| 基于多源数据融合的农产品气候品质评价模型研究 |
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| 引用本文： | 范晓青,李艳,柳晓庆,李战超,胡玥明,申彦波,赵嵘.基于多源数据融合的农产品气候品质评价模型研究[J].新疆气象,2024,18(5). |
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| 作者姓名： | 范晓青 李艳 柳晓庆 李战超 胡玥明 申彦波 赵嵘 |
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| 作者单位： | 中国气象局公共气象服务中心,中国气象局公共气象服务中心,中国气象局公共气象服务中心,新疆兴农网信息中心,中国气象局公共气象服务中心,中国气象局公共气象服务中心,中国气象局公共气象服务中心 |
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| 摘 要： | 本文以新疆麦盖提灰枣为例，在基于气象观测资料开展气候品质评价的基础上，将FY-4A卫星遥感数据、高分辨率多源融合实况格点产品(ART-1km、CLDAS-V2.0、Laps)应用于农产品气候品质评价，研制了点面结合的网格化农产品气候品质评价模型,阐述了基于多源数据融合的农产品气候品质评价方法。结果表明，通过该方法可明显提高农产品气候品质评价结论的可靠性和精细化程度，同时也可解决无观测资料地区农产品气候品质评价问题。
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| 关 键 词： | 气候品质评价 多源数据融合 |
| 收稿时间： | 2024/1/4 0:00:00 |
| 修稿时间： | 2024/5/13 0:00:00 |
Research on Evaluation Model of Climate-Related Quality Agricultural Products Based on Multi-source Fusion Data |
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| FAN Xiaoqing,LI Yan,LIU Xiaoqing,Li Zhanchao,HU Yueming,SHEN Yanbo and Zhao Rong.Research on Evaluation Model of Climate-Related Quality Agricultural Products Based on Multi-source Fusion Data[J].Bimonthly of Xinjiang Meteorology,2024,18(5). |
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| Authors: | FAN Xiaoqing LI Yan LIU Xiaoqing Li Zhanchao HU Yueming SHEN Yanbo and Zhao Rong |
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| Institution: | Public Meteorological Service Center,China Meteorological Administration,Public Meteorological Service Center,China Meteorological Administration,Public Meteorological Service Center,China Meteorological Administration,Information Centre of Xinljiang Xingnong Net,Public Meteorological Service Center,China Meteorological Administration,Public Meteorological Service Center,China Meteorological Administration,Public Meteorological Service Center,China Meteorological Administration |
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| Abstract: | This study used Maigaiti gray jujube of Xinjiang as an example, improved traditional climate quality evaluation method, through integrating FY-4A satellite remote sensing data and high-resolution multi-source fusion grid meteorological data (ART-1km, CLDAS-v2.0, Laps). A grid-based model for evaluating the climate-related quality of agricultural products, combining observations from meteorological station and regional grid data, has been developed. The method of evaluating the climate-related quality of agricultural products based on multi-source data fusion is explained, The results showed that this method can improve the reliability and resolution of the conclusion of climate quality evaluation of agricultural products. And can also solve the problem of climate related quality evaluation of agricultural products in areas without observational data. |
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| Keywords: | climate-related quality evaluation of agricultural products Multi source fusion grid meteorological data |
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