首页 > 最新文献

npj Climate and Atmospheric Science最新文献

英文 中文
Substantial increases in compound climate extremes and associated socio-economic exposure across China under future climate change 未来气候变化下中国复合极端气候事件及相关社会经济风险显著增加
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-14 DOI: 10.1038/s41612-025-00910-7
Pei Fang, Taihua Wang, Dawen Yang, Lihua Tang, Yuting Yang

Under climate change, China faces intensifying compound extreme events with serious socio-economic ramifications, yet their future variations remain poorly understood. Here, we estimate historical hotspots and future changes of two typical compound events, i.e., sequential heatwave and precipitation (SHP) and concurrent drought and heatwave (CDH) across China, leveraging a bivariate bias correction method to adjust projections from global climate models. Results show substantial future increases in frequency, duration, and magnitude for both events, with the durations projected to double nationwide. The increases are more evident under higher emission scenarios, and could be largely underestimated if neglecting variable dependence during bias correction process. The projected changes will escalate socio-economic exposure across China’s major urban clusters, among which Guangdong-Hong Kong-Macao will face the highest risk. Our findings underscore the necessity of carbon emission controls, and call for adaptive measures to mitigate the threats induced by rising compound hazards in a changing climate.

在气候变化背景下,中国面临着日益加剧的复合极端事件,这些事件具有严重的社会经济后果,但人们对它们未来的变化知之甚少。本文利用双变量偏置校正方法对全球气候模式预估结果进行调整,估算了中国连续热浪和降水(SHP)和同期干旱和热浪(CDH)两个典型复合事件的历史热点和未来变化。结果显示,未来这两个事件的频率、持续时间和强度都将大幅增加,预计全国范围内的持续时间将增加一倍。在高排放情景下,其增加更为明显,如果忽略偏差校正过程中的变量相关性,则可能在很大程度上被低估。预计的变化将加剧中国主要城市群的社会经济风险,其中粤港澳将面临最高风险。我们的研究结果强调了控制碳排放的必要性,并呼吁采取适应性措施来减轻气候变化中复合危害增加所造成的威胁。
{"title":"Substantial increases in compound climate extremes and associated socio-economic exposure across China under future climate change","authors":"Pei Fang, Taihua Wang, Dawen Yang, Lihua Tang, Yuting Yang","doi":"10.1038/s41612-025-00910-7","DOIUrl":"https://doi.org/10.1038/s41612-025-00910-7","url":null,"abstract":"<p>Under climate change, China faces intensifying compound extreme events with serious socio-economic ramifications, yet their future variations remain poorly understood. Here, we estimate historical hotspots and future changes of two typical compound events, i.e., sequential heatwave and precipitation (SHP) and concurrent drought and heatwave (CDH) across China, leveraging a bivariate bias correction method to adjust projections from global climate models. Results show substantial future increases in frequency, duration, and magnitude for both events, with the durations projected to double nationwide. The increases are more evident under higher emission scenarios, and could be largely underestimated if neglecting variable dependence during bias correction process. The projected changes will escalate socio-economic exposure across China’s major urban clusters, among which Guangdong-Hong Kong-Macao will face the highest risk. Our findings underscore the necessity of carbon emission controls, and call for adaptive measures to mitigate the threats induced by rising compound hazards in a changing climate.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"17 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Skillful subseasonal ensemble predictions of heat wave onsets through better representation of land surface uncertainties 通过更好地表述地表不确定性,对热浪来临进行熟练的分季节集合预测
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-14 DOI: 10.1038/s41612-024-00876-y
Qiyu Zhang, Mu Mu, Guodong Sun

Uncertainties in land surface processes notably limit subseasonal heat wave (HW) onset predictions. A better representation of the uncertainties in land surface processes using ensemble prediction methods may be an important way to improve HW onset predictions. However, generating ensemble members that adequately represent land surface process uncertainties, particularly those related to land surface parameters, remains challenging. In this study, a conditional nonlinear optimal perturbation related to parameters (CNOP-P) approach was employed to generate ensemble members for representing the uncertainties in land surface processes resulting from parameters. Via six strong and long-lasting HW events over the middle and lower reaches of the Yangtze River (MLYR), HW onset ensemble forecast experiments were conducted with the Weather Research and Forecasting (WRF) model. The performance of the CNOP-P approach and the traditional random parameter perturbation ensemble prediction method was evaluated. The results demonstrate that the deterministic and probabilistic skills of HW onset predictions show greater excellence using the CNOP-P approach, leading to much better predictions of extreme air temperatures than those using the traditional method. This occurred because the ensemble members generated by the CNOP-P method better represented the uncertainties in important land physical processes determining HW onsets over the MLYR, notably vegetation process uncertainties, whereas the ensemble members generated by the random parameter perturbation method could not. This finding suggests that the CNOP-P method is suitable for producing ensemble members that more appropriately represent model uncertainties through more reasonable parameter error characterization.

