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Interannual and Seasonal Variations of Coastal Heavy Rainbands in Sumatera and Borneo

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This study examines the interannual and seasonal variations of Coastal Heavy Rainbands (CHeRs) along the islands of Sumatera and Borneo, utilizing 9 years of GSMaP data and 14 years of TRMM datasets. The research analyzes correlations in precipitation data, highlighting significant findings such as an 88% correlation for interannual variations of CHeRs and 92% for large-scale precipitation. Seasonal variations also showed strong correlations, up to 98%. The results provide insights into precipitation dynamics influenced by climatic indices such as ENSO and IOD.

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Interannual and Seasonal Variations of Coastal Heavy Rainbands in Sumatera and Borneo

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  1. Interannual and Seasonal Variations of Coastal Heavy Rainbands (CHeRs) along Sumatera and Borneo Island Based on 9 Years GSMaPand 14 Years TRMM (3B43) Datasets

  2. Data Monthly Global Satellite Mapping of Precipitation (GSMaP) MWR dataset (1998-2006), with Spatial Resolution 0,25⁰ x 0,25⁰ (http://sharaku.eorc.jaxa.jp/GSMaP_crest/html/data.html) Monthly Tropical Rainfall Maesurement Mission (TRMM) 3B43 dataset (1998-2011) with Spatial Resolution 0,25⁰ x 0,25⁰ Monthly Nino 3.4 Index (5°North - 5 °South; 170°-120° West) dataset (1998-2006) (http://www.cpc.noaa.gov/data/indices) Monthly Dipole Mode Index (DMI) dataset (1998-2006) derived from NOAA OI SST data (http://www.jamstec.go.jp/frsgc/research/d1/iod/)

  3. Areas of Interest

  4. Precipitation : GSMaPvs TRMM Correlation : 88 % Correlation : 88 % Correlation : 96 % Correlation : 96 %

  5. Precipitation : GSMaPvs TRMM Correlation : 92 % Correlation : 92 % Correlation : 96 % Correlation : 96 %

  6. Interannual Variations

  7. Interannual Variations

  8. Interannual Variations

  9. Interannual Variations

  10. Monthly Average of Precipitation Correlation : 98 % Correlation : 95 % Correlation : 98 % Correlation : 97 %

  11. Seasonal Variations Composit graph for Precipitation vs ENSO over Sumatera • GSMaP • TRMM

  12. Seasonal Variations Composit graph for Precipitation vsIOD over Sumatera • GSMaP • TRMM

  13. Seasonal Variations Composit graph for Precipitation vs ENSO over Kalimantan • GSMaP • TRMM

  14. Seasonal Variations Composit graph for Precipitation vsIOD over Kalimantan • GSMaP • TRMM

  15. Continuous Wavelet Transform of Monthly Precipitation Average over Sumatera • GSMaP • TRMM

  16. Continuous Wavelet Transform of Monthly Precipitation Average over Kalimantan • GSMaP • TRMM

  17. EOF Plot of CHeRs over Sumatera • GSMaP • TRMM

  18. EOF Plot of Large Scale Precipitation over Sumatera • GSMaP • TRMM

  19. EOF Plot of CHeRs over Kalimantan • GSMaP • TRMM

  20. EOF Plot of Large Scale Precipitation over Sumatera • GSMaP • TRMM

  21. Ground-based Observation Data • Kalimantan : • Putusibau AWS Data (2009 – 2010) • Balikpapan AWS Data (2009 – 2011) • Sumatera : • Observation data from BMKG (1998 – 2001) • Sicincin • Padang Panjang • Bukit Tinggi • Maninjau • BatuSangkar

  22. Map of Observation Station Sumatera Kalimantan

  23. Comparision between Satellite Data and Observation Data Precipitation Over Sumatera

  24. Precipitation Over Kalimantan

  25. Conclusion • Correlation between TRMM dataset and GSMaP dataset for Interannual variation of CHeRs over Sumatera and Kalimantan are 88% and 92 % • Correlation between TRMM dataset and GSMaP dataset for Interannual variation of Large Scale Precipitation over both Sumatera and Kalimantan are 96% • Correlation between TRMM dataset and GSMaP dataset for Seasonal variation of CHeRs over Sumatera and Kalimantan are 98% and 95% • Correlation between TRMM dataset and GSMaP dataset for Seasonal variation of Large Scale Precipitation over Sumatera and Kalimantan are 98% and 97% • Both GSMaP dataset and TRMM dataset shown a significant signal at annual fluctuation for Precipitation (CHeRs and Large Scale) over Sumatera and Kalimantan

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