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首页|期刊导航|农业科学学报(英文)|Assimilation of temporal-spatial leaf area index into the CERES-Wheat model with ensemble Kalman filter and uncertainty assessment for improving winter wheat yield estimation

Assimilation of temporal-spatial leaf area index into the CERES-Wheat model with ensemble Kalman filter and uncertainty assessment for improving winter wheat yield estimation

LI He JIANG Zhi-wei CHEN Zhong-xin REN Jian-qiang LIU Bin Hasituya

农业科学学报(英文)2017,Vol.16Issue(10):2283-2299,17.
农业科学学报(英文)2017,Vol.16Issue(10):2283-2299,17.DOI:10.1016/S2095-3119(16)61351-5

Assimilation of temporal-spatial leaf area index into the CERES-Wheat model with ensemble Kalman filter and uncertainty assessment for improving winter wheat yield estimation

Assimilation of temporal-spatial leaf area index into the CERES-Wheat model with ensemble Kalman filter and uncertainty assessment for improving winter wheat yield estimation

LI He 1JIANG Zhi-wei 1CHEN Zhong-xin 2REN Jian-qiang 1LIU Bin 1Hasituya1

作者信息

  • 1. Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
  • 2. National Meteorological Information Center, China Meteorological Administration, Beijing 100081, P.R.China
  • 折叠

摘要

关键词

winter wheat yield estimates/crop model/data assimilation/ensemble Kalman filter/uncertainty/leaf area index

Key words

winter wheat yield estimates/crop model/data assimilation/ensemble Kalman filter/uncertainty/leaf area index

引用本文复制引用

LI He,JIANG Zhi-wei,CHEN Zhong-xin,REN Jian-qiang,LIU Bin,Hasituya..Assimilation of temporal-spatial leaf area index into the CERES-Wheat model with ensemble Kalman filter and uncertainty assessment for improving winter wheat yield estimation[J].农业科学学报(英文),2017,16(10):2283-2299,17.

基金项目

This work was supported by the National Natural Science Foundation of China (41401491, 41371396, 41301457, 41471364), the Introduction of International Advanced Ag-ricultural Science and Technology, Ministry of Agriculture, China (948 Program, 2016-X38), and the Agricultural Sci-entific Research Fund of Outstanding Talents and the Open Fund for the Key Laboratory of Agri-informatics, Ministry of Agriculture, China (2013009). (41401491, 41371396, 41301457, 41471364)

农业科学学报(英文)

OACSCDCSTPCDSCI

2095-3119

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