MODIS BRIGHTNESS TEMPERATURE DATA ASSIMILATION UNDER CLOUDY CONDITIONS: METHODS AND IDEAL TESTS
MODIS BRIGHTNESS TEMPERATURE DATA ASSIMILATION UNDER CLOUDY CONDITIONS: METHODS AND IDEAL TESTS
复制标题
多云条件下MODIS亮度温度数据同化:方法和理想测试
DOI:
--
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发表时间:
2010
影响因子:
1.2
通讯作者:
Huang Yan-yan
中科院分区:
文献类型:
--
作者:
Ding Wei-yu;Wan Qi-lin;Zhang Chen-zhong;Chen Zi-tong;Huang Yan-yan
Clouds have important effects on the infrared radiances transmission in that the inclusion of cloud effects in data assimilation can not only improve the quality of the assimilated atmospheric parameters greatly, but also minimize the initial error of cloud parameters by adjusting part of the infrared radiances data. On the basis of the Grapes-3Dvar (Global and Regional Assimilation and Prediction Enhanced System), cloud liquid water, cloud ice water and cloud cover are added as the governing variables in the assimilation. Under the conditions of clear sky, partly cloudy cover and totally cloudy cover, the brightness temperature of 16 MODIS channels are assimilated respectively in ideal tests. The results show that when the simulated background brightness temperatures are lower than the observation, the analyzed field will increase the simulated brightness temperature by increasing its temperature and reducing its moisture, cloud liquid water, cloud ice water, and cloud cover. The simulated brightness temperature can be reduced if adjustment is made in the contrary direction. The adjustment of the temperature and specific humidity under the clear sky conditions conforms well to the design of MODIS channels, but it is weakened for levels under cloud layers. The ideal tests demonstrate that by simultaneously adding both cloud parameters and atmospheric parameters as governing variables during the assimilation of infrared radiances, both the cloud parameters and atmospheric parameters can be adjusted using the observed infrared radiances and conventional meteorological elements to make full use of the infrared observations.
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DOI:
10.1175/1520-0450(2001)040
发表时间:
2001-08
期刊:
Journal of Applied Meteorology
影响因子:
--
作者:
E. Valor;V. Meneu;V. Caselles
通讯作者:
E. Valor;V. Meneu;V. Caselles
影响因子:
--
作者:
D. Wei
通讯作者:
D. Wei
影响因子:
3.1
作者:
R. Pfeffer
通讯作者:
R. Pfeffer
影响因子:
3.2
作者:
D. Dowell;Fuqing Zhang;Louis J. Wicker;C. Snyder;N. A. Crook
通讯作者:
D. Dowell;Fuqing Zhang;Louis J. Wicker;C. Snyder;N. A. Crook
影响因子:
8.9
作者:
E. Andersson;J. Pailleux;J. Thepaut;J. Eyre;A. Mcnally;G. Kelly;P. Courtier
通讯作者:
E. Andersson;J. Pailleux;J. Thepaut;J. Eyre;A. Mcnally;G. Kelly;P. Courtier