Under the global warming, as typical arid region of Central Asia, Xinjiang Uygur Autonomous Region (Xinjiang) has been experienced remarkable warming and increased precipitation based on large previous studies. The semiarid ecosystem is very sensitive vulnerable to climate change water resource variations. However, sparse highly unevenly distributed in-situ stations in this provide limited data...

Karkheh basin is a flood-prone region in Iran that was severely affected by devastating river floods 2019. This study addressed some of the factors on this event and were emphasized government inquiry committee. These include strategic questions such as effect prior precipitation how dams could mitigate peak volume. well deficits rainfall data led to application Soil Water Assessment Tool model...

Water storage depletion is a worsening hydrological problem that limits agricultural production in especially arid/semi-arid regions across the globe. Quantifying water storage dynamics is critical for developing water resources management strategies that are sustainable and protective of the environment. This study uses GRACE (Gravity Recovery and Climate Experiment), GLDAS (Global Land Data A...

Soil moisture is a key part of Earth’s climate systems, including agricultural and hydrological cycles. Soil moisture data from satellite and numerical models is typically provided at a global scale with coarse spatial resolution, which is not enough for local and regional applications. In this study, a soil moisture downscaling model was developed using satellite-derived variables targeting Gl...

Multiple soil moisture products have been generated from data acquired by satellite. However, these satellite soil moisture products are not spatially or temporally complete, primarily due to track changes, radio-frequency interference, dense vegetation, and frozen soil. These deficiencies limit the application of soil moisture in land surface process simulation, climatic modeling, and global c...

Understanding the error structures of remotely sensed soil moisture observations is essential for correctly interpreting observed variations and trends in the data or assimilating them in hydrological or numerical weather prediction models. Nevertheless, a spatially coherent assessment of the quality of the various globally available datasets is often hampered by the limited availability over s...

Abstract Surface soil moisture (SSM) is a key factor for water and heat exchanges between land surface the atmosphere. It also important to resources, agriculture, ecosystems. In backdrop of global warming, SSM variations potential causes are not well-known at regional scales. Based on (SM) data from GLDAS-Noah 16 climate models (GCMs) selected 25 GCMs in CMIP5, we analyzed spatial distribution...