Geophysical Research Letters · 2008 · 332 citations · 29 references
Natural ResourcesEarth SciencesHydrologyClimatologyHydrologic ModelingWater Balance StudiesAgricultural Water DemandIrrigationWater Balance ModelingWater CycleWater ManagementWater Requirement EstimationClimate-based Water Requirement EstimationClimate-driven VariabilityInterannual Variability AnalysisIrrigation Demand AnalysisIrrigation UncertaintyIrrigation Water DemandIrrigation Water Requirement EstimationWeather Data Analysis
Agricultural water use accounts for around 70% of the total water that is withdrawn from surface water and groundwater. We use a new, gridded, global‐scale water balance model to estimate interannual variability in global irrigation water demand arising from climate data sets and uncertainties arising from agricultural and climate data sets. We used contemporary maps of irrigation and crop distribution, and so do not account for variability or trends in irrigation area or cropping. We used two different global maps of irrigation and two different reconstructions of daily weather 1963–2002. Simulated global irrigation water demand varied by ∼30%, depending on irrigation map or weather data. The combined effect of irrigation map and weather data generated a global irrigation water use range of 2200 to 3800 km 3 a −1 . Weather driven variability in global irrigation was generally less than ±300 km 3 a −1 , globally (<∼10%), but could be as large as ±70% at the national scale.
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The NCEP/NCAR 40-Year Reanalysis Project
Eugenia Kalnay, Masao Kanamitsu, Robert Kistler et al. · Bulletin of the American Meteorological Society · 1996 · 29.1K citations
Global modeling of irrigation water requirements
Petra Döll, Stefan Siebert · Water Resources Research · 2002 · 843 citations · Full text