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Agromet

agromet
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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 6 Documents

Search results for , issue "Vol. 21 No. 1 (2007): June 2007" : 6 Documents clear

THE DAILY RAINFALL STATISTICAL SHIFT DURING THE HALF CENTURY OVER THE BRANTAS CATCHMENT, EAST JAVA(STATISTIK PERUBAHAN CURAH HUJAN HARIAN SELAMA SETENGAH ABAD DI DAERAH TANGKAPAN BRANTAS, JAWA TIMUR) E. Aldrian; F Ismaini; Yonny Koesmaryono
Agromet Vol. 21 No. 1 (2007): June 2007
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

A study of long term shift of the daily rainfall over the Brantas catchment East Java was done. Such a study is relatively new for the country due to lack of good quality data and sparsely distributed data all over the region. With a good quality long-term daily rainfall data over the Brantas catchment, we could detect a statistical shift of amount of rainy days, shift between periods and frequency trend changes from weekly, monthly, three-monthly and annually. The study utilized several methods including the probability density function distribution shift, Mann Kendall non parametric trend test and the wavelet analyses. The shift of low amount rainfall occurs from the dry to the wet season. We found distinct influences of orography and ENSO years in our trend tests. Additionally, the result of the Mann Kendall test show that the trend of rainy days increase during the wet season and the second transition period, while decrease during the dry season and first transitional period. Meanwhile the El Nino and La Nina have significant influence toward the dry season and the second transitional period.

PREDICTION OF DAILY RAINFALL CHARACTERISTICS FROM MONTHLY CLIMATE INDICES(PREDIKSI KARAKTERISTIK CURAH HUJAN HARIAN DARI PARAMETER IKLIM BULANAN) R Boer; K.A. Notodiputro; I Las
Agromet Vol. 21 No. 1 (2007): June 2007
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Information on rainfall characteristics such as dry-spell, wet-spell, maximum rainfall and some others are required for agricultural planning. The occurrence of long dry-spell in growing season, in particular during a growing stage sensitive to drought, should be avoided. This information will assist farmer to arrange their planting time and cropping pattern. If information on daily rainfall characteristics could be predicted before planting season is started, better planting arrangement could be developed. Pacific sea surface temperature anomaly, Darwin and Jakarta air pressure difference, Tahiti and Darwin air pressure difference, are climate indices that have been found to be related to Indonesian rainfall variation. Many GCM models have been developed for the prediction of these indices and the predicted indices can be accessed easily from many web-sites. Prediction of the indices for one-year period ahead is given in monthly basis. This study described the development of a weather generator model that used monthly rainfall as inputs for generating daily rainfall data. Relationship between monthly rainfall anomaly and the climate indices is developed. Thus, the likely monthly rainfall anomaly for coming season can be estimated from the indices. This predicted rainfall anomaly is then used to tune the weather generator model for the creation of statistically-based daily weather data for specific sites. The characteristics of daily rainfall such as dry spell, wet spell are generated using Excel spreadsheet that has been furnished with Monte Carlo simulation capability. Results of analysis showed that statistical characteristics of generated rainfall data are similar to the characteristic of observed data. Therefore, the use of predicted monthly rainfall data for coming season as input for the weather data generator model is expected to yield likely daily rainfall data for the coming season.

SKENARIO MASA TANAM KAPAS UNTUK MENEKAN RISIKO KEKERINGAN : STUDI KASUS KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN(COTTON PLANTING PERIOD SCENARIO FOR MINIMIZING DROUGHT RISK : CASE STUDY JENEPONTO DISTRICT, SOUTH SULAWESI PROVINCE … P. Redjekiningrum; Y. Apriyana; K.S. Haryanti
Agromet Vol. 21 No. 1 (2007): June 2007
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Water stress is a very important limiting factor for cotton cultivation in Jeneponto District, South Sulawesi Provine. Therefore, it is necessary to optimize water resources. One alternative is to obtain potency of water resources using soil-climate-crop simulation model to calculate ETR/ETM ratio (water satisfaction index). ETR/ETM ratio describing efficiency of water used by the plant. Based on the ratio, scenario of proper planting period can be predicted to minimize drought risk. Based on this idea, an experiment was conducted to mapping of planting periods and water used to enhance the expansion of cotton plantation. The results of research show that potential planting period for Bangkala and West Bangkala districts start from the 3rd dekad of September until the 1st dekad of January, while the best period is on the 1st dekad of November. Potential of planting period for Bontoramba and Turatea districts starts from the 3rd dekad of September until the 1st dekad of May, while the best period is on the 3rd dekad of November. In addition, the appropriate planting period for Batang, Kelara, and Rumbia districts start from the 3rd dekad of September until the 3rd dekad of April, while the best period is on the 1st dekad of December. Requirement for supplementary irrigation for 140 days after planting is about 180-304 mm. However, common necessity of cotton supplementary irrigation for 1-35 day is about 25 – 51 mm, while that is during flowering and fruiting (35 -60 day after planting), ripening (60-105 day after planting), and ripening (105-140 day after planting), are about 40-62, 115-135, 0-68 mm, respectively. It is concluded, deficit and surplus of water for less than 60 dap is not significantly influence plant production, but that is for 60 – 105 day after planting significantly reduces yield of the plant.

