期刊
GEOPHYSICAL RESEARCH LETTERS
卷 37, 期 -, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2010GL043017
关键词
-
资金
- State of Texas through Houston Advanced Research Center
- Texas Environmental Research Consortium
- Texas Commission on Environmental Quality
- National Science Foundation [ATM-0840651]
- Directorate For Geosciences
- Div Atmospheric & Geospace Sciences [0840651] Funding Source: National Science Foundation
This study explores the treatment of model error and uncertainties through simultaneous state and parameter estimation (SSPE) with an ensemble Kalman filter (EnKF) in the simulation of a 2006 air pollution event over the greater Houston area during the Second Texas Air Quality Study (TexAQS-II). Two parameters in the atmospheric boundary layer parameterization associated with large model sensitivities are combined with standard prognostic variables in an augmented state vector to be continuously updated through assimilation of wind profiler observations. It is found that forecasts of the atmosphere with EnKF/SSPE are markedly improved over experiments with no state and/or parameter estimation. More specifically, the EnKF/SSPE is shown to help alleviate a near-surface cold bias and to alter the momentum mixing in the boundary layer to produce more realistic wind profiles. Citation: Hu, X.-M., F. Zhang, and J. W. Nielsen-Gammon (2010), Ensemble based simultaneous state and parameter estimation for treatment of mesoscale model error: A real-data study, Geophys. Res. Lett., 37, L08802, doi: 10.1029/2010GL043017.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据