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Jurnal Agromet Indonesia
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Jurnal Agromet Indonesia publishes original research articles or reviews that have not been published elsewhere. The scope of publication includes agricultural meteorology/climatology (the relationships between a wide range of agriculture and meteorology/climatology aspects). Articles related to meteorology/climatology and environment (pollution and atmospheric conditions) may be selectively accepted for publication. This journal is published twice a year by Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University.
Articles
390
Articles
Forecasting Season Onsets in Kapuas District Based on Global Climate Model Outputs

Nurdiansyah, Laode, Faqih, Akhmad

Agromet Vol 32, No 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Predictions of the rainy and dry season onsets are very important in climate risk management processes, especially for the development of early warning system of land and forest fires in Kalimantan. This research aims to predict the rainy and dry season onsets in two cluster regions in Kapuas District, Central Kalimantan. The prediction models used to predict the onsets are developed by using seasonal rainfall data on September-October-November (SON) periods as predicted by five Global Climate Models (GCMs). The model uses Canonical Correlation Analysis (CCA) method available in the Climate Predictability Tool (CPT) software developed by the International Research Institute for Climate and Society (IRI), Columbia University. The results show that the predictors from HMC and POAMA models produce better canonical correlations (r = 0.72 and 0.89, respectively) compared to BCC (r=0.46), CWB (r=0.62), and GDAPS_F (r=0.67) models. In the development of models for predicting the dry season onsets, the predictors from CWB and POAMA models perform better canonical correlation results (r = 0.73 and 0.76, respectively) compared to BCC (r=0.53), GDAPS_F (r=0.64), and HMC (r=0.46) models. In general, the model validations showed that CWB, GDAPS_F, and POAMA models have better predictive skills than BCC and HMC models in predicting onsets of the rainy and dry seasons (with Pearson correlations (r) ranging between 0.30 and 0.75). Experiments on those five models for the predictions of rainy season onset in 2013 showed that the predicted onsets occurred on the range of 8 September to 22 October in Cluster 1 and on 3 to 7 October in Cluster 2. For the predictions of the dry season onsets in 2014, the models predicted the occurrences from 6 to 25 May in Cluster 1 and from 21 to 25 March in Cluster 2.

Comparison of Aerodynamic, Bowen-Ratio, and Penman-Monteith Methods in Estimating Evapotranspiration of Oil Palm Plantation

June, Tania ( Bogor Agricultural University ) , Srimani Puspa Dewi, Ni Wayan, Meijide, Ana

Agromet Vol 32, No 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Oil palm is one important agricultural commodity that has high economic value. Oil palm productivity is significantly influenced by its water use (needs). Measurement and estimation of oil palm evapotranspiration is needed for determination of its water needs. Various methods are available and this study compare three methods, consisting of aerodynamic, Bowen-Ratio and Penman-Monteith methods in analyzing water needs/use of oil palms plantation located in PTPN VI Jambi.  Peak of evapotranspiration rate occured in the afternoon around 13.00 and 14.00 local time. Bowen-Ratio method has higher estimation value of evapotranspiration than the other two methods. Ratio between evapotranspiration and global radiation of two and ten-years old oil palm plantations remain similar, around 47%. Penman Monteith method has the nearest estimation value to reference method (aerodynamic method) showed by the smallest RMSE value, 0.087 for two years oil palm and 0.157 for ten-years old oil palm.

Evapotranspiration of Sandalwood (Santalum Album L.) Seedlings with Several Primary Host Plants

FanggidaE, Yudi Riadi ( Bogor Agricultural University ) , Impron, Impron ( Bogor Agricultural University )

Agromet Vol 32, No 1 (2018): JUNE 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Sandalwood (Santalum album L.) seedlings planted with different primary host plants should require different amounts of water. In practice, however, sandalwood seedlings with different primary host plants are irrigated with similar amount of water. Thus, it is interesting to study the amount of water expressed as evapotranspiration for the sandalwood seedlings and their primary host plants because there are hemiparasitic symbiosis plants in one planting medium. The purpose of this research was to compare and analyse evapotranspiration (ET) and water use efficiency (WUE) of sandalwood seedlings with different primary host plants, namely chili (Capsicum annum), krokot (Alternanthera sp.), and sengon (Albizia chinensis). The experiment was conducted in a greenhouse and designed using completely randomized design. Results showed that different primary host plants already influenced ET at 6 days after sowing of primary host (DASH). The sandalwood seedlings with chili and krokot as primary hosts, had the highest ET during 6-22 DASH. From 24 to 36 DASH, ET for all types of host plants were similar. After 36 DASH, ET of sandalwood seeding with primary host sengon increased, and had the highest ET. Sandalwood seedling with primary host krokot had the highest WUE to produce sandalwood above ground biomass with value 0.3 g/l during the 0-3 weeks after sowing of primary host (WASH), 0.6 g/l during the 3-6 WASH, and 0.9 g/l during 6-9 WASH.

