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Research Article Open access CC BY 4.0

Zone-Wise Estimation and Spatio-temporal Variability of Potential Evapotranspiration in Maharashtra Using the Thornthwaite Method

Parveen Kumar, P.R. Jaybhaye, Suresh, Yogesh Rajrana, Meenakshi Devi, Ronak Singh, Surendra Singh Shekhawat

International Journal of Environment and Climate Change · pp. 292–299 · Published 13 Jan 2026

10.9734/ijecc/2026/v16i15232

Abstract

Potential evapotranspiration (PET) is a fundamental parameter of the hydrological cycle, reflecting atmospheric water demand and serving as a critical input for irrigation planning, drought assessment, and climate change impact studies. This study evaluates the zone-wise estimation and spatial variability of PET across nine agro-climatic zones of Maharashtra, India, over the period 1991–2020, using the Thornthwaite method. Long-term daily temperature data were utilized to calculate PET, and annual and inter-annual variations were assessed to capture spatial heterogeneity and temporal dynamics. Results indicate substantial spatial variability, with mean daily PET ranging from 3.75 mm day⁻¹ in the Western Maharashtra Plain to 5.70 mm day⁻¹ in Central Vidarbha, highlighting higher atmospheric water demand in semi-arid inland regions and lower demand in the Western Ghats and Konkan coastal areas. Temporal analysis revealed moderate inter-annual fluctuations, with PET peaks corresponding to drought-prone and high-temperature years, reflecting sensitivity to regional climatic variability. These findings are consistent with observed patterns in semi-arid and humid regions reported in prior studies. The study demonstrates the suitability of the Thornthwaite method for long-term, large-scale PET estimation in data-scarce regions and provides zone-specific insights for targeted irrigation scheduling, water resource management, and climate-resilient agricultural planning in Maharashtra.

Potential evapotranspiration Thornthwaite method agro-climatic zones Maharashtra spatial variability climate variability irrigation planning

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