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Cloud processing dominates the vertical profiles of aerosols in marine air masses over the Great Barrier Reef
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-18 DOI: 10.1016/j.atmosres.2025.107928
Ramon C. Braga , Daniel Rosenfeld , Diana Hernandez , Chris Medcraft , Avichay Efraim , Manuel Moser , Johannes Lucke , Adrian Doss , Daniel Harrison
The cloud condensation nuclei (CCN) concentrations greatly determine the vertical microphysical evolution and rain initiation of warm convective clouds. We investigated the vertical profile of aerosol particles large enough (diameter > 60 nm) to act as CCN in marine air masses over the Great Barrier Reef. Such data were collected during an aircraft research campaign in February 2024. The results show a strong relationship between the microphysical processes measured in the cloud and the aerosol properties measured at the same altitude. The number concentration of aerosol particles decreases significantly above cloud bases due to CCN activation into cloud droplets. For heights above the in-cloud rain initiation level, the aerosol concentrations decrease further due to the scavenging of particles by drizzle and raindrops. The Hoppel minimum in particle size distributions is observed up to the altitude at which the coagulation process intensifies. Furthermore, a tail of larger aerosol particles was measured above the altitudes of rain initiation. These results suggest that the vertical profile of aerosols measured in marine air masses is dominated by cloud processing.

Plain text summary

Understanding the role of aerosol-cloud interactions is crucial information in accurately predicting the effects of climate change on the Great Barrier Reef (GBR). Characterizing the properties of aerosol particles found over the Reef is essential in determining their ability to act as cloud condensation nuclei (CCN). The evaporation of cloud droplets and raindrops represents an additional source that may influence the concentrations and sizes of aerosol. Here, we show that warm clouds dominate the vertical profiles of aerosol particles in the lower troposphere over the GBR. Our research shows that marine clouds work like a sink of aerosol particles found over the Reef. The cloud microphysical processes (activation of CCN into cloud droplets and the collision and coalescence processes) decrease the concentration of aerosol particles at the same altitude in the lower troposphere. Cloud processing develops the “Hoppel minima” or Hoppel minimum of the marine boundary layer aerosol size distributions as clouds evaporate. The Hoppel minimum is not observed in the particle size distributions above altitudes of intense coagulation processes. Above this level, the ultrafine particles dominate the aerosol concentrations.
{"title":"Cloud processing dominates the vertical profiles of aerosols in marine air masses over the Great Barrier Reef","authors":"Ramon C. Braga ,&nbsp;Daniel Rosenfeld ,&nbsp;Diana Hernandez ,&nbsp;Chris Medcraft ,&nbsp;Avichay Efraim ,&nbsp;Manuel Moser ,&nbsp;Johannes Lucke ,&nbsp;Adrian Doss ,&nbsp;Daniel Harrison","doi":"10.1016/j.atmosres.2025.107928","DOIUrl":"10.1016/j.atmosres.2025.107928","url":null,"abstract":"<div><div>The cloud condensation nuclei (CCN) concentrations greatly determine the vertical microphysical evolution and rain initiation of warm convective clouds. We investigated the vertical profile of aerosol particles large enough (diameter &gt; 60 nm) to act as CCN in marine air masses over the Great Barrier Reef. Such data were collected during an aircraft research campaign in February 2024. The results show a strong relationship between the microphysical processes measured in the cloud and the aerosol properties measured at the same altitude. The number concentration of aerosol particles decreases significantly above cloud bases due to CCN activation into cloud droplets. For heights above the in-cloud rain initiation level, the aerosol concentrations decrease further due to the scavenging of particles by drizzle and raindrops. The Hoppel minimum in particle size distributions is observed up to the altitude at which the coagulation process intensifies. Furthermore, a tail of larger aerosol particles was measured above the altitudes of rain initiation. These results suggest that the vertical profile of aerosols measured in marine air masses is dominated by cloud processing.