Garuda - Garba Rujukan Digital

ANALISIS PENGARUH MADDEN JULIAN OSCILLATION TERHADAP PROPAGASI DAN DISTRIBUSI TEMPORAL HUJAN BERDASARKAN PENGAMATAN CITRA SATELIT DI WILAYAH BENGKULU TAHUN 2018 Rizky Umul Nisa Fadillah; Yosafat Donni Haryanto; Nelly Florida Riama
Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 1 (2020): Jurnal Meteorologi Klimatologi dan Geofisika
Publisher : Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36754/jmkg.v7i1.211

Madden Julian Oscillation (MJO) is a phase that produces variations in several parameters of the atmosphere and oceans which is indicated by the increase of rainfall in the area it passes through. Bengkulu region is the closest area to the initial area of the formation of the MJO. This study aims to determine the value of the connectivity as well as the propagation and temporal distribution of rain in the Bengkulu region during the active MJO period in phase 3 to phase 5 based on satellite imagery observations as well as the increase and decrease in rainfall in the Bengkulu region. Based on the descriptive analysis, it shows a weak convective state at 00 UTC and a strong convective at 12 UTC accompanied by rainfall propagation which is seen in phase 3 moving from west to east with changes in rainfall intensity at each active MJO phase from the Fatmawati Class III Meteorological Station Bengkulu, Bengkulu Class I Climatology Station and Kepahiang Bengkulu Class III Geophysical Station. From the observed phase period, the rainfall propagation pattern was seen in phase 3 and was followed by an increase in rainfall intensity, while in phases 4 and 5 there was a decrease in rainfall intensity that occurred in the Bengkulu region. MJO also has an effect on the increase in rainfall in the land area and waters of Bengkulu in phase 3 and phase 4. In phase 5 the decrease in rainfall occurs in the mainland area of â€‹â€‹Bengkulu while the increase in rainfall occurs in Bengkulu waters

Pemanfaatan Satelit Himawari-8 Untuk Estimasi Curah Hujan Dengan Metode Convective Stratiform Technique (CST) Dan Modified Convective Stratiform Technique (Mcst) Di Wilayah Ekuatorial Dan Monsunal (Studi Kasus Sulawesi 2020): Pemanfaatan Satelit Himawari-8 Untuk Estimasi Curah Hujan Dengan Metode Convective Stratiform Technique (CST) Dan Modified Convective Stratiform Technique (Mcst) Di Wilayah Ekuatorial Dan Monsunal (Studi Kasus Sulawesi 2020) Muzaki, Nur Habib; Eriska Febriati; Yosafat Donni Haryanto
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 14 No 2 (2021): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya

Curah hujan merupakan salah satu parameter cuaca yang sangat penting bagi kehidupan. Informasi data curah hujan mampu menunjukan pola tipe curah hujan si suatu wilayah. Kurangnya rapat persebaran alat pengamatan curah hujan menyebabkan cakupan wilayah menjadi sempit. Oleh karena itu, pemanfaatan metode estimasi curah hujan dengan menggunakan data satelit merupakan salah satu solusi untuk mendapatkan data curah hujan di wilayah yang tidak memiliki alat pengamatan curah hujan. Dalam penelitian ini, estimasi curah menggunakan data satelit Himawari-8 dengan menggunakan metode Convective Startiform Technique (CST) dan Modified Convective Startiform Technique (mCST). Metode CST meruapakan metode yang memisahkan komponen awan konvektif dan stratiform, sedangkan metode mCST merupakan metode modifikasi intensitas curah hujan serta luasan area rata-rata yang dilingkupi piksel terhadap metode CST. Penelitian ini dilakukan di wilayah tipe hujan ekuatorial yang diwakili oleh Kabupaten Luwu Utara dan wilayah tipe hujan monsunal yang diwakili oleh Kota Makassar. Penelitian ini dilakukan selama satu tahu dengan mengambil sampel bulan puncak curah hujan di kedua wilayah. Tujuan penelitian ini adalah untuk membandingkan kualitas hasil estimasi curah hujan dengan menggunakan metode CST dan metode mCST Berdasarkan hasil estimasi curah hujan, metode CST menghasilkan nilai yang lebih baik dibandingkan dengan metode mCST di kedua wilayah yang ditandai dengan nilai korelasi yang lebih baik. Nilai eror RMSE berkisar 33.80 mm/jam hingga 42.66 mm/jam dan Nilai MAE berkisar 26.30 mm/jam hingga 34.55 mm/jam. Berdasarkan penelitian ini, kedua metode estimasi curah hujan ini, kurang mampu mempresentasikan data curah hujan di kedua wilayah.