陆面过程的不确定性明显限制了对次季节热浪(HW)来袭的预测。利用集合预测方法更好地表示陆表过程的不确定性可能是改进热浪来临预测的一个重要方法。然而,生成能充分代表陆面过程不确定性(尤其是与陆面参数相关的不确定性)的集合成员仍具有挑战性。在本研究中,采用了与参数相关的条件非线性最优扰动(CNOP-P)方法来生成集合成员,以代表由参数引起的陆面过程的不确定性。通过在长江中下游地区(MLYR)发生的六次强持久HW事件,利用天气研究与预报(WRF)模式进行了HW起始集合预报试验。评估了 CNOP-P 方法和传统随机参数扰动集合预报方法的性能。结果表明,使用 CNOP-P 方法,HW 起始预测的确定性和概率性技能都表现得更加出色,对极端气温的预测效果远远好于使用传统方法的预测效果。这是因为 CNOP-P 方法生成的集合成员更好地代表了决定 MLYR 上 HW 起始的重要陆地物理过程的不确定性,尤其是植被过程的不确定性,而随机参数扰动方法生成的集合成员则不能。这一发现表明,CNOP-P 方法适用于生成集合成员,通过更合理的参数误差特征描述,更恰当地代表模型的不确定性。
{"title":"Skillful subseasonal ensemble predictions of heat wave onsets through better representation of land surface uncertainties","authors":"Qiyu Zhang, Mu Mu, Guodong Sun","doi":"10.1038/s41612-024-00876-y","DOIUrl":"https://doi.org/10.1038/s41612-024-00876-y","url":null,"abstract":"<p>Uncertainties in land surface processes notably limit subseasonal heat wave (HW) onset predictions. A better representation of the uncertainties in land surface processes using ensemble prediction methods may be an important way to improve HW onset predictions. However, generating ensemble members that adequately represent land surface process uncertainties, particularly those related to land surface parameters, remains challenging. In this study, a conditional nonlinear optimal perturbation related to parameters (CNOP-P) approach was employed to generate ensemble members for representing the uncertainties in land surface processes resulting from parameters. Via six strong and long-lasting HW events over the middle and lower reaches of the Yangtze River (MLYR), HW onset ensemble forecast experiments were conducted with the Weather Research and Forecasting (WRF) model. The performance of the CNOP-P approach and the traditional random parameter perturbation ensemble prediction method was evaluated. The results demonstrate that the deterministic and probabilistic skills of HW onset predictions show greater excellence using the CNOP-P approach, leading to much better predictions of extreme air temperatures than those using the traditional method. This occurred because the ensemble members generated by the CNOP-P method better represented the uncertainties in important land physical processes determining HW onsets over the MLYR, notably vegetation process uncertainties, whereas the ensemble members generated by the random parameter perturbation method could not. This finding suggests that the CNOP-P method is suitable for producing ensemble members that more appropriately represent model uncertainties through more reasonable parameter error characterization.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"75 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Soil moisture controls over carbon sequestration and greenhouse gas emissions: a review 土壤湿度控制碳固存和温室气体排放:综述
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-14 DOI: 10.1038/s41612-024-00888-8
Yuefeng Hao, Jiafu Mao, Charles M. Bachmann, Forrest M. Hoffman, Gerbrand Koren, Haishan Chen, Hanqin Tian, Jiangong Liu, Jing Tao, Jinyun Tang, Lingcheng Li, Laibao Liu, Martha Apple, Mingjie Shi, Mingzhou Jin, Qing Zhu, Steve Kannenberg, Xiaoying Shi, Xi Zhang, Yaoping Wang, Yilin Fang, Yongjiu Dai

This literature review synthesizes the role of soil moisture in regulating carbon sequestration and greenhouse gas emissions (CS-GHG). Soil moisture directly affects photosynthesis, respiration, microbial activity, and soil organic matter dynamics, with optimal levels enhancing carbon storage while extremes, such as drought and flooding, disrupt these processes. A quantitative analysis is provided on the effects of soil moisture on CS-GHG across various ecosystems and climatic conditions, highlighting a “Peak and Decline” pattern for CO₂ emissions at 40% water-filled pore space (WFPS), while CH₄ and N₂O emissions peak at higher levels (60–80% and around 80% WFPS, respectively). The review also examines ecosystem models, discussing how soil moisture dynamics are incorporated to simulate photosynthesis, microbial activity, and nutrient cycling. Sustainable soil moisture management practices, including conservation agriculture, agroforestry, and optimized water management, prove effective in enhancing carbon sequestration and mitigating GHG emissions by maintaining ideal soil moisture levels. The review further emphasizes the importance of advancing multiscale observations and feedback modeling through high-resolution remote sensing and ground-based data integration, as well as hybrid modeling frameworks. The interactive model-experiment framework emerges as a promising approach for linking experimental data with model refinement, enabling continuous improvement of CS-GHG predictions. From a policy perspective, shifting focus from short-term agricultural productivity to long-term carbon sequestration is crucial. Achieving this shift will require financial incentives, robust monitoring systems, and collaboration among stakeholders to ensure sustainable practices effectively contribute to climate mitigation goals.