Pengaruh Ketinggian Tempat dan Curah Hujan Pada Penyakit Diare (Studi Kasus: Kabupaten Bogor)

Syafei, Muhammad, Hidayati, Rini

Agromet Vol 28, No 1 (2014)
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

This study aimed to determine the effect of altitude and rainfall on the incidence of disease ( IR ) diarrhea, and to obtain threshold values ​​of rainfall that often cause diarrhea. Determination category of normal rate of diarrhea IR is based on diarrhea IR by DINKES Bogor in the amount of 20-25/1000 population per year, while the determination of precipitation category is based on consideration of Oldeman climate classification. The results showed that there were two districts with very high levels of vulnerability i.e.  Cisarua and Cijeruk, while the other regions only at a moderate level. The negative influence of altitude (or positive influence of temperature) on the IR will be evident if the analysis is separated between in the highlands (> 600 asl) and the lowlands (< 600 asl). This influence is significant, especially at altitudes above 600 meters above sea level. The correlation of the precipitation is significant negative linear to the incidence of diarrhea in the district Cisarua, Cibinong, Jonggol, and Jasinga. In districts Cibinong, Jonggol, and Jasinga, precipitation should be anticipated in the range of 100-200 mm/month, where moderate IR often occurs, while in the district Cisarua, is in the range of precipitation 300-400 mm/month, where high IR often occurs.

Dynamical Downscaling Luaran Global Climate Model (GCM) Menggunakan Model REGCM3 untuk Proyeksi Curah Hujan di Kabupaten Indramayu

Jadmiko, Syamsu Dwi, Faqih, Akhmad

Agromet Vol 28, No 1 (2014)
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Future rainfall projection can be predicted by using Global Climate Model (GCM). In spite of low resolution, we are not able specifically to describe a local or regional information. Therefore, we applied downscaling technique of GCM output using Regional Climate Model (RCM). In this case, Regional Climate Model version 3 (RegCM3) is used to accomplish this purpose. RegCM3 is regional climate model which atmospheric properties are calculated by solving equations of motion and thermodynamics. Thus, RegCM3 is also called as dynamic downscaling model. RegCM3 has reliable capability to evaluate local or regional climate in high spatial resolution up to 10 × 10 km. In this study, dynamically downscaling techniques was applied to produce high spatial resolution (20 × 20 km) from GCM EH5OM output which commonly has rough spatial resolution (1.875o × 1.875o). Simulation show that future rainfall in Indramayu is relatively decreased compared to the baseline condition. Decreased rainfall generally occurs during the dry season (July-June-August/JJA) in a range 10-20%. Study of extreme daily rainfall indicates that there is no significant increase or decrease value.

Variabilitas Curah Hujan Indonesia dan Hubungannya dengan ENSO/IOD: Estimasi Menggunakan Data JRA-25/JCDAS

Hidayat, Rahmat ( Institut Pertanian Bogor ) , Ando, Kentaro

Agromet Vol 28, No 1 (2014)
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Rainfall variability over Indonesia and its relation to El Niño – Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) events were investigated using the Japanese 25-year reanalysis/Japan Meteorological Agency (JMA) Climate Data Assimilation System (JRA-25/ JCDAS). The JRA-25 data consistently depicts seasonal variation of Indonesian rainfall with a wet season that peaks at December-January and a dry season that peaks in July-August when the convection belt moved northward. Composite analysis of rainfall, sea surface temperature and low-level wind anomalies have shown that the impact of ENSO/IOD on rainfall variations in Indonesia is clearly dominant during dry season. Drought conditions typically occur during El Niño years when SST anomalies surrounding Indonesia are cool and walker circulation is weakened, resulting in anomalous surface easterlies across Indonesia. In contrast, in the wet season, the weakening of the relationship between ENSO and Indonesian rainfall is linked to the transition between surface southeasterlies to northwesterlies. At this time persistent surface easterly anomalies across Indonesia superimposed on the climatological mean winds during a warm phase of ENSO event acts to reduce the wind speed resulting reduced the negative DJF rainfall anomalies.

