VALIDATION OF TROPICAL RAINFALL MEASURING MISSION (TRMM) DATA IN THE UPPER KAPUAS RIVER BASIN

  • Stefanus Barlian Soeryamassoeka Civil Engineering Department, Tanjungpura University, Pontianak, Indonesia
  • Robertus Wahyudi Triweko Civil Engineering Department, Parahyangan Catholic University, Bandung, Indonesia
  • Doddi Yudianto Civil Engineering Department, Parahyangan Catholic University, Bandung, Indonesia
Keywords: Validation TRMM, Kapuas River

Abstract

Rainfall is a difficult parameter to measure, due to large spatial and temporal variations. Lack of data availability, data incompletely, less spreading of station, less observer, and manual data entry are other problems for rainfall predicting.  To encourage these problems rainfall satellite can be used, because it has high temporal and spatial resolution, widely coverage, near real-time and fast accessibility. This research was conducted in the upper Kapuas River  Basin, West Kalimantan, to determine how TRMM satellite-derived rainfall compares with ground-measured values and the possibility of using it to complement ground-measured rainfall. The statistical analyses and correction factor development for TRMM data are conducted to validate and correct the TRMM data on eleven sub basin in Kapuas River basin. Validation showed high correlation between TRMM and gauge data. Validation shows a high correlation and lowest RMSE between TRMM and gauge data in the sub basin adjacent to the gauge station (r= 0.76-0.8, RMSE 0,84-0,92). The results of the analysis also show that after correction, the corrected TRMM data errors were reduced for the eleven rainfall.

References

Wu, Z.; Chenyi, Y.; Qingyun, Z; Yueqian, C. (2018). Evaluation of the Validation of TRMM data over the Region of Qilianshan Mountain in Northwest China. Proc. SPIE 10776, Remote Sensing of the Atmosphere, Clouds, and Precipitation VII, 107760T (24 October 2018)

Wijaya, O.T., Wanny, K.A., Bambang, A.R., Doddi, Y., Anri, N.A.R., and Reva, A.M., 2018. Application of TRMM for Runoff Prediction in Ungauged Basin, Case Study: Nanjung Catchment. 21st IAHR-APD 2018 Yogyakarta.

Mamenun, H., Pawitan, dan A., Sophaheluwakan. (2014). Validasi Dan Koreksi Data Satelit TRMM Pada Tiga Pola Hujan Di Indonesia. Jurnal Meteorologi dan Geofisika Vol. 15 no. 1 Tahun 2014 : 13-23.

https://doi.org/10.31172/jmg.v15i1.169

Vernimmen, R., R., E., A., Hooijer, Mamenun, E,. Aldrian, dan A. I. J. M. van Dijk. (2012). Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia. Hydrol. Earth Syst. Sci., 16, 133-146. Published by Copernicus Publications on behalf of the European Geosciences Union.

https://doi.org/10.5194/hess-16-133-2012

Asuero, A. G., A. Sayago, and A. G. González. 2006. The Correlation Coefficient: An Overview. Critical Reviews in Analytical Chemistry 36 (1): 41-59.

https://doi.org/10.1080/10408340500526766

Hyndman, Rob J.; Koehler, Anne B. (2006). "Another look at measures of forecast accuracy". International Journal of Forecasting. 22 (4): 679-688. CiteSeerX 10.1.1.154.9771.

https://doi.org/10.1016/j.ijforecast.2006.03.001

Chai, T., and R. R. Draxler. 2014. "Root Mean Square Error (RMSE) or Mean Absolute Error (MAE)? -Arguments against Avoiding RMSE in the Literature." Geoscientific Model Development 7 (3): 1247-50.

https://doi.org/10.5194/gmd-7-1247-2014

Tjasjono, B. (2004). Klimatologi Umum. Penerbit ITB Bandung.

Aldrian, E, and R.D., Susanto. (2003). Identification of Three Dominant Rainfall Regions Within Indonesia and Their Relationship to Sea Surface Temperature, Int. J. Climatol, Vol. 23, No. 12, page: 1435-1452.

https://doi.org/10.1002/joc.950

Aldrian., E. (2003). Simulations of Indonesian Rainfall with a Hierarchy of Climate Models.

Published
2020-09-30
How to Cite
Barlian Soeryamassoeka, S. B. S., Wahyudi Triweko, R., & Yudianto, D. (2020). VALIDATION OF TROPICAL RAINFALL MEASURING MISSION (TRMM) DATA IN THE UPPER KAPUAS RIVER BASIN. Journal of Civil Engineering, Science and Technology, 11(2), 125-131. https://doi.org/10.33736/jcest.2618.2020