</div></div><div><h3>Plain text summary</h3><div>Understanding the role of aerosol-cloud interactions is crucial information in accurately predicting the effects of climate change on the Great Barrier Reef (GBR). Characterizing the properties of aerosol particles found over the Reef is essential in determining their ability to act as cloud condensation nuclei (CCN). The evaporation of cloud droplets and raindrops represents an additional source that may influence the concentrations and sizes of aerosol. Here, we show that warm clouds dominate the vertical profiles of aerosol particles in the lower troposphere over the GBR. Our research shows that marine clouds work like a sink of aerosol particles found over the Reef. The cloud microphysical processes (activation of CCN into cloud droplets and the collision and coalescence processes) decrease the concentration of aerosol particles at the same altitude in the lower troposphere. Cloud processing develops the “Hoppel minima” or Hoppel minimum of the marine boundary layer aerosol size distributions as clouds evaporate. The Hoppel minimum is not observed in the particle size distributions above altitudes of intense coagulation processes. Above this level, the ultrafine particles dominate the aerosol concentrations.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107928"},"PeriodicalIF":4.5,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating sources and oxidation pathways of nitrate aerosols across altitudes: A year-long study using oxygen isotope anomaly and stable nitrogen isotopic composition from Canton Tower in South China
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.atmosres.2025.107930
Yujing Wang , Chenglei Pei , Fobang Liu , Fan Jiang , Junwen Liu , Fang Cao , Yanlin Zhang
Nitrate aerosol (NO3) has increasingly contributed to particular matter pollution in many regions worldwide, yet the relative contributions of key sources and oxidation pathways to NO3 remain poorly understood in South China. In this study, we present a year-long observation of the signatures for oxygen isotope anomaly (Δ17O) and stable nitrogen isotopic composition (δ15N) in NO3 collected at different heights (ground, 118 m, 488 m) from Canton Tower in South China covering the period from October 18, 2018 to August 10, 2019. Δ17O-δ15N-derived measurements showed that the main contributors to the oxidation pathways and source of NO3 in Guangzhou during the sampling campaign were NO2 + OH (58.1 %) and coal combustion (34.3 %), respectively. Interestingly, there was an obvious vertical change for both the source and oxidation pathways of NO3 under different NO3 pollution levels. During periods of slight pollution, there was no significant difference in the oxidation pathways among the three heights, despite the ground-level NO3 concentration being much higher than at the other two altitudes. In contrast, during severe NO3 pollution episodes, the contribution of nocturnal chemistry (NO3 + HC/N2O5 + Cl and N2O5 + H2O) to NO3 formation reached up to 60.4 % at 118 m and 57.1 % at 488 m, which is 1.4 to 1.5 times higher than the contribution observed at ground level. Taken together, our year-long measurements for the signatures of Δ17O and δ15N in NO3 highlight the important role of nocturnal chemistry and coal combustion in driving NO3 pollution in the largest city of South China.
{"title":"Evaluating sources and oxidation pathways of nitrate aerosols across altitudes: A year-long study using oxygen isotope anomaly and stable nitrogen isotopic composition from Canton Tower in South China","authors":"Yujing Wang ,&nbsp;Chenglei Pei ,&nbsp;Fobang Liu ,&nbsp;Fan Jiang ,&nbsp;Junwen Liu ,&nbsp;Fang Cao ,&nbsp;Yanlin Zhang","doi":"10.1016/j.atmosres.2025.107930","DOIUrl":"10.1016/j.atmosres.2025.107930","url":null,"abstract":"<div><div>Nitrate aerosol (NO<sub>3</sub><sup>−</sup>) has increasingly contributed to particular matter pollution in many regions worldwide, yet the relative contributions of key sources and oxidation