论文标题
Thor+Helios一般循环模型:多波长辐射转移,具有云/危险的精确散射
The THOR+HELIOS general circulation model: multi-wavelength radiative transfer with accurate scattering by clouds/hazes
论文作者
论文摘要
通用循环模型(GCM)提供了解释潮汐锁定系外行星大气的多波长的多相多相数据的上下文。在当前的研究中,非静态Thor GCM首次与Helios辐射转移求解器结合,并由平衡化学求解器(FastChem),不透明度计算器(Helios-K)和MIE散射代码(LX-MIE)支持。为了准确治疗中等大小至大型气溶胶/冷凝物的辐射散射,首次在GCM内实施了改进的两流辐射转移。与过去版本的Helios中使用的迭代方法相比,使用两流通量溶液的托马斯算法公式实现了多个散射。作为一个案例研究,我们介绍了热木星黄蜂的四个GCM,在其中比较了使用常规与改进的二流辐射转移和等于非相对于非相位的层,在其中比较了温度,速度,熵和流函数以及合成光谱和相位曲线。尽管全球气候在质性上是稳健的,但合成光谱和相位曲线对这些细节敏感。 Thor+Helios WASP-43B GCM(在球体上的水平分辨率约为4度,带有40个径向点),其多波长辐射转移(30 K-table箱)运行3000 Earth Days(864,000个时间步),大约需要19-26天才能完成依靠GPU的类型才能完成。
General circulation models (GCMs) provide context for interpreting multi-wavelength, multi-phase data of the atmospheres of tidally locked exoplanets. In the current study, the non-hydrostatic THOR GCM is coupled with the HELIOS radiative transfer solver for the first time, supported by an equilibrium chemistry solver (FastChem), opacity calculator (HELIOS-K) and Mie scattering code (LX-MIE). To accurately treat the scattering of radiation by medium-sized to large aerosols/condensates, improved two-stream radiative transfer is implemented within a GCM for the first time. Multiple scattering is implemented using a Thomas algorithm formulation of the two-stream flux solutions, which decreases the computational time by about 2 orders of magnitude compared to the iterative method used in past versions of HELIOS. As a case study, we present four GCMs of the hot Jupiter WASP-43b, where we compare the temperature, velocity, entropy, and streamfunction, as well as the synthetic spectra and phase curves, of runs using regular versus improved two-stream radiative transfer and isothermal versus non-isothermal layers. While the global climate is qualitatively robust, the synthetic spectra and phase curves are sensitive to these details. A THOR+HELIOS WASP-43b GCM (horizontal resolution of about 4 degrees on the sphere and with 40 radial points) with multi-wavelength radiative transfer (30 k-table bins) running for 3000 Earth days (864,000 time steps) takes about 19-26 days to complete depending on the type of GPU.