Nadine Ayasha - Academia.edu (original) (raw)
Papers by Nadine Ayasha
Optika, Dec 15, 2023
Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Mal... more Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Malang menggunakan data reanalisis ERA-5 (relative humidity lapisan 850 dan 700 mb, pola angin lapisan 3000 ft, vertical velocity dan total precipitation) dan data NOAA (Anomali Suhu Permukaan Laut (SPL) dan Outgoing Longwave Radiation (OLR)). Kemudian, data reanalisis tersebut dianalisis secara deskriptif. Hasil penelitian menunjukan bahwa kelembapan udara pada lapisan 850 dan 700 mb basah dan lembap yang berkisar antara 80-95%. Selain itu, pola angin 3000 ft menunjukan bahwa terdapat sirkulasi siklonik dan konvergensi pada pukul 06.00 UTC. Nilai vertical velocity negatif terjadi di 8 kecamatan dan berkisar antara-0.5-(-0.1) Pa/s, dimana hal ini mengindikasikan gerakan massa udara yang bergerak menuju atmosfer. Selanjutnya, anomali SST berkisar antara 0.2-0.6 0 C dan menunjukan adanya peningkatan temperatur dari normalnya. Sementara itu, hasil data OLR berkisar antara 160-170 W/m 2 dan mengindikasikan adanya tutupan awan konvektif yang luas di Malang selama hujan ekstrem terjadi. Seluruh hasil tersebut di atas mendukung pertumbuhan awan konvektif yang menyebabkan terjadinya hujan ekstrem di Malang. Namun, hasil analisis total rainfall tidak mampu untuk menangkap kejadian hujan ekstrem tersebut.
OPTIKA : Jurnal Pendidikan Fisika Vol.7(2), 2023
Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Mal... more Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Malang menggunakan data reanalisis ERA-5 (relative humidity lapisan 850 dan 700 mb, pola angin lapisan 3000 ft, vertical velocity dan total precipitation) dan data NOAA (Anomali Suhu Permukaan Laut (SPL) dan Outgoing Longwave Radiation (OLR)). Kemudian, data reanalisis tersebut dianalisis secara deskriptif. Hasil penelitian menunjukan bahwa kelembapan udara pada lapisan 850 dan 700 mb basah dan lembap yang berkisar antara 80-95%. Selain itu, pola angin 3000 ft menunjukan bahwa terdapat sirkulasi siklonik dan konvergensi pada pukul 06.00 UTC. Nilai vertical velocity negatif terjadi di 8 kecamatan dan berkisar antara-0.5-(-0.1) Pa/s, dimana hal ini mengindikasikan gerakan massa udara yang bergerak menuju atmosfer. Selanjutnya, anomali SST berkisar antara 0.2-0.6 0 C dan menunjukan adanya peningkatan temperatur dari normalnya. Sementara itu, hasil data OLR berkisar antara 160-170 W/m 2 dan mengindikasikan adanya tutupan awan konvektif yang luas di Malang selama hujan ekstrem terjadi. Seluruh hasil tersebut di atas mendukung pertumbuhan awan konvektif yang menyebabkan terjadinya hujan ekstrem di Malang. Namun, hasil analisis total rainfall tidak mampu untuk menangkap kejadian hujan ekstrem tersebut.
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian, 2022
On 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022, extreme rain occured with an i... more On 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022, extreme rain occured with an intensity of 58.85 mm/day, 101.3 mm/day, 124.4 mm/day and 176.8 mm/day respectively in East Kotawaringin. These phenomena occurred during the dry season and caused flooding, which is a rare condition during the dry season in East Kotawaringin. This study aims to evaluate extreme rainfall using GSMaP (Global Satellite Mapping of Precipitation) data, where analysis using GSMaP has never been done before in East Kotawaringin. These GSMaP data were processed and compared with the observation data from the Meteorological Station of H. Asan, East Kotawaringin. After that, the GSMaP rainfall results are verified using statistical methods, namely RMSE, correlation coefficient and bias. The verification results show that the bias gives underestimate results for all dates. In addition, the RMSE values on 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022 are 10.83, 17.32, 12.41 and 34.0...