Prediksi Awal Musim Hujan di Jawa Menggunakan Data Luaran Regional Climate Model Version 3.1 (RegCM3)

Rohmawati, Fithriya Yulisiasih, Boer, Rizaldi, Faqih, Akhmad

Agromet Vol 28, No 1 (2014)
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Monsoon onset information plays an important role in setting up planting strategy for achieving optimum yield. This study aimed to develop forecasting model for the monsoon onset in main rice growing area of Java used Regional Climate Model Version 3.1 (RegCM3). The forecasting models of the monsoon onset and September-Oktober-November (SON) rainfall data were developed using regression model that have the highest coefficient determination and the models were tested using likelihood ratio test. It was found that the forecasting models of the monsoon onset and September-Oktober-November rainfall data were polynomial orde 2 or cuadratic that have coefficient determination 69%, 74%, 80% and 86%. Likelihood ratio test found that RegCM3 rainfall data was not significantly different with observation rainfall data (α = 0.05). Onset in Java between 25th until 34th of 10-days period (early September until early December).

Penentuan Awal dan Durasi Musim Kemarau Menggunakan Fungsi Polynomial dengan Aplikasi Visual Basic for Applications (VBA)

Irsyad, Fadli, Saptomo, Satyanto Krido, Setiawan, Budi Indra

Agromet Vol 28, No 1 (2014)
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Forecasting the occurrence of the onset of dry season and its length is important in determining the availability of water for irrigation, domestic and industrial uses. The length of dry season is used for reference in calculating water demand. Prediction of drought can be studied based on the rainfall patterns that have occurred. This is possible because there is a tendency that the rain will repeat a certain pattern at a certain time. The purpose of this study was to predict the onset of dry and rainy seasons as well as their length. Determination of the onset of dry season and its length was conducted using polynomial function of the cumulative amount of rain every single day based on the rain data. The research was conducted using rainfall data from Climate Station III in Serang from 1989 to 2010. The sum of daily rainfall could form a polynomial function. If the magnitude of daily rainfall in a certain period of time is less than the slope of the cumulative annual rainfall, then at that time the dry season is occurred. Determination of the dry season peak can be done by finding the maximum (extreme) point from the polynomial function by getting the second derivative which value is close or equal to zero. In average, the dry season occurred in Serang city started on the 132nd until 300th day. Deviation value for the onset of dry and rainy seasons were 23 and 38 days, respectively, with an average of length of 168 days. The average of R2 value for polynomial function was 0.9937.

Kaitan Ruang Terbuka Hijau dengan Kenyamanan Termal Perkotaan

Effendy, Sobri, Aprihatmoko, Ferdy

Agromet Vol 28, No 1 (2014)
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

The existence of green open space in urban areas is very important in influencing the conditions of thermal comfort. The objective of this research was to analyze the relationship between green open space and human comfort for the city of Yogyakarta. We employed Temperature Humidity Index (THI) with input air temperature and relative humidity. The THI value was obtained from four green open space categories those are point, line, area and non-green space. The results showed that the green open space has a positive effect on lowering the air temperature through the cooling effect and providing more comfortable conditions than the place with non-green open space. Based on this research, the city of Yogyakarta could be categorized as quite comfortable.

Incidence Analysis of an Acute Respiratory Infection due to Climate Conditions and PM10 Concentration in West Jakarta Region

Hidayati, Rini, Anggiani, Septina Tri ( Bogor Agricultural University ) , Maufikoh, Ikoh

Agromet Vol 31, No 2 (2017): DECEMBER 2017
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

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Abstract

Humans have contributed to an increased of particulates concentration due to their daily life activities including from transportation, industry, infrastructure and household. One common particulate found is PM10, which affects human health such as respiratory tract disorders. Weather condition controls PM10 concentration. This research aims to analyze the weather impact on PM10 concentration associated with the occurrence of acute respiratory infections. We analysed relationship between rainfall and PM10 on day to seasonal timescale resolution. Our results show a negative correlation between rainfall and PM10. It appears that season strongly influences the correlation with high and low PM10 concentration occurred during July-August (dry season) and December-February (wet season), respectively. At daily basis, our findings revealed that minimum PM10 concentration occurred at 06.00 am, and it will increase following human activities while people are going to workplace and school. Further, we found that a combining of low humidity and high PM 10 concentration will lead to high acute respiratory infections.