Assimilation of Leaf Area Index and Surface Soil Moisture With the CERES-Wheat Model for Winter Wheat Yield Estimation Using a Particle Filter Algorithm

Assimilation of Leaf Area Index and Surface Soil Moisture With the CERES-Wheat Model for Winter Wheat Yield Estimation Using a Particle Filter Algorithm
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用 CERES-小麦模型同化叶面积指数和表层土壤湿度,利用粒子滤波算法估算冬小麦产量

DOI:
10.1109/jstars.2016.2628809
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发表时间:
2017-04
影响因子:
5.5
通讯作者:
Li Li
Li Li
中科院分区:
工程技术3区
文献类型:
--
作者:
Xie Yi;Wang Pengxin;Sun Huitao;Zhang Shuyu;Li Li

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为了提高关中平原冬小麦产量的估算精度,利用田间实测的叶面积指数(LAI)和0-20 cm土壤水分(θ)同化CERES小麦模型(CERES-Wheat)模拟的LAI和θ,并与实测的土壤水分进行比较,结果表明:
To improve winter wheat yield estimates in the Guanzhong Plain, China, the daily leaf area index (LAI) and soil moisture at depths of 0–20 cm (θ) simulated by CERES-Wheat model were assimilated from field-measured LAI and θ</itali
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