Results 201 to 210 of about 55,859 (291)

A High‐Precision Crop Water Footprint Quantification Framework Based on Data Assimilation

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Agricultural production is a major consumer of water resources, and the crop water footprint (CWF) serves as a comprehensive metric for assessing agricultural water use efficiency and its associated impacts, thereby providing new insights for agricultural water management.
Ting Bai, Shikun Sun, Yali Yin, Dongmei Zhao, Hao Dong, Jing Xue, Jinfeng Zhao, Yubao Wang, Pute Wu   +8 more
wiley   +1 more source

Robust unmanned aerial vehicles tracking amid electronic interference utilizing auxiliary particle filtering. [PDF]

PLoS One
Qi L, Zhang T, Chen G, Wang W.
europepmc   +1 more source

Algorithm Theoretical Basis for Version 3 TEMPO Level 0–1 Processor

Earth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument is the first spaceborne hyperspectral spectrometer that measures backscattered sunlight over North America in a geostationary orbit. The two charge‐coupled device (CCD) detectors of TEMPO, with spectral coverages of 293–494 and 538–741 nm and resolutions of 0.53–0.63 nm ...
Heesung Chong, Xiong Liu, John Houck, David E. Flittner, James Carr, Weizhen Hou, John E. Davis, Raid M. Suleiman, Kelly Chance, Nischal Mishra, Christopher Chan Miller, Gonzalo González Abad, Brian Baker, James Lasnik, Dennis Nicks, Juseon Bak, Caroline R. Nowlan, Huiqun Wang, Junsung Park, Jean Fitzmaurice, Laurel Carpenter   +20 more
wiley   +1 more source

Optimal Sequential Fusion Kalman Filter for Multi-Sensor Linear Systems with Noise Cross-Correlated. [PDF]

Sensors (Basel)
Huang W, Wen C.
europepmc   +1 more source

A Generalized Data‐Driven Shoreline Model at the Regional Scale

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Shoreline models underpin long‐term coastal planning and hazard mitigation but are often limited by site‐specific calibration and simplified process representations. While machine learning (ML) approaches have recently matched or exceeded the skill of traditional models in deterministic shoreline forecasting, they have yet to demonstrate ...
Kit Calcraft, Joshua A. Simmons, Lucy A. Marshall, Kristen D. Splinter   +3 more
wiley   +1 more source

A TCN-BiLSTM and ANR-IEKF Hybrid Framework for Sustained Vehicle Positioning During GNSS Outages. [PDF]

Sensors (Basel)
Niu S, Li J, Hu C, Li J, Zhang D, Feng K.   +5 more
europepmc   +1 more source

Duo‐AttnOPNets: Advancing Global Operational Forecasting for Atmospheric Carbon Monoxide With AI‐Empowered 4D‐Var

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 2, February 2026.
Abstract The accuracy of global forecasting of atmospheric composition is essential for protecting public health and advancing climate research. Carbon monoxide (CO), a key pollutant with indirect greenhouse effects, requires timely and accurate prediction.
Judongyang Zhou, Fangxin Fang, Christopher C. Pain, Linfeng Li, Jie Zheng, Yanghua Wang, Ionel Michael Navon, Jiang Zhu   +7 more
wiley   +1 more source

A Kalman Filter-Based Localization Calibration Method Optimized by Reinforcement Learning and Information Matrix Fusion. [PDF]

Entropy (Basel)
Huang Z, Xu Q, Sun M, Zhu X.
europepmc   +1 more source

Mapping Evapotranspiration and Diffuse Recharge via Variational Assimilation of GOES LST and SMAP Soil Moisture

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Evapotranspiration (ET) and groundwater recharge are fundamental components of the terrestrial water cycle, critical for understanding land–atmosphere interactions, ecosystem dynamics, and climate feedbacks. However, large‐scale mapping of these fluxes is hindered by sparse in situ observations and uncertainties in land surface models.
Asif Mahmood, Leila Farhadi
wiley   +1 more source