Results 231 to 240 of about 15,255 (305)

ALERA‐V Version 1.0: An Objective Analysis Dataset of the Venus Atmosphere

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
Using observations from the Venus orbiter Akatsuki, we present the first objective analysis dataset of the Venus atmosphere. ALERA‐V, generated with the ALEDAS‐V system using the LETKF, is expected to support studies of atmospheric dynamics and the planning of future satellite missions.
Yukiko Fujisawa, Shin‐ya Murakami, Norihiko Sugimoto, Nobumasa Komori, Masahiro Takagi, Takeshi Imamura, Takeshi Horinouchi, George L. Hashimoto, Masaki Ishiwatari, Takeshi Enomoto, Takemasa Miyoshi, Hiroki Kashimura, Toshiki Matsushima, Yoshi‐Yuki Hayashi   +13 more
wiley   +1 more source

Effects of Wintertime Snow Depth Assimilation on Summertime Sea Ice Prediction Experiments Utilizing a Fully Coupled Regional Arctic Model With Perfect Boundary Conditions

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.
Abstract During the past decades, the rapid decline of sea ice in the Arctic Ocean has substantially favored commercial navigation activities in the summertime. Numerical sea ice prediction on a seasonal scale plays a crucial role in guiding the programme of such activities, yet the role of snow depth data assimilation in numerical sea ice prediction ...
Xi Liang, Chengyan Liu, Xichen Li, Zhongxiang Tian, Zhuoming Ding, Fu Zhao, Ming Li, Na Liu, Jiaying Huang   +8 more
wiley   +1 more source

A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking. [PDF]

Sensors (Basel)
Li C, Wu H, Zeng G, Yang M, Zhao Y, Mehmood A.   +5 more
europepmc   +1 more source

Integration of Deep Neural Network‐Based Boundary Layer Subgrid Frictional Effects Into the Momentum Equation Constraint of WRFDA EnVar to Improve Tropical Cyclone Forecasts

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.
Abstract The incorporation of appropriate dynamic constraints in data assimilation (DA) is highly important for improving the forecasting of disastrous weather. It is often challenging to describe subgrid physical processes with strong nonlinearity and discontinuity in dynamic constraints because of difficulties in tangent linear and adjoint ...
Xin Li, Jian‐Feng Gu, Yi Li, Yu Zheng, Yuan Zhuang, Shiwei Sun, Zhiqiang Cui   +6 more
wiley   +1 more source

A Novel Sequential Monte Carlo Algorithm for Parameter Estimation in Eco‐Hydrological Models

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Bayesian inference offers a flexible framework for parameter estimation and uncertainty quantification in eco‐hydrological models. However, simultaneously achieving robust posterior exploration and high computational efficiency for multimodal, high‐dimensional, and computationally intensive targets remains challenging for the widely used ...
Cong Xu, Kun Zhang, Gaofeng Zhu, Xin Li, Chuang Wei   +4 more
wiley   +1 more source

Estimating Motorcycle Telescopic Fork Suspension Travel Speed with Four-Degree-of-Freedom Full-Vehicle Kalman Filter. [PDF]

Sensors (Basel)
Ponso A, Pakštys S, Bonfitto A.
europepmc   +1 more source

Estimation of FBMC/OQAM fading channels using dual Kalman filters. [PDF]

ScientificWorldJournal, 2014
Aldababseh M, Jamoos A.
europepmc   +1 more source

Streamflow Spatial Correlation Length Increases During Storms and Its Application in Data Assimilation Improves Streamflow Predictions

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract The spatial correlation of streamflow in a river network captures how flows at different locations relate to one another and influence the downstream response. In this study, we analyze the spatial correlation of streamflow and rainfall during storm events in three Texas watersheds: San Antonio (2015 and 2016 storms), Guadalupe (2018 storm ...
Sujana Timilsina, Paola Passalacqua
wiley   +1 more source

Using Kalman filters to reduce noise from RFID location system. [PDF]

ScientificWorldJournal, 2014
Abreu PH, Xavier J, Silva DC, Reis LP, Petry M.   +4 more
europepmc   +1 more source

Statistical analyses of ecological multinomial time series to identify environmental drivers and biotic interactions

Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2189-2204, July 2026.
Abstract Understanding the drivers of change in communities is a major goal of paleoecology and community ecology, but statistical inference from multivariate time series is challenged by relative (rather than absolute) abundance data, observation uncertainty and missing data due to uneven sampling through time.
Quinn Asena, John W. Williams, Jonathan Johnson, Bryan Shuman, Vania Stefanova, Anthony Ives   +5 more
wiley   +1 more source