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Evaluation of Chirps Tropical Rainfall Estimates Using Automatic Weather Stations for Validation in West Sumatra, Indonesia Cover

Evaluation of Chirps Tropical Rainfall Estimates Using Automatic Weather Stations for Validation in West Sumatra, Indonesia

Open Access
|Mar 2026

Figures & Tables

Figure 1:

Research flow chart

Figure 2:

Comparison graph of daily rainfall data from AWS and CHIRPS

Figure 3:

Comparison graph of daily rainfall data from AWS and CHIRPS after bias correction

Figure 4:

Taylor diagram of corrected data

Results of validated CHIRPS rainfall data

ProductsMeanStandard DeviationCentred RMS Difference (cRMSD)Correlation Coefficient
AWS26.3450.090.001.00
CHIRPS RAW DATA12.0412.3944.390.55
LS26.3438.6431.410.78
LOCI25.7543.5630.390.80
EQM29.1850.3932.720.79

Satellite performance evaluation accuracy values

Statistical ParameterFormulaValue RangeDescription
POD POD=HH+M POD = {H \over {H + M}} ∼1The satellite detected most of the actual event.
FAR FAR=FH+F FAR = {F \over {H + F}} ∼0Satellites minimize false alarms.
CSI CSI=HH+M+F CSI = {H \over {H + M + F}} ∼1The satellite has good overall performance.

Satellite performance evaluation

Detection ClassificationMany data
POD0.9
FAR0.1
CSI0.8
DOI: https://doi.org/10.2478/cee-2026-0011 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
Language: English
Page range: 161 - 172
Submitted on: Jul 7, 2025
Accepted on: Aug 4, 2025
Published on: Mar 24, 2026
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Nurhamidah Nurhamidah, Tiara Assyifa Muthmainnah, Alfina Mursida Aljauhari, Ahmad Junaidi, Nor Aizam Adnan, Rafika Andari, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.