本文献综述了土壤水分在调节碳固存和温室气体排放(CS-GHG)方面的作用。土壤水分直接影响光合作用、呼吸作用、微生物活动和土壤有机质动态,最佳水平的土壤水分可提高碳储存,而干旱和洪涝等极端天气则会破坏这些过程。文章对不同生态系统和气候条件下土壤水分对 CS-GHG 的影响进行了定量分析,突出强调了在 40% 水填充孔隙空间(WFPS)时 CO₂ 排放的 "峰值和衰减 "模式,而 CH₄ 和 N₂O 排放在较高水平(分别为 60-80% 和 80% WFPS)时达到峰值。综述还研究了生态系统模型,讨论了如何将土壤水分动态纳入模拟光合作用、微生物活动和养分循环。可持续的土壤水分管理实践,包括保护性农业、农林业和优化的水管理,通过保持理想的土壤水分水平,被证明能有效提高碳固存和减少温室气体排放。综述进一步强调了通过高分辨率遥感和地面数据整合以及混合建模框架推进多尺度观测和反馈建模的重要性。交互式模型-实验框架是将实验数据与模型改进联系起来的一种很有前途的方法,可以不断改进 CS-GHG 预测。从政策角度看,将重点从短期农业生产力转移到长期碳固存至关重要。要实现这一转变,需要财政激励、强大的监测系统以及利益相关者之间的合作,以确保可持续的实践能有效地促进气候减缓目标的实现。
{"title":"Soil moisture controls over carbon sequestration and greenhouse gas emissions: a review","authors":"Yuefeng Hao, Jiafu Mao, Charles M. Bachmann, Forrest M. Hoffman, Gerbrand Koren, Haishan Chen, Hanqin Tian, Jiangong Liu, Jing Tao, Jinyun Tang, Lingcheng Li, Laibao Liu, Martha Apple, Mingjie Shi, Mingzhou Jin, Qing Zhu, Steve Kannenberg, Xiaoying Shi, Xi Zhang, Yaoping Wang, Yilin Fang, Yongjiu Dai","doi":"10.1038/s41612-024-00888-8","DOIUrl":"https://doi.org/10.1038/s41612-024-00888-8","url":null,"abstract":"<p>This literature review synthesizes the role of soil moisture in regulating carbon sequestration and greenhouse gas emissions (CS-GHG). Soil moisture directly affects photosynthesis, respiration, microbial activity, and soil organic matter dynamics, with optimal levels enhancing carbon storage while extremes, such as drought and flooding, disrupt these processes. A quantitative analysis is provided on the effects of soil moisture on CS-GHG across various ecosystems and climatic conditions, highlighting a “Peak and Decline” pattern for CO₂ emissions at 40% water-filled pore space (WFPS), while CH₄ and N₂O emissions peak at higher levels (60–80% and around 80% WFPS, respectively). The review also examines ecosystem models, discussing how soil moisture dynamics are incorporated to simulate photosynthesis, microbial activity, and nutrient cycling. Sustainable soil moisture management practices, including conservation agriculture, agroforestry, and optimized water management, prove effective in enhancing carbon sequestration and mitigating GHG emissions by maintaining ideal soil moisture levels. The review further emphasizes the importance of advancing multiscale observations and feedback modeling through high-resolution remote sensing and ground-based data integration, as well as hybrid modeling frameworks. The interactive model-experiment framework emerges as a promising approach for linking experimental data with model refinement, enabling continuous improvement of CS-GHG predictions. From a policy perspective, shifting focus from short-term agricultural productivity to long-term carbon sequestration is crucial. Achieving this shift will require financial incentives, robust monitoring systems, and collaboration among stakeholders to ensure sustainable practices effectively contribute to climate mitigation goals.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"29 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks 历史上最热的2023年出现了破纪录的寒冷事件,并评估了未来的风险
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-13 DOI: 10.1038/s41612-024-00886-w
Yangbo Ye, Cheng Qian, Aiguo Dai, Yuting Zhang, Jiacheng Jiang, Xiaoye Zhang

An unexpected record-breaking cold event struck eastern China in December 2023, causing widespread transportation shutdowns, power supply shortages, and agricultural crop damage. The manner in which such an extraordinary cold event was formed under global warming is unclear, as is the way in which anthropogenic climate change may affect the present and future frequency and intensity of similar cold events. Here, we show that the large-scale atmospheric circulation associated with the warm Arctic was the main event driver, explaining 83 ± 2% of the intensity of the 2023 cold event, whereas the thermodynamic effect of climate change suppressed the event intensity by −6 ± 3% in ERA5 and −22 ± 2% in HadGEM3-A-N216. An attribution analysis based on coupled model simulations shows that, due to anthropogenic climate change, the frequency and intensity of 2023-like events decrease by 92.5 ± 2.5% and 1.9 ± 0.2 °C, respectively, under the 2023 climate state. The thermodynamic effect of anthropogenic climate change outweighs its dynamic effect. Future projections indicate that the frequency and intensity of these 2023-like events will further decrease by 95 ± 3% and 2.05 ± 0.25 °C by the end of this century under an intermediate-emissions scenario compared with estimates made under the present climate. In contrast, 2023-like events will be similar to present events when the 1.5 °C target of the Paris Agreement is achieved. These findings highlight the dampening effect of anthropogenic climate change on cold events, but adaptation measures for future risks of 2023-like cold events will be needed by the end of the century if carbon neutrality is achieved.

