Xuan Liu , Mingxiang Yang , Tinghai Ou , Hui-Wen Lai , Fan Wen , Ningpeng Dong , Hao Wang , Deliang Chen
{"title":"通过动态降尺度加强三江源地区夏季大气水循环模拟","authors":"Xuan Liu , Mingxiang Yang , Tinghai Ou , Hui-Wen Lai , Fan Wen , Ningpeng Dong , Hao Wang , Deliang Chen","doi":"10.1016/j.atmosres.2024.107810","DOIUrl":null,"url":null,"abstract":"<div><div>Characterizing and understanding the evolving water cycle in the Three-River Headwaters (TRH) region of the Tibetan Plateau, where data scarcity poses significant challenges to climate and atmospheric water cycle research, heavily depends on model simulations. However, advanced global climate models and reanalysis datasets frequently overestimate precipitation. To address this, we employ high-resolution (9 km) regional climate simulations (WRF9km) to examine atmospheric water cycle variables in the TRH region, comparing them with in-situ observations and ERA5 reanalysis. Our study demonstrates that WRF9km substantially reduces the overestimation of summer precipitation (by 24.0 %) and evapotranspiration (by 52.7 %) compared to ERA5, thereby improving its alignment with observational data. The reduced biases in precipitation are attributed to diminished moisture influx from the southern boundary and local evapotranspiration, coupled with increased moisture export from the eastern boundary. Summer precipitation recycling (PR) accounts for approximately 20 % of total precipitation in the TRH region. Despite divergent trends in PR between a water accounting model (WAM) and a bulk method, our findings support the reliability of WAM, indicating a slight decrease in summer PR (−0.4 %/10a for ERA5 and − 0.6 %/10a for WRF9km). While WRF9km accurately captures the spatial pattern of summer PR, ERA5 appears to overestimate it, likely due to biases in evapotranspiration and moisture inflow. In conclusion, WRF9km provides a more accurate representation of the atmospheric water cycle in the TRH region.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107810"},"PeriodicalIF":4.5000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing summer atmospheric water cycle simulations in the Three-River Headwaters Region via dynamical downscaling\",\"authors\":\"Xuan Liu , Mingxiang Yang , Tinghai Ou , Hui-Wen Lai , Fan Wen , Ningpeng Dong , Hao Wang , Deliang Chen\",\"doi\":\"10.1016/j.atmosres.2024.107810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Characterizing and understanding the evolving water cycle in the Three-River Headwaters (TRH) region of the Tibetan Plateau, where data scarcity poses significant challenges to climate and atmospheric water cycle research, heavily depends on model simulations. However, advanced global climate models and reanalysis datasets frequently overestimate precipitation. To address this, we employ high-resolution (9 km) regional climate simulations (WRF9km) to examine atmospheric water cycle variables in the TRH region, comparing them with in-situ observations and ERA5 reanalysis. Our study demonstrates that WRF9km substantially reduces the overestimation of summer precipitation (by 24.0 %) and evapotranspiration (by 52.7 %) compared to ERA5, thereby improving its alignment with observational data. The reduced biases in precipitation are attributed to diminished moisture influx from the southern boundary and local evapotranspiration, coupled with increased moisture export from the eastern boundary. Summer precipitation recycling (PR) accounts for approximately 20 % of total precipitation in the TRH region. Despite divergent trends in PR between a water accounting model (WAM) and a bulk method, our findings support the reliability of WAM, indicating a slight decrease in summer PR (−0.4 %/10a for ERA5 and − 0.6 %/10a for WRF9km). While WRF9km accurately captures the spatial pattern of summer PR, ERA5 appears to overestimate it, likely due to biases in evapotranspiration and moisture inflow. In conclusion, WRF9km provides a more accurate representation of the atmospheric water cycle in the TRH region.</div></div>\",\"PeriodicalId\":8600,\"journal\":{\"name\":\"Atmospheric Research\",\"volume\":\"314 \",\"pages\":\"Article 107810\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-11-19\",\"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/S0169809524005921\",\"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/S0169809524005921","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}
引用次数: 0
摘要
青藏高原三江源(TRH)地区的数据匮乏给气候和大气水循环研究带来了巨大挑战,如何描述和理解该地区不断演变的水循环在很大程度上取决于模式模拟。然而,先进的全球气候模型和再分析数据集经常高估降水量。针对这一问题,我们采用高分辨率(9 千米)区域气候模拟(WRF9 千米)来研究 TRH 地区的大气水循环变量,并将其与现场观测数据和 ERA5 再分析数据进行比较。我们的研究表明,与ERA5相比,WRF9km大大降低了对夏季降水量(24.0%)和蒸散量(52.7%)的高估,从而提高了与观测数据的一致性。降水偏差的减少归因于来自南部边界和本地蒸散的水汽流入减少,以及来自东部边界的水汽输出增加。夏季降水循环(PR)约占 TRH 地区总降水量的 20%。尽管水量核算模式(WAM)和大体积方法在降水循环方面的趋势不同,但我们的研究结果支持 WAM 的可靠性,表明夏季降水循环略有减少(ERA5 为-0.4 %/10a,WRF9km 为-0.6 %/10a)。WRF9km 准确捕捉到了夏季 PR 的空间模式,而 ERA5 则似乎高估了它,这可能是由于蒸散和水汽流入的偏差造成的。总之,WRF9km 对 TRH 地区的大气水循环有更准确的描述。
Enhancing summer atmospheric water cycle simulations in the Three-River Headwaters Region via dynamical downscaling
Characterizing and understanding the evolving water cycle in the Three-River Headwaters (TRH) region of the Tibetan Plateau, where data scarcity poses significant challenges to climate and atmospheric water cycle research, heavily depends on model simulations. However, advanced global climate models and reanalysis datasets frequently overestimate precipitation. To address this, we employ high-resolution (9 km) regional climate simulations (WRF9km) to examine atmospheric water cycle variables in the TRH region, comparing them with in-situ observations and ERA5 reanalysis. Our study demonstrates that WRF9km substantially reduces the overestimation of summer precipitation (by 24.0 %) and evapotranspiration (by 52.7 %) compared to ERA5, thereby improving its alignment with observational data. The reduced biases in precipitation are attributed to diminished moisture influx from the southern boundary and local evapotranspiration, coupled with increased moisture export from the eastern boundary. Summer precipitation recycling (PR) accounts for approximately 20 % of total precipitation in the TRH region. Despite divergent trends in PR between a water accounting model (WAM) and a bulk method, our findings support the reliability of WAM, indicating a slight decrease in summer PR (−0.4 %/10a for ERA5 and − 0.6 %/10a for WRF9km). While WRF9km accurately captures the spatial pattern of summer PR, ERA5 appears to overestimate it, likely due to biases in evapotranspiration and moisture inflow. In conclusion, WRF9km provides a more accurate representation of the atmospheric water cycle in the TRH region.
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.