Intrinsic Predictability From the Troposphere to the Mesosphere/Lower Thermosphere (MLT)

Abstract The atmosphere's flow becomes unpredictable beyond a certain time due to the inherent growth of small initial‐state errors. While many research studies have focused on tropospheric predictability, predictability of the middle atmosphere remains less studied. This work contrasts the intrinsic predictability of different layers, with a focus on the mesosphere/lower thermosphere (MLT, 50–120 km altitude). Ensemble simulations with the UA‐ICON model for an austral winter/spring season are conducted with a gravity‐wave‐permitting horizontal resolution of 20 km. Initially small perturbations grow fastest in the MLT, reaching 10% of saturation after 5–6 days, compared to 10 days in the troposphere and 2 weeks in the stratosphere. A saturation level of 50% is reached only after about 2 weeks in the MLT, similar to the troposphere. Saturation times are overestimated in a coarser resolution model (grid size 160 km) by up to a factor of two, highlighting the need for gravity wave‐resolving models. Predictability in the MLT depends on horizontal scales. Motions on scales of hundreds of kilometers are predictable for less than 5 days, while larger scales (thousands of kilometers) remain predictable for up to 20 days. This scale‐dependent progression of predictability cannot be explained by simple scaling for upscale error growth. Vertical wave propagation plays a significant role, with gravity waves transmitting perturbations upward at early lead times and planetary waves enhancing long‐term predictability. In summary, the study shows that MLT predictability is scale‐dependent and highlights the necessity of high‐resolution models to capture fast‐growing perturbations and assess intrinsic predictability limits accurately.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-06-27
DOI
https://doi.org/10.1029/2025jd043363
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intrinsic Predictability From the Troposphere to the Mesosphere/Lower Thermosphere (MLT)

Hella Garny
Journal of Geophysical Research Atmospheres
Climate variability and models
article

Intrinsic Predictability From the Troposphere to the Mesosphere/Lower Thermosphere (MLT)

Hella Garny
article en

Abstract

Abstract The atmosphere's flow becomes unpredictable beyond a certain time due to the inherent growth of small initial‐state errors. While many research studies have focused on tropospheric predictability, predictability of the middle atmosphere remains less studied. This work contrasts the intrinsic predictability of different layers, with a focus on the mesosphere/lower thermosphere (MLT, 50–120 km altitude). Ensemble simulations with the UA‐ICON model for an austral winter/spring season are conducted with a gravity‐wave‐permitting horizontal resolution of 20 km. Initially small perturbations grow fastest in the MLT, reaching 10% of saturation after 5–6 days, compared to 10 days in the troposphere and 2 weeks in the stratosphere. A saturation level of 50% is reached only after about 2 weeks in the MLT, similar to the troposphere. Saturation times are overestimated in a coarser resolution model (grid size 160 km) by up to a factor of two, highlighting the need for gravity wave‐resolving models. Predictability in the MLT depends on horizontal scales. Motions on scales of hundreds of kilometers are predictable for less than 5 days, while larger scales (thousands of kilometers) remain predictable for up to 20 days. This scale‐dependent progression of predictability cannot be explained by simple scaling for upscale error growth. Vertical wave propagation plays a significant role, with gravity waves transmitting perturbations upward at early lead times and planetary waves enhancing long‐term predictability. In summary, the study shows that MLT predictability is scale‐dependent and highlights the necessity of high‐resolution models to capture fast‐growing perturbations and assess intrinsic predictability limits accurately.

Journal of Geophysical Research AtmospheresVol. 130(13)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Openalex Percentile: Top 85%
Climate variability and models
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.

Intrinsic Predictability From the Troposphere to the Mesosphere/Lower Thermosphere (MLT) — Hella Garny · Journal of Geophysical Research Atmospheres (2025) | TGRS Research Map | TGRS