2023年12月,一场意想不到的破纪录寒流袭击了中国东部,造成大范围的交通中断、电力供应短缺和农作物受损。在全球变暖的情况下,这种异常寒冷事件是如何形成的尚不清楚,同样不清楚的是,人为气候变化可能如何影响现在和未来类似寒冷事件的频率和强度。研究表明,与北极暖化相关的大尺度大气环流是2023年冷事件的主要驱动因素,解释了83±2%的冷事件强度,而气候变化的热力学效应对ERA5和HadGEM3-A-N216的事件强度抑制了- 6±3%和- 22±2%。基于耦合模式模拟的归因分析表明,在2023年气候状态下,由于人为气候变化,2023年类事件的发生频率和强度分别减少了92.5±2.5%和1.9±0.2°C。人为气候变化的热力效应大于其动力效应。未来的预测表明,到本世纪末,在中等排放情景下,与目前气候下的估计相比,这些类似2023年的事件的频率和强度将进一步降低95±3%和2.05±0.25°C。相比之下,2023年类似的事件将与实现《巴黎协定》1.5°C目标时的当前事件相似。这些发现强调了人为气候变化对寒冷事件的抑制作用,但如果实现碳中和,到本世纪末将需要针对2023年类似寒冷事件的未来风险采取适应措施。
{"title":"Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks","authors":"Yangbo Ye, Cheng Qian, Aiguo Dai, Yuting Zhang, Jiacheng Jiang, Xiaoye Zhang","doi":"10.1038/s41612-024-00886-w","DOIUrl":"https://doi.org/10.1038/s41612-024-00886-w","url":null,"abstract":"<p>An unexpected record-breaking cold event struck eastern China in December 2023, causing widespread transportation shutdowns, power supply shortages, and agricultural crop damage. The manner in which such an extraordinary cold event was formed under global warming is unclear, as is the way in which anthropogenic climate change may affect the present and future frequency and intensity of similar cold events. Here, we show that the large-scale atmospheric circulation associated with the warm Arctic was the main event driver, explaining 83 ± 2% of the intensity of the 2023 cold event, whereas the thermodynamic effect of climate change suppressed the event intensity by −6 ± 3% in ERA5 and −22 ± 2% in HadGEM3-A-N216. An attribution analysis based on coupled model simulations shows that, due to anthropogenic climate change, the frequency and intensity of 2023-like events decrease by 92.5 ± 2.5% and 1.9 ± 0.2 °C, respectively, under the 2023 climate state. The thermodynamic effect of anthropogenic climate change outweighs its dynamic effect. Future projections indicate that the frequency and intensity of these 2023-like events will further decrease by 95 ± 3% and 2.05 ± 0.25 °C by the end of this century under an intermediate-emissions scenario compared with estimates made under the present climate. In contrast, 2023-like events will be similar to present events when the 1.5 °C target of the Paris Agreement is achieved. These findings highlight the dampening effect of anthropogenic climate change on cold events, but adaptation measures for future risks of 2023-like cold events will be needed by the end of the century if carbon neutrality is achieved.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"40 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mechanisms and quantification: How anthropogenic aerosols weaken the East Asian summer monsoon 机制和量化:人为气溶胶如何削弱东亚夏季风
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-13 DOI: 10.1038/s41612-025-00903-6
Yiwen Lang, Jing Zhang, Jin Zhao, Yuhang Gong, Tian Han, Xiaoqing Deng, Yuqing Liu

Anthropogenic aerosols could weaken the East Asian summer monsoon (EASM). This study investigated the regional effects of varying aerosol optical depth (AOD) on the EASM through qualitative and quantitative analyses for three subregions in eastern China. After assessing 38 CMIP6 models, four models (ACCESS-CM2, CanESM5, MIROC6, and MRI-ESM2-0) were selected for detailed analysis. Results showed that the weakening of EASM was predominantly attributed to anthropogenic aerosols. Increased AOD reduced land-sea temperature and pressure differences, weakening the EASM as indicated by the EASMI. Higher aerosol levels decreased surface shortwave radiation, land surface temperature, and evaporation, weakening the land-sea thermal contrast. Enhanced aerosol-induced cooling increased atmospheric stability and downward flow, suppressing upper air water vapor flux and precipitation. These findings underscore the critical role of anthropogenic aerosols in altering regional climate patterns and the importance of emission control to mitigate their effects on the EASM.

