者
Friedrich, Katja [1 ]
Kalina, Evan A. [1 ]
Aikins, Joshua [1 ]
Steiner, Matthias [2 ]
Gochis, David [2 ]
Kucera, Paul A. [2 ]
Ikeda, Kyoko [2 ]
Sun, Juanzhen [2 ]
机构
[1] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA
[2] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
基金
美国国家科学基金会;
关键词
RADAR OBSERVATIONS; OROGRAPHIC PRECIPITATION; MICROPHYSICAL RETRIEVAL; OPTICAL DISDROMETER; SCALE DEPENDENCE; CLOUD MODEL; X-BAND; REFLECTIVITY; VARIABILITY; MESOSCALE;
D O I
10.1175/JHM-D-14-0184.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Drop size distributions observed by four Particle Size Velocity (PARSIVEL) disdrometers during the 2013 Great Colorado Flood are used to diagnose rain characteristics during intensive rainfall episodes. The analysis focuses on 30 h of intense rainfall in the vicinity of Boulder, Colorado, from 2200 UTC 11 September to 0400 UTC 13 September 2013. Rainfall rates R, median volume diameters D-0, reflectivity Z, drop size distributions (DSDs), and gamma DSD parameters were derived and compared between the foothills and adjacent plains locations. Rainfall throughout the entire event was characterized by a large number of small- to medium-sized raindrops (diameters smaller than 1.5 mm) resulting in small values of Z (<40 dBZ), differential reflectivity Z(dr) (<1.3 dB), specific differential phase K-dp (<1 degrees km(-1)), and D-0 (<1 mm). In addition, high liquid water content was present throughout the entire event. Raindrops observed in the plains were generally larger than those in the foothills. DSDs observed in the foothills were characterized by a large concentration of small-sized drops (d < 1 mm). Heavy rainfall rates with slightly larger drops were observed during the first intense rainfall episode (0000-0800 UTC 12 September) and were associated with areas of enhanced low-level convergence and vertical velocity according to the wind fields derived from the Variational Doppler Radar Analysis System. The disdrometer-derived Z-R relationships reflect how unusual the DSDs were during the 2013 Great Colorado Flood. As a result, Z-R relations commonly used by the operational NEXRAD strongly underestimated rainfall rates by up to 43%.
引用
收藏
页码:53 / 72
页数:20
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