论文标题
浅云的对流在土地上以云的消化模拟和耦合的射线示踪剂
Shallow cumulus convection over land in cloud-resolving simulations with a coupled ray tracer
论文作者
论文摘要
我们介绍了土地上积云对流的模拟，其短波辐射是由蒙特卡洛射线示踪剂与流量求解器耦合的。射线追踪提供非常现实的云中加热率和全球水平辐照度场。射线示踪剂的必要性能是通过GPU计算的原始功率以及加速数据查找和射线示踪剂收敛的技术来实现的。我们使用荷兰草原上的案例研究将模拟与耦合射线示踪剂与具有传统两流求解器的耦合射线示踪剂进行比较，并测试了射线示踪剂收敛。我们证明了模拟的云演化在射线示踪剂中的各种样品尺寸上不敏感。此外，带有耦合射线示踪剂的模拟产生表面辐照度模式，类似于观察结果，并通过局部增强的表面热通量强烈反馈到云的演变。
We present simulations of cumulus convection over land with shortwave radiation computed by a Monte Carlo ray tracer coupled to the flow solver. Ray tracing delivers very realistic in-cloud heating rates and global horizontal irradiance fields. The necessary performance of the ray tracer has been enabled by the raw power of GPU computing and from techniques for accelerating data lookup and ray tracer convergence. We used a case study over a grassland in the Netherlands to compare simulations with a coupled ray tracer to those with a conventional two-stream solver, and to test ray tracer convergence. We demonstrate that the simulated cloud evolution is insensitive across a wide range of samples sizes in the ray tracer. Furthermore, simulations with a coupled ray tracer produce surface irradiance patterns that resemble observations and that strongly feed back to the evolution of clouds via locally enhanced surface heat fluxes.
