語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Using disdrometer, radar, lightning,...
~
Kalina, Evan Anthony.
FindBook
Google Book
Amazon
博客來
Using disdrometer, radar, lightning, and model data to investigate severe thunderstorm microphysics.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Using disdrometer, radar, lightning, and model data to investigate severe thunderstorm microphysics./
作者:
Kalina, Evan Anthony.
面頁冊數:
153 p.
附註:
Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
Contained By:
Dissertation Abstracts International76-10B(E).
標題:
Atmospheric sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3704734
ISBN:
9781321773323
Using disdrometer, radar, lightning, and model data to investigate severe thunderstorm microphysics.
Kalina, Evan Anthony.
Using disdrometer, radar, lightning, and model data to investigate severe thunderstorm microphysics.
- 153 p.
Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
Thesis (Ph.D.)--University of Colorado at Boulder, 2015.
Dual-polarization radar, disdrometer, lightning, and model data are analyzed to determine 1) the usefulness and accuracy of disdrometer and attenuation-corrected X-band mobile radar data from severe thunderstorms, 2) the effect of cloud condensation nuclei (CCN) concentration on idealized supercell thunderstorms, and 3) the synoptic weather, dual-polarization radar, and lightning characteristics of Colorado plowable hailstorms.
ISBN: 9781321773323Subjects--Topical Terms:
3168354
Atmospheric sciences.
Using disdrometer, radar, lightning, and model data to investigate severe thunderstorm microphysics.
LDR
:03255nmm a2200313 4500
001
2066603
005
20151205153417.5
008
170521s2015 ||||||||||||||||| ||eng d
020
$a
9781321773323
035
$a
(MiAaPQ)AAI3704734
035
$a
AAI3704734
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Kalina, Evan Anthony.
$3
3181425
245
1 0
$a
Using disdrometer, radar, lightning, and model data to investigate severe thunderstorm microphysics.
300
$a
153 p.
500
$a
Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
500
$a
Adviser: Katja Friedrich.
502
$a
Thesis (Ph.D.)--University of Colorado at Boulder, 2015.
520
$a
Dual-polarization radar, disdrometer, lightning, and model data are analyzed to determine 1) the usefulness and accuracy of disdrometer and attenuation-corrected X-band mobile radar data from severe thunderstorms, 2) the effect of cloud condensation nuclei (CCN) concentration on idealized supercell thunderstorms, and 3) the synoptic weather, dual-polarization radar, and lightning characteristics of Colorado plowable hailstorms.
520
$a
The results in Chapter 2 demonstrate that the best agreement (1 dB in reflectivity Z and 0.2 dB in differential reflectivity ZDR) between the disdrometer and X-band radar data was obtained when the radar signal quality index (SQI) was at least 0.8 and large hail was not present. Disagreement in Z (ZDR) increased to 6 dB (1.6 dB) and 13 dB (0.6 dB) in large hail and SQI < 0.8, respectively. Since better agreement was obtained under these conditions when the disdrometer measurements were compared to S-band radar data, the X-band attenuation-correction scheme was likely responsible for the disagreement.
520
$a
In Chapter 3, results from idealized supercell thunderstorm simulations in which the CCN concentration was varied from 100-10 000 cm-3 for several different environmental soundings are presented. Changes in the microphysical process rates saturated at CCN ≈ 3000 cm-3. In heavily polluted conditions (CCN = 10 000 cm-3), supercell thunderstorms formed up to 30% larger rain and 3% larger hail particles, produced up to 25 mm more precipitation near the updraft, and tracked more poleward. The area and size of the cold pool were also sensitive to the CCN concentration, especially when the low-level relative humidity was fairly dry (∼60%).
520
$a
Chapter 4 analyzes the synoptic weather, radar, and lightning characteristics from four severe thunderstorms that produced "plowable" hail accumulations of 15-60 cm along the Colorado Front Range. Westerly flow at 500 hPa at slow speeds (5-15 m s-1), combined with moist upslope low-level flow, accompanied each hailstorm. The accumulated hail mass derived from the radar data pinpointed the times and locations of deep hail, with estimated hail depths of greater than 5 cm (less than 1.5 cm) in areas with plowable (non-plowable) hail. An increase in lightning flash rate also preceded deep hail accumulations.
590
$a
School code: 0051.
650
4
$a
Atmospheric sciences.
$3
3168354
650
4
$a
Meteorology.
$3
542822
690
$a
0725
690
$a
0557
710
2
$a
University of Colorado at Boulder.
$b
Atmospheric and Oceanic Sciences.
$3
1677746
773
0
$t
Dissertation Abstracts International
$g
76-10B(E).
790
$a
0051
791
$a
Ph.D.
792
$a
2015
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3704734
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9299471
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入