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Conservative and accurate data remapping for coupling climate models (WRF and CAM).

机译:耦合气候模型(WRF和CAM)的保守,准确的数据重新映射。

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摘要

The two-way coupling of WRF and CAM for regional climate modeling requires transferring data (such as wind velocities, temperature, moisture, etc.) between the grids of WRF and CAM. These grids are in general non-matching, and the data transfer should be both physical conservative and numerically accurate. Our method contains two parts: constructing the common refinement and conservative data transfer using the common refinement. The former computes the cell intersections and provides the necessary data structures for the latter. We project the grids of WRF and CAM onto a plain surface using their corresponding map projection methods (such as: Lambert conformal projection). Then common refinement method will locate the edge intersection points of two grids, and determine sub-facets to create a new mesh based on the union of the intersection points and vertices of the original two grids within the overlapping area. After obtaining the common refinement mesh, we use a weighted-residual formulation, which minimizes the L-2 norm of the error, to complete the data transfer. The L-2 minimization method satisfies physical conservation and at the same time is as accurate as interpolation.
机译:WRF和CAM的双向耦合用于区域气候建模需要在WRF和CAM的网格之间传输数据(例如风速,温度,湿度等)。这些网格通常是不匹配的,数据传输应既物理保守又在数值上准确。我们的方法包括两个部分:构造通用细化和使用通用细化进行保守的数据传输。前者计算像元相交,并为后者提供必要的数据结构。我们使用其对应的地图投影方法(例如:Lambert保形投影)将WRF和CAM的网格投影到平面上。然后,常用的细化方法将定位两个网格的边缘相交点,并基于交叠区域内原始两个网格的相交点和顶点的并集,确定子面以创建新网格。在获得通用细化网格后,我们使用加权残差公式(该公式将误差的L-2范数最小化)完成数据传输。 L-2最小化方法满足物理守恒要求,同时精度与插值一样。

著录项

  • 作者

    Chen, Ying.;

  • 作者单位

    State University of New York at Stony Brook.;

  • 授予单位 State University of New York at Stony Brook.;
  • 学科 Applied Mathematics.;Atmospheric Sciences.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 89 p.
  • 总页数 89
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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