2015
DOI: 10.5194/angeo-33-671-2015
|View full text |Cite
|
Sign up to set email alerts
|

Observation- and numerical-analysis-based dynamics of the Uttarkashi cloudburst

Abstract: Abstract. A Himalayan cloudburst event, which occurred on 3 August 2012 in the Uttarkashi (30.73 • N, 78.45 • E) region of Uttarakhand, India, was analyzed. The near-surface atmospheric variables were analyzed to study the formation, evolution, and triggering mechanisms of this cloudburst. In order to improve upon the understanding provided by the observations, numerical simulations were performed using the Weather Research and Forecasting (WRF) model, configured with a single domain at 18 km resolution. The … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 25 publications
(6 citation statements)
references
References 25 publications
0
6
0
Order By: Relevance
“…The present study suggests that numerous ground fissures developed across the spur and regional hillslope that are parallel to planar weakness at Sadal village and its vicinity. Recently, various prediction models have been successfully used configuring high spatial resolution that simulated the heavy rainfall event in the Uttarakhand region (Kotal et al, 2014;Chaudhuri et al, 2015;Shrestha et al, 2015;Chevuturi and Dimri, 2016;. Therefore, timely prediction and warning of potentially catastrophic local weather systems over the complex Himalayan terrain are the first and foremost step policy makers can take toward mitigation of landslide risks and minimization of impact.…”
Section: Discussionmentioning
confidence: 99%
“…The present study suggests that numerous ground fissures developed across the spur and regional hillslope that are parallel to planar weakness at Sadal village and its vicinity. Recently, various prediction models have been successfully used configuring high spatial resolution that simulated the heavy rainfall event in the Uttarakhand region (Kotal et al, 2014;Chaudhuri et al, 2015;Shrestha et al, 2015;Chevuturi and Dimri, 2016;. Therefore, timely prediction and warning of potentially catastrophic local weather systems over the complex Himalayan terrain are the first and foremost step policy makers can take toward mitigation of landslide risks and minimization of impact.…”
Section: Discussionmentioning
confidence: 99%
“…Thus a large amount of waterflux occurred within a short period of time. As India Meteorological Department (IMD) considers rainfall intensities over 100 mm h -1 as 'cloudburst', this event could also be classified as one 40,41 . Cloudburst takes place when moist and thermodynamically unstable atmosphere rapidly uplifts along a steep topography (e.g.…”
Section: Seasonal Trends In Run-off and Rainfallmentioning
confidence: 99%
“…The Weather Research and Forecasting (WRF) model [31] is one of the most-used community numerical weather forecast models designed for operational weather forecast and research purposes. It is widely used for operational weather forecast as well as air quality [32][33][34] and hydrometeorological research [35,36], modeling of forest fires [37], prediction of the track and intensity of tropical cyclones [38,39], extreme event analysis over the Himalayan region [8,20,[40][41][42], and climate applications [43]. WRF is also being used operationally by government organizations worldwide [38,[44][45][46], including the India Meteorological Department (IMD), for many applications related to weather and climate.…”
Section: Introductionmentioning
confidence: 99%