Targeted climate-smart irrigation advisory using integrated climate indicators

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dc.creatorKenduiywo, Benson
dc.creatorMwungu, Chris
dc.creatorWanjau, Agnes
dc.creatorTibebe, Degefie
dc.creatorKirwa, Lilian
dc.creatorMayanja, Brian
dc.creatorRose, Sabrina
dc.creatorGhosh, Aniruddha
dc.date2026-03-18
dc.date2026-03-18T12:36:28Z
dc.date2026-03-18T12:36:28Z
dc.date.accessioned2026-06-27T13:28:42Z
dc.descriptionIncreasing rainfall variability and rising temperatures are intensifying irrigation demand across western Kenya, particularly in smallholder systems in the Lake Victoria Basin. Yet many existing tools rely on single-variable indicators, limiting their usefulness for integrated and anticipatory decision support. This report develops a Compound Irrigation Advisory Index (CIAI) to support Targeted Climate-Smart Irrigation Advisory (T-CSIA) in Kisumu, Siaya and Homa Bay counties by combining a Precipitation-based Irrigation Advisory Index (PIAI) and a Temperature-based Irrigation Advisory Index (TIAI) derived from high-resolution daily CHIRPS precipitation (1981–2025; ~5 km) and CHIRTS temperature data. The PIAI integrates precipitation concentration, a length-of-growing-period proxy based on rainy days ≥5 mm, interannual variability (coefficient of variation) and long-term rainfall trends (Theil–Sen slope), while the TIAI captures temperature-driven irrigation stress using reference evapotranspiration (Hargreaves–Samani), climatic water deficit, evaporative imbalance (ET₀–P), aridity (PET/P), growing degree days and heat-stress days. Component indicators are normalised to a 0–1 risk scale and combined under a water-balance rationale, with seasonal probabilistic rainfall and temperature forecasts from ICPAC incorporated to generate forward-looking advisories with approximately one-month lead time. Results show strong spatial heterogeneity in irrigation need, with eastern Kisumu consistently emerging as a hotspot under both historical and forecast-integrated conditions, while Siaya generally exhibits lower relative stress and Homa Bay displays mixed moderate-to-high patterns. Forecast integration primarily intensifies historically vulnerable zones rather than shifting the geographic distribution of risk and high CIAI classes align with locations where farmers report practising irrigation; comparison with the Advanced Drought Response Index (ADRI) further indicates consistency with areas experiencing mild to moderate agricultural drought.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/182173
dc.identifier.urihttp://hdl.handle.net/123456789/60653
dc.languageen
dc.rightsOpen Access
dc.sourceKenduiywo, B.; Mwungu, C.; Wanjau, A.; Tibebe, D.; Kirwa, L.; Mayanja, B.; Rose, S.; Ghosh, A. (2026) Targeted climate-smart irrigation advisory using integrated climate indicators. 32 p.
dc.subjectadvisory services
dc.subjectirrigated farming
dc.titleTargeted climate-smart irrigation advisory using integrated climate indicators
dc.typeReport

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