Evaluation of hydroclimatic variables for maize yield estimation using crop model and remotely sensed data assimilation
Evaluation of hydroclimatic variables for maize yield estimation using crop model and remotely sensed data assimilation
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DOI：
10.1007/s00477-019-01700-3
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发表时间：
2019-07
影响因子：
4.2
通讯作者：
Yu Zhongbo
中科院分区：
文献类型：
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作者：
Liu Di;Mishra Ashok K;Yu Zhongbo
We used the Decision Support System for Agro-technology Transfer-Cropping System Model (DSSAT) and data assimilation scheme (DSSAT-DA) to estimate maize (i.e., corn) yield and to evaluate the sensitivity of maize yield to hydroclimatic variables (i.e., precipitation, air temperatures, solar radiation, soil water). The remotely sensed soil moisture products, which includes Advanced Microwave Scanning Radiometer and the Soil Moisture and Ocean Salinity, were assimilated to DSSAT model by using the Ensemble Kalman Filtering approach. It was observed that both DSSAT and DSSAT-DA models can able to capture the annual trend of maize yield, although they overestimate the observed maize yield. The DSSAT-DA scheme assimilated with remotely sensed products slightly improves the model performance. The antecedent hydroclimatic information can influence the subsequent maize yield. The maize yield is sensitive to the soil water availability and precipitation amount, especially at the antecedent 1 month time to sowing and the subsequent second and third month’s growing period.
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影响因子：
11.6
作者：
Li, Tao;Hasegawa, Toshihiro;Bouman, Bas
通讯作者：
Bouman, Bas
影响因子：
30.7
作者：
Lobell, David B.;Hammer, Graeme L.;Schlenker, Wolfram
通讯作者：
Schlenker, Wolfram
DOI：
10.1007/978-94-017-3624-4_8
发表时间：
1998
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影响因子：
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作者：
James W. Jones;G. Tsuji;G. Hoogenboom;L. Hunt;P. Thornton;P. Wilkens;D. T. Imamura;W. Bowen
通讯作者：
James W. Jones;G. Tsuji;G. Hoogenboom;L. Hunt;P. Thornton;P. Wilkens;D. T. Imamura;W. Bowen
影响因子：
6.2
作者：
Curnel, Yannick;de Wit, Allard J. W.;Defourny, Pierre
通讯作者：
Defourny, Pierre
DOI：
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发表时间：
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期刊：
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影响因子：
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