Brief Communication: Climatic, meteorological and topographical causes of the 16–17 June 2013 Kedarnath (India) natural disaster event

Singh, Rajesh; Siingh, Devendraa; Gokani, Sneha A.; Sreeush, M. G.; Buchunde, P.; Maurya, Amit Kumar; Singh, R. P.; Singh, Ashok K.

doi:10.5194/nhess-15-1597-2015

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Thus, a better understanding of small-scale near-surface atmospheric physical phenomena occurring within the lowest part of the atmospheric boundary layer and surface-atmosphere interaction through energy fluxes (turbulent and radiative) is becoming crucial. In some cases, a particular weather system developed over a few days or even hours could be one of the possible precursors of an extreme event and could result in a sequence of hazards such as flash floods [8,20,21] and landslides [5,[22][23][24][25]. While the human and infrastructural losses caused by extreme weather and climate events depends upon a complex combination of sequential events, vulnerability, and exposure [26], timely forecast of these events or at least identification of possible precursors is crucial for the carrying out of disaster mitigation and management processes by disaster management authorities.…”

Section: Introductionmentioning

confidence: 99%

7 February Chamoli (Uttarakhand, India) Rock-Ice Avalanche Disaster: Model-Simulated Prevailing Meteorological Conditions

2022

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The present study aims to analyze the high-resolution model-simulated meteorological conditions during the Chamoli rock-ice avalanche event, which occurred on 7 February 2021 in the Chamoli district of Uttarakhand, India (30.37° N, 79.73° E). The Weather Research and Forecasting (WRF) model is used to simulate the spatiotemporal distribution of meteorological variables pre- and post-event. The numerical simulations are carried out over two fine resolution nested model domains covering the Uttarakhand region over a period of 2 weeks (2 February to 13 February 2021). The model-simulated meteorological variables, e.g., air temperature, surface temperature, turbulent heat flux, radiative fluxes, heat and momentum transfer coefficients, specific humidity and upper wind patterns, were found to show significant departures from their usual patterns starting from 72 h until a few hours before the rock-ice avalanche event. The average 2 m air and surface temperatures near the avalanche site during the 48 h before the event were found to be much lower than the average temperatures post-event. In-situ observations and the ERA5-Land dataset also confirm these findings. The total turbulent heat flux mostly remained downward (negative) in the 72 h before the event and was found to have an exceptionally large negative value a few hours before the rock-ice avalanche event. The model-simulated rainfall and Global Precipitation Measurement (GPM, IMERG)-derived rainfall suggest that the part of the Himalayan region falling in the simulation domain received a significant amount of rainfall on 4 February, around 48 h prior to the event, while the rest of the days pre- and post-event were mostly dry. The results presented here might be helpful in further studies to identify the possible trigger factors of this event.

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Section: Introductionmentioning

confidence: 99%

7 February Chamoli (Uttarakhand, India) Rock-Ice Avalanche Disaster: Model-Simulated Prevailing Meteorological Conditions

2022

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“…The discharges in thunderstorms could be cloud-to-ground (CG), inter cloud, intra-cloud and from cloud top upwards and the activity is related to the stage of convective cloud development (Vonnegut et al, 1963), cloud top height (Price and Rind, 1992), the updraft intensity (Williams, 1992), convective available potential energy (CAPE) Siingh et al, 2013aSiingh et al, , 2014Siingh et al, , 2015, rainfall rate (Tapia et al, 1998;Soula et al, 2009;Singh et al, 2015;Siingh et al, 2014Siingh et al, , 2015 and surface air temperature (Price, 1993;Singh et al, 2015;Siingh et al, 2013aSiingh et al, , 2014Siingh et al, , 2015. The spatial and temporal distributions of lightning flashes around the globe have been studied using ground and satellite based measurements (Christian et al, 2003;Bailey et al, 2007;Mach et al, 2011;Cecil et al, 2014).…”

Section: Introductionmentioning

confidence: 99%