The Spatial-Temporal Characteristics of Soil Moisture and Its Persistence over Australia in the Last 20 Years

• Published in: Water (Basel) 2022-02, Vol.14 (4), p.598
• Main Authors: Cai, Jiangtao, Chen, Tiexi, Yan, Qingyun, Chen, Xin, Guo, Renjie
• Format: Article
• Language: English
• Subjects: Annual variations; Artesian basins; Artesian wells; Climate change; Coastal zone; Coefficient of variation; Correlation coefficient; Correlation coefficients; Datasets; Hydrology; Moisture content; Precipitation; Remote sensing; Satellites; Soil moisture; Soil surfaces; Time series; Vegetation
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w14040598

Persistence is an important feature of soil moisture, which affects many important processes such as land–air interaction and ecohydrological processes. Soil moisture datasets from reanalysis, remote-sensing observations and land surface models have been widely used in various ecohydrological studies, however, due to the complexity of hydrological processes, the essential features of soil moisture such as spatial-temporal characteristics and persistence still need to be further quantified. This study focused on the Australia region and used in situ observation from fourteen International Soil Moisture Network sites to evaluate soil moisture from six gridded products, including satellite remote-sensing records (ESA CCI), output of reanalysis (ERA5-Land) and land surface models (GLDAS and GLEAM). High correlation coefficients between observations and the other soil moisture datasets were gotten. Regional averaged inter-annual variations of soil moisture were relatively large with some dry periods (2002–2010, 2013–2016) and wet periods (2011–2012) indicated by these gridded products. General coherent spatial patterns were found in long-term soil moisture with large differences in the lateral inflow area of the Great Artesian Basin. The coefficient of variation of these soil moisture datasets generally decreased from northwest to southeast, but the enhanced vegetation index coefficient of variation was larger in the southwest corner, northeast (non-coastal areas) and the lateral inflow area. Persistence calculated from various soil moisture datasets had quite large differences compared with measurements. Meanwhile, little coherence was gotten among different surface soil moisture datasets, the persistence of deep soil moisture seemed to be significantly overestimated. Therefore, models still need to improve the temporal characteristics with the persistence rather than the correlation coefficient.