KETERKAITAN CUACA DI INDONESIA DENGAN FENOMENA BINTIK MATAHARI (SUNSPOT)(RELATIONSHIP BETWEEN WEATHER IN INDONESIA AND SUNSPOT PHENOMENON) B. Basyaruddin; S. Effendy
Agromet Vol. 21 No. 1 (2007): June 2007
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

The Sun activity was correlation with weather activities in global scale. Shortwave emission from flare sun space could be impact warmer in earth atmosphere only a short time and indirect caused atmospheric circulation pattern through polar direction from equator with more heater than the other palaces. Based on research the sun activity can caused indirect on the earth. On the other hand, atmosphere is in the first time accept effect modify from sun space. The effect is not the same at every layers of atmosphere. In the top atmosphere (Ionosphere) was layer with more free electron at the 225 km level occurred electron density diurnal and seasonal variation depend on sun position, and sun spot cycle. Sun spot impact on Indonesian weather with non-linier cubic equation. Solar radiation higher if increase amount of sun spot in the sun space. On the other hand, temperature and relative humidity influenced by outgoing radiation from earth, latitude and local topography specific than sunspot. It is interesting to note that this study different with literature. This study found average temperature in the tropic area the most highest than others area is contrary with literature.

ANTISIPASI DAN MEKANISME PENGAMBILAN KEPUTUSAN PETANI DALAM PENGENDALIAN DAMPAK ANOMALI IKLIM(FARMERS’ ANTICIPATION AND DECISION MAKING MECHANISM IN MANAGING IMPACT OF CLIMATE ANOMALY) S. Sarjana; M.N. Setiapermas; S. Basuki
Agromet Vol. 21 No. 1 (2007): June 2007
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Farmer’s collective participation in climate anomaly anticipating and managing its impacts are more significant. The study purposed to identify the climate anomaly impact and its anticipation in farmer’s level. The study is conducted in eight districts, i.e., Temanggung, Magelang, Kebumen, Brebes, Kendal, Grobogan, Pati, and Sragen, on July – October 2005. The analysis based on interview of 84 respondents that consist of farmers and officers of local agricultural services. According to the farmers, El Nino affected their farming activities like longer dry season, decreased yield, delay of onset planting season, increased costs for irrigation, seed, pesticides, and cost of land preparation. In farmers’ level, climate anomaly impacts was managed by planting schedules improvement, changing varieties or commodities, and looking for alternative sources of waters. Farmers determine the actions by considering collective decision and the guidance of agriculture extension workers. Time tolerance of farmers tin tailoring climate anomaly is about a month. However, most of farmers manage the farming system based on normal condition. As the climate anomaly is an external factor that affect farming system, local authority should support the farmer’s collective actions through dissemination of anticipation strategies in managing the impacts climate anomaly, and support facilities to implement the strategies.

MODEL DINAMIK PENILAIAN KESESUAIAN AGROKLIMAT TANAMAN KEDELAI(DYNAMIC MODEL OF AGROCLIMATIC SUITABILITY OF SOYBEAN) H. Supriyadi; Y. Koesmaryono; L.H. Sibuea
Agromet Vol. 21 No. 1 (2007): June 2007
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

The experiment aims to arrange of data-based of agroclimatic suitability for soybean, to arrange dynamic models for evaluation of suitability for soybean, and to evaluate agroclimatic suitability for soybean on computer. Secondary data of soybean yield and climate were collected from four locations of West Java as specific site targets, those were: Pusakanagara Subang, Cimanggu Bogor, Karangpawitan Garut, and Pasirsarongge Cianjur. Dynamic model has been developed as a tool to assess agroclimatic suitability of soybean which comprises the class, sub class, and sub-sub class level. The model provides information on land productivity, climatic constraint, stages of plant development that related to climate condition. Agroclimatic suitability is classified to five classes, i.e. S1 (very suitable), S2 (suitable), S3 (moderately suitable), S4 (not suitable), and S5 (very not suitable). Base on climate data of 2002, the models indicated that class of S1 were not found. While Cimanggu Bogor is classified as S2; Pusakanagara Subang and Karangpawitan Garut are classified as S3; and Pasirsarongge Cianjur is classified as S4.

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