Agromet https://jma.journal.ipb.ac.id/index.php/agromet <p>Agromet 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 the Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with the Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University.<br><br><br><br></p> PERHIMPI (Indonesian Association of Agricultural Meteorology) en-US Agromet 0126-3633 Fire Danger on Jambi Peatland Indonesia based on Weather Research and Forecasting Model https://jma.journal.ipb.ac.id/index.php/agromet/article/view/37913 <p>Monitoring drought related to peat fire danger is becoming essentials due to the adverse impacts of peat fires. However, the current monitoring is mostly based on station data and has not yet covered all parts of peatlands. This research was carried out to initiate a spatial monitoring for peat fire, particularly in Jambi province. Our approach was simple by integrating Weather Research Forecasting (WRF) output with a drought-fire model. This research aims to: (i) calibrate rainfall, air temperature and soil moisture data from WRF output; and (ii) analyze temporal drought related to fire danger. A drought-fire model known as Peat Fire Vulnerability Index was applied with daily inputs of WRF output at 5km resolution, which were comprised of rainfall, air temperature, and soil moisture. The results showed that calibration reduced rainfall magnitude, and slightly increased the maximum air temperature and soil moisture. The calibration performance was good as shown by a very low percent bias (less than ±5%), and lower error (RMSE=16.5; MAE=9.5). Our analysis showed that drought triggered by El Niño in 2015 had escalated extreme fire danger class by 38% compared to normal year (2018). This has been confirmed by a low variation of proportion of extreme class during July-August 2015. The results suggested that integrating spatial global climate data will benefit to the improved drought-fire model by providing spatial data. The results are expected to be a reference on drought and peat fires mitigation action.</p> Lisnawati Muh Taufik Bambang Dwi Dasanto Ardhasena Sopaheluwakan Copyright (c) 2022 Lisnawati, Muh Taufik, Bambang Dwi Dasanto, Ardhasena Sopaheluwakan https://creativecommons.org/licenses/by-nc/4.0 2022-01-21 2022-01-21 36 1 1 10 10.29244/j.agromet.36.1.1-10 Drought Events in Western Part of Timor Island Indonesia https://jma.journal.ipb.ac.id/index.php/agromet/article/view/37459 <p>Drought is a below-averaged condition of water availability, which has detrimental impacts on many sectors. Many studies have been performed on drought analysis in Indonesia, yet knowledge about drought in western Timor is still limited. This research carried out a historical meteorological drought analysis based on a 3-month Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) using global climate data for 1989-2018. The index value was then categorized into three groups: moderate, severe, and extreme. We assessed: (i) the influence of El Niño phenomena to drought events, (ii) drought class frequency, and (iii) drought trend. Based on historical data, western Timor had a monsoonal pattern with dominant dry period, which occurred in April to November. The results showed that the drought events were mostly influenced by El Niño. Seasonally, El Niño not only increased the drought frequency in July-August (JJA) season, but also in other seasons. In El Niño year of 2015, drought covered most parts of study area during September-November (SON) season, especially in the western part. Dry conditions increased in June, reached maximum in September-November, and decreased in December. Other findings show that an extreme drought consistently had a downtrend, while the moderate drought had upward trends. Spatiotemporal drought analysis using SPI and SPEI showed similar patterns, SPEI detected a higher frequency of drought classes compared to SPI. This study suggests that knowledge on drought-related El Niño will benefit on drought mitigation action in the future.</p> Flegor Hermes Sabuna Rini Hidayati I Putu Santikayasa Muh Taufik Copyright (c) 2022 Flegor Hermes Sabuna, Rini Hidayati, I Putu Santikayasa, Muh Taufik https://creativecommons.org/licenses/by-nc/4.0 2022-02-11 2022-02-11 36 1 11 20 10.29244/j.agromet.36.1.11-20 Season Onset Prediction Based on Statistical Model for Malang Regency, East Java https://jma.journal.ipb.ac.id/index.php/agromet/article/view/32313 <p>Prediction of season onset is important for many sectors, particularly on agricultural practices, as its usage for reducing climate risk and planning activities. Current knowledge on season onset prediction mainly focused on large area, which remains research challenge for local level. This research developed model prediction of season onset for Malang Regency, East Java based on global climate data. The research specifically aimed to: (i) determine the onset date of rainy and dry season, (ii) generate equation for onset date prediction using principal component regression (PCR) approach, and (iii) evaluate the model performance. We depend on statistical model based on a combine of domain time and principal component analysis (PCA) for atmospheric variables, namely sea level pressure, outgoing longwave radiation, and zonal wind. We used the Tropical Rainfall Measuring Mission (TRMM) data for model evaluation, especially for determination of onset date. Based on cumulative anomalies rainfall, the onset date for dry season occurred in the early May, whereas for rainy season it was in early November. The results showed that regression models of the principal components had a good skill to predict onset date for both seasons. It has been confirmed by a low error and a high correlation. Visually, the dynamic of onset dates from model was mostly identical to the observation. The predictive model for rainy season had higher performance compared to the model for dry season. This finding was confirmed by insignificant difference resulted from the independent t-test between model and observed onset dates. The best model for dry season was conducted by domain time of February, whereas for rainy season was domain time of August. This research can be used to complement previous studies regarding season onset prediction in Indonesia.