pathways to NO<sub>3</sub><sup>−</sup> remain poorly understood in South China. In this study, we present a year-long observation of the signatures for oxygen isotope anomaly (Δ<sup>17</sup>O) and stable nitrogen isotopic composition (δ<sup>15</sup>N) in NO<sub>3</sub><sup>−</sup> collected at different heights (ground, 118 m, 488 m) from Canton Tower in South China covering the period from October 18, 2018 to August 10, 2019. Δ<sup>17</sup>O-δ<sup>15</sup>N-derived measurements showed that the main contributors to the oxidation pathways and source of NO<sub>3</sub><sup>−</sup> in Guangzhou during the sampling campaign were NO<sub>2</sub> + OH (58.1 %) and coal combustion (34.3 %), respectively. Interestingly, there was an obvious vertical change for both the source and oxidation pathways of NO<sub>3</sub><sup>−</sup> under different NO<sub>3</sub><sup>−</sup> pollution levels. During periods of slight pollution, there was no significant difference in the oxidation pathways among the three heights, despite the ground-level NO<sub>3</sub><sup>−</sup> concentration being much higher than at the other two altitudes. In contrast, during severe NO<sub>3</sub><sup>−</sup> pollution episodes, the contribution of nocturnal chemistry (NO<sub>3</sub> + HC/N<sub>2</sub>O<sub>5</sub> + Cl<sup>−</sup> and N<sub>2</sub>O<sub>5</sub> + H<sub>2</sub>O) to NO<sub>3</sub><sup>−</sup> formation reached up to 60.4 % at 118 m and 57.1 % at 488 m, which is 1.4 to 1.5 times higher than the contribution observed at ground level. Taken together, our year-long measurements for the signatures of Δ<sup>17</sup>O and δ<sup>15</sup>N in NO<sub>3</sub><sup>−</sup> highlight the important role of nocturnal chemistry and coal combustion in driving NO<sub>3</sub><sup>−</sup> pollution in the largest city of South China.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107930"},"PeriodicalIF":4.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Detection of the 2022 extreme drought over the Yangtze River basin using two satellite-gauge precipitation products
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.atmosres.2025.107929
Linyong Wei , Shanhu Jiang , Liliang Ren , Zulin Hua , Linqi Zhang , Zheng Duan
In 2022, the Yangtze River Basin in China experienced an unprecedented extreme drought, induced by high temperatures and precipitation deficits. Accurate monitoring of such extreme drought events is vitally significant for disaster mitigation under global warming. This study evaluated the effectiveness of two satellite-based precipitation products: the latest Integrated Multi-satellitE Retrievals for Global Precipitation Measurement Final Run (IMERG-F) v07B and gauge-adjusted Global Satellite Mapping of Precipitation (GSMaP-G) v8, using the Standardized Precipitation Evapotranspiration Index (SPEI) to monitor the record-breaking drought. The evaluation was implemented based on the China Hydro-Meteorology precipitation (CHM_PRE) dataset with high-density stations. Results showed that the both satellite products presented satisfactory accuracy for the precipitation anomalies and monthly precipitation estimates. IMERG-F generally performed better than GSMaP-G, especially in the upstream region. Although the satellite-based SPEIs were constantly consistent with the CHM_PRE observations (correlation coefficient surpassing 0.9) in the midstream and downstream regions as the timescale increased, they exhibited greater spatial heterogeneity and temporal differentiation at longer timescales. IMERG-F demonstrated strong performance in detecting historical drought events, whereas it displayed worse reliability for the except 1-month drought estimates, as reflected by lower correlation and higher error metrics. During the 2022 extreme drought, IMERG-F-based SPEI had more reliable performance in identifying the stricken area and severity of meteorological drought. Conversely, GSMaP-G was more effective in characterizing the variability of summer agricultural drought and hydrological drought. These findings can provide valuable insights for the use of satellite remote sensing products in monitoring extreme drought events, offering potential to reduce drought risks and improve disaster management strategies.
