吉尔吉斯斯坦共和国地处中亚东北部,天山山脉西麓,与新疆阿克苏地区接壤,研究其气象干旱时空特征对于了解中亚气象与环境变化,应对新疆气象与环境将出现的演变都具有一定的意义。基于英国East Anglia大学Climatic Research Unit(CRU)提...吉尔吉斯斯坦共和国地处中亚东北部,天山山脉西麓,与新疆阿克苏地区接壤,研究其气象干旱时空特征对于了解中亚气象与环境变化,应对新疆气象与环境将出现的演变都具有一定的意义。基于英国East Anglia大学Climatic Research Unit(CRU)提供的1971-2000年的数据资料,并结合来自世界气象组织(WMO)的9个吉尔吉斯斯坦气象站点国际交换数据,利用PDSI干旱指数的空间分布和年际间变化特点,分析了吉尔吉斯斯坦共和国近30a的气象干旱时空特征。结果表明:吉尔吉斯斯坦在空间上除东北角呈湿润等级,西北角呈干旱等级外,大部分区域处于干湿正常等级;全国四季干湿适当,大部分区域处于干湿正常等级;而在时间上吉尔吉斯斯坦西北部逐渐湿润化,而东南部逐渐干旱化,区域特征明显。展开更多
The Palmer drought severity index(PDSI) is physically based with multivariate concepts, but requires complicated calibration and cannot easily be used for multiscale comparison. Standardized drought indices(SDIs), suc...The Palmer drought severity index(PDSI) is physically based with multivariate concepts, but requires complicated calibration and cannot easily be used for multiscale comparison. Standardized drought indices(SDIs), such as the standardized precipitation index(SPI) and standardized precipitation evapotranspiration index(SPEI), are multiscalar and convenient for spatiotemporal comparison, but they are still challenged by their lack of physical basis. In this study, a hybrid multiscalar indicator, the standardized Palmer drought index(SPDI), was used to examine drought properties of two meteorological stations(the Beijing and Guangzhou stations) in China, which have completely different drought climatologies. The results of our case study show that the SPDI is correlated with the well-established drought indices(SPI, SPEI, and PDSI) and presents generally consistent drought/wetness conditions against multiple indicators and literature records. Relative to the PDSI, the SPDI demonstrates invariable statistical characteristics and better comparable drought/wetness frequencies over time and space. Moreover,characteristics of major drought events(drought class, and onset and end times) indicated by the SPDI are generally comparable to those detected by the PDSI. As a physically-based standardized multiscalar drought indicator, the SPDI can be regarded as an effective development of the Palmer drought indices, providing additional choices and tools for practical drought monitoring and assessment.展开更多
文摘吉尔吉斯斯坦共和国地处中亚东北部,天山山脉西麓,与新疆阿克苏地区接壤,研究其气象干旱时空特征对于了解中亚气象与环境变化,应对新疆气象与环境将出现的演变都具有一定的意义。基于英国East Anglia大学Climatic Research Unit(CRU)提供的1971-2000年的数据资料,并结合来自世界气象组织(WMO)的9个吉尔吉斯斯坦气象站点国际交换数据,利用PDSI干旱指数的空间分布和年际间变化特点,分析了吉尔吉斯斯坦共和国近30a的气象干旱时空特征。结果表明:吉尔吉斯斯坦在空间上除东北角呈湿润等级,西北角呈干旱等级外,大部分区域处于干湿正常等级;全国四季干湿适当,大部分区域处于干湿正常等级;而在时间上吉尔吉斯斯坦西北部逐渐湿润化,而东南部逐渐干旱化,区域特征明显。
基金supported by the National Natural Science Foundation of China(Grant No.41701022)the Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering(Grant No.2017491011)the Scientific and Technical Innovation Team Foundation for Universities of Henan Province(Grant No.18IRTSTHN009)
文摘The Palmer drought severity index(PDSI) is physically based with multivariate concepts, but requires complicated calibration and cannot easily be used for multiscale comparison. Standardized drought indices(SDIs), such as the standardized precipitation index(SPI) and standardized precipitation evapotranspiration index(SPEI), are multiscalar and convenient for spatiotemporal comparison, but they are still challenged by their lack of physical basis. In this study, a hybrid multiscalar indicator, the standardized Palmer drought index(SPDI), was used to examine drought properties of two meteorological stations(the Beijing and Guangzhou stations) in China, which have completely different drought climatologies. The results of our case study show that the SPDI is correlated with the well-established drought indices(SPI, SPEI, and PDSI) and presents generally consistent drought/wetness conditions against multiple indicators and literature records. Relative to the PDSI, the SPDI demonstrates invariable statistical characteristics and better comparable drought/wetness frequencies over time and space. Moreover,characteristics of major drought events(drought class, and onset and end times) indicated by the SPDI are generally comparable to those detected by the PDSI. As a physically-based standardized multiscalar drought indicator, the SPDI can be regarded as an effective development of the Palmer drought indices, providing additional choices and tools for practical drought monitoring and assessment.
