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基于CLDAS土壤湿度产品的自动土壤水分数据质量控制技术的研究

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为了全面、及时掌握青海省空间区域土壤水分动态状况,文章从相关系数、均方根误差两个指标对比分析青海省 2021-2022 年卫星遥感资料反演为主的陆面同化CLDAS土壤湿度与自动土壤湿度站资料。结果表明,CLDAS土壤湿度与自动土壤水分站监测的数据之间具有较好的相关性,各站点相关数据均稳定通过0。01 水平的显著性检验;大部分站点均方根误差在合理范围内。总体来看,CLDAS土壤湿度资料在时空领域可以弥补青海部分地区自动站较少的问题,对全省土壤墒情监测预估和土壤干旱等级评价等农业气象服务具有重要的参考价值。
Research on Quality Control Technology of Automatic Soil Moisture Data Based on CLDAS Soil Moisture Product
To comprehensively and timely grasp the dynamic status of soil moisture in the spatial region of Qinghai Province,this paper compared and analyzed the soil moisture and automatic soil moisture station data of land surface assimilation CLDAS based on the inversion of satellite remote sensing data from 2021 to 2022 from the correlation coefficient and root mean square error in Qinghai Province.The results showed that there had been a good correlation between CLDAS soil moisture and the data that was monitored by the automatic soil moisture station,and the relevant data of each station had passed the significance test at the 0.01 level.The root mean square error of most stations was within a reasonable range.In general,the CLDAS soil moisture data could make up for the lack of automatic stations in some areas of Qinghai in the spatio-temporal field,and had important reference value for agrometeorological services such as soil moisture monitoring and prediction and soil drought grade evaluation in the province.

CLDASAutomatic soil moistureQuality control

喇玉先、张烜宇、郭燕、肖莲桂

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青海省气象信息中心,西宁 810001

CLDAS 自动土壤水分 质量控制

2024

青海科技
青海省科学技术厅

青海科技

影响因子:0.052
ISSN:1005-9393
年,卷(期):2024.31(4)