The efficacy of using gridded data to examine extreme rainfall characteristics: a case study for Australia

2012 ◽  
Vol 33 (10) ◽  
pp. 2376-2387 ◽  
Author(s):  
Andrew D. King ◽  
Lisa V. Alexander ◽  
Markus G. Donat
2015 ◽  
Vol 61 (2) ◽  
pp. 321-343 ◽  
Author(s):  
M. Beyer ◽  
M. Wallner ◽  
L. Bahlmann ◽  
V. Thiemig ◽  
J. Dietrich ◽  
...  

2021 ◽  
Vol 134 (1) ◽  
Author(s):  
Manas Pant ◽  
Soumik Ghosh ◽  
Shruti Verma ◽  
Palash Sinha ◽  
R. K. Mall ◽  
...  

2021 ◽  
Vol 893 (1) ◽  
pp. 012017
Author(s):  
I D G A Putra ◽  
A Sopaheluwakan ◽  
B P Adi ◽  
K A Sudama ◽  
J Rizal ◽  
...  

Abstract Heavy rains on February 24, 2020, caused flooding in most parts of Jakarta and its surroundings. The one-day observation of accumulated rainfall from the Laser Precipitation Monitor (LPM) was recorded at 358.6 mm/day at the Kemayoran station on February 25, 2020, at 00.00 UTC (07.00 Jakarta Time). In this study, analysis of the microphysical characteristics of extreme rainfall using LPM installed at Kemayoran meteorology station and weather radar at Cengkareng meteorology station with a spatial radius of 250 km. LPM is used to measure the diameter of the raindrops, the velocity of falling raindrops, LPM reflectivity, and the amount of accumulated rainfall with time resolution per minute and stored in excel data format. While the weather radar is used to measure the reflectivity spatially and temporally in the data volume format (.vol). The method used is, first, to find the relationship between LPM reflectivity and the amount of LPM rainfall with regression analysis. Second, the radar reflectivity is converted into estimated rainfall intensity for the Jakarta area and its surroundings. The results of this study found a relationship between LPM reflectivity (X) and rainfall accumulation LPM (Y) to form a regression relationship with the formula Y = 0.013X with R2 = 0.3777. Based on the record of the LPM time series, the peak of rainfall occurred at 18.17 UTC with 1000 raindrops, the maximum fall speed was 10 m/s, and the maximum diameter is 8.5 millimeters. Based on the results of microphysical measurements of LPM, spatial plots, and vertical cross-section radar, it can be concluded that flooding in Jakarta is due to heavy rain from convective clouds.


2014 ◽  
Vol 711 ◽  
pp. 388-391
Author(s):  
Ji Wei Xu ◽  
Ming Dong Zhang ◽  
Mao Sheng Zhang

On July 9 2013, debris flows occurred around Longchi town with large scale and wide harm, which was a great threat to people's life and property as well as reconstruction work. Debris flow ditch in the surrounding town was studied. This paper focused on loose materials, topography and rainfall characteristics, and explored the formation mechanism of debris flow in Longchi town. The result shows that: a small catchment area in valleys also have the risk of large range of accumulation of debris flow, the debris flow is caused by a lot of loose materials in mountains after earthquake and extreme rainfall. Research results contribute to a better understanding of trigger condition of debris flow after earthquake.


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

2019 ◽  
Vol 14 (4) ◽  
pp. 044033 ◽  
Author(s):  
Savitri Kumari ◽  
Karsten Haustein ◽  
Hammad Javid ◽  
Chad Burton ◽  
Myles R Allen ◽  
...  

2017 ◽  
Vol 3 (3) ◽  
pp. 927-942 ◽  
Author(s):  
Roméo S. Tanessong ◽  
Derbetini A. Vondou ◽  
Zéphirin Yepdo Djomou ◽  
P. Moudi Igri

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