Climate regionalization for main production areas of Indonesia: Case study of West Java

3rd International Symposium on LAPAN-IPB Satellite For Food Security and Environmental Monitoring 2016

地球科学;轻工业;生态环境科学

Perdinan^1,2,3 ; Adi, Ryco Farysca^2,3 ; Sugiarto, Yon^1,3 ; Arifah, Annisa^1 ; Arini, Enggar Yustisi^3 ; Atmaja, Tri^2,3

Department of Geophysics and Meteorology, Bogor Agricultural University, Gedung FMIPA Kampus IPB, Jalan Meranti Wing 19, Bogor, Babakan, Dramaga, Jawa Barat

16680, Indonesia^1

PIAREA, Perumahan Griya Melati Blok C3 No.21/22 Bubulak Arah Cifor, Bogor Barat, Kota Bogor, Indonesia^2

Generasi Hijau Indonesia, Desa Tegalwaru No.13, Ciampea, Kabupaten Bogor, Indonesia^3

关键词: Climate condition;    Climate stations;    Climate variability;    Crop production;    Regionalization techniques;    Satellite observations;    Spatial rainfall variabilities;    Spatial variability;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/54/1/012031/pdf
DOI  :  10.1088/1755-1315/54/1/012031

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Spatially, climate condition is vary within a region and considered as essential information for planning activities such as agro-climate zonation. An approach to understand the spatial climate variability is the utilization of climate regionalization that is applied to rainfall data to distinguish differences in the pattern and magnitude (characteristics) of spatial rainfall variability over a region. Unfortunately, the application of climate regionalization poses a challenging issue in Indonesia, considering the availability of climate data. Recent advances in satellite and reanalysis data measuring climate variability over a large area provided an opportunity for the application of climate regionalization in the country. Using the West Java, one of main crop production regions in Indonesia, climate regionalization techniques were applied to map spatial variability of climate types based on rainfall data recorded by climate stations (point based analysis) and estimated by modeled/reanalysis data and satellite observations (gridded data). The regionalization derived from gridded rainfall data have reasonably better in capturing the zonal pattern of differences in climate types within the study region than the regionalization applied to insufficient numbers of site-based rainfall observation. This indicates that the gridded data offers an alternative for climate regionalization, when site-based observations are unavailable or limited.