scholarly journals Detecting Extreme Rainfall Events Using the WRF-ERDS Workflow: The 15 July 2020 Palermo Case Study

Water ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 86
Author(s):  
Paola Mazzoglio ◽  
Andrea Parodi ◽  
Antonio Parodi
Keyword(s):  
Detection System ◽  
Warning System ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Heavy Rainfall Event ◽  
Extreme Rainfall Events ◽  
The City ◽  
Meteorological Models

In this work, we describe the integration of Weather and Research Forecasting (WRF) forecasts produced by CIMA Research Foundation within ITHACA Extreme Rainfall Detection System (ERDS) to increase the forecasting skills of the overall early warning system. The entire workflow is applied to the heavy rainfall event that affected the city of Palermo on 15 July 2020, causing urban flooding due to an exceptional rainfall amount of more than 130 mm recorded in about 2.5 h. This rainfall event was not properly forecasted by meteorological models operational at the time of the event, thus not allowing to issue an adequate alert over that area. The results highlight that the improvement in the quantitative precipitation scenario forecast skills, supported by the adoption of the H2020 LEXIS computing facilities and by the assimilation of in situ observations, allowed the ERDS system to improve the prediction of the peak rainfall depths, thus paving the way to the potential issuing of an alert over the Palermo area.

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 Data analysis reveals that extreme events have increased the flood inundations in the Taquari River´s Valley, southern Brazil

2021 ◽  
Vol 1 (1) ◽  
pp. 16-25
Author(s):  
Francisco Manoel Wohnrath Tognoli ◽  
Sabrina Deconti Bruski ◽  
Thiago Peixoto de Araujo
Keyword(s):  
Extreme Events ◽  
Extreme Rainfall ◽  
Maximum Level ◽  
Data Series ◽  
Rainfall Time Series ◽  
Southern Brazil ◽  
Human Occupation ◽  
Extreme Rainfall Events ◽  
Starting Point ◽  
The City

Flood inundations represent more than 62% of the deaths caused by natural disasters in Brazil. The dataset comprises the records of the Encantado´s pluviometric station, a municipality located beside the margin of the Taquari River in southern Brazil, which comprises the rainfall time series (n = 36,466) over 78 years, from April 1943 to December 2020. Complementary datasets also include the annual volume of precipitation per year and the level reached by the Taquari River during 44 flood inundations since 1941. The number of events is subsampled because only 32 years have the complete record of the river level. Three of the five major flood inundations at Encantado occurred after 2001, and the more severe flood recorded the maximum level of the Taquari River (20,27 meters) on July 8th, 2020. Thirty-four percent of all flood inundations in the city were recorded between 2011 and 2020. The months of July to October record 70% of all the events, but there is no record of floods in February and December throughout the data series. The human occupation of the floodplain has been fast in the last decades, and most of the urban area has a potential risk of being affected by flood inundations. Moreover, extreme rainfall events and flood events have been more frequent in the last 30 years. This database can contribute as a starting point for developing predictive models and verifying a possible correlation of floods with extreme events and global climatic changes.

Simulation of a heavy rainfall event during southwest monsoon using high-resolution NCUM-modeling system: a case study

2018 ◽  
Vol 131 (4) ◽  
pp. 1035-1054 ◽  
Author(s):  
Devajyoti Dutta ◽  
A. Routray ◽  
D. Preveen Kumar ◽  
John P. George ◽  
Vivek Singh
Keyword(s):  
High Resolution ◽  
Heavy Rainfall ◽  
Southwest Monsoon ◽  
Rainfall Event ◽  
Heavy Rainfall Event ◽  
System A

scholarly journals Improving an Extreme Rainfall Detection System with GPM IMERG data

2019 ◽  
Vol 11 (6) ◽  
pp. 677 ◽  
Author(s):  
Paola Mazzoglio ◽  
Francesco Laio ◽  
Simone Balbo ◽  
Piero Boccardo ◽  
Franca Disabato
Keyword(s):  
Detection System ◽  
Extreme Rainfall ◽  
Rain Gauge ◽  
Probability Of Detection ◽  
Mean Annual Precipitation ◽  
Extreme Rainfall Events ◽  
Rainfall Events ◽  
Time Aggregation ◽  
Spatial Coverage ◽  
Rainfall Detection