Seminar Nasional Fisika- Universitas Kristen Indonesia Toraja, 2022
Pada tanggal 23 Agustus 2020, telah terjadi fenomena hujan es pada musim kemarau di Sukabumi sela... more Pada tanggal 23 Agustus 2020, telah terjadi fenomena hujan es pada musim kemarau di Sukabumi selama 30 menit. Pertumbuhan awan penghasil hujan es ini dapat dikaji melalui satelit Himawari-8 dengan memanfaatkan metode RGB (Red, Green, Blue). Pada penelitian ini, hujan es akan diinterpretasikan melalui metode RGB dengan memanfaatkan 3 produk, yaitu produk Day Convective Storm (untuk membedakan awan konvektif dengan awan lainnya), Day Microphysics (untuk proses mikrofisis awan) dan Air Mass (untuk kandungan massa udara) dengan mengkombinasikan beberapa kanal satelit Himawari-8. Penyebab hujan es juga didukung oleh analisis dari anomali Sea Surface Temperature (SST) dan Relative Humidity (RH) lapisan 850-700 mb. Hasil penelitian menunjukan bahwa produk Day Convective Storm dapat menjelaskan pertumbuhan dan perkembangan awan Cb mulai dari fase tumbuh, fase matang dan fase punah. Produk Day Microphysics menunjukan terjadinya proses mikrofisis yang kuat dan produk Air Mass menunjukan bahwa terdapat banyak kandungan massa udara hangat yang berasal dari arah Timur Laut-Timur dan mempengaruhi pertumbuhan awan penghasil hujan es. Selain itu, anomali SST yang bernilai positif dan nilai RH yang basah (75-90%) di lapisan 850-700 mb menunjukan bahwa adanya pengaruh anomali SST yang hangat dan nilai RH yang basah dalam proses pembentukan awan konvektif penyebab hujan es di Sukabumi
IOP Conf. Series: Earth and Environmental Science , 2020
On November 11, 2017, extreme weather in the form of very heavy rain has occurred in Pontianak. B... more On November 11, 2017, extreme weather in the form of very heavy rain has occurred in Pontianak. Based on surface observations data from Supadio Meteorological Station, the amount of rainfall reached 187.4 mm / day and caused flooding in several areas in Pontianak. As a result, a number of flights were cancelled on November 12, 2017 due to flooding in the airport runway. This study aims to examine the causes of very heavy rain using the WRF-ARW model and the results of Himawari-8 satellite images which are processed using Python Programming. Based on the output of the WRF-ARW model with the resolution 3 km, it shows some weather parameters that have potential for bad weather in Pontianak, namely the existence of shear line in West Kalimantan and the eddy circulation in this region which can trigger convective cloud accumulation in Pontianak, the wet RH in the 850-500 mb layer ranges from 70-90%, the CAPE ranges from 1000-2000 J/kg, and the air pressure decreases between 03.00 UTC until 06.00 UTC with a 1.7 mb tendency. In addition, the results of the Himawari-8 Satellite Image show that the cloud peak temperature is very low at-75.8 0 C at 08.33 UTC. Therefore, based on the WRF-ARW and Himawari-8 Satellite results, those support the occurrence of very heavy rain in Pontianak.
Buletin GAW Bariri, Aug 14, 2022
Jurnal Meteorologi dan Geofisika, 2022
On April 27, 2018 heavy rain was occurred in Palangkaraya. Based on surface data observations at ... more On April 27, 2018 heavy rain was occurred in Palangkaraya. Based on surface data observations at Tjilik Riwut Meteorological Station, the peak of rain occurred between 18-21 UTC, which 54 mm within 3 hours. As a result, the flood inundated on the following day. This research purposed to discover the cause of heavy rain used the WRF model of 3DVar technique that assimilated with AMSU-A satellite which used the tropical physic suite parameterization scheme and Himawari-8 Satellite (IR-1 data), processed by Python Programming. Based on the results, the WRF of the 3DVar model is not representative enough in total rainfall results. However, several weather disturbances show the potency for severe weather occurrence from WRF 3DVar modeling. These are indicated by the shear line and eddy circulation at 18 and 21 UTC, and the time series of air pressure decreases with a 0.5 Mb tendency between 15 to 18 UTC. Moreover, the cloud top temperature graph from Himawari-8 Satellite data shows a dra...
International Journal of Remote Sensing and Earth Sciences, 2021
The Himawari-8 satellite can be used to derive precipitation data for rainfall estimation. This s... more The Himawari-8 satellite can be used to derive precipitation data for rainfall estimation. This study aims to test several methods for such estimation employing the Himawari-8 satellite. The methods are compared in three regions with different topographies, namely Bukittinggi, Pontianak and Ambon. The rainfall estimation methods that are tested are auto estimator, IMSRA, non-linear relation and nonlinear inversion approaches. Based on the determination of the statistical verification (RMSE, standard deviation and correlation coefficient) of the amount of rainfall, the best method in Bukittinggi and Pontianak was shown to be IMSRA, while for the Ambon region was the non-linear relations. The best methods from each research area were mapped using the Google Maps Application Programming Interface (API).