人为气溶胶可使东亚夏季风减弱。本文通过定性和定量分析,探讨了不同气溶胶光学深度(AOD)对中国东部3个分区域的区域效应。在评估38个CMIP6模型后,我们选择了4个模型(ACCESS-CM2、CanESM5、MIROC6和MRI-ESM2-0)进行详细分析。结果表明,人为气溶胶对东亚季风的减弱起主要作用。AOD的增加降低了陆海温度和气压差,减弱了EASMI的指示。较高的气溶胶水平降低了地表短波辐射、地表温度和蒸发,减弱了海陆热对比。气溶胶引起的冷却增强了大气稳定性和向下流动,抑制了高空水汽通量和降水。这些发现强调了人为气溶胶在改变区域气候模式方面的关键作用,以及控制排放以减轻其对东亚地区的影响的重要性。
{"title":"Mechanisms and quantification: How anthropogenic aerosols weaken the East Asian summer monsoon","authors":"Yiwen Lang, Jing Zhang, Jin Zhao, Yuhang Gong, Tian Han, Xiaoqing Deng, Yuqing Liu","doi":"10.1038/s41612-025-00903-6","DOIUrl":"https://doi.org/10.1038/s41612-025-00903-6","url":null,"abstract":"<p>Anthropogenic aerosols could weaken the East Asian summer monsoon (EASM). This study investigated the regional effects of varying aerosol optical depth (AOD) on the EASM through qualitative and quantitative analyses for three subregions in eastern China. After assessing 38 CMIP6 models, four models (ACCESS-CM2, CanESM5, MIROC6, and MRI-ESM2-0) were selected for detailed analysis. Results showed that the weakening of EASM was predominantly attributed to anthropogenic aerosols. Increased AOD reduced land-sea temperature and pressure differences, weakening the EASM as indicated by the EASMI. Higher aerosol levels decreased surface shortwave radiation, land surface temperature, and evaporation, weakening the land-sea thermal contrast. Enhanced aerosol-induced cooling increased atmospheric stability and downward flow, suppressing upper air water vapor flux and precipitation. These findings underscore the critical role of anthropogenic aerosols in altering regional climate patterns and the importance of emission control to mitigate their effects on the EASM.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"87 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Future large-scale atmospheric circulation changes and Greenland precipitation 未来大尺度大气环流变化与格陵兰降水
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-10 DOI: 10.1038/s41612-025-00899-z
Baojuan Huai, Minghu Ding, Michiel R. van den Broeke, Carleen H. Reijmer, Brice Noël, Weijun Sun, Yetang Wang

In this work, we examine connections between patterns of future Greenland precipitation and large-scale atmospheric circulation changes over the Northern Hemisphere. In the last three decades of the 21st century, CMIP5 and CMIP6 ensemble mean precipitation significantly decreases over the northern part of the North Atlantic Ocean with respect to 1951–1980. This drying signal extends from the ocean to the southeastern margin of Greenland. The 500 hPa geopotential height change shows a clear pattern including a widespread increase across the Arctic with a negative anomaly centered over Iceland and surrounding regions. To identify the mechanisms linking atmospheric circulation variability with Greenland precipitation, we perform a singular value decomposition (SVD) and center of action (COA) analysis. We find that a northeastward shift of the Icelandic Low (IL) under the SSP5‐8.5 warming scenario leads to the drying signal found in southeast Greenland. This implies that the IL location will have a strong influence on precipitation changes over southeast Greenland in the future, impacting projections of Greenland ice sheet surface mass balance.