Many studies have shown a growing trend in terms of frequency and severity of extreme events. As never before, having tools capable to monitor the amount of rain that reaches the Earth’s surface has become a key point for the identification of areas potentially affected by floods. In order to guarantee an almost global spatial coverage, NASA Global Precipitation Measurement (GPM) IMERG products proved to be the most appropriate source of information for precipitation retrievement by satellite. This study is aimed at defining the IMERG accuracy in representing extreme rainfall events for varying time aggregation intervals. This is performed by comparing the IMERG data with the rain gauge ones. The outcomes demonstrate that precipitation satellite data guarantee good results when the rainfall aggregation interval is equal to or greater than 12 h. More specifically, a 24-h aggregation interval ensures a probability of detection (defined as the number of hits divided by the total number of observed events) greater than 80%. The outcomes of this analysis supported the development of the updated version of the ITHACA Extreme Rainfall Detection System (ERDS: erds.ithacaweb.org). This system is now able to provide near real-time alerts about extreme rainfall events using a threshold methodology based on the mean annual precipitation.

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 PENGEMBANGAN METODE ANALISIS RISIKO BENCANA: SEBUAH STUDI KASUS PULAU LOMBOK

2018 ◽  
Author(s):  
Syamsuddin
Keyword(s):  
Risk Index ◽  
Input Parameter ◽  
Hazard Index ◽  
Warning System ◽  
Disaster Mitigation ◽  
Hazard Risk ◽  
Input Parameters ◽  
A Site ◽  
The City

Earthquakes often cause fatalities to human being. Unfortunately, the event of earthquakes cannot be forecasted. But, the hazard risk due to these earthquakes could be reduced if the geological, seismic and physical surface conditions are known. This reduction plays an important role in disaster mitigation. This paper discusses the development of a method for hazard risk analysis due to earthquakes. The development is based on the input parameters of the hazard and vulnerability components of a site being investigated. Each parameter is then rated, so the total rating of hazard and vulnerability input parameters is obtained. The comparison between the applied rating and the total rating of hazard and vulnerability input parameters results in an index of each input parameter, consecutively. Thus, the multiplication of indexes, (hazard and vulnerability), results in a hazard risk index. Based on the proposed hazard index, a case study in the city of Mataram of Lombok Island has been conducted. The result shows that the city of Mataram has a medium hazard risk index. This means that if an earthquake occurs in the city of Mataram, a medium scale of fatalities may be experienced by the city. However, this index should be considered as an early warning system in disaster mitigation. So, the real condition of the city should be evaluated in order to increase the degree of preparedness due to the event of earthquakes that could occur at any time.

scholarly journals Evaluation of Rainfall-Triggered Debris Flows under the Impact of Extreme Events: A Chenyulan Watershed Case Study, Taiwan

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2201
Author(s):  
Jinn-Chyi Chen ◽  
Wen-Shun Huang
Keyword(s):  
Debris Flow ◽  
Extreme Events ◽  
Debris Flows ◽  
Extreme Rainfall ◽  
Extreme Rainfall Event ◽  
Extreme Rainfall Events ◽  
Hourly Rainfall ◽  
Central Taiwan ◽  
The Impact

This study examined the conditions that lead to debris flows, and their association with the rainfall return period (T) and the probability of debris flow occurrence (P) in the Chenyulan watershed, central Taiwan. Several extreme events have occurred in the Chenyulan watershed in the past, including the Chi-Chi earthquake and extreme rainfall events. The T for three rainfall indexes (i.e., the maximum hourly rainfall depth (Im), the maximum 24-h rainfall amount (Rd), and RI (RI = Im× Rd)) were analyzed, and the T associated with the triggering of debris flows is presented. The P–T relationship can be determined using three indexes, Im, Rd, and RI; how it is affected and unaffected by extreme events was developed. Models for evaluating P using the three rainfall indexes were proposed and used to evaluate P between 2009 and 2020 (i.e., after the extreme rainfall event of Typhoon Morakot in 2009). The results of this study showed that the P‒T relationship, using the RI or Rd index, was reasonable for predicting the probability of debris flow occurrence.

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