Quantifying Storm-Time Neutral Density Uncertainties using a Physics-Based Particle Filter Framework

Experiment results from applying a new physics-based particle filter framework aimed at quantifying non-Gaussian uncertainties, applied to an isolated storm event.

Institutions

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/ays8q
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying Storm-Time Neutral Density Uncertainties using a Physics-Based Particle Filter Framework

Open Science Framework
Geochemistry and Geologic Mapping
article

Quantifying Storm-Time Neutral Density Uncertainties using a Physics-Based Particle Filter Framework

article en

Abstract

Experiment results from applying a new physics-based particle filter framework aimed at quantifying non-Gaussian uncertainties, applied to an isolated storm event.

Open Science Framework
University of Colorado Boulder (US), University of Colorado System (US)
Climate action
Openalex Percentile: Top 69%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantifying Storm-Time Neutral Density Uncertainties using a Physics-Based Particle Filter Framework · Open Science Framework (2025) | TGRS Research Map | TGRS