Soil moisture is a key indicator of agricultural and hydrological drought, but its meteorological controls vary across temporal scales. Using ESA CCI soil moisture products from 2010 to 2022, this study investigated soil moisture variability in the Yangtze River Basin at weekly, monthly, and annual scales. The product was first validated using ground observations and ERA5 reanalysis data, and a generalized additive model (GAM) was then applied to quantify the relative contributions of precipitation, temperature, wind speed, and VPD under normal conditions and during three extreme drought events. The validation showed that ESA CCI soil moisture captured basin-scale variations well, with mean absolute deviations of 0.0460, 0.0434, and 0.0072 m3/m3 in the upper, middle, and lower reaches, respectively, and a basin-wide RMSE of 0.0127 m3/m3 against ERA5. The attribution results revealed a clear scale-dependent shift in soil moisture controls. At the weekly scale, VPD dominated soil moisture variability, with a basin-wide average contribution of 47.04% and a maximum contribution of 55.92% in the lower reaches, indicating that short-term soil drying is mainly driven by VPD. At the monthly scale, precipitation became the primary control, with a basin-wide average contribution of 36.62% and a maximum contribution of 44.65% in the upper reaches, reflecting the role of accumulated rainfall recharge in maintaining soil moisture storage. During extreme drought events, the monthly-scale dominance of precipitation weakened, and precipitation, VPD, temperature, and wind speed each contributed approximately 20–30%, suggesting that drought development results from the combined effects of reduced water input and enhanced atmospheric water loss. These findings indicate that precipitation-based drought monitoring may underestimate rapid soil drying risks, whereas incorporating atmospheric demand indicators such as VPD can improve drought early warning and water resource management under a warming climate.
Drought has intensified across the Mekong River Basin (MRB) due to climate variability and increasing human interventions, creating substantial risks for water resources and agriculture. This study applied the SWAT model to simulate hydrological processes and evaluate meteorological, agricultural, and hydrological drou...
Anh Nguyen Quoc, Thi-Thu-Ha Nguyen, Phong Nguyen Thanh et al.· Vietnam Journal of Earth Sci...· 0 citations
This study investigates hydroclimatic variability and water balance dynamics in the Akmola region during 2003–2023 using observations from 16 meteorological stations. The study evaluates changes in air temperature, precipitation, reference evapotranspiration (ET0), climatic water balance, and drought conditions. Refere...
Raikhan Beisenova, Ainur Orkeyeva, A. Rakhmetova et al.· Resources· 0 citations
Climate change affects water resources in semi-arid basins by altering precipitation, land surface temperature (LST), evapotranspiration, and surface-water persistence. This study assessed hydroclimatic variability in the Lower Zab River Basin (LZRB), Iraq, during 2000–2021 using satellite and reanalysis datasets pro...
A. Al-lami, Y. Al-Timimi, A. Al-Salihi· Water Practice & Technol...· 0 citations
Tajikistan is highly vulnerable to climate change and depends heavily on agriculture, making soil moisture dynamics critical for water and food security. This study provides a comprehensive assessment of soil moisture variability across four depth layers (0–10 cm, 10–40 cm, 40–100 cm, and 100–200 cm) from 2000 to 2021...
N. Gulahmadov, Ya-Ning Chen, Manuchekhr Gulakhmadov et al.· Water· 0 citations
This study used time series data from 1980 to 2022 to investigate spatiotemporal changes and trends of precipitation, temperature, and evapotranspiration in Muger sub-basin. The coefficient of variation (CV), precipitation concentration index (PCI), and seasonality index (SAI) were used to assess variability, while...
Bayisa Gedafa Kankure, W. Dibaba, T. A. Demissie· Discover Sustainability· 0 citations
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