The role of monsoon low-level jet in modulating heavy rainfall events

2017 ◽  
Vol 38 ◽  
pp. e569-e576 ◽  
Author(s):  
Anu Xavier ◽  
Ajil Kottayil ◽  
K. Mohanakumar ◽  
Prince K. Xavier
Keyword(s):  
Heavy Rainfall ◽  
Rainfall Events ◽  
Low Level ◽  
Low Level Jet ◽  
Heavy Rainfall Events

scholarly journals Impact of low level jet on heavy rainfall events over Mumbai

MAUSAM ◽  
2021 ◽  
Vol 58 (2) ◽  
pp. 229-240
Author(s):  
VINOD KUMAR ◽  
D. K. U. R. BHAGAT ◽  
M. SATYA KUMAR ◽  
SHIV GANESH
Keyword(s):  
Heavy Rainfall ◽  
Rainfall Events ◽  
Low Level ◽  
Low Level Jet ◽  
Heavy Rainfall Events

scholarly journals Heavy Rainfall Events and Diarrhea Incidence: The Role of Social and Environmental Factors

2013 ◽  
Vol 179 (3) ◽  
pp. 344-352 ◽  
Author(s):  
Elizabeth J. Carlton ◽  
Joseph N. S. Eisenberg ◽  
Jason Goldstick ◽  
William Cevallos ◽  
James Trostle ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Heavy Rainfall ◽  
Rainfall Events ◽  
Diarrhea Incidence ◽  
Heavy Rainfall Events

scholarly journals A Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part I; Societal Impacts, Synoptic Overview, and Historical Context

2021 ◽  
Vol 13 (13) ◽  
pp. 2452
Author(s):  
Douglas Miller ◽  
John Forsythe ◽  
Sheldon Kusselson ◽  
William Straka III ◽  
Jifu Yin ◽  
...  
Keyword(s):  
Heavy Rainfall ◽  
Large Scale ◽  
Appalachian Mountains ◽  
Environmental Stability ◽  
Antecedent Soil Moisture ◽  
Rainfall Events ◽  
Southern Appalachian Mountains ◽  
Low Level ◽  
Southern Appalachian ◽  
Heavy Rainfall Events

Two heavy rainfall events occurring in early 2020 brought flooding, flash flooding, strong winds and tornadoes to the southern Appalachian Mountains. The atmospheric river-influenced events qualified as extreme (top 2.5%) rain events in the archives of two research-grade rain gauge networks located in two different river basins. The earlier event of 5–7 February 2020 was an event of longer duration that caused significant flooding in close proximity to the mountains and had the higher total accumulation observed by the two gauge networks, compared to the later event of 12–13 April 2020. However, its associated downstream flooding response and number of landslides (two) were muted compared to the April event (21). The purpose of this study is to understand differences in the surface response of the two events, primarily by examining the large-scale weather pattern and available space-based observations. Both storms were preceded by anticyclonic Rossby wave breaking events that led to a highly amplified 500 hPa wave during the February storm (a broad continent-wide 500 hPa cyclone during the April storm) in which the accompanying low-level cyclone moved slowly (rapidly). Model analyses and space-based water vapor observations of the two events indicated a deep sub-tropical moisture source during the February storm (converging sub-tropical low-level moisture streams and a dry mid-tropospheric layer during the April storm). Systematic differences of environmental stability were reflected in differences of storm-averaged rain rate intensity, with large-scale atmospheric structures favoring higher intensities during the April storm. Space-based observations of post-storm surface conditions suggested antecedent soil moisture conditioned by rainfall of the February event made the widespread triggering of landslides possible during the higher intensity rains of the April event, a period exceeding the 30 day lag explored in Miller et al. (2019).

scholarly journals An Assessment of the Role of Ice Hydrometeor-Types in WRF Bulk Microphysical Schemes in Simulating Two Heavy Rainfall Events over Southern Nigeria

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 513
Author(s):  
Oluseyi Ezekiel Akinola ◽  
Yan Yin
Keyword(s):  
Water Vapor ◽  
Air Temperature ◽  
Heavy Rainfall ◽  
Simulated Rainfall ◽  
Mass Content ◽  
Rainfall Events ◽  
Ice Particles ◽  
Heavy Rainfall Events ◽  
Better Than

The role of ice hydrometeor-types in bulk schemes available in the Weather Research and Forecasting (WRF) model has been assessed in this study to simulate two heavy rainfall events reported over the southern part of Nigeria. This has been done with a view to provide necessary information on the convective cloud hydrometeor types and compositions in the area to improve heavy rainfall forecasts with the selection of appropriate bulk microphysical schemes. Results from the statistical validation of the simulated rainfall by different schemes showed that for the first event, the WSM5 scheme with less dense snow ice particles performed relatively better than other schemes like WSM6, Morrison with graupel (MORR_G), and Morrison with hail (MORR_H), while the WDM6 scheme performed least effectively when compared to TRMM data. Conversely, the second event showed that a WDM6 scheme with graupel as dense ice particle performed better than other schemes. Further analysis using a spatial distribution plot of simulated rainfall over the area of study shows that for both cases, almost all the schemes fail to capture the intensity and location of the heavy rainfall shown by TRMM data. In addition, the surface accumulated rainfall area average of all schemes for the first (second) event shows an underestimation (overestimation). Vertical profile plots of mass mixing ratios of different ice hydrometeor compositions showed that the WSM5 scheme contains a greater mass of snow than other type ice particles for both cases, while the hydrometeor path calculation of total mass content showed the WSM5 scheme having more snow mass content than other schemes during the period of analysis in both cases. A pressure-time plot of the differences between simulated air temperature and water vapor of the WSM5 scheme showed that WSM5 simulated the higher air temperature that was needed and water vapor at the mid and upper troposphere more than other schemes. In conclusion, results from this study has shown that less dense ice particle (e.g., snow) and high dense ice particle (e.g., graupel and hail) type-bulk schemes can both be suitable for simulating heavy rainfall events that are produced by convective system(s) that are common in the area.

scholarly journals River Vishav Contribution to 2014 Devastating Floods of Kashmir (India)

2019 ◽  
Vol 8 (2) ◽  
pp. 5147-5151
Keyword(s):  
Heavy Rainfall ◽  
Flood Mitigation ◽  
Mitigation Measures ◽  
Kashmir Valley ◽  
Rainfall Events ◽  
The People ◽  
Major Tributary ◽  
Increasing Trends ◽  
Heavy Rainfall Events

Floods cannot be absolutely controlled but can be managed to reduce the losses. The changing climate is a major cause of the increasing trends in the erratic and heavy rainfall events causing floods. The rains those lashed out during the first week of Septemeber-2014 in Kashmir Valley resulting in a devastating flood is one of the examples of such hazards. Many attempts have been made by different agencies and the people to ascertain the cause of this devastating flood. Most of these studies focus on the River Jhelum’s main course and do not pay much attention to the role of its tributaries in the said event. The present study is an attempt to analyse the role of the most hazardous tributary of the River Jhelum, known as Vishav River in the horrible catastrophe. River Vishav is a major tributary of the river Jhelum and contributes to nearly one-fifth of its discharge. On basis of the information collected and the survey conducted after the floods, it is believed that this tributary of river Jhelum played a major role in the 2014- devastating floods. The present study highlights the present status of the river Vishav, its behaviour, its role in 2014 floods and flood mitigation measures in the Vishav basin.

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