在这项工作中,我们研究了未来格陵兰降水模式与北半球大尺度大气环流变化之间的联系。在21世纪最后30年,CMIP5和CMIP6总体平均降水与1951-1980年相比显著减少。这个干燥的信号从海洋延伸到格陵兰岛的东南边缘。500 hPa位势高度变化呈现出明显的模式,包括在整个北极地区广泛增加,并以冰岛及其周边地区为中心出现负异常。为了确定大气环流变率与格陵兰降水之间的联系机制,我们进行了奇异值分解(SVD)和作用中心(COA)分析。我们发现,在SSP5‐8.5变暖情景下,冰岛低压(IL)向东北移动导致格陵兰岛东南部出现干燥信号。这意味着IL的位置将对未来格陵兰东南部的降水变化产生强烈影响,影响格陵兰冰盖表面物质平衡的预估。
{"title":"Future large-scale atmospheric circulation changes and Greenland precipitation","authors":"Baojuan Huai, Minghu Ding, Michiel R. van den Broeke, Carleen H. Reijmer, Brice Noël, Weijun Sun, Yetang Wang","doi":"10.1038/s41612-025-00899-z","DOIUrl":"https://doi.org/10.1038/s41612-025-00899-z","url":null,"abstract":"<p>In this work, we examine connections between patterns of future Greenland precipitation and large-scale atmospheric circulation changes over the Northern Hemisphere. In the last three decades of the 21st century, CMIP5 and CMIP6 ensemble mean precipitation significantly decreases over the northern part of the North Atlantic Ocean with respect to 1951–1980. This drying signal extends from the ocean to the southeastern margin of Greenland. The 500 hPa geopotential height change shows a clear pattern including a widespread increase across the Arctic with a negative anomaly centered over Iceland and surrounding regions. To identify the mechanisms linking atmospheric circulation variability with Greenland precipitation, we perform a singular value decomposition (SVD) and center of action (COA) analysis. We find that a northeastward shift of the Icelandic Low (IL) under the SSP5‐8.5 warming scenario leads to the drying signal found in southeast Greenland. This implies that the IL location will have a strong influence on precipitation changes over southeast Greenland in the future, impacting projections of Greenland ice sheet surface mass balance.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"39 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Regional-specific trends of PM2.5 and O3 temperature sensitivity in the United States 美国PM2.5和O3温度敏感性的区域特定趋势
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-10 DOI: 10.1038/s41612-024-00862-4
Lifei Yin, Bin Bai, Bingqing Zhang, Qiao Zhu, Qian Di, Weeberb J. Requia, Joel D. Schwartz, Liuhua Shi, Pengfei Liu

Climate change poses direct and indirect threats to public health, including exacerbating air pollution. However, the influence of rising temperature on air quality remains highly uncertain in the United States, particularly under rapid reduction in anthropogenic emissions. Here, we examined the sensitivity of surface-level fine particulate matter (PM2.5) and ozone (O3) to summer temperature anomalies in the contiguous US as well as their decadal changes using high-resolution datasets generated by machine learning. Our findings demonstrate that in the eastern US, stringent emission control strategies have significantly reduced the positive responses of PM2.5 and O3 to summer temperature, thereby lowering the population exposure associated with warming-induced air quality deterioration. In contrast, PM2.5 in the western US became more sensitive to temperature, highlighting the urgent need to manage and mitigate the impact of worsening wildfires. Our results have important implications for air quality management and risk assessments of future climate change.

气候变化对公众健康构成直接和间接威胁,包括加剧空气污染。然而,在美国,气温上升对空气质量的影响仍然高度不确定,特别是在人为排放迅速减少的情况下。在这里,我们使用机器学习生成的高分辨率数据集研究了地表细颗粒物(PM2.5)和臭氧(O3)对美国邻近地区夏季温度异常的敏感性以及它们的年代际变化。我们的研究结果表明,在美国东部,严格的排放控制策略显著降低了PM2.5和O3对夏季温度的正响应,从而降低了与变暖引起的空气质量恶化相关的人口暴露。相比之下,美国西部的PM2.5对温度更加敏感,这凸显了管理和减轻日益恶化的野火影响的紧迫性。我们的研究结果对空气质量管理和未来气候变化风险评估具有重要意义。
{"title":"Regional-specific trends of PM2.5 and O3 temperature sensitivity in the United States","authors":"Lifei Yin, Bin Bai, Bingqing Zhang, Qiao Zhu, Qian Di, Weeberb J. Requia, Joel D. Schwartz, Liuhua Shi, Pengfei Liu","doi":"10.1038/s41612-024-00862-4","DOIUrl":"https://doi.org/10.1038/s41612-024-00862-4","url":null,"abstract":"<p>Climate change poses direct and indirect threats to public health, including exacerbating air pollution. However, the influence of rising temperature on air quality remains highly uncertain in the United States, particularly under rapid reduction in anthropogenic emissions. Here, we examined the sensitivity of surface-level fine particulate matter (PM<sub>2.5</sub>) and ozone (O<sub>3</sub>) to summer temperature anomalies in the contiguous US as well as their decadal changes using high-resolution datasets generated by machine learning. Our findings demonstrate that in the eastern US, stringent emission control strategies have significantly reduced the positive responses of PM<sub>2.5</sub> and O<sub>3</sub> to summer temperature, thereby lowering the population exposure associated with warming-induced air quality deterioration. In contrast, PM<sub>2.5</sub> in the western US became more sensitive to temperature, highlighting the urgent need to manage and mitigate the impact of worsening wildfires. Our results have important implications for air quality management and risk assessments of future climate change.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"13 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Increasing temporal stability of global tropical cyclone precipitation 增加全球热带气旋降水的时间稳定性
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-10 DOI: 10.1038/s41612-025-00896-2
E Deng, Qian Xiang, Johnny C. L. Chan, Yue Dong, Shifei Tu, Pak-Wai Chan, Yi-Qing Ni

Tropical cyclone (TC) precipitation has led to escalating urban flooding and transportation disruptions in recent years. The volatility of the TC rain rate (RR) over short periods complicates accurate forecasting. Here, we use satellite-based observational rainfall datasets from 1998 to 2019 to calculate changes in TC 24-h RR and quantify the temporal stability of TC precipitation. We demonstrate a significant global increase in the annual temporal stability of TC RR across the total rainfall area, inner-core, and rainband areas. Specifically, the probabilities of rapid RR increase and decrease events in the TC total rainfall area decreased at rates of –1.74 ± 0.57% per decade and –2.23 ± 0.55% per decade, respectively. Based on the reanalysis dataset, we propose that the synergistic effects of increased atmospheric stability and total column water vapor—both resulting from anthropogenic warming at low latitudes—are potentially associated with this trend.

