中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Exploring spatiotemporal patterns and physical controls of soil moisture at various spatial scales

文献类型:SCI/SSCI论文

作者Qiu J. X. ; Mo X. G. ; Liu S. X. ; Lin Z. H.
发表日期2014
关键词empirical orthogonal functions eco-hydrological model north china plain eof analysis crop yield land-use evapotranspiration variability prediction basin
英文摘要Soil moisture variability of various spatial scales is analyzed based on empirical orthogonal function (EOF) method using soil moisture datasets with various spatial resolutions: 1 km eco-hydrological model simulation, 0.25A degrees passive microwave (Advanced Microwave Scanning Radiometer for the Earth Observing System, AMSR-E) dataset, and 0.5A degrees land surface model simulation from Climate Predictor Center (CPC). All three datasets generate EOFs that explain similar variances with those generated from in situ observations from agro-meteorological network. Using AMSR-E product and eco-hydrological model simulation, it is found that the primary spatial pattern of soil moisture obtained from watershed scale has a strong connection to topographic attributes, followed by soil texture and rainfall variability, as suggested by the correlation between the primary EOF mode (EOF1) of soil moisture and landscape attributes. However, the EOF analysis of both AMSR-E and CPC datasets at regional scale reaches the conclusion that soil texture indices, such as sand and clay content, is of higher importance to soil moisture EOF1 spatial pattern (explaining 61 % variance) than topography is. Furthermore, correlation between soil moisture EOF1 and soil property is higher in spring than in autumn, which indicates that soil water-holding and drainage capabilities are more important under dry conditions. At national scale, the combined effects of topographic feature and soil property are clearly exhibited in EOF1. The study results reveal that different emphases should be placed on accurate acquisition of landscape attributes for soil moisture estimation according to various spatial scales.
出处Theoretical and Applied Climatology
118
1-2
159-171
收录类别SCI
语种英语
ISSN号0177-798X
源URL[http://ir.igsnrr.ac.cn/handle/311030/29641]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Qiu J. X.,Mo X. G.,Liu S. X.,et al. Exploring spatiotemporal patterns and physical controls of soil moisture at various spatial scales. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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