基于多源数据融合的农产品气候品质评价模型研究  

Evaluation Model of Climate-Related Quality Agricultural Products Based on Multi-source Fusion Data

作　　者：范晓青[1] 李艳[1] 柳晓庆 李战超 胡玥明 申彦波[1] 赵嵘[1] FAN Xiaoqing;LI Yan;LIU Xiaoqing;LI Zhanchao;HU Yueming;SHEN Yanbo;ZHAO Rong(Public Meteorological Service Center,China Meteorological Administration,Beijing 100081,China;Xinjiang Agriculture Network Information Centre/Xinjiang Agro-Meteorological Observatory,Urumqi 830002,China)

机构地区：[1]中国气象局公共气象服务中心,北京100081 [2]新疆兴农网信息中心/新疆农业气象台,新疆乌鲁木齐830002

出　　处：《沙漠与绿洲气象》2024年第5期153-159,共7页Desert and Oasis Meteorology

摘　　要：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,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,同时可解决无观测资料地区农产品气候品质评价问题。This study used Maigaiti gray jujube of Xinjiang as an example,and 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 climaterelated quality of agricultural products based on multi-source data fusion is explained,The results show 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.

关 键 词：气候品质评价 多源数据融合 麦盖提 灰枣 

分 类 号：P49[天文地球—大气科学及气象学]