Optika, Dec 15, 2023
Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Mal... more Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Malang menggunakan data reanalisis ERA-5 (relative humidity lapisan 850 dan 700 mb, pola angin lapisan 3000 ft, vertical velocity dan total precipitation) dan data NOAA (Anomali Suhu Permukaan Laut (SPL) dan Outgoing Longwave Radiation (OLR)). Kemudian, data reanalisis tersebut dianalisis secara deskriptif. Hasil penelitian menunjukan bahwa kelembapan udara pada lapisan 850 dan 700 mb basah dan lembap yang berkisar antara 80-95%. Selain itu, pola angin 3000 ft menunjukan bahwa terdapat sirkulasi siklonik dan konvergensi pada pukul 06.00 UTC. Nilai vertical velocity negatif terjadi di 8 kecamatan dan berkisar antara-0.5-(-0.1) Pa/s, dimana hal ini mengindikasikan gerakan massa udara yang bergerak menuju atmosfer. Selanjutnya, anomali SST berkisar antara 0.2-0.6 0 C dan menunjukan adanya peningkatan temperatur dari normalnya. Sementara itu, hasil data OLR berkisar antara 160-170 W/m 2 dan mengindikasikan adanya tutupan awan konvektif yang luas di Malang selama hujan ekstrem terjadi. Seluruh hasil tersebut di atas mendukung pertumbuhan awan konvektif yang menyebabkan terjadinya hujan ekstrem di Malang. Namun, hasil analisis total rainfall tidak mampu untuk menangkap kejadian hujan ekstrem tersebut.
OPTIKA : Jurnal Pendidikan Fisika Vol.7(2), 2023
Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Mal... more Penelitian ini bertujuan untuk menganalisis penyebab terjadinya hujan ekstrem yang terjadi di Malang menggunakan data reanalisis ERA-5 (relative humidity lapisan 850 dan 700 mb, pola angin lapisan 3000 ft, vertical velocity dan total precipitation) dan data NOAA (Anomali Suhu Permukaan Laut (SPL) dan Outgoing Longwave Radiation (OLR)). Kemudian, data reanalisis tersebut dianalisis secara deskriptif. Hasil penelitian menunjukan bahwa kelembapan udara pada lapisan 850 dan 700 mb basah dan lembap yang berkisar antara 80-95%. Selain itu, pola angin 3000 ft menunjukan bahwa terdapat sirkulasi siklonik dan konvergensi pada pukul 06.00 UTC. Nilai vertical velocity negatif terjadi di 8 kecamatan dan berkisar antara-0.5-(-0.1) Pa/s, dimana hal ini mengindikasikan gerakan massa udara yang bergerak menuju atmosfer. Selanjutnya, anomali SST berkisar antara 0.2-0.6 0 C dan menunjukan adanya peningkatan temperatur dari normalnya. Sementara itu, hasil data OLR berkisar antara 160-170 W/m 2 dan mengindikasikan adanya tutupan awan konvektif yang luas di Malang selama hujan ekstrem terjadi. Seluruh hasil tersebut di atas mendukung pertumbuhan awan konvektif yang menyebabkan terjadinya hujan ekstrem di Malang. Namun, hasil analisis total rainfall tidak mampu untuk menangkap kejadian hujan ekstrem tersebut.
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian, 2022
On 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022, extreme rain occured with an i... more On 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022, extreme rain occured with an intensity of 58.85 mm/day, 101.3 mm/day, 124.4 mm/day and 176.8 mm/day respectively in East Kotawaringin. These phenomena occurred during the dry season and caused flooding, which is a rare condition during the dry season in East Kotawaringin. This study aims to evaluate extreme rainfall using GSMaP (Global Satellite Mapping of Precipitation) data, where analysis using GSMaP has never been done before in East Kotawaringin. These GSMaP data were processed and compared with the observation data from the Meteorological Station of H. Asan, East Kotawaringin. After that, the GSMaP rainfall results are verified using statistical methods, namely RMSE, correlation coefficient and bias. The verification results show that the bias gives underestimate results for all dates. In addition, the RMSE values on 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022 are 10.83, 17.32, 12.41 and 34.0...
