Results 251 to 260 of about 26,219 (311)

High impedance faults detection in power distribution networks using rogowski coils, kalman filtering, least-squares and non-recursive DFT computation engines. [PDF]

PLoS One
Ali ZM, Mostafa MH, Abdel Aleem SHE, Esmail EM.   +3 more
europepmc   +1 more source

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

Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm. [PDF]

Sci Rep
Pang Z, Wang Y, Yang F.
europepmc   +1 more source

Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning‐Based Models

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract Coupled data assimilation (CDA) could be beneficial for paleoclimate reconstruction, but intermediate‐complexity climate models are often used. The deep learning (DL)‐based surrogate model that can realistically simulate the climate system provides alternative to CDA, so that CDA of multi‐timescale proxy data using DL‐based models is ...
Lili Lei, Haohao Sun, Zhe‐Min Tan, Liang Ning, Zhengyu Liu   +4 more
wiley   +1 more source

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa, A. Folch, Y. J. Suzuki, L. Mingari, G. Macedonio   +4 more
wiley   +1 more source

A Kalman Filtering Algorithm for Measurement Interruption Based on Polynomial Interpolation and Taylor Expansion. [PDF]

Entropy (Basel)
Cheng J, Wang Z, Qi B, Wang H.
europepmc   +1 more source

Identifying the State Dependence of Effective Material Properties in a Simplified Hydrologic Hillslope Model

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Accurate representation of closure relationships, such as subsurface storage‐discharge, is essential for hydrologic modeling at the hillslope scale, but remains challenging due to the nonlinear state‐dependent nature of soil hydraulic behavior.
Marcus N. Gomes Jr., Hannes H. Bauser, Peter A. Troch   +2 more
wiley   +1 more source

Research on Leak Detection of Low-Pressure Gas Pipelines in Buildings Based on Improved Variational Mode Decomposition and Robust Kalman Filtering. [PDF]

Sensors (Basel)
Lin W, Tian X.
europepmc   +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