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

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 Characteristics of rainfall events in regional climate model simulations for the Czech Republic

2017 ◽  
Vol 21 (2) ◽  
pp. 963-980 ◽  
Author(s):  
Vojtěch Svoboda ◽  
Martin Hanel ◽  
Petr Máca ◽  
Jan Kyselý
Keyword(s):  
Czech Republic ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Rainfall Event ◽  
Spatial Average ◽  
Total Precipitation ◽  
Rainfall Events ◽  
The Czech Republic ◽  
Simulated Event

Abstract. Characteristics of rainfall events in an ensemble of 23 regional climate model (RCM) simulations are evaluated against observed data in the Czech Republic for the period 1981–2000. Individual rainfall events are identified using the concept of minimum inter-event time (MIT) and only heavy events (15 % of events with the largest event depths) during the warm season (May–September) are considered. Inasmuch as an RCM grid box represents a spatial average, the effects of areal averaging of rainfall data on characteristics of events are investigated using the observed data. Rainfall events from the RCM simulations are then compared to those from the at-site and area-average observations. Simulated number of heavy events and seasonal total precipitation due to heavy events are on average represented relatively well despite the higher spatial variation compared to observations. RCM-simulated event depths are comparable to the area-average observations, while event durations are overestimated and other characteristics related to rainfall intensity are significantly underestimated. The differences between RCM-simulated and at-site observed rainfall event characteristics are in general dominated by the biases of the climate models rather than the areal-averaging effect. Most of the rainfall event characteristics in the majority of the RCM simulations show a similar altitude-dependence pattern as in the observed data. The number of heavy events and seasonal total precipitation due to heavy events increase with altitude, and this dependence is captured better by the RCM simulations with higher spatial resolution.

scholarly journals Extreme Rainfall Projections for Malaysia at the End of 21st Century Using the High Resolution Non-Hydrostatic Regional Climate Model (NHRCM)

SOLA ◽  
2020 ◽  
Vol 16 (0) ◽  
pp. 132-139
Author(s):  
Sheau Tieh Ngai ◽  
Hidetaka Sasaki ◽  
Akihiko Murata ◽  
Masaya Nosaka ◽  
Jing Xiang Chung ◽  
...  
Keyword(s):  
High Resolution ◽  
Regional Climate Model ◽  
21St Century ◽  
Climate Model ◽  
Regional Climate ◽  
Extreme Rainfall

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

Quantifying internal variability in a regional climate model: a case study for Southern Africa

2011 ◽  
Vol 37 (7-8) ◽  
pp. 1335-1356 ◽  
Author(s):  
Julien Crétat ◽  
Clémence Macron ◽  
Benjamin Pohl ◽  
Yves Richard
Keyword(s):  
Regional Climate Model ◽  
Southern Africa ◽  
Climate Model ◽  
Regional Climate ◽  
Internal Variability
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