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Proceedings Paper

Estimation of wet variable’s background error information for regional model
Author(s): Yanlai Zhao; Weimin Zhang; Ruihong Mo
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Paper Abstract

In order to improve the humidity analysis of the WRF model, a new multivariable balance constraint scheme has been introduced to estimate wet variable’s background error information from a series of historical forecasts. The new scheme consists of three critical procedures: physical transformation, vertical transformation and horizontal transformation. By removing the balanced part associated with other control variables, the unbalanced part of relative humidity is used as the new wet control variable. Statistical results show that relative humidity’s background error structure appears an obviously localized characterization, which has a large negative value on model high level in the vertical direction and a stable characteristic length scales about 20km in the horizontal direction.

Paper Details

Date Published: 9 August 2018
PDF: 5 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063U (9 August 2018); doi: 10.1117/12.2502938
Show Author Affiliations
Yanlai Zhao, National Univ. of Defense Technology (China)
Weimin Zhang, National Univ. of Defense Technology (China)
Ruihong Mo, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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