Atmospheric turbulence parameters characterization and seeing forecasting at the Daocheng site using ERA5 reanalysis data

ABSTRACT This study presents a comprehensive analysis of atmospheric parameters at the Daocheng site (100$^\circ 05^\prime$ E, 29$^\circ 08^\prime$ N) in China, using the ERA5 reanalysis data spanning 2014–2024. By implementing a physical parametrization scheme, we derive the vertical profiles of temperature, wind speed and optical turbulence strength, characterized by the refractive index structure constant $C_n^2(h)$. Our analysis reveals exceptional atmospheric stability, characterized by minimal tropopause height variations (range: 17.06–17.81 km; annual amplitude $<$0.74 km) and favourable summer conditions, with median 200 hPa wind speeds (V$_{200}$) remaining below 20 m s$^{-1}$ during June–September. The $C_n^2(h)$ profile decreases monotonically from the surface to approximately 11 km, followed by a pronounced peak near 17 km that is strongly correlated with the local thermal structure. The derived optical turbulence parameters demonstrate excellent median seeing conditions ($\varepsilon = 0.72\,\mathrm{ arcsec}$), with 25 per cent of values better than $0.48\,\mathrm{ arcsec}$, along with key parameters including atmospheric coherence length ($r_0 = 14.07$ cm), isoplanatic angle ($\theta _0 = 0.89\,\mathrm{ arcsec}$), and wavefront coherence time ($\tau _0 = 2.21$ ms). The atmospheric coherence length consistently exceeds 20 cm during summer months, significantly outperforming spring–winter transitions. Based on this analysis, we develop an integrated forecasting framework combining ARIMA and Holt–Winters methodologies to predict the excellent seeing conditions for 2025. Time series analysis confirms a robust seasonal pattern, quantified by a seasonal intensity coefficient of 0.771. This work provides systematic estimation and forecasting of atmospheric turbulence parameters at the Daocheng site, establishing crucial scientific foundations for atmospheric characterization, adaptive optics system design, and strategic planning of current and future telescope facilities.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-11-27
DOI
https://doi.org/10.1093/mnras/staf2103
Primary Topic
Adaptive optics and wavefront sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Atmospheric turbulence parameters characterization and seeing forecasting at the Daocheng site using ERA5 reanalysis data

Yangrui Chen, Wenzhu Huang, Qing Zhou, Feiyang Sha et al.
Monthly Notices of the Royal Astronomical Society
Adaptive optics and wavefront sensing
article

Atmospheric turbulence parameters characterization and seeing forecasting at the Daocheng site using ERA5 reanalysis data

Yangrui Chen, Wenzhu Huang, Qing Zhou, Feiyang Sha, Xinjian Wang, Yu Liu, Q. Luo, Haitang Li, Li-Yuan Lu, Tengfei Song, Huan Zhang, Qiang Liu, Xuefei Zhang
article en

Abstract

ABSTRACT This study presents a comprehensive analysis of atmospheric parameters at the Daocheng site (100$^\circ 05^\prime$ E, 29$^\circ 08^\prime$ N) in China, using the ERA5 reanalysis data spanning 2014–2024. By implementing a physical parametrization scheme, we derive the vertical profiles of temperature, wind speed and optical turbulence strength, characterized by the refractive index structure constant $C_n^2(h)$. Our analysis reveals exceptional atmospheric stability, characterized by minimal tropopause height variations (range: 17.06–17.81 km; annual amplitude $<$0.74 km) and favourable summer conditions, with median 200 hPa wind speeds (V$_{200}$) remaining below 20 m s$^{-1}$ during June–September. The $C_n^2(h)$ profile decreases monotonically from the surface to approximately 11 km, followed by a pronounced peak near 17 km that is strongly correlated with the local thermal structure. The derived optical turbulence parameters demonstrate excellent median seeing conditions ($\varepsilon = 0.72\,\mathrm{ arcsec}$), with 25 per cent of values better than $0.48\,\mathrm{ arcsec}$, along with key parameters including atmospheric coherence length ($r_0 = 14.07$ cm), isoplanatic angle ($\theta _0 = 0.89\,\mathrm{ arcsec}$), and wavefront coherence time ($\tau _0 = 2.21$ ms). The atmospheric coherence length consistently exceeds 20 cm during summer months, significantly outperforming spring–winter transitions. Based on this analysis, we develop an integrated forecasting framework combining ARIMA and Holt–Winters methodologies to predict the excellent seeing conditions for 2025. Time series analysis confirms a robust seasonal pattern, quantified by a seasonal intensity coefficient of 0.771. This work provides systematic estimation and forecasting of atmospheric turbulence parameters at the Daocheng site, establishing crucial scientific foundations for atmospheric characterization, adaptive optics system design, and strategic planning of current and future telescope facilities.

Monthly Notices of the Royal Astronomical SocietyVol. 545(2)
Qinghai University (CN), Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Yunnan Observatories (CN), Astronomy and Space (AU), Southwest Jiaotong University (CN)
Openalex Percentile: Top 70%
Adaptive optics and wavefront sensing
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.