近年来,热带气旋(TC)降水导致城市洪水和交通中断不断升级。短期内TC降雨率(RR)的波动性使准确预报复杂化。本文利用1998 - 2019年的卫星观测降水资料,计算了TC 24 h RR的变化,并量化了TC降水的时间稳定性。研究表明,在全球范围内,总降雨区、核心区和雨带区,TC - RR的年时间稳定性显著增加。其中,TC总降雨区RR快速增减事件的概率分别以-1.74±0.57% / a和-2.23±0.55% / a的速率下降。基于再分析数据集,我们提出大气稳定性和总水柱水蒸气增加的协同效应——两者都是由低纬度人为变暖造成的——可能与这一趋势有关。
{"title":"Increasing temporal stability of global tropical cyclone precipitation","authors":"E Deng, Qian Xiang, Johnny C. L. Chan, Yue Dong, Shifei Tu, Pak-Wai Chan, Yi-Qing Ni","doi":"10.1038/s41612-025-00896-2","DOIUrl":"https://doi.org/10.1038/s41612-025-00896-2","url":null,"abstract":"<p>Tropical cyclone (TC) precipitation has led to escalating urban flooding and transportation disruptions in recent years. The volatility of the TC rain rate (RR) over short periods complicates accurate forecasting. Here, we use satellite-based observational rainfall datasets from 1998 to 2019 to calculate changes in TC 24-h RR and quantify the temporal stability of TC precipitation. We demonstrate a significant global increase in the annual temporal stability of TC RR across the total rainfall area, inner-core, and rainband areas. Specifically, the probabilities of rapid RR increase and decrease events in the TC total rainfall area decreased at rates of –1.74 ± 0.57% per decade and –2.23 ± 0.55% per decade, respectively. Based on the reanalysis dataset, we propose that the synergistic effects of increased atmospheric stability and total column water vapor—both resulting from anthropogenic warming at low latitudes—are potentially associated with this trend.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"56 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cloud microphysical response to entrainment of dry air containing aerosols 云微物理对含气溶胶的干燥空气夹带的响应
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-08 DOI: 10.1038/s41612-024-00889-7
Jae Min Yeom, Hamed Fahandezh Sadi, Jesse C. Anderson, Fan Yang, Will Cantrell, Raymond A. Shaw

Impacts of aerosol particles on clouds, precipitation, and climate remain one of the significant uncertainties in climate change. Aerosol particles entrained at cloud top and edge can affect cloud microphysical and macrophysical properties, but the process is still poorly understood. Here we investigate the cloud microphysical responses to the entrainment of aerosol-laden air in the Pi convection-cloud chamber. Results show that cloud droplet number concentration increases and mean radius of droplets decreases, which leads to narrower droplet size distribution and smaller relative dispersion. These behaviors are generally consistent with the scenario expected from the first aerosol-cloud indirect effect for a constant liquid water content (L). However, L increases significantly in these experiments. Such enhancement of L can be understood as suppression of droplet sedimentation removal due to small droplets. Further, an increase in aerosol concentration from entrainment reduces the effective radius and ultimately increases cloud optical thickness and cloud albedo, making the clouds brighter. These findings are of relevance to the entrainment interface at stratocumulus cloud top, where modeling studies have suggested sedimentation plays a strong role in regulating L. Therefore, the results provide insights into the impacts of entrainment of aerosol-laden air on cloud, precipitation, and climate.

