{"title":"全球太阳辐照度的紫外线指数:根据云量和气团的表现","authors":"Agustín Laguarda, Gonzalo Abal","doi":"10.1007/s11869-025-01788-3","DOIUrl":null,"url":null,"abstract":"<div><p>Ultraviolet (UV) irradiance from the Sun has potential negative health impacts. Erythemal UV irradiance (UV-E) is obtained by weighting UV radiation in the 250-400 nm range with the average skin erythemal response function. UV-E is proportional to the UV Index (UVI), a tool used worldwide to inform the public about this environmental hazard. Since this magnitude is not currently measured at most meteorological sites, satellite based estimates are often used to generate UV-E information over broad areas. However, for a climatological characterization of variability and typical doses of UV-E, long time series with low biases are required. An alternative approach is to estimate UV-E from readily available information with which UV-E is highly correlated. This work builds upon previous research, which evaluated a simple model (Power Model or PM) to estimate UV-E from Global Horizontal Irradiance (GHI), relative air mass, and total atmospheric ozone concentration at the 10-minute level. In that general analysis, the model showed an uncertainty below 12% (as measured by its relative Root Mean Squared Deviation or rRMSD) when compared with ground UV-E measurements. Here, we present a more in-depth assessment of this model, using high-quality data from four mid-latitude temperate sites. The deviations of the model estimates from UVI ground measurements are analyzed under different cloudiness conditions and across a broad range of air masses. Our results confirm that PM performs best under clear skies and low air masses, precisely the conditions associated to the higher incident solar irradiances and potentially dangerous UV levels. Under these conditions, the PM has an average accuracy (rRMSD across sites) of less than 6% of the average of the measurements and outperforms. These results confirm that the model, particularly in its unbiased version, is a reliable and practical tool for the climatological analysis of erythemal UV irradiance.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 9","pages":"2687 - 2703"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"UV Index from Global Solar Irradiance: Performance according to cloudiness and air mass\",\"authors\":\"Agustín Laguarda, Gonzalo Abal\",\"doi\":\"10.1007/s11869-025-01788-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Ultraviolet (UV) irradiance from the Sun has potential negative health impacts. Erythemal UV irradiance (UV-E) is obtained by weighting UV radiation in the 250-400 nm range with the average skin erythemal response function. UV-E is proportional to the UV Index (UVI), a tool used worldwide to inform the public about this environmental hazard. Since this magnitude is not currently measured at most meteorological sites, satellite based estimates are often used to generate UV-E information over broad areas. However, for a climatological characterization of variability and typical doses of UV-E, long time series with low biases are required. An alternative approach is to estimate UV-E from readily available information with which UV-E is highly correlated. This work builds upon previous research, which evaluated a simple model (Power Model or PM) to estimate UV-E from Global Horizontal Irradiance (GHI), relative air mass, and total atmospheric ozone concentration at the 10-minute level. In that general analysis, the model showed an uncertainty below 12% (as measured by its relative Root Mean Squared Deviation or rRMSD) when compared with ground UV-E measurements. Here, we present a more in-depth assessment of this model, using high-quality data from four mid-latitude temperate sites. The deviations of the model estimates from UVI ground measurements are analyzed under different cloudiness conditions and across a broad range of air masses. Our results confirm that PM performs best under clear skies and low air masses, precisely the conditions associated to the higher incident solar irradiances and potentially dangerous UV levels. Under these conditions, the PM has an average accuracy (rRMSD across sites) of less than 6% of the average of the measurements and outperforms. These results confirm that the model, particularly in its unbiased version, is a reliable and practical tool for the climatological analysis of erythemal UV irradiance.</p></div>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":\"18 9\",\"pages\":\"2687 - 2703\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-025-01788-3\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-025-01788-3","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
UV Index from Global Solar Irradiance: Performance according to cloudiness and air mass
Ultraviolet (UV) irradiance from the Sun has potential negative health impacts. Erythemal UV irradiance (UV-E) is obtained by weighting UV radiation in the 250-400 nm range with the average skin erythemal response function. UV-E is proportional to the UV Index (UVI), a tool used worldwide to inform the public about this environmental hazard. Since this magnitude is not currently measured at most meteorological sites, satellite based estimates are often used to generate UV-E information over broad areas. However, for a climatological characterization of variability and typical doses of UV-E, long time series with low biases are required. An alternative approach is to estimate UV-E from readily available information with which UV-E is highly correlated. This work builds upon previous research, which evaluated a simple model (Power Model or PM) to estimate UV-E from Global Horizontal Irradiance (GHI), relative air mass, and total atmospheric ozone concentration at the 10-minute level. In that general analysis, the model showed an uncertainty below 12% (as measured by its relative Root Mean Squared Deviation or rRMSD) when compared with ground UV-E measurements. Here, we present a more in-depth assessment of this model, using high-quality data from four mid-latitude temperate sites. The deviations of the model estimates from UVI ground measurements are analyzed under different cloudiness conditions and across a broad range of air masses. Our results confirm that PM performs best under clear skies and low air masses, precisely the conditions associated to the higher incident solar irradiances and potentially dangerous UV levels. Under these conditions, the PM has an average accuracy (rRMSD across sites) of less than 6% of the average of the measurements and outperforms. These results confirm that the model, particularly in its unbiased version, is a reliable and practical tool for the climatological analysis of erythemal UV irradiance.
期刊介绍:
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.