{"title":"Detection of the 2022 extreme drought over the Yangtze River basin using two satellite-gauge precipitation products","authors":"Linyong Wei ,&nbsp;Shanhu Jiang ,&nbsp;Liliang Ren ,&nbsp;Zulin Hua ,&nbsp;Linqi Zhang ,&nbsp;Zheng Duan","doi":"10.1016/j.atmosres.2025.107929","DOIUrl":"10.1016/j.atmosres.2025.107929","url":null,"abstract":"<div><div>In 2022, the Yangtze River Basin in China experienced an unprecedented extreme drought, induced by high temperatures and precipitation deficits. Accurate monitoring of such extreme drought events is vitally significant for disaster mitigation under global warming. This study evaluated the effectiveness of two satellite-based precipitation products: the latest Integrated Multi-satellitE Retrievals for Global Precipitation Measurement Final Run (IMERG-F) v07B and gauge-adjusted Global Satellite Mapping of Precipitation (GSMaP-G) v8, using the Standardized Precipitation Evapotranspiration Index (SPEI) to monitor the record-breaking drought. The evaluation was implemented based on the China Hydro-Meteorology precipitation (CHM_PRE) dataset with high-density stations. Results showed that the both satellite products presented satisfactory accuracy for the precipitation anomalies and monthly precipitation estimates. IMERG-F generally performed better than GSMaP-G, especially in the upstream region. Although the satellite-based SPEIs were constantly consistent with the CHM_PRE observations (correlation coefficient surpassing 0.9) in the midstream and downstream regions as the timescale increased, they exhibited greater spatial heterogeneity and temporal differentiation at longer timescales. IMERG-F demonstrated strong performance in detecting historical drought events, whereas it displayed worse reliability for the except 1-month drought estimates, as reflected by lower correlation and higher error metrics. During the 2022 extreme drought, IMERG-F-based SPEI had more reliable performance in identifying the stricken area and severity of meteorological drought. Conversely, GSMaP-G was more effective in characterizing the variability of summer agricultural drought and hydrological drought. These findings can provide valuable insights for the use of satellite remote sensing products in monitoring extreme drought events, offering potential to reduce drought risks and improve disaster management strategies.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107929"},"PeriodicalIF":4.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Subseasonal prediction of weekly precipitation anomalies over Southern China during early summer based on predictability analysis and machine learning
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.atmosres.2025.107927
Yang Lyu , Xiefei Zhi , Shoupeng Zhu , Yi Fan , Yan Ji
Rainfall in southern China (SC) reaches its annual peak in early summer (May–June), which is often accompanied by the occurrence of rainstorm and flooding disasters. Reliable subseasonal precipitation forecasts play important roles in disaster prevention and mitigation. In this study, the four leading predictable patterns (accounts for 63.24 % of the total variance) of weekly precipitation anomalies (WPA) over Southern China (SC) during early summer and the corresponding signal sources in European Centre for Medium-Range Weather Forecasts (ECMWF) are analyzed. The first and second predictable patterns present uniform and meridional dipole pattern over SC, respectively, while the third and fourth predictable patterns feature with the tripole patterns. Further analysis indicates that the low-level anomalous anticyclone centered over the tropical western Pacific and the lower-level subtropical western North Pacific anomalous anticyclone are the key predictability sources for the first and second predictable patterns, respectively. Although ECMWF shows limited forecast skills in predicting the four leading predictable patterns after 2-week lead time, it can capture the associated large-scale circulation features to a large extent even up to 4-week lead time. Against this backdrop, we develop a dynamical-statistical model (DSM) using random forest to reconstruct these predictable patterns of WPA based on the associated large-scale features in ECMWF. The DSM can extend the forecast skills of WPA up to 4-week lead time over the majority area of SC and increase regional average TCC by ∼0.1 compared to the ensemble mean forecast from ECMWF for 3–4-week lead times. Further analysis indicates that the enhanced TCCs of DSM compared with ECMWF can be largely attributed to the enhancement in predicting the second predictable pattern. The proposed DSM is very promising in subseasonal precipitation forecasts and can also be applied to the routine forecast of other atmospheric and ocean phenomena in the future.
