The Climate of Tropical Indonesia Maritime Continent Journal

Analisis Kesesuaian Iklim untuk Pengembangan Komoditas Duku

Fendy Afrianto — 2022-04-14

Duku (Lansium domesticum Corr) termasuk salah satu primadona buah tropis dengan nilai ekonomi dan kearifan lokal. Hasil penelitian ini dapat digunakan untuk menilai tingkat kesesuaian wilayah untuk pengembangan tanaman cendana dan untuk menyusun berbagai alternatif teknologi budidaya. Kondisi biofisik secara umum sangat menunjang untuk pengembangan komoditas duku di Jambi. Namun demikian kajian lebih jauh berkaitan dengan aspek biofisik dan sosial-ekonomi untuk pengembangan duku perlu dilakukan. Proyeksi iklim untuk pengembangan duku juga perlu dilakukan karena dapat menjadi acuan kedepannya.

Variabilitas Musim Hujan Terkait Suhu Muka Laut Samudera Pasifik (Wilayah Nino 3.4) di Zona Musim Nusa Tenggara Barat

Nuryadi — 2022-04-14

Tropical climate elements, especially rainfall, are a climate phenomenon that varies greatly both spatially and temporally. The criteria for the beginning of the season in Indonesia use more rainfall accumulation in ten days (10 days). This study examines the variability of the rainy season in the West Nusa Tenggara (NTB) region associated with sea surface temperature anomalies in the Pacific Ocean. The variability of the beginning of the rainy season and the accumulation of rainy season were processed from the basic rainfall data in 21 areas of the season zone for the period 1981-2010, as well as in 2010/2011 and 2015/2016. Meanwhile, the Ocean Nino Index (ONI) data used is the period 1998-2016 which was downloaded from http://www.bom.gov.au/climate/enso/history/ln-2010-12/three-phases-ofENSO .shtml. The results show that based on the ONI index data period 1998-2016, there were three El Nino events with moderate-very strong intensity and 5 La Nina events with moderate-strong intensity. The very strong El Nino phenomenon occurred in 2015 with an ONI index value of more than +2.5, while La Nina was strong with the highest index occurring in 2010 (> -1.5). The beginning of the rainy season in the 2010 La Nina year generally in most parts of West Nusa Tenggara progressed 1 to 10 decades against the average, except for the eastern and northern parts of Sumbawa Besar which are equal to the average. Meanwhile, the beginning of the rainy season in the 2015 El Nino year generally in most parts of West Nusa Tenggara retreated 1 to 4 decades from the average, except for Bima and northern Dompu which were equal to the average. The percentage of rainfall and the nature of the rainy season in La Nina 2010/2011 generally in most parts of West Nusa Tenggara Normal with a value of 86% to 114%, except for most of Sumbawa Besar, Bima and upper western part of Dompu Above Normal with values of more than 115% . Meanwhile, in the rainy season in El Nino 2015/2016 generally in most parts of West Nusa Tenggara it is Normal with a value of 90% to 112%, except for most of Lombok, parts of southern Sumbawa Besar, and eastern part of Dompu is Below Normal with a value of 48% to 84%.

Model Estimasi Data Intensitas Radiasi Matahari untuk Wilayah Banten

Munawar — 2022-04-14

Solar radiation data (R_s, MJm^-2d^-1) has a significant role in weather and climate model in quantifying heat exchang between earth surfaces and the atmosphere. Solar radiation data also an important variable in agricultural sciences, hydrology, meteorology, and soil physics. However, the sparsity of weather stations spot in which solar radiation intensity can be observed makes model estimation as one of the best alternative solution for solar radiation intensity measurements. Today, there are many models that can be used to estimate the magnitude of solar radiation intensity. This study aims to investigate and evaluate two different modelling approach, first through an empirical model, represented by The Keiser AR (sama seperti abstrak Indonesia, apakah nama modelnya Keiser, AR atau AR itu singkatan dari Arkansas?, kalau singkatan uraikan dulu AR itu apa baru akronimkan) and two, through a deterministic model, which uses three main weather variables as the input data. These variables consists of rainfall (mm), maximum temperature (°C), and minimum temperature (°C) data. Evaluation results of predicted solar radiation intensity data by the model compared to daily reanalysis data of solar radiation from NCEP in coordinate point of Pondok Betung Climatological Station shows a correlation value of 0.72 (i.e a strong correlation value) and a root mean square error value (RMSE) of 2 MJm^-2d^-1. Based on spatial review, the model performance varies over The Province of Banten, the predicted results of solar radiation data in the province’s western region shows better performance than those in the province’s eastern region.

