Results 51 to 60 of about 2,782 (177)

Improving Global Surface Soil Moisture Prediction Through Physics‐Guided Deep Learning and Cluster‐Based Regionalization

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Surface soil moisture (SSM) is essential to the hydrological cycle and land–atmosphere interactions, and its accurate simulation is crucial for climate prediction and resource management. This study developed an innovative modeling framework for global SSM prediction by integrating physics‐guided deep learning (PGDL) and clustering‐based ...
Xuan Xi, Qianlai Zhuang
wiley   +1 more source

Reconstructing China's Natural Streamflow at 1‐km Resolution

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Climate change and intensifying human activities are placing unprecedented pressure on China's water resources, necessitating high‐resolution, naturalized streamflow records for effective management. We develop a 1‐km gridded fully coupled land‐surface‐hydrologic‐hydrodynamic modeling system for China based on the CLHMSv2.0 model.
Ningpeng Dong, Mingxiang Yang, Jianhui Wei, Shiqin Xu, Yong Zhao, Xuejun Zhang, Bo Liu, Mengqi Wu, Hao Wang, Harald Kunstmann   +9 more
wiley   +1 more source

History Matching of Soil Moisture and Evapotranspiration Over Europe Using Iterative Ensemble Smoothers

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract Land surface models are crucial components within earth system models, simulating the exchanges of water, energy, carbon, and nitrogen between the land surface, atmosphere, and subsurface. One challenge is the large number of uncertain parameters in these models.
Mikael L. A. Kaandorp, Haojin Zhao, Christian Poppe Terán, Carl Hartick, Paul Rigor, Harrie‐Jan Hendricks Franssen   +5 more
wiley   +1 more source

Temporal Variations in Seismic Ambient Noise Identify Seasonal Changes in Basal Conditions at Sermeq Kujalleq in Kangia, Greenland

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Subglacial processes are key to glacier dynamics but remain poorly constrained due to limited in situ observations. We use continuous seismic and Global Navigation Satellite System (GNSS) measurements to investigate summer basal conditions at Sermeq Kujalleq in Kangia (SKK; Jakobshavn Isbræ), Kalaallit Nunaat (Greenland).
Janneke van Ginkel, Adrien Wehrlé, Ana Nap, Fabian Walter, Andrea Kneib‐Walter, Hugo Rousseau, Martin P. Lüthi   +6 more
wiley   +1 more source

Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture

Remote Sensing
Soil moisture data with both a fine spatial scale and a short global repeat period would benefit many hydrologic and climatic applications. Since the radar transmitter malfunctioned on NASA’s Soil Moisture Active Passive (SMAP) in 2015, SMAP soil ...
Liza J. Wernicke, Clara C. Chew, Eric E. Small   +2 more
doaj   +1 more source

Understanding the Influence of Soil Moisture on Machine Learning Predictions of Photosynthesis and Evapotranspiration

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Evapotranspiration (ET) and photosynthesis are key processes in ecosystem functioning on which soil moisture (SM) has an important influence. Eddy covariance measurements and machine learning (ML) increasingly enable flux prediction in ungauged regions.
Daniel Power, Miguel Angel Rico‐Ramirez, Pierre Gentine, David McJannet, Martin Schrön, Corinna Rebmann, Humberto da Rocha, Rafael Rosolem   +7 more
wiley   +1 more source

Performance of five common soil moisture sensors using default calibration equations in low‐salinity conditions

Vadose Zone Journal, Volume 25, Issue 3, May/June 2026.
Abstract Soil moisture monitoring plays a critical role in water resource management, hydrological modeling, and climate studies, making sensor accuracy and reliability increasingly important. This study evaluates the performance of five soil moisture sensors—the CS655, HydraProbe, TDR‐315N, TEROS 12, and ThetaProbe—using their default calibrations ...
Seyed Ali Azizi, Briana M. Wyatt, Andres Patrignani, Tyson E. Ochsner, Michael Cosh   +4 more
wiley   +1 more source

Roadmap for leveraging satellite data to advance soil moisture monitoring in Mainland Southeast Asia

Vadose Zone Journal, Volume 25, Issue 3, May/June 2026.
Abstract Soil moisture monitoring is vital for Mainland Southeast Asia (MSEA), a region that plays a pivotal role in global agricultural production. Strong reliance on rain‐fed agriculture, combined with frequent hydroclimatic extremes, makes MSEA one of the world's most climate‐sensitive regions.
G. A. Chinthaka Ganepola, Natthachet Tangdamrongsub, Kritanai Torsri, Apiniti Jotisankasa, Chinaporn Meechaiya, Simon Yueh, Jianzhi Dong, Indishe P. Senanayake   +7 more
wiley   +1 more source

A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data

Water Resources Research
This research introduces a new deep learning (DL) framework, multi‐head self‐attention‐aided vision Transformer (MSA‐ViT), for soil moisture (SM) retrieval using Cyclone Global Navigation Satellite System (CYGNSS) data. We first assess the sensitivity of
Qingyun Yan, Yuhan Chen, Yuanjin Pan, Shuanggen Jin, Weimin Huang   +4 more
doaj   +1 more source

A closed‐form equation linking soil moisture and evaporation

Vadose Zone Journal, Volume 25, Issue 3, May/June 2026.
Abstract Estimating evaporation from surface soil moisture data poses a persistent challenge for modeling the hydrological cycle. Deriving a physics‐based solution to convert single‐probe soil moisture data into evaporation estimates has always been challenging. Such an equation would enhance hydrological models and remote sensing methods.
Ali Mokhtari, Morteza Sadeghi, Arman Ahmadi, Joseph Verfaillie, Kang Yu   +4 more
wiley   +1 more source