Meteorological drought is analyzed both in time and space by using drought indices based on site-specific precipitation and temperature data. Departure of precipitation from its normal called in this study as the Dimensionless Precipitation Anomaly Index (DPAI) is used at annual scale, while the Standardized Precipitation Index (SPI) using precipitation and the Standardized Precipitation Evapotranspiration Index (SPEI) using precipitation and temperature are considered at monthly time scale. Five meteorological stations over Kucuk Menderes River Basin in the western part of Turkey are selected for the case study. Results are presented in the forms of drought index time series, drought risk graphs, and drought severity maps. The prolonged severe historical dry periods of the river basin are correctly identified by the drought indices. It is seen that simple tools such as the drought indices used in this study based on easily available meteorological data could explain temporal variability at a site or spatial variability over a river basin. They are therefore important not only for the scientific community dealing with drought as a research problem but also for decision-makers, stakeholders, and end-users making practice about the drought through water allocation studies and drought management plans.

通过基于特定地点的降水和温度数据的干旱指数，可以在时间和空间上分析气象干旱。在本研究中，将降水偏离其正常水平（在本研究中称为无量纲降水异常指数（DPAI）），而考虑了使用降水的标准降水指数（SPI）和使用降水和温度的标准降水蒸散指数（SPEI）以每月的时间范围。案例研究选择了土耳其西部库库克·孟德斯河流域上的五个气象站。结果以干旱指数时间序列，干旱风险图和干旱严重性图的形式表示。通过干旱指数可以正确地识别出流域延长的严重历史干旱时期。可以看出，本研究中使用的简单工具（如基于容易获得的气象数据的干旱指数）可以解释某个地点的时间变化或流域的空间变化。因此，它们不仅对于将干旱作为研究问题的科学界很重要，而且对于通过水分配研究和干旱管理计划进行干旱实践的决策者，利益相关者和最终用户也很重要。