{"title":"Subseasonal prediction of weekly precipitation anomalies over Southern China during early summer based on predictability analysis and machine learning","authors":"Yang Lyu ,&nbsp;Xiefei Zhi ,&nbsp;Shoupeng Zhu ,&nbsp;Yi Fan ,&nbsp;Yan Ji","doi":"10.1016/j.atmosres.2025.107927","DOIUrl":"10.1016/j.atmosres.2025.107927","url":null,"abstract":"<div><div>Rainfall in southern China (SC) reaches its annual peak in early summer (May–June), which is often accompanied by the occurrence of rainstorm and flooding disasters. Reliable subseasonal precipitation forecasts play important roles in disaster prevention and mitigation. In this study, the four leading predictable patterns (accounts for 63.24 % of the total variance) of weekly precipitation anomalies (WPA) over Southern China (SC) during early summer and the corresponding signal sources in European Centre for Medium-Range Weather Forecasts (ECMWF) are analyzed. The first and second predictable patterns present uniform and meridional dipole pattern over SC, respectively, while the third and fourth predictable patterns feature with the tripole patterns. Further analysis indicates that the low-level anomalous anticyclone centered over the tropical western Pacific and the lower-level subtropical western North Pacific anomalous anticyclone are the key predictability sources for the first and second predictable patterns, respectively. Although ECMWF shows limited forecast skills in predicting the four leading predictable patterns after 2-week lead time, it can capture the associated large-scale circulation features to a large extent even up to 4-week lead time. Against this backdrop, we develop a dynamical-statistical model (DSM) using random forest to reconstruct these predictable patterns of WPA based on the associated large-scale features in ECMWF. The DSM can extend the forecast skills of WPA up to 4-week lead time over the majority area of SC and increase regional average TCC by ∼0.1 compared to the ensemble mean forecast from ECMWF for 3–4-week lead times. Further analysis indicates that the enhanced TCCs of DSM compared with ECMWF can be largely attributed to the enhancement in predicting the second predictable pattern. The proposed DSM is very promising in subseasonal precipitation forecasts and can also be applied to the routine forecast of other atmospheric and ocean phenomena in the future.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107927"},"PeriodicalIF":4.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Passive microwave-based diagnostics of medicanes over the period 2000–2021
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.atmosres.2025.107922
Valentina Di Francesca , Leo Pio D'Adderio , Paolo Sanò , Jean-François Rysman , Daniele Casella , Giulia Panegrossi
The Mediterranean Sea is a well-documented region of cyclogenesis where hundreds of cyclones of variable lifetime, intensity and structure form every year. Although they are smaller, weaker and shorter in duration compared to tropical or most of the extratropical cyclones, they are often associated with high impact weather phenomena, due to significant amount of precipitation, strong winds and storm surges, thus affecting the coastal areas in the Mediterranean basin. Recently, there has been a growing interest in Mediterranean cyclones which closely resemble actual tropical cyclones with spiraling rainbands around a calm, a mostly cloud-free “eye”, strong rotation winds around the center, and a warm core (WC). These cyclones are generally referred to as Tropical-Like Cyclones (TLCs) or MEDIterranean hurriCANES (medicanes). This study aims to analyse, through an observational, satellite-based approach, 23 medicanes occurred from 2000 to 2021 in order to carry out a comprehensive passive microwave (PMW)-based characterization of these cyclones. A novel methodology for detecting the “closed eye” feature has been designed and implemented. Moreover, a well-established methodology based on the 54–55 GHz temperature sounding channels is applied to all 23 cyclones to detect the WC and characterize its depth, intensity and symmetry. Finally, the high frequency channels (> 89 GHz) are exploited to retrieve cloud top height and ice water path, and to detect deep moist convection, offering insights on the role of diabatic heating in the WC development. This study applies, for the first time, both known and newly-developed PMW-based techniques and tools over an extensive medicanes' satellite-based data record in order to unveil the thermodynamic and microphysical processes which fuel the WC and to identify the cyclones which undergo a tropical-transition, (i.e., with a WC mainly driven by diabatic processes). In addition, this study evidences how PMW radiometry can contribute to address open questions on the processes that drive medicanes development and evolution, and offer useful insights into the potential classification of these complex systems.
