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Spatial Distribution of Calibrated WOFOST Parameters and Their Influence on the Performances of a Regional Yield Forecasting System

机译:校准WOFOST参数的空间分布及其对区域产量预报系统性能的影响

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摘要

We investigate in this study (i) a redefinition of crop variety zonations at a spatial scale of 10x10 km, and (ii) the influence of recalibrated crop parameters on regional yield forecasting of winter wheat and grain maize in western Europe. The baseline zonation and initial crop parameter set was derived from the operational European crop growth monitoring system (CGMS) which involves the agrometeorological model WOFOST. Air temperature data from 325 weather stations over the 1992-2007 period were used to define new zonations in a300 x 300 km test site. Two parameters which influenced mostly the phenological development stages (i.e. TSUM1 and TSUM2, the effective air temperature sums from emergence to anthesis, and from anthesis to maturity, respectively) were chosen and calibrated. The CGMS was finally run based on these new recalibrated parameters and simulated crop status indicators were compared with official statistics over the 2000-2007 period. Our results showed that the days of anthesis and maturity were simulated with coefficients of determination (R2) ranging from 0.22 to 0.87 for both crops over the study site. A qualitative assessment of maximum leaf areaindex and harvest index also revealed a more consistent spatial pattern than the initial zonation in the simulation results. Finally, recalibrated TSUM1 and TSUM2 led to improved relationships between official yield and simulated crop indicators (significant R2 in 17 out of 28 and in 14 out of 59 NUTS3 regions with respect to the best predictor for grain maize and winter wheat, respectively).
机译:我们在这项研究中调查(i)在10x10 km的空间尺度上重新定义作物品种分区,以及(ii)重新校准的作物参数对西欧冬小麦和谷物玉米的区域产量预报的影响。基线分区和初始作物参数集来自可操作的欧洲作物生长监测系统(CGMS),该系统涉及农业气象模型WOFOST。 1992-2007年期间来自325个气象站的气温数据用于定义300 x 300 km测试地点中的新分区。选择并校准了两个主要影响物候发育阶段的参数(即TSUM1和TSUM2,分别是从出苗到开花期的有效气温总和,从开花到成熟期的有效气温总和)。 CGMS最终基于这些新的重新校准参数运行,并将模拟的作物状态指标与2000-2007年期间的官方统计数据进行了比较。我们的结果表明,在研究地点,两种作物的花期和成熟天数的测定系数(R2)为0.22至0.87。对最大叶面积指数和收获指数的定性评估还显示,与模拟结果中的初始分区相比,空间格局更加一致。最后,重新校准的TSUM1和TSUM2改善了官方产量与模拟作物指标之间的关系(相对于谷物玉米和冬小麦的最佳预测指标,分别在28个中的17个和59个NUTS3中的14个中的R2显着)。

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