Adaptive bias correction of advanced infrared sounding radiance assimilation in a regional model and its impact on typhoon forecast
Adaptive bias correction of advanced infrared sounding radiance assimilation in a regional model and its impact on typhoon forecast
复制标题
区域模式中先进红外探测辐射同化的自适应偏差修正及其对台风预报的影响
DOI：
10.1117/1.jrs.12.026012
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发表时间：
2018-04
影响因子：
1.7
通讯作者：
Gao Wei
中科院分区：
文献类型：
--
作者：
Liu Yan-An;Huang Hung-Lung Allen;Lim Agnes Huei Ni;Gao Wei
Abstract. Hyperspectral infrared remote sensing can provide the information about temperature and humidity of the atmosphere at high vertical resolution and high accuracy. To assimilate its radiances directly, we must correct biases between the observed radiances and the simulated ones from the model first guess, caused by systematic error of radiances and by the radiative transfer model and assimilating system. The method used for bias correction was developed for global models, and its adaptation to regional models raises further questions. This study is based on coupling the mesoscale numerical model weather research and forecast and gridpoint statistical interpolation assimilation system, using adaptive variational bias correction (VarBC) to the scan angle and air-mass factor, and investigates the characteristics of bias correction coefficients for the regional model. It was found that advanced infrared sounder (AIRS) channels located in the 15-μm CO2 absorption band had large scan bias, and that its nadir bias had a time dependence, which is probably due to the bias from the radiative transfer model. By contrast, other channels had small scan bias and weak time dependence. In air-mass bias correction, predictors of zenith and temperature lapse rate had huge oscillations due to variations in data coverage from the regional models. The effect of this scheme on correction in a regional model was verified via the histogram analysis of innovation. The verification showed that correction on most of the channels got satisfactory results except for several land surface channels. The corrected histogram satisfied the requirement of an unbiased normal distribution. In a typhoon forecast experiment, the influence of radiance bias correction on forecast result was tested. It showed that, compared with parameters from the global model, regional radiance correction parameters study improved the prediction of the typhoon 72-h forecast.
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DOI：
10.1002/qj.49712757418
发表时间：
2001-04-01
影响因子：
8.9
作者：
Harris, BA;Kelly, G
通讯作者：
Kelly, G
影响因子：
8.9
作者：
Yanqiu Zhu;J. Derber;A. Collard;D. Dee;R. Treadon;G. Gayno;James Jung
通讯作者：
Yanqiu Zhu;J. Derber;A. Collard;D. Dee;R. Treadon;G. Gayno;James Jung
影响因子：
8
作者：
J. Marshall;James Jung;J. Derber;M. Chahine;R. Treadon;S. Lord;M. Goldberg;W. Wolf;Hongyu Liu;J. Joiner;J. Woollen;R. Todling;P. V. Delst;Y. Tahara
通讯作者：
J. Marshall;James Jung;J. Derber;M. Chahine;R. Treadon;S. Lord;M. Goldberg;W. Wolf;Hongyu Liu;J. Joiner;J. Woollen;R. Todling;P. V. Delst;Y. Tahara
DOI：
--
发表时间：
2004
期刊：
--
影响因子：
--
作者：
D. Dee
通讯作者：
D. Dee
影响因子：
8
作者：
Chahine, Moustafa T.;Pagano, Thomas S.;Zhou, Lihang
通讯作者：
Zhou, Lihang