{"title":"Passive microwave-based diagnostics of medicanes over the period 2000–2021","authors":"Valentina Di Francesca ,&nbsp;Leo Pio D'Adderio ,&nbsp;Paolo Sanò ,&nbsp;Jean-François Rysman ,&nbsp;Daniele Casella ,&nbsp;Giulia Panegrossi","doi":"10.1016/j.atmosres.2025.107922","DOIUrl":"10.1016/j.atmosres.2025.107922","url":null,"abstract":"<div><div>The Mediterranean Sea is a well-documented region of cyclogenesis where hundreds of cyclones of variable lifetime, intensity and structure form every year. Although they are smaller, weaker and shorter in duration compared to tropical or most of the extratropical cyclones, they are often associated with high impact weather phenomena, due to significant amount of precipitation, strong winds and storm surges, thus affecting the coastal areas in the Mediterranean basin. Recently, there has been a growing interest in Mediterranean cyclones which closely resemble actual tropical cyclones with spiraling rainbands around a calm, a mostly cloud-free “eye”, strong rotation winds around the center, and a warm core (WC). These cyclones are generally referred to as Tropical-Like Cyclones (TLCs) or MEDIterranean hurriCANES (medicanes). This study aims to analyse, through an observational, satellite-based approach, 23 medicanes occurred from 2000 to 2021 in order to carry out a comprehensive passive microwave (PMW)-based characterization of these cyclones. A novel methodology for detecting the “closed eye” feature has been designed and implemented. Moreover, a well-established methodology based on the 54–55 GHz temperature sounding channels is applied to all 23 cyclones to detect the WC and characterize its depth, intensity and symmetry. Finally, the high frequency channels (&gt; 89 GHz) are exploited to retrieve cloud top height and ice water path, and to detect deep moist convection, offering insights on the role of diabatic heating in the WC development. This study applies, for the first time, both known and newly-developed PMW-based techniques and tools over an extensive medicanes' satellite-based data record in order to unveil the thermodynamic and microphysical processes which fuel the WC and to identify the cyclones which undergo a tropical-transition, (i.e., with a WC mainly driven by diabatic processes). In addition, this study evidences how PMW radiometry can contribute to address open questions on the processes that drive medicanes development and evolution, and offer useful insights into the potential classification of these complex systems.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"316 ","pages":"Article 107922"},"PeriodicalIF":4.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Increasingly frequent and severe dry-to-wet abrupt alteration events are striking the Yangtze River Basin in China
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.atmosres.2025.107926
Zhanrui Huang , Xiao Chen , Zhihua Pan , Riping Gao , Jingyu Men , Pengshuai Bi , Na Huang , Fangxiao Zhang , Rongdao Yang
Dry-to-wet abrupt alteration events (DWAA) are characterized by the rapid transition from drought to heavy rainfall, with serious impacts on agricultural production and society in the Yangtze River Basin (YRB). However, a key research gap is the lack of comprehensive DWAA identification methods to accurately capture short-term DWAA features. Here, an improved pentad-scale DWAA index combining standardized soil moisture indexes and standardized precipitation indexes is proposed and the temporal and spatial characteristics of DWAA are identified using ERA5-Land reanalysis data. The results show that, from 1980 to 2022, the average of frequency, duration, strength, and rate of rapid alteration of DWAA in the YRB have significantly increased. Compared with the 1980s, the average duration of DWAA extended from 6.2 pentads to 6.3 pentads in the 2010s, and the average rapid alteration rate increased from 2.8 pentad−1 to 2.9 pentad−1. High occurrence areas of DWAA (20 times) were observed in east and south of the YRB and northwestern Sichuan. These regions also experienced prolonged duration of up to 13 pentads and great strength of 17. Based on the Cumulative Distribution Function and Copula function, the average state of DWAA (50th percentile, duration of 5 pentads, strength of 8.2) had a recurrence period of 1 year, while extreme state events (90th percentile, duration of 9 pentads, strength of 15.1) had a recurrence period of 90 years. These findings can provide an important scientific basis for local governments to improve the regional responding capacity and development of disaster prevention and mitigation policies.
