Analyse des incertitudes des données globales utilisées pour l’estimation l’évapotranspiration potentielle : « Cas de la station météorologique du CRREBaC à l’Université de Kinshasa, en République démocratique du Congo »

Publication Date : 07/02/2026

Author(s) :

Landry Nzamipiele Nkaba, Exauce Longonya Omokende, Génie-Spirou Kiala Lutonadio, Augustin Likuku Likienge, Raphael Muamba Tshimanga.

Volume/Issue :

Volume 5

Issue 1

(02 - 2026)

Abstract :

The objective of this study is to evaluate the uncertainties associated with global datasets used to estimate potential evapotranspiration (PET), in order to better understand local hydrological dynamics and support sustainable water management. The data used include local climatic observations from the CRREBaC station (rainfall, temperature, humidity, solar radiation, wind) collected between 2022 and 2024, as well as global datasets such as CHIRPS, CRU, and FAO. Two methodological approaches were applied: the Penman-Monteith (FAO) and Hargreaves formulas. Calibration of certain parameters (albedo, emissivity, net radiation) was performed to improve the accuracy of the estimates. The results show good agreement between the methods and the reference data, with coefficients of determination (R²) exceeding 0.9. The comparative analysis confirms the robustness of the Penman-Monteith method for accurate assessments in the local context. It is recommended to strengthen local observation networks and to combine multiple data sources to refine future evapotranspiration estimates.