成都信息工程大学 资源环境学院,四川,成都,610225
纸质出版:2021
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卢晨媛, 冯文兰, 王永前, 等. 不同深度土壤水分同化产品在川西高原的应用[J]. 水土保持通报, 2021,41(1):173-181.
Lu Chenyuan, FENG Wenlan, Wang Yongqian, et al. Application of Soil Moisture Assimilation Products at Different Depths in Western Sichuan Plateau[J]. Bulletin of Soiland Water Conservation, 2021, 41(1): 173-181.
卢晨媛, 冯文兰, 王永前, 等. 不同深度土壤水分同化产品在川西高原的应用[J]. 水土保持通报, 2021,41(1):173-181. DOI: 10.13961/j.cnki.stbctb.2021.01.025.
Lu Chenyuan, FENG Wenlan, Wang Yongqian, et al. Application of Soil Moisture Assimilation Products at Different Depths in Western Sichuan Plateau[J]. Bulletin of Soiland Water Conservation, 2021, 41(1): 173-181. DOI: 10.13961/j.cnki.stbctb.2021.01.025.
[目的] 评估不同深度土壤水分同化产品的适用性,为川西高原有关气候变化、生态环境建设等研究提供土壤水分数据选择的科学依据。[方法] 以气象自动观测站的土壤水分值作为参考,评价了中国气象局陆面同化系统CLDAS-V 2.0和全球陆面同化系统GLDAS-Noah土壤水分产品在川西高原的精度,并分析了土壤水分产品对降水过程的反应以及降水对土壤水分产品精度的影响。[结果] ①GLDAS和CLDAS数据均与参考值具有极显著的相关性(p<0.01),GLDAS数据与参考值的相关性整体好于CLDAS数据;②2套土壤水分产品在研究区表层和浅层的误差均较小,其中,表层土壤水分的误差大于浅层,GLDAS数据的误差小于CLDAS数据。两套数据都存在对土壤水分的高估,且在无降水情况下对土壤水分的高估比有降水的情况更突出;③2套数据在表层和浅层都表现出与降水一致的变化过程,且土壤水分的变化均滞后于降水量的变化,GLDAS数据对降水变化的反应比CLDAS数据更加灵敏,但CLDAS数据因具有较高的空间分辨率而对川西高原土壤水分的空间分异特征表现得更好。[结论] 两套土壤水分产品表层和浅层数据在川西地区的适用性都较好,GLDAS数据质量总体较CLDAS数据更好,但CLDAS数据在对土壤水分空间分异的表现方面更具优势。
[Objective] The applicability of soil water assimilation products at different depths was evaluated to provide a scientific basis for the selection of soil water data for studies on climate change and ecological environment construction in the Western Sichuan Plateau.[Methods] Taking the soil moisture value of the automatic meteorological observation station as a reference
the accuracy of the soil moisture products of CMA land data surface assimilation system (CLDAS-V 2.0) and global land data surface assimilation system (GLDAS-Noah) in the Western Sichuan Plateau was evaluated and the response of soil moisture products to the precipitation process and the effect of precipitation on the soil were analyzed.[Results] ① GLDAS and CLDAS data had an extremely significant correlation with the reference value (p<0.01)
and the correlation between the GLDAS data and reference value was generally better than that of the CLDAS data. ② The errors of two sets of soil moisture products in the surface and shallow layers of the study area were small. The error of surface soil moisture was greater than that of the shallow layer
and the error of the GLDAS data was smaller than that of CLDAS data. Both sets of data overestimated soil moisture and the overestimation of soil moisture in the case of no precipitation was more prominent than that in the case of precipitation. ③ The two sets of data showed the same change process as precipitation in the surface layer and shallow layer
and the change in soil moisture lagged behind the change in precipitation. The response of the GLDAS data to precipitation change was more sensitive than that of the CLDAS data
but the CLDAS data had better spatial resolution than the CLDAS data in the spatial distribution characteristics of soil moisture in the Western Sichuan Plateau.[Conclusion] The applicability of the two sets of soil moisture products in surface and shallow layers in Western Sichuan Plateau is good. The quality of GLDAS data is generally better than that of CLDAS data
but CLDAS data have more advantages in the performance of spatial differentiation of soil moisture.
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