{"title":"Increasingly frequent and severe dry-to-wet abrupt alteration events are striking the Yangtze River Basin in China","authors":"Zhanrui Huang ,&nbsp;Xiao Chen ,&nbsp;Zhihua Pan ,&nbsp;Riping Gao ,&nbsp;Jingyu Men ,&nbsp;Pengshuai Bi ,&nbsp;Na Huang ,&nbsp;Fangxiao Zhang ,&nbsp;Rongdao Yang","doi":"10.1016/j.atmosres.2025.107926","DOIUrl":"10.1016/j.atmosres.2025.107926","url":null,"abstract":"<div><div>Dry-to-wet abrupt alteration events (DWAA) are characterized by the rapid transition from drought to heavy rainfall, with serious impacts on agricultural production and society in the Yangtze River Basin (YRB). However, a key research gap is the lack of comprehensive DWAA identification methods to accurately capture short-term DWAA features. Here, an improved pentad-scale DWAA index combining standardized soil moisture indexes and standardized precipitation indexes is proposed and the temporal and spatial characteristics of DWAA are identified using ERA5-Land reanalysis data. The results show that, from 1980 to 2022, the average of frequency, duration, strength, and rate of rapid alteration of DWAA in the YRB have significantly increased. Compared with the 1980s, the average duration of DWAA extended from 6.2 pentads to 6.3 pentads in the 2010s, and the average rapid alteration rate increased from 2.8 pentad<sup>−1</sup> to 2.9 pentad<sup>−1</sup>. High occurrence areas of DWAA (20 times) were observed in east and south of the YRB and northwestern Sichuan. These regions also experienced prolonged duration of up to 13 pentads and great strength of 17. Based on the Cumulative Distribution Function and Copula function, the average state of DWAA (50th percentile, duration of 5 pentads, strength of 8.2) had a recurrence period of 1 year, while extreme state events (90th percentile, duration of 9 pentads, strength of 15.1) had a recurrence period of 90 years. These findings can provide an important scientific basis for local governments to improve the regional responding capacity and development of disaster prevention and mitigation policies.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107926"},"PeriodicalIF":4.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Corrigendum to “Liquid cloud drop effective radius over China: A 20-year MODIS-based assessment” [Atmospheric Research 312 (2024) 107750].
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-16 DOI: 10.1016/j.atmosres.2025.107925
Xiaolin Zhang , Yuanzhi Wang , Yele Sun , Xiaojing Shen , Huizheng Che , Thomas Choularton
{"title":"Corrigendum to “Liquid cloud drop effective radius over China: A 20-year MODIS-based assessment” [Atmospheric Research 312 (2024) 107750].","authors":"Xiaolin Zhang ,&nbsp;Yuanzhi Wang ,&nbsp;Yele Sun ,&nbsp;Xiaojing Shen ,&nbsp;Huizheng Che ,&nbsp;Thomas Choularton","doi":"10.1016/j.atmosres.2025.107925","DOIUrl":"10.1016/j.atmosres.2025.107925","url":null,"abstract":"","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107925"},"PeriodicalIF":4.5,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Dubai's record precipitation event of 16 April 2024 – A diagnosis
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-16 DOI: 10.1016/j.atmosres.2025.107924
Kenny Thiam Choy Lim Kam Sian , Philip Sagero , Laban Lameck Kebacho , Victor Ongoma
Understanding climate extremes is crucial for improving forecasting accuracy to minimise the associated loss of lives and property. On 16 April 2024, Dubai, an arid desert region in the United Arab Emirates, recorded unprecedented very heavy precipitation, causing widespread flooding and significant socio-economic impacts. This study investigates the atmospheric conditions that contributed to the event using hourly data from the European Centre for Medium-Range Weather Forecasts' fifth-generation reanalysis. A composite analysis of precipitation and atmospheric conditions during the event is conducted. Findings reveal enhanced convective activities, likely modulated by large-scale flow patterns and strong low-level convergence associated with moisture transport dynamics from the Red Sea, Arabian Sea, and Persian Gulf. Strong cyclonic circulation anomalies in the lower to mid-troposphere supported persistent upward vertical motion, promoting deep convective cloud formation. High convective available potential energy and a pronounced mid-level atmospheric trough were evident, indicators of an unstable atmosphere conducive to deep convection. Strong upper-level subtropical jets further facilitated and sustained the convective processes. The combined atmospheric conditions from the lower to upper troposphere provided conditions highly favourable for deep cloud formation, leading to the extreme precipitation event. This study highlights the importance of understanding factors, such as moisture transport dynamics, low-pressure systems, and upper-level jets, in forecasting extreme precipitation in the UAE region. Improving the knowledge of these circulations is essential for enhancing the accuracy of climate extremes forecasting and monitoring, enabling better preparedness and effective, practical anticipatory measures.
