Buana, Muhammad Candra
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Spatial And Temporal Analysis Of Sea Surface Temperature Variability And Chlorophyll-A Over Two Decades In North Sulawesi Waters Buana, Muhammad Candra; Patty, Wilhelmina; Mantiri, Rose O. S. E.; Budiman, Johnny; Rimper, Joice R.T.S.L.; Rangan, Jety K.; Sumilat, Deiske Adeliene
Jurnal Ilmiah Platax Vol. 12 No. 2 (2024): ISSUE JULY-DECEMBER 2024
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v12i2.55621

Abstract

Sulawesi waters are directly affected by the dynamics that occur in the Pacific Ocean. The ENSO phenomenon that occurs in the Pacific Ocean can also be felt in the waters of the Sulawesi Sea. The dynamics of oceanographic parameters can cause climate change. The extreme impact of climate change is mainly the occurrence of rising temperatures and seasonal shifts. The purpose of this study is to analyze the variability of spatial and temporal anomalous distribution of sea surface temperature and chlorophyll-a. This study used monthly AQUA Modis image data, conducted by analyzing the spatial and temporal distribution of sea surface temperatures during the two decades of the period 2003 - 2022. This analysis is based on abnormal values obtained from subtracting parameter values from historical values (the average value of all data). The results of spatial variability analysis of sea surface temperature and chlorophyll –show anomalous variations occur in the western and transitional season periods I, while in the eastern season and transition II positive anomalous values dominate the eastern waters negative anomalies dominate the western waters opposite to chlorophyll – a. This study showed that there was an increase in sea surface temperature slope by 0.000840C / year while in chlorophyll - a there was a decrease in slope by 0.00072mg / m3 / year. Keywords: Spatial, Temporal, SPL, Chlorophyll – a, Climate Change. Abstrak Perairan Sulawesi mendapatkan pengaruh secara langsung dari dinamika yang terjadi di Samudera Pasifik. Fenomena ENSO yang terjadi di Samudera Pasifik juga dapat dirasakan dampaknya di perairan Laut Sulawesi. Dinamika parameter oseanografi dapat menyebabkan terjadinya perubahan iklim. Dampak ekstrem dari perubahan iklim terutama adalah terjadinya kenaikan temperatur serta pergeseran musim. Tujuan penelitian ini Menganalisis Variabilitas distribusi anomali spasial dan temporal dari suhu permukaan laut dan klorofil – a, Penelitian ini menggunakan data citra AQUA Modis bulanan, dilakukan dengan menganalisis sebaran spasial dan temporal suhu permukaan laut selama dua dekade periode 2003 - 2022. Analisa ini didasarkan pada nilai anomali yang didapat dari pengurangan nilai parameter dengan nilai historis (rerata nilai seluruh data). Hasil analisis variabilitas spasial suhu permukaan laut dan klorofil – a menunjukan variasi anomali terjadi pada periode musim barat dan peralihan I , sedangkan pada musim timur dan peralihan II nilai anomali positif mendominasi perairan sebelah timur anomali negatif mendominasi perairan sebelah barat sebaliknya dengan klorofil – a. Penelitian ini menunjukan bahwa terjadi peningkatan slope suhu permukaan laut sebesar 0,000840C/ tahun sedangkan pada klorofil - a terjadi penurunan slope sebesar 0,00072mg/m3/tahun. Kata kunci: Spasial, Temporal, SPL, Klorofil – a, Perubahan Iklim.
Analisis Arah dan Kecepatan serta Besar Persentase Fase Angin Menggunakan WRPLOT Tahun 2015-2020 di Stasiun Klimatologi Kelas II Paniki Atas Minahasa Utara Keintjem, Regina Gabriel; Baskoro, Winardi Tjahyo; Buana, Muhammad Candra; Nurmalasari, Nurmalasari; Trisnawati, Ni Luh Putu; Ratini, Ni Nyoman
Kappa Journal Vol 7 No 3 (2023): Desember
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i3.23907

Abstract

Weather and climate deviations have resulted in extreme weather in most parts of Indonesia which has triggered a number of natural disasters, such as tornadoes and floods that have occurred in various areas. It is necessary to know this in order to prevent something undesirable from happening. This writing aims to understand wind direction and speed and determine the percent of wind phases using WRPLOT V7.0 from 2015 to 2020. WRPLOT (Wind Rose Plots for Meteorological Data) is a windrose program for meteorological data. This software provides windrose diagram displays, frequency analysis and diagrams for several meteorological data formats. The data taken is wind data with the highest direction and highest speed recorded by the Class II Paniki Atas North Minahasa Climatology Station. Wind direction and speed data from 2015 to 2020 using WRPLOT obtained wind rose and wind speed graphs, namely 7 (from the dominant direction West), 2 (from the dominant direction Southeast), 2 (from the dominant direction South), and 1 (from the dominant direction Northeast), and the percentage of winds blowing from 2015 to 2020 at speeds ≥22 knots, namely more than 60%. Where the percentage of speeds ≥22 knots is highest in September and October with a percentage of 86%, while the percentage of speeds ≥22 knots is lowest in June with a presentation of 68.3%.