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INDONESIA
Agromet
Published by Institut Pertanian Bogor
ISSN : 01263633     EISSN : 2655660X     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
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 Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University.
Arjuna Subject : -
Articles 293 Documents
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Transboundary Trajectory Patterns of PM2.5 in The Lower Troposphere of Jakarta Region Istiqomah, Sifa; Santikayasa, I Putu; Turyanti, Ana
Agromet Vol. 39 No. 2 (2025): DECEMBER 2025
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.39.2.107-119

Abstract

PM2.5 is a key indicator of air quality and poses serious environmental and health concern, especially in Jakarta where air quality frequently exceeds recommended standards. But researches mainly focus on surface-level pollutant, underscoring transboundary emission. This study aims to analyze the transboundary trajectory patterns of PM2.5 pollutants, and to estimate the contribution of emissions to air quality in the Jakarta for 2024. Meteorological data and PM2.5 concentrations from five air quality monitoring stations were analyzed during non-rainfall periods. Potential emission sources analysis was simulated using HYSPLIT Concentration Weighted Trajectory (CWT). Our results show PM2.5 concentrations during the wet season were ~40% lower than dry season, with an average concentration of 27.11 μg/m3 and were strongly influenced by monsoonal wind patterns in both seasons. During the west monsoon, pollutant transport was predominantly from the southwest to northeast, whereas during the east monsoon it shifted from the northwest to northeast. The trajectory patterns exhibited no substantial differences across all layers (15, 50, 100, and 200 m), although seasonal atmospheric stability influenced pollutant dispersion. In the wet season, PM2.5 primarily originated from western regions of Jakarta, while in the dry season sources were predominantly from the east, which is consistent with prevailing monsoonal winds. Several monitoring stations also indicated potential contributions from North Jakarta due to curved airflow patterns. These findings highlight the dominant role of monsoonal wind in controlling PM2.5 concentrations and transboundary transport in Jakarta within the lower troposphere.
Spatial and Temporal Drought Evaluation Based on Water Balance Using TerraClimate Data in East Java Province Nizar Manarul Hidayat; Sulistiani Sulistiani
Agromet Vol. 40 No. 1 (2026): JUNE 2026
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.40.1.28-43

Abstract

Drought is one of the most critical hydrometeorological hazards affecting water resources and agricultural sustainability in East Java, Indonesia. This study evaluates the spatial and temporal characteristics of drought using a water balance approach based on TerraClimate data from 1981–2017 and validates the results against rainfall observations from 14 stations during 2008–2017. Groundwater availability (GWA) was estimated using the Thornthwaite–Mather water balance method by integrating monthly precipitation and potential evapotranspiration (PET), with adjustments for local soil properties derived from FAO soil classifications. Trend analysis using the Mann–Kendall test and Sen’s slope revealed a significant increase in dry-month frequency across East Java, particularly in northern coastal and eastern regions, with trends ranging from 0.2 to 0.4 additional dry months per decade. Validation results demonstrated strong agreement between TerraClimate and observational data, with correlation coefficients ranging from 0.76 to 0.997 and RMSE values between 4.78 and 85.3 mm. Higher model performance was observed in inland and highland areas, while larger discrepancies occurred in coastal regions due to greater microclimatic variability. Seasonal analysis showed that drought conditions mainly occur from May to September, whereas water surplus periods dominate from October to March. Spatially, drought propagation was observed from northern coastal areas toward inland regions of central East Java. The findings demonstrate the reliability of TerraClimate for regional drought monitoring and support its application in early warning systems, adaptive cropping calendar management, and the development of small-scale water storage infrastructure in drought-prone areas.
Designing A Rainfall Potential Prediction Model Based on Atmospheric Stability in Airport Areas Yus Prihatinina; Perdinan; Akhmad Faqih; Supari
Agromet Vol. 40 No. 1 (2026): JUNE 2026
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.40.1.12-25

Abstract

Rainfall forecasting in airport areas plays a crucial role in ensuring flight safety and operational reliability, yet local characteristics effect on rainfall intensity are overlooked. This study aims to develop a rainfall occurrence and intensity prediction model using Artificial Neural Network (ANN) based on atmospheric stability indices including Showalter Index (SI), Lifted Index (LI), K Index (KI), Total Totals (TT), Convective Available Potential Energy (CAPE), Convective Inhibition (CIN), and Precipitable Water (PW). Data were obtained from radiosonde observations, Automated Weather Observing System (AWOS), and Meteorological Aerodrome Report (METAR) in Soekarno-Hatta International Airport January 2020-December 2024 at 00 and 12 UTC. We used two stage analysis (1) binary rainfall occurrence prediction and (2) three-class rainfall intensity prediction based on selected feature. Our results reveal that ANN is capable to simulate rainfall occurrence with high accuracy (>0.78), outperforming the minimal-feature model (0.738) and all other configurations. Physically, the atmospheric indices can be grouped into three categories: stability-related indices (SI, LI, KI, TT), energy-related indices (CAPE, CIN), and moisture-related indices (PW), representing key factors influencing convective rainfall in tropical regions. However, the model’s applicability may be limited in study site due to local climatic characteristics and temporal constraints of the dataset. These findings highlight the importance of selecting physically relevant atmospheric parameters and implementing robust data preprocessing to enhance rainfall prediction accuracy in operational aviation contexts.

Page 30 of 30 | Total Record : 293

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