Results 191 to 200 of about 25,371 (266)

Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Many of today's most significant and urgent scientific questions, including those about the impact of human activity on air quality and radiative forcing, require the synthesis of observations of atmospheric constituents and scientific theory.
B. Weir, K. Wargan, C. A. Keller, K. E. Knowland, P. A. Wales, V. Shah, B. M. Karpowicz, N. Balashov, L. E. Ott, R. Todling, S. E. Cohn, S. Pawson   +11 more
wiley   +1 more source

Vehicle Sideslip Angle Estimation Using Deep Reinforcement Learning Combined with Unscented Kalman Filter. [PDF]

Sensors (Basel)
Wu L, Wang W, Li P, Zhu Y.
europepmc   +1 more source

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou, Chentong Zhang, Alek Petty, Xianwei Wang, Ruibo Lei, Wenxuan Liu, Yu Zhang   +6 more
wiley   +1 more source

A Robust Extended Kalman Filter Algorithm Based on a Sliding Window Fractional-Order Grey Prediction Model and Its Application in MINS/GNSS. [PDF]

Sensors (Basel)
Zhang M, Xu A.
europepmc   +1 more source

A Next‐Generation Snow Albedo Parameterization for Climate Modeling Using Constrained Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We demonstrate a data‐driven parameterization framework for snow albedo evolution using a constrained auto‐regressive neural differential equation that directly predicts snow albedo change from standard meteorological inputs. After training with multi‐year in situ and satellite observations from a wide variety of locations, the scheme ...
A. Charbonneau, K. Deck, T. Schneider
wiley   +1 more source

Diphtheria transmission prediction by extended Kalman filter. [PDF]

MethodsX
Ghani M.
europepmc   +1 more source

Latitude‐Dependent Sensitive Areas for Targeted Observations of Mesoscale Eddies Associated With Sea Surface Height Anomaly Forecasts

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract By employing the conditional nonlinear optimal perturbation approach within a two‐layer quasigeostrophic (QG) model, we investigate the sensitive areas for targeted observations of mesoscale eddies relevant to sea surface height anomaly (SSHA) forecasting and reveal their pronounced latitude dependence.
Lin Jiang, Wansuo Duan, Hui Wang
wiley   +1 more source

Development and analytical validation of a targeted short‐read next generation sequencing‐based pharmacogenetic panel for comprehensive variant detection

British Journal of Pharmacology, Volume 183, Issue 16, Page 4735-4760, August 2026.
Abstract Background and Purpose Genomic profiling of patients for genetic variants that modify the effect of specific medications has many benefits, including the possibility of avoiding toxicities and ensuring an adequate effect of the medication. Our intention was to develop a comprehensive, high‐quality pharmacogenetic test panel for clinical use ...
Anna Gréen, Nils Johan Fredriksson, Michael Andresen, Jon Jonasson, Malin Lindqvist Appell, Henrik Gréen   +5 more
wiley   +1 more source

An Improved Variational Bayesian-Based Adaptive Federated Kalman Filter for Multi-Sensor Integrated Navigation Systems. [PDF]

Sensors (Basel)
Yan Y, Yang J.
europepmc   +1 more source