In-Orbit Calibration of FengYun-3C Microwave Radiation Imager: Nonlinearity Correction
In-Orbit Calibration of FengYun-3C Microwave Radiation Imager: Nonlinearity Correction
复制标题
风云三号C微波辐射成像仪在轨定标:非线性校正
DOI:
10.1109/tgrs.2020.3034302
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发表时间:
2021-09
影响因子:
8.2
通讯作者:
Songyan Gu
中科院分区:
文献类型:
--
作者:
Xinxin Xie;Kesong Dong;Weimin Yu;Wanting Meng;Songyan Gu
FengYun-3C (FY-3C) is the second-generation polar-orbiting meteorological satellite in China. As one of the most important microwave payloads deployed onboard FY-3C, microwave radiation imager (MWRI) has been continuously observing radiance originating from land and sea surface and supports numerical weather predictions at regional and global scales. With a long-term monitoring of the cold-end reference, MWRI onboard FY-3C was found suffering from discontinuous observations due to its temporary power-OFF/power-ON in the years of 2015 and 2018, resulting in anomalous brightness temperature (TB) jump up to 2–3 K in magnitude at some channels. Analysis of the operating status of FY-3C MWRI indicated that deviation of the receiver system from its optimal operating status affects the nonlinearity characteristics significantly. A correction algorithm, which relates nonlinearity to the autogain control (AGC) operating voltage of the sensor, is thus proposed on the basis of on-ground thermal/vacuum (T/V) test results in the prelaunch phase in order to mitigate the calibration anomalies of FY-3C MWRI. Nonlinearity correction of FY-3C MWRI is further corroborated by comparisons of simultaneously overlapping observations of global precipitation measurement (GPM) microwave imager (GMI). The results demonstrated that after nonlinearity correction the performance of FY-3C MWRI has been improved at all channels except for the 36-V channel where technical failures have been detected since October 2016.
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影响因子:
8.2
作者:
Rachael A. Kroodsma;D. McKague;C. Ruf
通讯作者:
Rachael A. Kroodsma;D. McKague;C. Ruf
影响因子:
8.2
作者:
Xinxin Xie;Shengli Wu;Hongxin Xu;Weimin Yu;Jiakai He;Songyan Gu
通讯作者:
Songyan Gu
DOI:
10.3390/rs10111770
发表时间:
2018-11
期刊:
Remote. Sens.
影响因子:
--
作者:
Ruanyu Zhang;Zhenzhan Wang;K. Hilburn
通讯作者:
Ruanyu Zhang;Zhenzhan Wang;K. Hilburn
影响因子:
8.2
作者:
Rachael A. Kroodsma;D. McKague;C. Ruf
通讯作者:
Rachael A. Kroodsma;D. McKague;C. Ruf
DOI:
10.1109/36.739079
发表时间:
1999
期刊:
IEEE Trans. Geosci. Remote. Sens.
影响因子:
--
作者:
M. Colton;G. Poe
通讯作者:
M. Colton;G. Poe