Mustafa Mwinjuma , Ren Wang , Msafiri Mtupili , Mnana Twaha
{"title":"SPI和SPEI在捕获干旱动态方面的比较:干旱和潮湿地区的全球评估","authors":"Mustafa Mwinjuma , Ren Wang , Msafiri Mtupili , Mnana Twaha","doi":"10.1016/j.atmosres.2025.108475","DOIUrl":null,"url":null,"abstract":"<div><div>Accurately capturing drought change is particularly important in the face of climate change, especially given the need to understand the influence of temperature changes on drought under different climatic conditions. In this study, we compared two drought indices, the Standardized Precipitation Index (SPI) based only on precipitation and the Standardized Precipitation Evapotranspiration Index (SPEI) based on precipitation and temperature, across global arid and humid regions for the period from 1991 to 2020. Through multi-scale analysis of gridded climate data spanning 1- to 24-month timescales, we systematically investigated how temperature influences drought characterization across arid and humid regions. Key findings reveal fundamental divergences in drought detection: while SPI and SPEI show strong agreement in humid regions (R<sup>2</sup> > 0.80), their correlation declines sharply along the aridity gradient, reaching complete divergence (Δ = −100 %) in hyper-arid zones. The SPEI identifies 22–35 % more drought events than the SPI in arid/semi-arid regions, with differences magnifying at longer timescales (24-month, <em>r</em> = 0.58). Moreover, trend analysis demonstrates that SPEI-detected drought intensification occurs twice as rapidly as SPI trends in critical agricultural zones (−0.14 vs. −0.07), implicating rising temperatures in accelerated aridification. Notably, most semi-arid regions show significantly stronger drying trends in the SPEI, highlighting the index's enhanced sensitivity to climate change impacts. These results challenge the use of precipitation-only indices in water-limited ecosystems, demonstrating that SPI underestimates drought frequency by 18–27 % and severity by 1.2–2.3 standardized units in drylands. Our study highlights the critical need of weighting temperature effects according to regional climatic conditions, with immediate implications for early warning systems in a changing climate.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"329 ","pages":"Article 108475"},"PeriodicalIF":4.4000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparisons of SPI and SPEI in capturing drought dynamics: A Global assessment across arid and humid regions\",\"authors\":\"Mustafa Mwinjuma , Ren Wang , Msafiri Mtupili , Mnana Twaha\",\"doi\":\"10.1016/j.atmosres.2025.108475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Accurately capturing drought change is particularly important in the face of climate change, especially given the need to understand the influence of temperature changes on drought under different climatic conditions. In this study, we compared two drought indices, the Standardized Precipitation Index (SPI) based only on precipitation and the Standardized Precipitation Evapotranspiration Index (SPEI) based on precipitation and temperature, across global arid and humid regions for the period from 1991 to 2020. Through multi-scale analysis of gridded climate data spanning 1- to 24-month timescales, we systematically investigated how temperature influences drought characterization across arid and humid regions. Key findings reveal fundamental divergences in drought detection: while SPI and SPEI show strong agreement in humid regions (R<sup>2</sup> > 0.80), their correlation declines sharply along the aridity gradient, reaching complete divergence (Δ = −100 %) in hyper-arid zones. The SPEI identifies 22–35 % more drought events than the SPI in arid/semi-arid regions, with differences magnifying at longer timescales (24-month, <em>r</em> = 0.58). Moreover, trend analysis demonstrates that SPEI-detected drought intensification occurs twice as rapidly as SPI trends in critical agricultural zones (−0.14 vs. −0.07), implicating rising temperatures in accelerated aridification. Notably, most semi-arid regions show significantly stronger drying trends in the SPEI, highlighting the index's enhanced sensitivity to climate change impacts. These results challenge the use of precipitation-only indices in water-limited ecosystems, demonstrating that SPI underestimates drought frequency by 18–27 % and severity by 1.2–2.3 standardized units in drylands. Our study highlights the critical need of weighting temperature effects according to regional climatic conditions, with immediate implications for early warning systems in a changing climate.</div></div>\",\"PeriodicalId\":8600,\"journal\":{\"name\":\"Atmospheric Research\",\"volume\":\"329 \",\"pages\":\"Article 108475\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169809525005678\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169809525005678","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Comparisons of SPI and SPEI in capturing drought dynamics: A Global assessment across arid and humid regions
Accurately capturing drought change is particularly important in the face of climate change, especially given the need to understand the influence of temperature changes on drought under different climatic conditions. In this study, we compared two drought indices, the Standardized Precipitation Index (SPI) based only on precipitation and the Standardized Precipitation Evapotranspiration Index (SPEI) based on precipitation and temperature, across global arid and humid regions for the period from 1991 to 2020. Through multi-scale analysis of gridded climate data spanning 1- to 24-month timescales, we systematically investigated how temperature influences drought characterization across arid and humid regions. Key findings reveal fundamental divergences in drought detection: while SPI and SPEI show strong agreement in humid regions (R2 > 0.80), their correlation declines sharply along the aridity gradient, reaching complete divergence (Δ = −100 %) in hyper-arid zones. The SPEI identifies 22–35 % more drought events than the SPI in arid/semi-arid regions, with differences magnifying at longer timescales (24-month, r = 0.58). Moreover, trend analysis demonstrates that SPEI-detected drought intensification occurs twice as rapidly as SPI trends in critical agricultural zones (−0.14 vs. −0.07), implicating rising temperatures in accelerated aridification. Notably, most semi-arid regions show significantly stronger drying trends in the SPEI, highlighting the index's enhanced sensitivity to climate change impacts. These results challenge the use of precipitation-only indices in water-limited ecosystems, demonstrating that SPI underestimates drought frequency by 18–27 % and severity by 1.2–2.3 standardized units in drylands. Our study highlights the critical need of weighting temperature effects according to regional climatic conditions, with immediate implications for early warning systems in a changing climate.
期刊介绍:
The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.