气溶胶粒子对云、降水和气候的影响仍然是气候变化中一个重要的不确定性因素。在云顶和云边夹带的气溶胶粒子可以影响云的微物理和宏观物理性质,但这一过程仍然知之甚少。在这里,我们研究了云的微物理响应,以夹带气溶胶的空气在Pi对流云室。结果表明:云滴数浓度增大,云滴平均半径减小,云滴尺寸分布变窄,云滴相对弥散减小;在液态水含量(L)不变的情况下,这些行为通常与第一次气溶胶-云间接效应所期望的情景一致。然而,L在这些实验中显著增加。这种L的增强可以理解为由于液滴小而抑制了液滴沉降去除。此外,夹带引起的气溶胶浓度的增加减少了有效半径,最终增加了云的光学厚度和云的反照率,使云更加明亮。这些发现与层积云顶部的夹带界面有关,在那里,模拟研究表明沉积在调节l中起着重要作用。因此,这些结果为气溶胶携带空气的夹带对云、降水和气候的影响提供了见解。
{"title":"Cloud microphysical response to entrainment of dry air containing aerosols","authors":"Jae Min Yeom, Hamed Fahandezh Sadi, Jesse C. Anderson, Fan Yang, Will Cantrell, Raymond A. Shaw","doi":"10.1038/s41612-024-00889-7","DOIUrl":"https://doi.org/10.1038/s41612-024-00889-7","url":null,"abstract":"<p>Impacts of aerosol particles on clouds, precipitation, and climate remain one of the significant uncertainties in climate change. Aerosol particles entrained at cloud top and edge can affect cloud microphysical and macrophysical properties, but the process is still poorly understood. Here we investigate the cloud microphysical responses to the entrainment of aerosol-laden air in the Pi convection-cloud chamber. Results show that cloud droplet number concentration increases and mean radius of droplets decreases, which leads to narrower droplet size distribution and smaller relative dispersion. These behaviors are generally consistent with the scenario expected from the first aerosol-cloud indirect effect for a constant liquid water content (<i>L</i>). However, <i>L</i> increases significantly in these experiments. Such enhancement of <i>L</i> can be understood as suppression of droplet sedimentation removal due to small droplets. Further, an increase in aerosol concentration from entrainment reduces the effective radius and ultimately increases cloud optical thickness and cloud albedo, making the clouds brighter. These findings are of relevance to the entrainment interface at stratocumulus cloud top, where modeling studies have suggested sedimentation plays a strong role in regulating <i>L</i>. Therefore, the results provide insights into the impacts of entrainment of aerosol-laden air on cloud, precipitation, and climate.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"36 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A modified transformer model for the extended-range forecast of intraseasonal oscillation 一种改进的变压器季节内振荡大范围预报模型
IF 9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-08 DOI: 10.1038/s41612-025-00902-7
Chuhan Lu, Yichen Shen, Zhaoyong Guan

Extended-range forecast has long maintained a difficult point for the seamless forecast system due to the lack of predictability, with intraseasonal oscillation (ISO), an important signal in many high-impact weather events, being an important source of that. To improve the accuracy of ISO extended-range forecast and make up the gaps in previous researches in this regard, a data-driven model ISOX is proposed for the intraseasonal components of atmospheric fields. Compared with the subseasonal forecast results from climate forecast system (CFS), and the climatological forecast, ISOX achieves higher accuracy for lead times longer than 13 days, with few spatial or temporal weak points. It also performed better in predicting the positive 2 m temperature ISO and lower tropospheric conditions in a heatwave event, surpassing CFS for lead times longer than 13 days. Finally, through gradient evaluation, the model is proved to be able to study the ISO signal movements of atmospheric systems. Thus, the success of this model may shed light on improving extended-range forecast skills and assist the timely detection and prevention of possible meteorological disasters.

大范围预报由于缺乏可预测性,长期以来一直是无缝预报系统的难点,而许多高影响天气事件的重要信号—季内振荡(ISO)是大范围预报的重要来源。为了提高ISO增程预报的精度,弥补前人在这方面研究的不足,提出了一种数据驱动的大气场季内分量模式ISOX。与气候预报系统(CFS)的分季节预报结果和气候学预报结果相比,ISOX在提前期大于13 d的预报精度更高,且没有时空上的短板。在预测热浪事件中温度ISO为正2米和对流层温度较低的情况方面,它也表现得更好,提前时间超过了CFS 13天。最后,通过梯度评估,证明了该模型能够研究大气系统的ISO信号运动。因此,该模式的成功将有助于提高大范围预报技能,并有助于及时发现和预防可能发生的气象灾害。
{"title":"A modified transformer model for the extended-range forecast of intraseasonal oscillation","authors":"Chuhan Lu, Yichen Shen, Zhaoyong Guan","doi":"10.1038/s41612-025-00902-7","DOIUrl":"https://doi.org/10.1038/s41612-025-00902-7","url":null,"abstract":"<p>Extended-range forecast has long maintained a difficult point for the seamless forecast system due to the lack of predictability, with intraseasonal oscillation (ISO), an important signal in many high-impact weather events, being an important source of that. To improve the accuracy of ISO extended-range forecast and make up the gaps in previous researches in this regard, a data-driven model ISOX is proposed for the intraseasonal components of atmospheric fields. Compared with the subseasonal forecast results from climate forecast system (CFS), and the climatological forecast, ISOX achieves higher accuracy for lead times longer than 13 days, with few spatial or temporal weak points. It also performed better in predicting the positive 2 m temperature ISO and lower tropospheric conditions in a heatwave event, surpassing CFS for lead times longer than 13 days. Finally, through gradient evaluation, the model is proved to be able to study the ISO signal movements of atmospheric systems. Thus, the success of this model may shed light on improving extended-range forecast skills and assist the timely detection and prevention of possible meteorological disasters.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"38 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
npj Climate and Atmospheric Science
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1