ANALISIS MONSUN DI LAUT JAWA Yosafat Donni Haryanto; Rezfiko Agdialta; Agus Hartoko
Berkala Perikanan Terubuk Vol 48, No 2 (2020): Juli 2020
Publisher : Fakultas Perikanan dan Kelautan, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/terubuk.48.2.492-500

Monsoon is one of the important atmospheric circulations of the global climate system, monsoon activity has a major influence on weather formation in the region in its path. Monsoon activity is often associated with the presence of synoptic disorders in the area in its path. Synoptic disorders involving the movement of rain slowed throughout the monsoon region. The monsoon pits on an annual cycle related to climate when dry and wet. During the dry season, winters occur on various continents with a mass of air in the atmosphere which results in cold and dry, while when it is wet, it affects the summer with moist air. The Java Sea is an area of 310,000 Km2 which is located only 220 miles from the island of Borneo and the north coast of Java covers the archipelago. The geographical position of the Java Sea is in the area where the interaction is occurring - the atmosphere in the Java Sea is becoming more dynamic. Research Objectives to analyze the influence of rainfall in the Java Sea spatially and temporally. The data used are wind re-analysis of zone and meridional data (ftp.cdc.noaa.gov/ Data set /) from 1986 to 2017, for rainfall data at Tegal, Semarang and Surabaya Meteorological Stations 1986-2017. Spatial and temporal monsoon wind patterns are more dominant and beneficial to the variability of rainfall in the Java Sea. This condition can be seen in the type of monsoonal rain letter U or V with one peak of rain in December January and February (DJF) with the beginning of the rainy season in December in June July August (JJA) peak of the dry season and dry season beginning in June.

Analisis kondisi cuaca saat terjadi Siklon Tropis Paddy di wilayah Pulau Jawa (studi kasus: 22-24 November 2021) Naufal Dhiya Ulhaq; Yosafat Donni Haryanto
Jurnal Penelitian Sains Vol 24, No 1 (2022)
Publisher : Faculty of Mathtmatics and Natural Sciences

Kejadian Siklon Tropis Paddy terjadi pada tanggal 22-24 November 2021 yang terjadi di Perairan Selatan Jawa yang mengakibatkan perubahan kondisi cuaca di sekitar wilayah Perairan Selatan Jawa Khususnya Pulau Jawa. Perubahan kondisi cuaca tersebut dapat megakibatkan terjadi hujan lebat, angin kencang, dan kondis cuaca lain pada wilayah Pulau Jawa. Maka, dilakukan pengamatan kondisi cuaca dari adanya Siklon Tropis Paddy untuk mengetahui dampak kondisi cuaca pada wilayah Pulau Jawa. Pengamatan satelit Himawari-8 yang hasilnya terdapat awan konvektif pada waktu 22-24 November 2021 yang mengakibatkan perubahan kondisi cuaca. Pengamatan dengan data ECMWF menghasilkan perubahan angin, suhu permukaan , tekanan permukaan , dan total presipitasi pada wilayah Pulau Jawa.Maka, dapat dilakukan pengamatan analisis kondisi cauca di wilayah Pulau Jawa

Visualization of Aerological Diagram and Analysis of Atmospheric Sounding Information Using Raob with Model Data During Low Visibility Conditions at Cengkareng Meteorological Station Bagus Primohadi Syahputra; Muhammad Yusuf; Yosafat Donni Haryanto; Nelly Florida
International Conference on Multidisciplinary Research Vol 5, No 2 (2022): ICMR
Publisher : Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/pic-mr.v5i2.5420

