Temperature and Humidity Profiles Retrieval in a Plain Area from Fengyun-3D/HIRAS Sensor Using a 1D-VAR Assimilation Scheme
Temperature and Humidity Profiles Retrieval in a Plain Area from Fengyun-3D/HIRAS Sensor Using a 1D-VAR Assimilation Scheme
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DOI：
10.3390/rs12030435
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发表时间：
2020-01
期刊：
影响因子：
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通讯作者：
Liuhua Zhu;Yansong Bao;G. Petropoulos;Peng Zhang;Fenglian Lu;Q. Lu;Ying Wu;Dandan Xu
中科院分区：
文献类型：
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作者：
Liuhua Zhu;Yansong Bao;G. Petropoulos;Peng Zhang;Fenglian Lu;Q. Lu;Ying Wu;Dandan Xu
在这项研究中，一个一维变分（1D-VAR）的反演系统，提出了同时检索晴空条件下的温度和湿度大气廓线。我们的技术需要从风云-3D高光谱红外辐射大气探测（HIRAS）卫星的观测与天气研究和预报（WRF）模式相结合。在该方法中，辐射传输的TIROS业务垂直探测器（TOVS（RTTOV）模式也被用作前向观测算子。我们的方法的准确性进行了评估，作为一个案例研究，在中国北京地区。将预测的温度和湿度曲线与用作参考的ERA-Interim数据进行比较。温度曲线的平均偏差（MB）在-0.8 K到0.9 K之间变化，而均方根误差（RMSE）在0.5 K到2.6 K之间变化。在边界层，一维VAR算法的性能优于第一次猜测。在对流层中部，反演更依赖于第一个猜测。在相对湿度预测方面，整个对流层评估的准确性随着卫星观测的纳入而提高，报告的MB从-5.68%到2.83%不等。与红外大气探测器（Airs-Atmospheric Infrared Sounder，AIR）产品相比，温度廓线预报具有很好的一致性，湿度预报也具有可接受的预报精度。总而言之，结果清楚地证明了我们提出的方法在晴空条件下检索温度和湿度廓线的潜力。
In this study, a one-dimensional variational (1D-VAR) retrieval system is proposed to simultaneously retrieve temperature and humidity atmospheric profiles under clear-sky conditions. Our technique requires observations from the Fengyun-3D Hyperspectral Infrared Radiation Atmospheric Sounding (HIRAS) satellite combined with the Weather Research and Forecast (WRF) model. In the method, the radiative transfer for the TIROS Operational Vertical Sounder (TOVS (RTTOV) model is also used as a forward observation operator. The accuracy of our approach was evaluated using as a case study the region of Beijing in China. Predicted temperature and humidity profiles were compared against ERA-Interim data, which was used as reference. Mean bias (MB) of the temperature profiles varied between −0.8 K to 0.9 K, while the root-mean-square error (RMSE) ranged from 0.5 K to 2.6 K. In the boundary layer, the 1D-VAR algorithm performed better compared with the first guess. In the middle troposphere, the retrievals were more dependent on the first guess. With respect to relative humidity predictions, the accuracy of the evaluation of the whole troposphere was improved with the inclusion of the satellite observations, reporting an MB varying from −5.68% to 2.83%. Compared with Atmospheric Infrared Sounder’s (AIRS’) products, our predicted temperature profiles showed a very good consistency and the humidity predictions were also of an acceptable prediction accuracy. All in all, results clearly evidenced the promising potential of our proposed approach for retrieving temperature and humidity profiles under clear-sky conditions.