Problem
Research questions and friction points this paper is trying to address.
plant-available water
paddock-scale
water-limited grain systems
SoilWaterNow: Soil water nowcasting for mapping plant available water (PAW) across paddocks for improved on-farm decision-making
🤖 AI Summary
研究通过悉尼土壤水-能量平衡模型整合卫星、气候和土壤数据，估算作物蒸散量和根区土壤水分，以支持限水谷物系统的作物管理决策。
📝 Abstract
Timely, paddock-scale estimates of plant-available water (PAW) can support crop management in water-limited grain systems. We present the Sydney Soil Water-Energy Balance (SWEB) model, a scalable, physically consistent modelling framework that integrates satellite and climate data with soil properties to estimate crop evapotranspiration and root-zone soil moisture (RZSM) at daily, 30 m resolution. SWEB was validated nationally against different SM monitoring networks across Australia, which demonstrated robust performance across diverse grain-growing environments (correlation coefficients generally ranged from 0.70 to 0.85 for most regions). In future applications, mid-season PAW nowcasts could be combined with water-use-efficiency approaches to estimate water-limited yield potential and inform responsive management decisions, such as nitrogen fertiliser top-up recommendations.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Sydney Soil Water-Energy Balance
nowcasting
plant-available water
root-zone soil moisture
satellite and climate data integration
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