IDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022)

Indonesia is located in a tropical region that receives a surplus of solar radiation heat energy, increasing the potential for convective cloud growth. This causes heavy rains to occur frequently in Indonesia. Heavy rains with a long duration can cause flood disasters that cause economic losses, env...

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Main Author: Nabila, Rahmi
Format: Final Project
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/76087
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:76087
spelling id-itb.:760872023-08-10T13:01:43ZIDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022) Nabila, Rahmi Geologi, hidrologi & meteorologi Indonesia Final Project Heavy rain, Weather radar, WRF. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/76087 Indonesia is located in a tropical region that receives a surplus of solar radiation heat energy, increasing the potential for convective cloud growth. This causes heavy rains to occur frequently in Indonesia. Heavy rains with a long duration can cause flood disasters that cause economic losses, environmental damage, and even casualties. One of them is the flood disaster that occurred in Padang City, West Sumatra on June 11, 2022 which caused one person to die, two people were missing, and 34 houses were flooded. Seeing this, it is necessary to conduct research to determine the factors that increase the growth of convective clouds that cause heavy rain in Padang on June 11, 2022, causing flood disasters. In this study, CHIRPS data is used to calculate the maximum rainfall value and GFS data as initial data for the WRF model. WRF model results are used to see the distribution of rainfall and wind direction in Padang City. WRF model results are also used to see the vertical wind speed value. In addition, weather radar data from the class II meteorological station in Padang Pariaman was also used to determine how the process of heavy rain occurred. The process of heavy rainfall is analyzed using reflectivity values obtained from the weather radar CMAX product. The results of this study indicate that the heavy rain that occurred on June 11, 2022 was caused by adiabatic advection lift. Adiabatic advection lift causes air to rise vertically, triggering cloud formation. Cloud growth began to appear at 05:38 UTC and entered the convective initiation phase at 06:38 UTC. Then the clouds grew until they reached the mature phase with the reflectivity value reaching a maximum which occurred at 10:38 UTC. The reflectivity value began to decrease at 11:38 UTC until finally the convective cloud was extinct at 16:08 UTC. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Geologi, hidrologi & meteorologi
spellingShingle Geologi, hidrologi & meteorologi
Nabila, Rahmi
IDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022)
description Indonesia is located in a tropical region that receives a surplus of solar radiation heat energy, increasing the potential for convective cloud growth. This causes heavy rains to occur frequently in Indonesia. Heavy rains with a long duration can cause flood disasters that cause economic losses, environmental damage, and even casualties. One of them is the flood disaster that occurred in Padang City, West Sumatra on June 11, 2022 which caused one person to die, two people were missing, and 34 houses were flooded. Seeing this, it is necessary to conduct research to determine the factors that increase the growth of convective clouds that cause heavy rain in Padang on June 11, 2022, causing flood disasters. In this study, CHIRPS data is used to calculate the maximum rainfall value and GFS data as initial data for the WRF model. WRF model results are used to see the distribution of rainfall and wind direction in Padang City. WRF model results are also used to see the vertical wind speed value. In addition, weather radar data from the class II meteorological station in Padang Pariaman was also used to determine how the process of heavy rain occurred. The process of heavy rainfall is analyzed using reflectivity values obtained from the weather radar CMAX product. The results of this study indicate that the heavy rain that occurred on June 11, 2022 was caused by adiabatic advection lift. Adiabatic advection lift causes air to rise vertically, triggering cloud formation. Cloud growth began to appear at 05:38 UTC and entered the convective initiation phase at 06:38 UTC. Then the clouds grew until they reached the mature phase with the reflectivity value reaching a maximum which occurred at 10:38 UTC. The reflectivity value began to decrease at 11:38 UTC until finally the convective cloud was extinct at 16:08 UTC.
format Final Project
author Nabila, Rahmi
author_facet Nabila, Rahmi
author_sort Nabila, Rahmi
title IDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022)
title_short IDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022)
title_full IDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022)
title_fullStr IDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022)
title_full_unstemmed IDENTIFYING THE CAUSES OF HEAVY RAIN DURING FLOODS USING WRF-ARW MODEL AND DOPPLER WEATHER RADAR IMAGES (CASE STUDY: PADANG, JUNE 11, 2022)
title_sort identifying the causes of heavy rain during floods using wrf-arw model and doppler weather radar images (case study: padang, june 11, 2022)
url https://digilib.itb.ac.id/gdl/view/76087
_version_ 1822994621542694912