为了考虑预见期内降水预报的不确定性对洪水预报的影响,采用中国气象局、美国环境预测中心和欧洲中期天气预报中心的TIGGE(THORPEX Interactive Grand Global Ensemble)降水预报数据驱动GR4J水文模型,开展三峡入库洪水集合概率预报,分...为了考虑预见期内降水预报的不确定性对洪水预报的影响,采用中国气象局、美国环境预测中心和欧洲中期天气预报中心的TIGGE(THORPEX Interactive Grand Global Ensemble)降水预报数据驱动GR4J水文模型,开展三峡入库洪水集合概率预报,分析比较BMA、Copula-BMA、EMOS、M-BMA 4种统计后处理方法的有效性。结果表明:4种统计后处理方法均能提供一个合理可靠的预报置信区间;其期望值预报精度相较于确定性预报有所提高,尤其是水量误差显著减小;M-BMA方法概率预报效果最佳,它能够考虑预报分布的异方差性,不需要进行正态变换,结构简单,应用灵活。展开更多
Traditional Chinese medicine(TCM) has been an indispensable source of drugs for curing various human diseases.However,the inherent chemical diversity and complexity of TCM restricted the safety and efficacy of its usa...Traditional Chinese medicine(TCM) has been an indispensable source of drugs for curing various human diseases.However,the inherent chemical diversity and complexity of TCM restricted the safety and efficacy of its usage.Over the past few decades,the combination of liquid chromatography with mass spectrometry has contributed greatly to the TCM qualitative analysis.And novel approaches have been continuously introduced to improve the analytical performance,including both the data acquisition methods to generate a large and informative dataset,and the data post-processing tools to extract the structure-related MS information.Furthermore,the fast-developing computer techniques and big data analytics have markedly enriched the data processing tools,bringing benefits of high efficiency and accuracy.To provide an up-to-date review of the latest techniques on the TCM qualitative analysis,multiple data-independent acquisition methods and data-dependent acquisition methods(precursor ion list,dynamic exclusion,mass tag,precursor ion scan,neutral loss scan,and multiple reaction monitoring)and post-processing techniques(mass defect filtering,diagnostic ion filtering,neutral loss filtering,mass spectral trees similarity filter,molecular networking,statistical analysis,database matching,etc.) were summarized and categorized.Applications of each technique and integrated analytical strategies were highlighted,discussion and future perspectives were proposed as well.展开更多
Precise interferometric synthetic aperture radar (InSAR) is a new intelligent photogrammetric technology that uses automatic imaging and processing means. Precise InSAR has become the most efficient satellite surveyin...Precise interferometric synthetic aperture radar (InSAR) is a new intelligent photogrammetric technology that uses automatic imaging and processing means. Precise InSAR has become the most efficient satellite surveying and mapping (SASM) method that uses the interferometric phase to create a global digital elevation model (DEM) with high precision. In this paper, we propose the application of systematic InSAR technologies to SASM. Three key technologies are proposed: calibration technology, data processing technology and post-processing technology. First, we need to calibrate the geometric and interferometric parameters including the azimuth time delay, range time delay, and atmospheric delay, as well as baseline errors. Second, we use the calibrated parameters to create a precise DEM. One of the important procedures in data processing is the determination of phase ambiguities. Finally, we improve the DEM quality through the joint use of the block adjustment method, long and short baseline combination method and descending and ascending data merge method. We use 6 sets of TanDEM-X data covering Shanxi to conduct the experiment. The root mean square error of the final DEM is 5.07 m in the mountainous regions. In addition, the low coherence area is 0.8 km 2. The result meets the China domestic SASM accuracy standard at both the 1∶50 000 and 1∶25 000 measurement scales.展开更多
文摘为了考虑预见期内降水预报的不确定性对洪水预报的影响,采用中国气象局、美国环境预测中心和欧洲中期天气预报中心的TIGGE(THORPEX Interactive Grand Global Ensemble)降水预报数据驱动GR4J水文模型,开展三峡入库洪水集合概率预报,分析比较BMA、Copula-BMA、EMOS、M-BMA 4种统计后处理方法的有效性。结果表明:4种统计后处理方法均能提供一个合理可靠的预报置信区间;其期望值预报精度相较于确定性预报有所提高,尤其是水量误差显著减小;M-BMA方法概率预报效果最佳,它能够考虑预报分布的异方差性,不需要进行正态变换,结构简单,应用灵活。
基金financially supported by National Key R&D Program of China (2018YFC1707900, 2019YFC1711000, and 2019YFC1711400)National Natural Science Foundation of China (82003938)+1 种基金State Key Program of National Natural Science Foundation of China (81530095)Qi-Huang Scholar of National Traditional Chinese Medicine Leading Talents Support Program (2018)。
文摘Traditional Chinese medicine(TCM) has been an indispensable source of drugs for curing various human diseases.However,the inherent chemical diversity and complexity of TCM restricted the safety and efficacy of its usage.Over the past few decades,the combination of liquid chromatography with mass spectrometry has contributed greatly to the TCM qualitative analysis.And novel approaches have been continuously introduced to improve the analytical performance,including both the data acquisition methods to generate a large and informative dataset,and the data post-processing tools to extract the structure-related MS information.Furthermore,the fast-developing computer techniques and big data analytics have markedly enriched the data processing tools,bringing benefits of high efficiency and accuracy.To provide an up-to-date review of the latest techniques on the TCM qualitative analysis,multiple data-independent acquisition methods and data-dependent acquisition methods(precursor ion list,dynamic exclusion,mass tag,precursor ion scan,neutral loss scan,and multiple reaction monitoring)and post-processing techniques(mass defect filtering,diagnostic ion filtering,neutral loss filtering,mass spectral trees similarity filter,molecular networking,statistical analysis,database matching,etc.) were summarized and categorized.Applications of each technique and integrated analytical strategies were highlighted,discussion and future perspectives were proposed as well.
文摘Precise interferometric synthetic aperture radar (InSAR) is a new intelligent photogrammetric technology that uses automatic imaging and processing means. Precise InSAR has become the most efficient satellite surveying and mapping (SASM) method that uses the interferometric phase to create a global digital elevation model (DEM) with high precision. In this paper, we propose the application of systematic InSAR technologies to SASM. Three key technologies are proposed: calibration technology, data processing technology and post-processing technology. First, we need to calibrate the geometric and interferometric parameters including the azimuth time delay, range time delay, and atmospheric delay, as well as baseline errors. Second, we use the calibrated parameters to create a precise DEM. One of the important procedures in data processing is the determination of phase ambiguities. Finally, we improve the DEM quality through the joint use of the block adjustment method, long and short baseline combination method and descending and ascending data merge method. We use 6 sets of TanDEM-X data covering Shanxi to conduct the experiment. The root mean square error of the final DEM is 5.07 m in the mountainous regions. In addition, the low coherence area is 0.8 km 2. The result meets the China domestic SASM accuracy standard at both the 1∶50 000 and 1∶25 000 measurement scales.
