中国空间科学技术（中英文）2025，Vol.45Issue(1)：69-80,12.DOI:10.16708/j.cnki.1000-758X.2025.0007
宜居行星观测变量体系验证方法研究
Validation method for habitable planets observation variable framework
摘要
Abstract
The exploration of habitable planets and the detection of potential biosignature are hot topics in the field of exoplanetary science,and represent frontier domains in astronomy and space science.The challenges of current research in this area include how to quantitatively assess planetary habitability and how to identify observational signals representing the presence of life.To address these challenges,an observation variable framework for habitable planets and its elements is introduced.A method is introduced to accurately estimate the habitability of exoplanets with limited understanding.To further validate the completeness of observation variable framework,a specific focus is directed towards investigating the mapping of observational parameters to habitable planets characteristics.By simulating atmospheric spectra of habitable planets,and analyzing the requirement to combine real observational data to verify the accuracy and effectiveness of models,it is underscored that the Earth is an excellent observational template for proxy habitable exoplanets.Additionally,studies which use the Earth as a proxy habitable exoplanet are analyzed by summarizing their observational methods,results,strengths and weaknesses.Building upon this foundation,a mission for spectroscopic observations of the Earth from deep space is proposed.This mission aims to acquire empirical data to validate the completeness of the observation variable framework and the mapping of observational parameters.Such validation serves as essential support for future endeavors in the detection of habitable exoplanets.关键词
宜居行星探测/观测变量体系/积分光谱/正反演Key words
exoplanet detection/observation variable framework/integral spectroscopy/forward model and retrieval分类
天文与地球科学引用本文复制引用
欧阳青林,刘冀林,霍卓玺,杨孟飞..宜居行星观测变量体系验证方法研究[J].中国空间科学技术（中英文）,2025,45(1):69-80,12.基金项目
"十四五"民用航天技术预先研究项目(D050105) （D050105）
国家自然科学基金企业创新发展联合基金(U23B6002) （U23B6002）
科技部国家重点研发计划(2019YFA0706601) （2019YFA0706601）
