PEMETAAN ZONA AGROKLIMAT SCHMIDT FERGUSON MENGGUNAKAN DATA STASIUN PENGAMAT HUJAN DAN PRODUK DATA SATELIT IMERG DI PROVINSI BALI

  • Wahyu Widodo Putranto Badan Meteorologi Klimatologi dan Geofisika, Stasiun Klimatologi Jembrana – Bali
  • I Wayan Nuarsa Fakultas Pertanian Universitas Udayana, Badung – Bali
  • Ni Luh Kartini Fakultas Pertanian Universitas Udayana, Badung – Bali
  • I Wayan Andi Yuda Badan Meteorologi Klimatologi dan Geofisika, Stasiun Klimatologi Jembrana – Bali
  • I Made Dwi Wiratmaja Badan Meteorologi Klimatologi dan Geofisika, Stasiun Klimatologi Jembrana – Bali

Abstract

Schmidt Ferguson map based on rainfall data is utilized to maximize agricultural potential by knowing the spatial pattern of agro-climatic zones. This study aims to produce Schmidt Ferguson agro-climatic zone by corrected IMERG Satellite rainfall data by station base data in Bali Province. The length of monthly rainfall data from each source is six years (2015 – 2016). Initially, IMERG Final Precipitation data level 3 is validated to 73 rainfall observation stations over Bali. Statistical methods used for this purpose are correlation coefficient (r), Root Mean Square Error (RMSE) and paired t-test. The validation results show a good correlation value of 0.62 – 0.93, RMSE value of 63.33 – 208.86 mm, the results of the paired t-test there are significant. Hereinafter, IMERG data are corrected by simple linear regression equation y = 0.905x + 4.0979 with an R2 value of 0.5878. The Schmidt Ferguson agro-climatic zone mapping from rain observation station data resulted in 5 climate zones, namely climate zone B, C, D, E, and F and from IMERG product data, 4 climate zones, namely climate zone B, C, D, and E.


Keywords: Observation; IMERG;Data Validation; Schmidt Ferguson Agroclimate Zone

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Published
2022-12-06
How to Cite
PUTRANTO, Wahyu Widodo et al. PEMETAAN ZONA AGROKLIMAT SCHMIDT FERGUSON MENGGUNAKAN DATA STASIUN PENGAMAT HUJAN DAN PRODUK DATA SATELIT IMERG DI PROVINSI BALI. ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science), [S.l.], v. 16, n. 2, p. 244-253, dec. 2022. ISSN 2503-3395. Available at: <https://ojs.unud.ac.id/index.php/ecotrophic/article/view/86203>. Date accessed: 29 mar. 2024. doi: https://doi.org/10.24843/EJES.2022.v16.i02.p11.
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Articles