Multi-Sensor Data Assimilation for Global Soil Moisture Estimation Using the Local Ensemble Transform Kalman Filter

The Role of Assimilating Deep Learning‐Enhanced AMSR‐E/2 Observations in European Soil Moisture Reanalysis

This study assimilates a newly developed Deep Learning‐enhanced AMSR‐E/2 soil moisture data set that provides a seamless daily record from 2003 to 2023 by reducing retrieval artifacts while preserving spatiotemporal consistency, and demonstrates that observation pre‐processing is essential for effective soil moisture d...

Sentinel-1 SAR and Temporal Lag Soil Moisture Estimation at Instrumented Field Sites: A Stacked Ensemble Approach

Field-scale soil moisture (SM) estimation from Sentinel-1 C-band SAR alone is challenged by vegetation, roughness, and spatial heterogeneity. This study proposes a Stacked Additive Boosting-based Model (SABM) that combines Sentinel-1 SAR, Sentinel-2 optical, and ancillary geophysical features with temporal lag SM featu...

ESA CCI 0.1 degree soil moisture: evaluation and applications for precipitation verification and storm nowcasting

A SAR-Only Inversion Framework for Soil Moisture Using Multi-Index Comparative Analysis

Soil moisture is critical to the ecological stability and hydrological cycle. Optical remote sensing is severely constrained by cloud cover, snow, and frozen soil in alpine regions, hindering long-term soil moisture monitoring. Taking Nagqu region in the Tibetan Plateau as the study area, this paper constructs a pure m...

Does initial soil moisture condition affect poleward-moving tropical cyclone forecasts?

Soil moisture (SM) is a critical land surface variable that modulates land–atmosphere interactions through the partitioning of surface energy and moisture fluxes. This study examines the sensitivity of forecasts of poleward-moving, landfalling tropical cyclones (TCs) to initial SM condition. We conducted Weather Resear...

Comparing Modelled and Remotely Sensed Soil Moisture Products Using In Situ Observations in Liguria, Italy: Evaluation via SWI Filtering and Rescaling Techniques

Soil Moisture (SM) represents the temporary storage of water within the shallow layers of the Earth’s upper surface and plays a key role in a wide range of applications, including hydrological processes, numerical weather prediction models and landslide prediction. This study evaluates the comparability of multiple sat...