Results 111 to 120 of about 12,139 (222)

Enhancing Regional Ensemble‐Variational Data Assimilation for Convection‐Permitting Prediction With Combination of the Dual‐Localization and Scales Blending of Global and Regional Ensembles

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract This study proposes a new scheme combining ensemble blending and dual‐localization of ensemble error covariance in an ensemble‐variational (EnVar) framework to better account for both the multi‐scale characteristics of the background and background error covariance for high‐resolution data assimilation and forecasting.
Yuanbing Wang, Xinyao Qian, Yaodeng Chen, Xin Li, Jinzhong Min, Yaxin Deng   +5 more
wiley   +1 more source

Comparing optical oscillators across the air to milliradians in phase and $10^{-17}$ in frequency

, 2017
We demonstrate carrier-phase optical two-way time-frequency transfer (carrier-phase OTWTFT) through the two-way exchange of frequency comb pulses. Carrier-phase OTWTFT achieves frequency comparisons with a residual instability of 1.2x10$^{-17}$ at 1 ...
Baumann, Esther, Bergeron, Hugo, Deschênes, Jean-Daniel, Newbury, Nathan R., Sinclair, Laura C., Swann, William C.   +5 more
core   +1 more source

Capability Demonstration of a JEDI‐Based System for TEMPO Assimilation: System Description and Evaluation

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract The launch of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission in 2023 marked a new era in air quality monitoring by providing high‐frequency, geostationary observations of column NO2 across most of North America. In this study, we present the first implementation of a TEMPO NO2 data assimilation system using the Joint ...
Maryam Abdi‐Oskouei, Jérôme Barré, Shih‐Wei Wei, Sarah Lu, Ashley Griffin, Clementine Hardy Gas, Francois Hebert, Stephen Herbener, Eric Lingerfelt, Evan Parker, Christian Sampson, Steve Vahl, Fabio Diniz, Ben Johnson, Cheng Dang, Yannick Tremolet, Benjamin Ruston, Viral Shah, Emma Knowland, Ricardo Todling, Ronald Gelaro, Caroline Nowlan, Gonzalo Gonzalez Abad, Xiong Liu, Brian McDonald, Kristen Zuraski, Jeff Peischl, Caroline Womack, Laura Judd, Thomas Hanisco, Benjamin Menetrier, Cory Martin, Daniel Holdaway, Anna Shlyaeva, Dom Heinzeller, Steven Pawson, Thomas Auligne   +36 more
wiley   +1 more source

Introducing Reflected GNSS TEC Data Into ANCHOR Ionospheric Data Assimilation Model

Space Weather, Volume 24, Issue 5, May 2026.
Abstract ANCHOR is a novel data assimilation (DA) algorithm developed at the U.S. Naval Research Laboratory to improve ionospheric nowcasting by increasing accuracy and decreasing computational cost. As a parameterized DA model, ANCHOR represents the ionosphere using physical parameters such as the F2 layer peak (Nm $Nm$F2), which characterizes a ...
Brenna Royersmith, Victoriya V. Forsythe, Brian Breitsch, Meghan R. Burleigh, Kate A. Zawdie, Y. Jade Morton   +5 more
wiley   +1 more source

Multi-Timescale Estimation of SOE and SOH for Lithium-Ion Batteries with a Fractional-Order Model and Multi-Innovation Filter Framework

Batteries
Based on a fractional-order equivalent circuit model, this paper proposes a multi-timescale collaborative State of Energy (SOE) and State of Health (SOH) estimation method (FOASTFREKF-EKF) for lithium batteries to mitigate the influence of model ...
Jing Yu, Fang Yao
doaj   +1 more source

Air pollutant emission and prediction with extended kalman filtering [PDF]

, 2016
University of Technology Sydney. Faculty of Engineering and Information Technology.The major sources of air pollutants in New South Wales (NSW is a state on the east coast of Australia) are anthropogenic emissions and biomass burning emissions ...
Metia, Santanu
core  

An Grided Soil Moisture Profile Data Set Based on an Optimal Land Surface Model With Measured Hydraulic Parameters and Data Assimilation Over the Loess Plateau

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Soil moisture (SM) is a key water source for vegetation, directly determining the success of revegetation efforts in water‐limited regions. However, accurate profile SM data remain lacking for the Chinese Loess Plateau (LP), limiting ecological restoration efforts.
Shenghui Zhou, Baoqing Zhang, Xuejin Wang, Jiewen Feng, Zhenkang Zheng, Bohua Pang, Junsheng Nie, Wen Yin, Xining Zhao, Asaad Y. Shamseldin   +9 more
wiley   +1 more source

Varying the Combination of Hydrological Models in Time and Space: Toward a More Accurate Representation of Streamflow in Large‐Sample Hydrology

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Accurate predictions of streamflow are needed to manage water resources, evaluate flooding risks, and support agriculture and industry. Many hydrological studies rely on a single model structure and parameter set applied uniformly across space and held fixed over time, limiting their ability to represent spatiotemporal changes in hydrological ...
C. Thébault, W. J. M. Knoben, N. Addor, A. J. Newman, M. P. Clark   +4 more
wiley   +1 more source

GRACE TWSA Data Assimilation in Land Surface Models‐The Role of State Vector and Model Uncertainty Representation

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Data assimilation (DA) of terrestrial water storage anomalies (TWSA) from the GRACE and GRACE Follow–On (GRACE/–FO) satellite missions has become a valuable tool for improving large‐scale hydrological and land surface model (LSM) simulations.
Yorck Ewerdwalbesloh, Carsten Montzka, Jürgen Kusche, Anne Springer   +3 more
wiley   +1 more source

Robust Kalman filter for fractional order systems with uncertain colored noise variance

Measurement + Control
For fractional order systems with colored process noise, the discretization fractional order system model is used to construct the augmented vector defined by the state vector and colored process noise vector.
Guanran Wang, Xiaojun Sun
doaj   +1 more source