The limitations of in-situ observations of the upper air are one of the obstacles in analyzing the weather. The use of data models can be one solution. The purpose of this study was to determine the accuracy of the data model in providing upper air information using RAOB as a visualization tool for aerological diagrams and sounding information analyzers. The data used are radiosonde observation data from the Cengkareng meteorological station and 1000 – 100 mb ECMWF pressure level models at the same location as the in-situ observations. The time chosen is when the haze and mist occur at the observation time 00 UTC for 5 events each. The method used is pearson correlation and simple visual verification. The results obtained that the correlation of the significant point plot data diagram when the mist occurs is 0.76 and when the haze occurs is 0.67 and visually as a whole show that the model data is quite close to the observation data. Correlation of 59 sounding information as a whole produces a value of 0.85 – 0.99 when the Mist occurs and a value of 0.89 – 0.99 when the Haze occurs. It is hoped that these results can be used as a consideration for the use of data models in filling in the gaps in radiosonde observation data. Keywords: Sounding Information, RAOB, Radiosonde, ECMWF Models

Analisis Kondisi Atmosfer Saat Kejadian Hujan Es (Studi Kasus: Kejadian Hujan Es Tanggal 29 November 2023 di Kabupaten Timor Tengah Selatan) Maulidianto; Tempo, Neil Farel Rindra; Yosafat Donni Haryanto
JFT : Jurnal Fisika dan Terapannya Vol 11 No 1 (2024): JUNI
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i1.45152

Hail is an extreme weather phenomenon that rarely occurs in Indonesia. On November 26, 2023, there was heavy rain accompanied by hail in the Kapan area, South Central Timor Regency, East Nusa Tenggara at around 13:30 WITA. Further research on extreme events is needed to anticipate future extreme weather events. This study aims to analyze atmospheric conditions when hail occurs in the Kapan area on November 26, 2023. Research methods include analysis of field observation data, ECMWF ERA5 numerical modeling data, and Himawari-9 weather satellite image data. Based on observational data, hail occurs under unstable atmospheric conditions, such as a significant decrease in surface temperature, high humidity, and a significant decrease in atmospheric pressure before the event. Analysis of the vertical profile of the atmosphere based on model data showed that divergence, vertical velocity and relative humidity favored the formation of convective clouds. Satellite images showed that the temperature at the top of the cumulonimbus clouds during the ice storm was very low (-75.8°C). In addition, convective cloud cover (CCO) analysis confirmed the presence of cumulonimbus clouds covering the Kapan region during the hail period. All three methods can well describe the atmospheric conditions during hail events, these results are expected to provide insight into the atmospheric factors that contribute to the occurrence of hail in tropical regions such as Indonesia and can be used to better understand and mitigate the negative impacts of these extreme weather events.

Studi Karakteristik Sesar Bawean (Wilayah Laut Utara Jawa) menggunakan Analisis Turunan dengan Data Gaya Berat Daffa Andhika Pramadhana; Shelya Trya Rinanda; Yosafat Donni Haryanto
SOSIAL : Jurnal Ilmiah Pendidikan IPS Vol 3 No 1 (2025): SOSIAL: Jurnal Ilmiah Pendidikan IPS
Publisher : Asosiasi Peneliti Dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/sosial.v3i1.587

The Bawean fault is one of the faults that needs to be watched out for because it is located in the north of Madura Island, which has a population of up to millions of people. One of the mitigation measure that can be taken is the mapping of Bawean Fault to determine characteristics of Bawean Fault. In this research, Bawean Fault mapping was conducted using derivative analysis with gravity data from TOPEX website in the form of FAA (Free Air Anomaly) data. That data, then processed to obtain FHD (First Horizontal Derivative) to determine suspected fault line and SVD (Second Vertical Derivative) value to determine fault mechanism. The steps to obtaining the FHD ((First Horizontal Derivative) value and SVD (Second Vertical Derivative) value are determining the average density using Nettleton method separating regional and residual anomalies using the moving average method, processing regional anomalies with derivative analysis until the FHD (First Horizontal Derivative) and SVD (Second Vertical Derivative) maps are obtained. An cross section was then made on the suspected fault line to determine the exact fault line and fault mechanism. The results obtained from the FHD (First Horizontal Derivative) and SVD (Second Vertical Derivative) map incisions show that the Bawean Fault has a mechanism of thrust fault. However, by considering various sources, it can be concluded that the Bawean Fault has an oblique fault mechanism with the influence of a thrust mechanism.

