Statistical evaluation of satellite-based CHIRPS precipitation data averaged over the midland and highland regions of Kidangoor sub-catchment, Kerala

Authors

  • DEEPA VARGHESE G. S. Asst. Professor, Civil Engineering Department, School of Engineering & IT, Manipal Academy of Higher Education, Dubai Academic City, Dubai, Pin: 345050. UAE.
  • MOHANDAS CHADAGA Professor, Department of Civil Engineering, Manipal Institute of Technology,Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
  • LATHASHRI U A Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka
  • SURUMI RASIA SALIM Asst. Professor, Civil Engineering Department, School of Engineering & IT, Manipal Academy of Higher Education, Dubai Academic City, Dubai, Pin: 345050. UAE.
  • ROOPALI SHANTHA PAI Student, Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education,Manipal 576 104,Karnataka, India

DOI:

https://doi.org/10.54302/mausam.v75i2.6189

Keywords:

Box and whisker plots, CHIRPS, Homogeneity test, Statistical performance

Abstract

The steep topographical setting of Kerala, traversing from Western Ghats in the east to the sandy beaches on the west, demands the use of precipitation data at a very fine spatio-temporal resolution for a range of hydrological and hydrometeorological studies. The limitation of the existing rain gauge network data in representing the variability in the monsoon showers received, across the physiographic divisions of the state, could be overcome using satellite rainfall dataset offered at a finer resolution.  In this paper, a statistical evaluation of the satellite derived CHIRPS (Climate Hazards Group Infrared Precipitation with Stations) precipitation data for the Kidangoor sub-catchment was performed by comparing it with station rainfall data and IMD gridded data sets. The homogeneity test at 95 % confidence level classified the station data under ‘useful’ category. Additionally, the statistical performance matrices suggested that the CHIRPS data slightly underestimated the observed station rainfall data. However, the coefficient of determination R2 values (0.95-0.97) in the monthly series and (0.37 - 0.64) in the annual series demonstrated a strong to moderate positive correlation between the datasets. To summarize, the quantitative statistical performance matrices, evaluated for the first time in the study area, proposed that the CHIRPS rainfall estimates could very well reproduce the ground-based monthly rainfall datasets and could also serve as a good replacement for IMD gridded data.

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Published

01-04-2024

How to Cite

[1]
D. VARGHESE G. S., M. CHADAGA, L. U A, S. R. SALIM, and R. S. PAI, “Statistical evaluation of satellite-based CHIRPS precipitation data averaged over the midland and highland regions of Kidangoor sub-catchment, Kerala”, MAUSAM, vol. 75, no. 2, pp. 515–528, Apr. 2024.

Issue

Section

Research Papers