Seminar Nasional Fisika- Universitas Kristen Indonesia Toraja, 2022
Pada tanggal 23 Agustus 2020, telah terjadi fenomena hujan es pada musim kemarau di Sukabumi sela... more Pada tanggal 23 Agustus 2020, telah terjadi fenomena hujan es pada musim kemarau di Sukabumi selama 30 menit. Pertumbuhan awan penghasil hujan es ini dapat dikaji melalui satelit Himawari-8 dengan memanfaatkan metode RGB (Red, Green, Blue). Pada penelitian ini, hujan es akan diinterpretasikan melalui metode RGB dengan memanfaatkan 3 produk, yaitu produk Day Convective Storm (untuk membedakan awan konvektif dengan awan lainnya), Day Microphysics (untuk proses mikrofisis awan) dan Air Mass (untuk kandungan massa udara) dengan mengkombinasikan beberapa kanal satelit Himawari-8. Penyebab hujan es juga didukung oleh analisis dari anomali Sea Surface Temperature (SST) dan Relative Humidity (RH) lapisan 850-700 mb. Hasil penelitian menunjukan bahwa produk Day Convective Storm dapat menjelaskan pertumbuhan dan perkembangan awan Cb mulai dari fase tumbuh, fase matang dan fase punah. Produk Day Microphysics menunjukan terjadinya proses mikrofisis yang kuat dan produk Air Mass menunjukan bahwa terdapat banyak kandungan massa udara hangat yang berasal dari arah Timur Laut-Timur dan mempengaruhi pertumbuhan awan penghasil hujan es. Selain itu, anomali SST yang bernilai positif dan nilai RH yang basah (75-90%) di lapisan 850-700 mb menunjukan bahwa adanya pengaruh anomali SST yang hangat dan nilai RH yang basah dalam proses pembentukan awan konvektif penyebab hujan es di Sukabumi
IOP Conf. Series: Earth and Environmental Science , 2020
On November 11, 2017, extreme weather in the form of very heavy rain has occurred in Pontianak. B... more On November 11, 2017, extreme weather in the form of very heavy rain has occurred in Pontianak. Based on surface observations data from Supadio Meteorological Station, the amount of rainfall reached 187.4 mm / day and caused flooding in several areas in Pontianak. As a result, a number of flights were cancelled on November 12, 2017 due to flooding in the airport runway. This study aims to examine the causes of very heavy rain using the WRF-ARW model and the results of Himawari-8 satellite images which are processed using Python Programming. Based on the output of the WRF-ARW model with the resolution 3 km, it shows some weather parameters that have potential for bad weather in Pontianak, namely the existence of shear line in West Kalimantan and the eddy circulation in this region which can trigger convective cloud accumulation in Pontianak, the wet RH in the 850-500 mb layer ranges from 70-90%, the CAPE ranges from 1000-2000 J/kg, and the air pressure decreases between 03.00 UTC until 06.00 UTC with a 1.7 mb tendency. In addition, the results of the Himawari-8 Satellite Image show that the cloud peak temperature is very low at-75.8 0 C at 08.33 UTC. Therefore, based on the WRF-ARW and Himawari-8 Satellite results, those support the occurrence of very heavy rain in Pontianak.
Buletin GAW Bariri, Aug 14, 2022
Jurnal Meteorologi dan Geofisika, 2022
On April 27, 2018 heavy rain was occurred in Palangkaraya. Based on surface data observations at ... more On April 27, 2018 heavy rain was occurred in Palangkaraya. Based on surface data observations at Tjilik Riwut Meteorological Station, the peak of rain occurred between 18-21 UTC, which 54 mm within 3 hours. As a result, the flood inundated on the following day. This research purposed to discover the cause of heavy rain used the WRF model of 3DVar technique that assimilated with AMSU-A satellite which used the tropical physic suite parameterization scheme and Himawari-8 Satellite (IR-1 data), processed by Python Programming. Based on the results, the WRF of the 3DVar model is not representative enough in total rainfall results. However, several weather disturbances show the potency for severe weather occurrence from WRF 3DVar modeling. These are indicated by the shear line and eddy circulation at 18 and 21 UTC, and the time series of air pressure decreases with a 0.5 Mb tendency between 15 to 18 UTC. Moreover, the cloud top temperature graph from Himawari-8 Satellite data shows a dra...
International Journal of Remote Sensing and Earth Sciences, 2021
The Himawari-8 satellite can be used to derive precipitation data for rainfall estimation. This s... more The Himawari-8 satellite can be used to derive precipitation data for rainfall estimation. This study aims to test several methods for such estimation employing the Himawari-8 satellite. The methods are compared in three regions with different topographies, namely Bukittinggi, Pontianak and Ambon. The rainfall estimation methods that are tested are auto estimator, IMSRA, non-linear relation and nonlinear inversion approaches. Based on the determination of the statistical verification (RMSE, standard deviation and correlation coefficient) of the amount of rainfall, the best method in Bukittinggi and Pontianak was shown to be IMSRA, while for the Ambon region was the non-linear relations. The best methods from each research area were mapped using the Google Maps Application Programming Interface (API).