Analisis Dinamika Atmosfer Kejadian Hujan Lebat Di Surabaya 30 Maret 2023 Cekarus, Joseph Damian; Muhammad Ariel Taufik Muharram; Yosafat Donni Haryanto
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 10 No. 1 (2025): Maret
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v10i1.9733

On March 30, there was heavy rain with an intensity of 25 mm/hour. Heavy rains are caused by cumulonimbus convective cloud activity. This cloud activity can be analyzed by utilizing Himawari-8 satellite remote sensing with RGB, CCO, and using the upper air observation method with radiosonde at 00 UTC in the Surabaya area. The purpose of this research is to identify heavy rain in some areas of Surabaya according to some news in the area. The results of observations from the RGB method occurred cloud conditions resulting in high heavy rain. The observation results of the CCO method occurred convective clouds at the time of the heavy rain event with high intensity. The results of observations of upper air observations with radiosonde at 00 UTC showed an atmospheric stability index indicating a chance of extreme weather in the Surabaya area. In addition, based on ECMWF Copernicus reanalysis data, there is a warm and humid airflow from the Java Sea to the mainland which causes cloud formation and heavy rain. In addition, a negative value of divergence is obtained and the humidity value reaches 80%. This shows that the analysis using the RGB method, CCO, radiosonde data, and Copernicus ECMWF reanalysis data are compatible and support each other.

Analisis Dinamika Atmosfer Kejadian Banjir Di Bali (Studi Kasus: Kuta, Badung 3 April 2024) Cekarus, Joseph Damian; Jerremy Mezac Sopacua; Yosafat Donni Haryanto
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 10 No. 1 (2025): Maret
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v10i1.10493

Very heavy rain that causes flooding has an intensity of up to 129 mm/hour in Kuta District, Badung Regency on April 03, 2024 caused by cumulonimbus convective cloud activity. This cloud activity can be analyzed by utilizing Himawari-8 satellite remote sensing with NWP and RGB methods processed with the SATAID application. This study aims to identify very heavy rain in the Kuta District area of Badung Regency which resulted in flooding. This research is an analytical descriptive research that uses secondary data from Himawari-8 satellite remote sensing results, flight documentation analysis, and atmospheric lability index data. The methods used include Numerical Weather Prediction (NWP) and Red-Green-Blue (RGB) analysis to support the identification of extreme weather phenomena. The results of the flight documentation show that there is a lowpressure pattern in the southeast region of Bali and wind turns in the Bali region and convergence in the South Bali sea. Clouds began to form at 21:20 UTC and began to cover and reached its peak at 21:50 UTC. High rainfall conditions are caused by the formation of convective clouds and evenly distributed clouds. With the RGB method, high and thick cumulonimbus clouds were observed. Based on atmospheric lability index data, namely K Index (KI), Lifted Index (LI), Total-totals Index (TTI), Severe Weather Threat Index (SWEAT), and Convective Available Potential Energy Index (CAPE), the value is quite supportive when the very heavy rain occurs. This shows that the analysis using the NWP method, RGB method, and some flight documentation data have compatibility and support each other.

Analisis Dinamika Atmosfer Kejadian Hujan Lebat Di Surabaya 30 Maret 2023 Cekarus, Joseph Damian; Muhammad Ariel Taufik Muharram; Yosafat Donni Haryanto
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 10 No. 1 (2025): Maret
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v10i1.9733

On March 30, there was heavy rain with an intensity of 25 mm/hour. Heavy rains are caused by cumulonimbus convective cloud activity. This cloud activity can be analyzed by utilizing Himawari-8 satellite remote sensing with RGB, CCO, and using the upper air observation method with radiosonde at 00 UTC in the Surabaya area. The purpose of this research is to identify heavy rain in some areas of Surabaya according to some news in the area. The results of observations from the RGB method occurred cloud conditions resulting in high heavy rain. The observation results of the CCO method occurred convective clouds at the time of the heavy rain event with high intensity. The results of observations of upper air observations with radiosonde at 00 UTC showed an atmospheric stability index indicating a chance of extreme weather in the Surabaya area. In addition, based on ECMWF Copernicus reanalysis data, there is a warm and humid airflow from the Java Sea to the mainland which causes cloud formation and heavy rain. In addition, a negative value of divergence is obtained and the humidity value reaches 80%. This shows that the analysis using the RGB method, CCO, radiosonde data, and Copernicus ECMWF reanalysis data are compatible and support each other.

Title

Found 12 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 12 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 12 Documents
Search