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Journal of Applied Remote Sensing

Tuning of background error statistics through sensitivity experiments and its impact on typhoon forecast
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Paper Abstract

Background error covariance (B) matrix is critical for variational data assimilation as it greatly affects the analyses of three-dimensional variational assimilation. The National Meteorological Center method was used to estimate the B matrix using the forecasts from the Advanced Research Weather Research and Forecasting regional model. To further understand and evaluate the newly generated regional B matrix, its characteristics were compared with the global B estimated from the Global Forecast System model. Sensitivity experiments were undertaken by changing the horizontal length-scales and standard deviations of the B matrix, and its impacts on the typhoon forecast were also examined. Verification against radiosonde observations showed that the varying horizontal length-scale has a significant positive impact on the 24-h forecast of temperature, specific humidity, u-wind, and v-wind. On the other hand, changing standard deviations of the B matrix has a slight influence only on the specific humidity and wind (u-component) forecast. Compared with the global B, the tuned regional B showed improvements in temperature forecasts. In addition, using the tuned regional B also led to a positive impact on the typhoon (Saola, Damrey, and Haikui) track forecasts as compared with the untuned B and global B.

Paper Details

Date Published: 19 May 2015
PDF: 15 pages
J. Appl. Remote Sens. 9(1) 096051 doi: 10.1117/1.JRS.9.096051
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Yan-An Liu, East China Normal Univ. (China)
Univ. of Wisconsin–Madison (United States)
Hung-Lung Allen Huang, East China Normal Univ. (China)
Univ. of Wisconsin-Madison (United States)
Wei Gao, East China Normal Univ. (China)
Colorado State Univ. (United States)
Agnes H. N. Lim, Univ. of Wisconsin-Madison (United States)
Chaoshun Liu, East China Normal Univ. (China)
Runhe Shi, East China Normal Univ. (China)

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