Dynamic Adaptive Grids for Modeling the Large-Scale Distribution of Atmospheric Water Vapor

小行星9616811 观测研究表明，相对于其他气象学上重要的领域，水汽的分布是高度结构化的，因此，可能需要特殊的数值处理来进行准确和有效的建模。 对于气候模拟来说，这可能尤其如此，因为计算约束限制了可行的分辨率。 主要研究人员将应用连续动态网格适应（CDGA）技术模拟大气水汽的水平和垂直分布。 将开发一个有限区域模型，以便对水汽场的模型模拟与最近一次称为STORM-FEST的实地试验期间获得的高分辨率水汽探测结果进行比较。 观测研究还表明，水汽分布有时受到等熵面的限制。 因此，CDGA可以在水汽场是等熵的区域中产生等熵网格（计算上更简单），并且自然地将避免分布是非等熵的等熵网格。 PI将探索CDGA在多大程度上提供了一种利用大气中等熵行为的平滑动态方法，而无需对等熵和非等熵动力学之间的转换将发生的位置进行先验假设。 这项研究将为云、能源和水在全球气候变化计划中的作用做出重要贡献。 ***

9616811 Gutowski Observational studies have shown that the distribution of water vapor is highly structured relative to other meteorologically important fields and, as a consequence, may require special numerical treatment for accurate and efficient modeling. This may be especially so for climate simulations there computational constraints limit the feasible resolution. The principal investigators will apply continuous dynamic grid adaptation (CDGA) techniques to model the horizontal and vertical distribution of atmospheric water vapor. Development will be done on a limited-area model which will allow for comparisons between model simulations of the water vapor fields and high resolution water-vapor soundings obtained during a recent field experiment called STORM-FEST. Observational studies also suggest that the water vapor distribution is, at times, confined by isentropic surfaces. The CDGA thus may produce an isentropic grid in regions where the water vapor field is isentropic (computationally simpler) and naturally will avoid an isentropic grid where the distribution is non-isentropic. The PIs will explore the extent to which CDGA provides a smooth, dynamic means of exploiting isentropic behavior in the atmosphere without making a priori assumptions about where the transitions between isentropic and non-isentropic dynamics will occur. This research will make an important contribution to the goals of the Role of Clouds, Energy, and Water in Global Climate Change Program. ***