Identifikasi Urban Heat Island dan Faktor yang Mempengaruhinya Menggunakan Google Earth Engine

Ervan Ferdiansyah — 2022-04-14

Karawang merupakan salah satu kota industri di Indonesia. Jumlah lahan industri di kabupaten karawang terus meningkat dan berpotensi menyebabkan terbentuknya Urban Heat Island (UHI) di wilayah tersebut. Terbentuknya UHI di kabupaten karawang dapat berdampak pada kenyamanan termal. Identifikasi UHI di wilayah kabupaten Karawang dapat dilakukan melalui analisis spasial dengan memanfaatkan Goolge Earth Engine Sehingga didapatkan peta UHI dan peta tutupan lahan. Pada periode 2015-2019 wilayah urban atau perkotaan mengalami peningkatan sebesar 1,49% disertai penurunan wilayah lahan kosong sebesar 0,01% dan lahan pertanian sebesar 0,78%. Pada periode 2015 hingga 2019, kondisi UHI di kabupaten karawang terpusat di Kecamatan Karawang Barat hingga Kecamatan Cikampek, hal ini dikarenakan UHI terdeteksi di wilayah kawasan industri, pusat kota, kawasan dengan lalu lintas padat dan tingkat aktivitas penduduk yang tinggi.

Pengaruh Urban Heat Island terhadap Kenyamanan di Jakarta dan Sekitarnya Tahun 1993-2018

Muhammad Fajri Zulkifar — 2022-04-14

Urban Heat Island (UHI) is a phenomenon of air temperatures in urban areas higher than in rural areas. Jakarta and its surrounding areas are examples of UHI phenomena that cause a higher level of comfort in urban areas compared to rural areas. The El Niño – Southern Oscillation (ENSO) factor is also considered influential in terms of UHI and comfort level. Data was obtained from 6 station points in Jakarta and surrounding areas in 1993-2018 which is the daily air temperature and humidity and used SOI data to determine the ENSO period. Calculate UHII using the Urban Heat Island Intensity (UHII) method, measure comfort using the Temperature Humidity Index (THI) method, and use a linear regression method to determine the relationship of UHII with different THI. As a result, the average value of Urban Heat Island intensity was not negative in all UHII. This shows that the air temperature in urban areas is always higher than in rural areas. THI and ISBB values in urban areas are higher than rural areas, with THI values in urban areas 25.5 to 27.8 or included in the category of partially comfortable to uncomfortable while in rural areas having THI values of 24.5 to 25.5 or fall into the most comfortable category. THI value has a bimodal pattern which means it has two peaks. THI values are highest in May and October and lowest in January and July. THI values tend to be higher during the El-Nino event compared to the La-Nina incident with a neutral pattern in between. In addition, 1 ° C increase in UHII will result in an increase in THI difference of 0.9 when El-Nino, 0.78 when La-Nina and 0.86 when neutral.

Climate Characteristics of the Makassar Coastal Based on FKLIM Data

Giarno — 2022-04-14

The sea is the most extensive part of the earth and the most developed place in the world, as well as Makassar City in Indonesia. Moreover, the mainstay of the coastal city relies on the economic sector related to the sea, which is strongly influenced by land-sea wind circulation. Although it has long been known as an area that is influenced by land-sea winds, identification of changes in land-sea winds is still very rare. The purpose of this study was to identify the characteristics of the land-sea wind in Makassar using FKLIM data. Moreover, windrose graph is used to analyze the influence of sea breezes on rainfall, humidity, temperature, solar radiation, wind direction, and speed. The result shows that the circulation of land and sea winds influences Makassar City since appearing of changes in wind direction. Based on its location, the west to the north wind is identified as a sea breeze, while the land wind appears as an east or southeast wind. The appearance of these two wind directions throughout the year shows the influence of land and sea winds. Both of the factors affect other weather parameters, such as rainfall, temperature, and humidity. Moreover, the occurrence of rain does not always dominate by the Asian monsoon, but sometimes by the easterly wind which is probably the sea breeze. Meanwhile, high humidity is found in both wind directions and the presence of sea breezes can keep the temperature in this city always warm.