{"title":"基于多时间尺度分析的IsoGSM2模拟降水同位素组成的时空适用性评估","authors":"Haichen Zhao, Liangju Zhao, Cong Xie, Keke Ma, Yuye Qin","doi":"10.1002/hyp.70097","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Stable isotope in precipitation plays a crucial role in comprehending the water cycle. Isotope-enabled General Circulation Models (iGCMs) can continuously simulate the compositions of stable hydrogen and oxygen isotopes (δ<sup>2</sup>H and δ<sup>18</sup>O) in precipitation. The Isotope-incorporated Global Spectral Model Version 2 (isoGSM2), one of the iGCMs, has been widely used in related research. Here, we use the measured δ<sup>18</sup>O records (δ<sup>18</sup>O<sub>O</sub>) of 21 long-term monitoring stations from the Global Network of Isotopes in Precipitation and modelled δ<sup>18</sup>O (δ<sup>18</sup>O<sub>M</sub>) from isoGSM2 to compare δ<sup>18</sup>O<sub>M</sub> with δ<sup>18</sup>O<sub>O</sub> at different time intervals (monthly, annual) for the whole year (MD, AD), rainy season (RSM, RSA) and dry season (DSM, DSA). The results showed that isoGSM2 has good performance in the northern part of Oceania, southeastern Asia, central Europe, eastern North America, Greenland and northern South America across all temporal scales, but the correlations at the other stations vary depending on the timescale. The RMSE and correlation between δ<sup>18</sup>O<sub>M</sub> and δ<sup>18</sup>O<sub>O</sub> were better for the rainy season than for the dry season. The relationship between δ<sup>18</sup>O<sub>M</sub> and temperature was consistent with δ<sup>18</sup>O<sub>O</sub> for both the MD and RSM, as well as the relationship between δ<sup>18</sup>O<sub>M</sub> and precipitation amount for the MD. The deviation between simulated and observed values is associated with the accuracy of the model's simulation of rainfall and temperature, as well as the real environmental conditions. In addition, isoGSM2 may have a high correlation at sites where AO and ENSO are significantly affected. These findings are valuable for understanding isoGSM2's applicability and enhance the understanding and knowledge of stable isotopes in the water cycle.</p>\n </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 3","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the Spatiotemporal Applicability of IsoGSM2 for Simulating Precipitation Isotope Compositions: A Multi-Timescale Analysis\",\"authors\":\"Haichen Zhao, Liangju Zhao, Cong Xie, Keke Ma, Yuye Qin\",\"doi\":\"10.1002/hyp.70097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Stable isotope in precipitation plays a crucial role in comprehending the water cycle. Isotope-enabled General Circulation Models (iGCMs) can continuously simulate the compositions of stable hydrogen and oxygen isotopes (δ<sup>2</sup>H and δ<sup>18</sup>O) in precipitation. The Isotope-incorporated Global Spectral Model Version 2 (isoGSM2), one of the iGCMs, has been widely used in related research. Here, we use the measured δ<sup>18</sup>O records (δ<sup>18</sup>O<sub>O</sub>) of 21 long-term monitoring stations from the Global Network of Isotopes in Precipitation and modelled δ<sup>18</sup>O (δ<sup>18</sup>O<sub>M</sub>) from isoGSM2 to compare δ<sup>18</sup>O<sub>M</sub> with δ<sup>18</sup>O<sub>O</sub> at different time intervals (monthly, annual) for the whole year (MD, AD), rainy season (RSM, RSA) and dry season (DSM, DSA). The results showed that isoGSM2 has good performance in the northern part of Oceania, southeastern Asia, central Europe, eastern North America, Greenland and northern South America across all temporal scales, but the correlations at the other stations vary depending on the timescale. The RMSE and correlation between δ<sup>18</sup>O<sub>M</sub> and δ<sup>18</sup>O<sub>O</sub> were better for the rainy season than for the dry season. The relationship between δ<sup>18</sup>O<sub>M</sub> and temperature was consistent with δ<sup>18</sup>O<sub>O</sub> for both the MD and RSM, as well as the relationship between δ<sup>18</sup>O<sub>M</sub> and precipitation amount for the MD. The deviation between simulated and observed values is associated with the accuracy of the model's simulation of rainfall and temperature, as well as the real environmental conditions. In addition, isoGSM2 may have a high correlation at sites where AO and ENSO are significantly affected. These findings are valuable for understanding isoGSM2's applicability and enhance the understanding and knowledge of stable isotopes in the water cycle.</p>\\n </div>\",\"PeriodicalId\":13189,\"journal\":{\"name\":\"Hydrological Processes\",\"volume\":\"39 3\",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Processes\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hyp.70097\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Processes","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hyp.70097","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Environmental Science","Score":null,"Total":0}
Assessing the Spatiotemporal Applicability of IsoGSM2 for Simulating Precipitation Isotope Compositions: A Multi-Timescale Analysis
Stable isotope in precipitation plays a crucial role in comprehending the water cycle. Isotope-enabled General Circulation Models (iGCMs) can continuously simulate the compositions of stable hydrogen and oxygen isotopes (δ2H and δ18O) in precipitation. The Isotope-incorporated Global Spectral Model Version 2 (isoGSM2), one of the iGCMs, has been widely used in related research. Here, we use the measured δ18O records (δ18OO) of 21 long-term monitoring stations from the Global Network of Isotopes in Precipitation and modelled δ18O (δ18OM) from isoGSM2 to compare δ18OM with δ18OO at different time intervals (monthly, annual) for the whole year (MD, AD), rainy season (RSM, RSA) and dry season (DSM, DSA). The results showed that isoGSM2 has good performance in the northern part of Oceania, southeastern Asia, central Europe, eastern North America, Greenland and northern South America across all temporal scales, but the correlations at the other stations vary depending on the timescale. The RMSE and correlation between δ18OM and δ18OO were better for the rainy season than for the dry season. The relationship between δ18OM and temperature was consistent with δ18OO for both the MD and RSM, as well as the relationship between δ18OM and precipitation amount for the MD. The deviation between simulated and observed values is associated with the accuracy of the model's simulation of rainfall and temperature, as well as the real environmental conditions. In addition, isoGSM2 may have a high correlation at sites where AO and ENSO are significantly affected. These findings are valuable for understanding isoGSM2's applicability and enhance the understanding and knowledge of stable isotopes in the water cycle.
期刊介绍:
Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.