Shi C.,Wuhan University |
Shi C.,Meteorological Observation Center |
Wang H.,Wuhan University |
Wang H.,Meteorological Observation Center |
And 4 more authors.
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | Year: 2016
The ground-based GNSS remote sensing water vapor detection got high spatial and temporal resolution atmospheric water vapor data by acquisition signal of satellite navigation system, made up the shortage of conventional sounding in space and time, which had important application value to the weather forecasting, climate research and artificial influence on weather. This paper used BeiDou experimental network data, combined with the radiosonde observation, made detailed comparative analysis among BeiDou, GPS and sounding system, gave the preliminary results of performance and accuracy of BeiDou vapor detection. The result of PWV were consistent detected by BeiDou, GPS and radiosonde, which well reflected the change regularity of PWV. PWV detected by BeiDou was more than that of GPS, there was a system error of 2-3.3 mm between the two systems. The two systems were more consistent when the PWV relatively lower. There were systematic errors and standard deviation between the water vapor detection by BeiDou and radiosonde. Positioning and orbit determination model need to be optimized. The stability of the system need to be improved. © 2016, Wuhan University All right reserved.
Bin W.,National Meteorological Information Center |
Min W.,National Meteorological Information Center |
Yongsheng L.,Guangdong Meteorological Information Center |
Huashan Y.,Peking University
2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings | Year: 2010
High performance computer (HPC) capability building has made raped progress in national headquarter and regional centers of China Meteorological Administration. To resolve fine-grained resource allocation, distributed resource sharing and scheduling, and system introduction evaluation, a unified measurement model for meteorological computing resources with wide applicability and practicability must be established. Taking into consideration related research and existing methods, a general, hybrid measurement model is proposed, integrating both the conventional industry benchmarks and meteorological domain-specific applications. As the core of the model, GCUP (General Computing Unit Productivity) is introduced as a common form to implement quantitative representation of heterogeneous computing resources. An implementation of the model has been made, including 5 object parameters. Performance benchmark and meteorological numerical model tests are run on 4 representative HPC systems distributed in national headquarter and regional centers of China Meteorological Administration. Based on GCUP data determined, an initial nationwide HPC resource usage statistical analysis is made. © 2010 IEEE.