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However, existing tools for drought analysis face several limitations, including restricted functionality to single-variable indices, reliance on predefined probability distributions, lack of flexibility in choosing distributions, and the need for advanced programming expertise. These constraints hinder comprehensive and accurate drought assessments. This study introduces DroughtStats, a novel, user-friendly software designed to overcome these challenges and enhance drought analysis capabilities. DroughtStats integrates advanced statistical tools to analyze hydrometeorological data, compute both single-variable and multivariable drought indices using empirical and parametric methods, and evaluate drought characteristics with improved accuracy. Notably, it supports a broader range of probability distributions, performs copula-based analyses, and estimates potential evapotranspiration using multiple methods, including Penman\u2013Monteith. Additionally, DroughtStats can analyze the relationship between different datasets using techniques like copula-based Kendall\u2019s tau. By addressing the limitations of existing tools, DroughtStats provides a more flexible and comprehensive approach to drought monitoring. Its versatility and global applicability are demonstrated through a case study in Turkey\u2019s \u00c7oruh River Basin (CRB), where drought indices based on precipitation and streamflow are calculated to characterize drought conditions. The results show that DroughtStats can successfully identify and characterize drought events at various time scales, providing valuable insights into drought severity, frequency, and recovery, and offering a reliable tool for ongoing drought monitoring and management.<\/jats:p>","DOI":"10.1007\/s12145-024-01687-8","type":"journal-article","created":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T13:28:34Z","timestamp":1736429314000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["DroughtStats: A comprehensive software for drought monitoring and analysis"],"prefix":"10.1007","volume":"18","author":[{"given":"Tolga Bar\u0131\u015f","family":"Terzi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bihrat","family":"\u00d6n\u00f6z","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,1,9]]},"reference":[{"key":"1687_CR1","doi-asserted-by":"publisher","first-page":"8847","DOI":"10.1002\/2014gl062308","volume":"41","author":"A AghaKouchak","year":"2014","unstructured":"AghaKouchak A, Cheng L, Mazdiyasni O, Farahmand A (2014) Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought. 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