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.

本数据集提供了一套无云、孤立的巨行星大气模型网格，旨在作为行星内部结构与演化计算的边界条件。该数据集的参数表覆盖四维参数空间，涵盖有效温度、表面重力、氦丰度与金属丰度四个维度。数据集包含温度-压强廓线、辐射-对流边界处的熵值以及出射光谱。

本版本的核心特色在于对氦丰度（Y）与金属丰度（Z）采用了统一的处理方式，可用于研究氦雨、成分梯度以及时变大气演化等相关问题。本数据集配套了轻量化的Python插值工具包，支持用户在四维参数空间内的任意点或沿演化轨道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，也可用于正演模拟光谱、颜色与光变曲线等可观测天体物理量。如需了解详细文档、数据结构与使用示例，请参阅随附的README文件。