A strategy for forecasting the seeing of astronomical site at short and long time-scales

Kang Huang; Yonghui Hou; Tianzhu Hu; Teng Xu

doi:10.1117/12.3018837

25 July 2024 A strategy for forecasting the seeing of astronomical site at short and long time-scales

Kang Huang, Yonghui Hou, Tianzhu Hu, Teng Xu

Proceedings Volume 13098, Observatory Operations: Strategies, Processes, and Systems X; 130982F (2024) https://doi.org/10.1117/12.3018837
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Abstract

Atmospheric seeing, a crucial astronomical meteorological parameter, directly affects the imaging quality of astronomical telescopes. Establishing a reliable mechanism for predicting atmospheric seeing is vital for enabling flexible scheduling of telescope observations and enhancing observational efficiency. This study aims to develop a forecasting mechanism for atmospheric seeing over both short timescales (one to two hours) and long timescales (up to three days), based on a combination of the mesoscale meteorological model Weather Research and Forecasting (WRF) and Recurrent Neural Networks (RNN). The WRF model predicts meteorological parameters for a given future period at the target astronomical site, which, when coupled with an atmospheric seeing analytical model, facilitates seeing forecasts for a long-time scale. Concurrently, the RNN establishes a relationship between observed meteorological parameters and seeing, enabling short time-scale predictions of atmospheric seeing at the site. Experiments conducted at target astronomical observatory demonstrate the reliability of our proposed forecasting strategy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kang Huang, Yonghui Hou, Tianzhu Hu, and Teng Xu "A strategy for forecasting the seeing of astronomical site at short and long time-scales", Proc. SPIE 13098, Observatory Operations: Strategies, Processes, and Systems X, 130982F (25 July 2024); https://doi.org/10.1117/12.3018837

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available