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

9616811 Gutowski 观测研究表明，相对于其他重要的气象领域，水蒸气的分布是高度结构化的，因此，可能需要特殊的数值处理才能准确有效地建模。 对于气候模拟来说尤其如此，因为计算限制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）技术来模拟大气水蒸气的水平和垂直分布。 开发将在有限区域模型上进行，该模型将允许对水蒸气场的模型模拟与最近名为 STORM-FEST 的现场实验中获得的高分辨率水蒸气探测进行比较。 观测研究还表明，水蒸气分布有时受到等熵表面的限制。 因此，CDGA 可以在水汽场是等熵的区域（计算更简单）产生等熵网格，并且自然会避免分布非等熵的等熵网格。 PI 将探索 CDGA 在多大程度上提供了一种平滑、动态的方法来利用大气中的等熵行为，而无需对等熵和非等熵动力学之间的过渡将在何处发生进行先验假设。 这项研究将为云、能源和水在全球气候变化计划中的作用的目标做出重要贡献。 ***

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. ***