Numerical case study of an extreme rainfall event during 9–11 December 2004 over the east coast of Peninsular Malaysia

2007 ◽  
Vol 98 (1-2) ◽  
pp. 81-98 ◽  
Author(s):  
L. Juneng ◽  
F. T. Tangang ◽  
C. J. C. Reason
Keyword(s):  
East Coast ◽  
Extreme Rainfall ◽  
Peninsular Malaysia ◽  
Rainfall Event ◽  
Extreme Rainfall Event ◽  
Numerical Case Study

Simulation of an extreme rainfall event over Mumbai using a regional climate model: a case study

2021 ◽  
Vol 134 (1) ◽  
Author(s):  
Manas Pant ◽  
Soumik Ghosh ◽  
Shruti Verma ◽  
Palash Sinha ◽  
R. K. Mall ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event

Influence of tropical-extratropical interactions on the dynamics of extreme rainfall event: A case study from Indian region

2019 ◽  
Vol 85 ◽  
pp. 28-40
Author(s):  
K. Niranjan Kumar ◽  
D.V. Phanikumar ◽  
S. Sharma ◽  
G. Basha ◽  
M. Naja ◽  
...  
Keyword(s):  
Extreme Rainfall ◽  
Rainfall Event ◽  
Indian Region ◽  
Extreme Rainfall Event

WRF high resolution simulation of an extreme rainfall event over Douala (Cameroon): a case study

2017 ◽  
Vol 3 (3) ◽  
pp. 927-942 ◽  
Author(s):  
Roméo S. Tanessong ◽  
Derbetini A. Vondou ◽  
Zéphirin Yepdo Djomou ◽  
P. Moudi Igri
Keyword(s):  
High Resolution ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event ◽  
Resolution Simulation

scholarly journals Landslides Triggered by the May 2017 Extreme Rainfall Event in the East Coast Northeast of Brazil

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1261
Author(s):  
Nikolai S. Espinoza ◽  
Carlos A. C. dos Santos ◽  
Madson T. Silva ◽  
Helber B. Gomes ◽  
Rosaria R. Ferreira ◽  
...  
Keyword(s):  
East Coast ◽  
Climate Model ◽  
Regional Climate ◽  
Daily Rainfall ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Landslide Risk ◽  
Physical Parameters ◽  
Extreme Rainfall Event ◽  
Risk Areas

Given the increasing occurrence of landslides on the East Coast Northeast of Brazil (ECNEB), it is essential to understand its conditions and triggering factors because meteorological anomalies triggered by a landslide will threaten life and property in the region. In this sense, this research aimed to diagnose the meteorological conditions that triggered landslides in the ECNEB in May 2017, evaluate the terrain’s intrinsic conditions using elevation, slope, and susceptibility parameters and determine critical precipitation thresholds for the city with the highest number of landslide risk areas in the region. A dynamic downscaling experiment was carried out using the Regional Climate Model (RegCM) to verify the ability of this model to represent rainfall over the ECNEB. The results from the intrinsic factors showed that the ECNEB is highly susceptible to landslides with various high-risk sectors for landslides to the population. The extreme rainfall event was associated with the convergence of humidity at low levels over the ocean, which contributed to landslides in the ECNEB, mainly in the State of Pernambuco, where 67 landslides were registered. The RegCM numerical simulation underestimated the high daily rainfall signal seen on the Tropical Rainfall Measuring Mission satellite. It is suggested that sensitivity tests can be performed using other physical parameters to find the best model configuration for the ECNEB. This work recommends that exploring the relationship between precipitation and landslides will provide objective criteria for assessing risk areas by contributing to the predictability of disasters in this region.

scholarly journals Improved understanding of an extreme rainfall event at the Himalayan foothills – a case study using COSMO

2015 ◽  
Vol 67 (1) ◽  
pp. 26031 ◽  
Author(s):  
Prabhakar Shrestha ◽  
Ashok Priyadarshan Dimri ◽  
Annika Schomburg ◽  
Clemens Simmer
Keyword(s):  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event ◽  
Himalayan Foothills
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