Perspectives and Challenges in High-Resolution Whole-Atmosphere Modeling

Physics-based numerical models are essential for understanding atmosphere–space interactions. These include mechanisms that perturb the upper-atmosphere dynamics and energetics associated with terrestrial weather (impact from below) and solar-geomagnetic input (impact from above). The relevant physical phenomena range from global and synoptic scales down to the kilometer-scale of mesoscale dynamics. This manuscript discusses the impact of fine-scale processes in the ionosphere–thermosphere–mesosphere (ITM) region initiated from above and below, emphasizing the current status and perspectives of their realistic representation in whole-atmosphere and thermosphere–ionosphere models. The possible pathways to address challenges in realistic predictions of the ITM and its fast variability on global and regional scales are examined. They include three powerful modeling and data analysis techniques, namely nesting, nudging, and assimilation, that need to be carefully implemented for the highly dynamical ITM domain. Reasons for potential problems to constrain the high-resolution ITM predictions by data can be attributed to sparse and diverse observations performed in different layers and the increased complexity of the multi-scale ITM processes that need to be taken into account and properly coupled (e.g., dynamics, radiation, chemistry, and electrodynamics). The multi-scale ITM dynamics are dominated by tides, gravity waves, and small-scale eddies. Constraining these with assimilation and/or nudging algorithms requires rapid data analysis to properly adjust the global and regional diurnal and sub-diurnal oscillations to match space-borne and ground-based observations.

Authors

Institutions

Publication Details

Journal
Surveys in Geophysics
Published
2025-11-27
DOI
https://doi.org/10.1007/s10712-025-09915-6
Citations
1
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perspectives and Challenges in High-Resolution Whole-Atmosphere Modeling

Claudia Stephan, Xian Feng Lu, N. M. Pedatella, Huixin Liu et al.
1 citations
Surveys in Geophysics
Ionosphere and magnetosphere dynamics
1.15
article

Perspectives and Challenges in High-Resolution Whole-Atmosphere Modeling

Claudia Stephan, Xian Feng Lu, N. M. Pedatella, Huixin Liu, Astrid Maute, Hanli Liu, V. A. Yudin
article en
1 citations

Abstract

Physics-based numerical models are essential for understanding atmosphere–space interactions. These include mechanisms that perturb the upper-atmosphere dynamics and energetics associated with terrestrial weather (impact from below) and solar-geomagnetic input (impact from above). The relevant physical phenomena range from global and synoptic scales down to the kilometer-scale of mesoscale dynamics. This manuscript discusses the impact of fine-scale processes in the ionosphere–thermosphere–mesosphere (ITM) region initiated from above and below, emphasizing the current status and perspectives of their realistic representation in whole-atmosphere and thermosphere–ionosphere models. The possible pathways to address challenges in realistic predictions of the ITM and its fast variability on global and regional scales are examined. They include three powerful modeling and data analysis techniques, namely nesting, nudging, and assimilation, that need to be carefully implemented for the highly dynamical ITM domain. Reasons for potential problems to constrain the high-resolution ITM predictions by data can be attributed to sparse and diverse observations performed in different layers and the increased complexity of the multi-scale ITM processes that need to be taken into account and properly coupled (e.g., dynamics, radiation, chemistry, and electrodynamics). The multi-scale ITM dynamics are dominated by tides, gravity waves, and small-scale eddies. Constraining these with assimilation and/or nudging algorithms requires rapid data analysis to properly adjust the global and regional diurnal and sub-diurnal oscillations to match space-borne and ground-based observations.

Surveys in Geophysics
NSF National Center for Atmospheric Research (US), NSF NCAR High Altitude Observatory (US), Kyushu University (JP), Astrophysics Science Division (US), Leibniz Institute of Atmospheric Physics at the Rostock University (DE), University of Rostock (DE), Clemson University (US)
National Science Foundation, National Aeronautics and Space Administration, Deutsches Klimarechenzentrum, Nuclear Safety and Security Commission, Goddard Space Flight Center, Leibniz-Gemeinschaft, Japan Society for the Promotion of Science
Openalex Percentile: Top 15%
Ionosphere and magnetosphere dynamics
1.15
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.