</p> Fithriya Y Rohmawati Urfana Istiqomah Rahmat Hidayat Copyright (c) 2022 Fithriya Y Rohmawati, Urfana Istiqomah, Rahmat Hidayat https://creativecommons.org/licenses/by-nc/4.0 2022-03-17 2022-03-17 36 1 21 30 10.29244/j.agromet.36.1.21-30 Analysis of Crop Water Requirement for Maize with Planting Hole System under Dry Climate Condition https://jma.journal.ipb.ac.id/index.php/agromet/article/view/38558 <p>Crop water requirement is an important factor to increase water use efficiency and avoid crop failure in dryland. A way to increase water use efficiency is by determining an irrigation interval scenario and utilizing a planting hole system. Research on the analysis of water requirement in the planting hole system with an irrigation interval for maize is still limited. Therefore, this study aims to analyze the level of water requirement for maize in dryland. This research was conducted in Camplong Village, Kupang District, East Nusa Tenggara (NTT) from January-May 2020. The design used was a split-plot of various treatments. There were three different techniques of applying fertilizer as the main plot, and two treatments of pruning maize leaves as sub-plots. The different treatments of fertilizer application includes: 1) mixing manure with rice husk charcoal (Ls+As), 2) separating manure from rice husk charcoal (Ls/As), 3) no addition of manure or rice husk charcoal into the planting hole (control). The sub-plots were divided into 2 treatments namely with leaf pruning (P) and without leaf pruning (TP). The water requirement was analyzed based on the FAO 56 approach with the production calculation in weight unit of tiles (<em>ubinan</em>). The results showed that 75% water efficiency was achieved or there was a water saving of 3,119 m<sup>3</sup>/ha/planting season when compared to conventional techniques. The highest maize productivity (7 tons/ha) was attained in treatment of mixing manure with rice husk charcoal with leaf pruning. The result indicated that this water savings may be used to expand the planting area to 3 ha.</p> Haruna Yonny Koesmaryono Tania June Budi Kartiwa Copyright (c) 2022 Haruna, Yonny Koesmaryono, Tania June, Budi Kartiwa https://creativecommons.org/licenses/by-nc/4.0 2022-03-28 2022-03-28 36 1 31 41 10.29244/j.agromet.36.1.31-41 Bogor Water Adequacy Status for 2009-2019 https://jma.journal.ipb.ac.id/index.php/agromet/article/view/36745 <p>Water adequacy becomes one of the global concerns as the trend of population growth continues to arise. The condition of water adequacy can be worse in some regions since it also relates to rainfall, which is greatly influenced by global climate change. Here we explore water adequacy at local scale especially in Bogor, Indonesia based on sectoral water demands. The study aims to analysis water adequacy for 2009-2019 based on a climatic water balance. Water supply-demand analysis was performed using water usage index (WUI) in which high WUI corresponds to high critical water balance. Our results showed there was a deceased trend for water supply in Bogor approximately 0.6% per year, whereas an increased trend was observed for water demand (1.7% per year). The main contributor for the increased demand was from domestic water demand by 48%. Generally, water adequacy in Bogor for the period analysis (2009 -2019) is still adequate, but a proper management of water resource will ensure water adequacy in the long run in response to population explosion and climate change.</p> Nita Tarigan Perdinan Bambang Dwi Dasanto Copyright (c) 2022 Nita Tarigan, Perdinan, Bambang Dwi Dasanto https://creativecommons.org/licenses/by-nc/4.0 2022-05-20 2022-05-20 36 1 42 50 10.29244/j.agromet.36.1.42-50 Land Use Change Impact on Normalized Difference Vegetation Index, Surface Albedo, and Heat Fluxes in Jambi Province: Implications to Rainfall https://jma.journal.ipb.ac.id/index.php/agromet/article/view/39681 <p>Jambi covers various land uses with different characteristics related to biogeophysical cycle. Land use plays an important role in the atmosphere-surface interaction and energy balance partition, which influenced rainfall pattern. Two proxies widely used to differentiate various land uses are albedo and normalized difference vegetation index (NDVI). However, study on albedo and NDVI relationship with rainfall in Jambi is still limited. This study aims to analyze the correlation of NDVI and albedo with rainfall and their distribution in Jambi and Muaro Jambi in 2013 and 2017. The research used Landsat 8 OLI TIRS satellite image data to derived NDVI and albedo, and CHIRPS data for rainfall. A simple linear regression was used to calculate the correlation of NDVI and albedo with rainfall. The results showed that the distribution of albedo for each land use class from the lowest to the highest was forest, plantation, cropland, shrubs, and settlements, respectively. On the contrary, the distribution of NDVI and rainfall is the inverse to albedo. Albedo and NDVI had a strong influence on rainfall through surface energy balance partition. This was indicated by the high R-square between albedo and rainfall (0.99) and between NDVI and rainfall (0.97). Increasing upward latent heat flux from the land surface to atmosphere leads to a rainfall increase. In other words, rainfall may also increase with the decrease in albedo, increase in NDVI, or land use change.</p> Siti Nadia Nurul Azizah Tania June Resti Salmayenti Ummu Ma'rufah Yonny Koesmaryono Copyright (c) 2022 Siti Nadia Nurul Azizah, Tania June, Resti Salmayenti, Ummu Ma'rufah, Yonny Koesmaryono https://creativecommons.org/licenses/by-nc/4.0 2022-06-27 2022-06-27 36 1 51 59 10.29244/j.agromet.36.1.51-59