Next-Generation Atmosphere Models for Giant Planets with Interpolator for Spectral Evolution: Cloudless Models

This dataset provides a grid of cloudless, isolated atmosphere models for giant planets, designed to serve as boundary conditions for interior and evolutionary calculations. The tables span a 4D parameter space in effective temperature, surface gravity, helium fraction, and metallicity. Data include temperature–pressure profiles, entropy at the radiative–convective boundary, and emergent spectra . A key feature of this release is the consistent treatment of both helium abundance (Y) and metallicity (Z), enabling applications to problems involving helium rain, composition gradients, and time-dependent atmospheric evolution. The dataset is accompanied by a lightweight Python interpolation toolkit that allows users to efficiently generate spectra and boundary conditions at arbitrary points or along evolutionary tracks in the 4D parameter space . These data are intended for use in modeling the thermal and spectral evolution of gas giants, as well as for forward-modeling observables such as spectra, colors, and light curves. For detailed documentation, data structure, and usage examples, please refer to the accompanying README.本数据集提供一套无云孤立的巨行星大气模型网格，专为行星内部结构与演化计算提供边界条件。该数据集覆盖有效温度（effective temperature）、表面重力（surface gravity）、氦丰度（helium fraction）与金属丰度（metallicity）构成的四维参数空间，包含温压剖面、辐射对流边界处的熵值以及出射光谱。 本次发布的核心特色在于对氦丰度（helium abundance，记为Y）与金属丰度（metallicity，记为Z）采用统一处理方案，可支撑氦雨、成分梯度及时变大气演化等相关研究问题。本数据集配套轻量级Python插值工具包，支持用户在四维参数空间内的任意点位或沿演化轨迹高效生成光谱与边界条件。 本数据集可用于气态巨行星的热演化与光谱演化建模，同时支持正演模拟光谱、颜色与光变曲线等可观测物理量。如需了解详细文档、数据结构说明与使用示例，请参阅配套的README文件。