{"title":"Dubai's record precipitation event of 16 April 2024 – A diagnosis","authors":"Kenny Thiam Choy Lim Kam Sian ,&nbsp;Philip Sagero ,&nbsp;Laban Lameck Kebacho ,&nbsp;Victor Ongoma","doi":"10.1016/j.atmosres.2025.107924","DOIUrl":"10.1016/j.atmosres.2025.107924","url":null,"abstract":"<div><div>Understanding climate extremes is crucial for improving forecasting accuracy to minimise the associated loss of lives and property. On 16 April 2024, Dubai, an arid desert region in the United Arab Emirates, recorded unprecedented very heavy precipitation, causing widespread flooding and significant socio-economic impacts. This study investigates the atmospheric conditions that contributed to the event using hourly data from the European Centre for Medium-Range Weather Forecasts' fifth-generation reanalysis. A composite analysis of precipitation and atmospheric conditions during the event is conducted. Findings reveal enhanced convective activities, likely modulated by large-scale flow patterns and strong low-level convergence associated with moisture transport dynamics from the Red Sea, Arabian Sea, and Persian Gulf. Strong cyclonic circulation anomalies in the lower to mid-troposphere supported persistent upward vertical motion, promoting deep convective cloud formation. High convective available potential energy and a pronounced mid-level atmospheric trough were evident, indicators of an unstable atmosphere conducive to deep convection. Strong upper-level subtropical jets further facilitated and sustained the convective processes. The combined atmospheric conditions from the lower to upper troposphere provided conditions highly favourable for deep cloud formation, leading to the extreme precipitation event. This study highlights the importance of understanding factors, such as moisture transport dynamics, low-pressure systems, and upper-level jets, in forecasting extreme precipitation in the UAE region. Improving the knowledge of these circulations is essential for enhancing the accuracy of climate extremes forecasting and monitoring, enabling better preparedness and effective, practical anticipatory measures.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107924"},"PeriodicalIF":4.5,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Spatiotemporal evolution patterns of flood-causing rainstorm events in China from a 3D perspective 基于三维视角的中国致洪暴雨事件时空演变特征
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-13 DOI: 10.1016/j.atmosres.2025.107920
Jie Wang , Xiaodan Guan , Shiguang Miao
Floods induced by rainstorm events (RSEs) are among the most frequent natural disasters and have a significant impact on ecosystems and human society. While most extensive researches have investigated the magnitude, frequency, and risk of floods, understanding the spatiotemporal evolution of contiguous flood-causing rainstorm events remains largely unexplored in China. Here, we collected historical flood disaster data from the Statistical Yearbook, news reports, and government sources and examined the evolution patterns of spatiotemporally contiguous flood-causing RSEs across China from 2000 to 2020, utilizing the connected component three-dimensional algorithm. Our results indicate that floods mostly occur in southern China (SC), followed by northern China (NC), with less frequency in northwestern China (NWC) and the Qinghai-Tibetan Plateau (TP). The flood-causing RSEs tend to occur with longer durations and higher magnitudes in SC and NC, while in NWC and TP, they are primarily characterized by short-term precipitation processes with lower magnitudes. Moreover, the flood-causing RSEs exhibit distinct evolutionary patterns in different subregions. In NWC and TP, RSEs generally move eastward and southeastward, with relatively longer lifespans, traveling longer distances at faster moving speeds, but covering smaller areal extent and lower accumulated rainfall amounts. In contrast, in both SC and NC, flood-causing rainstorm events are mainly moved in two directions, namely westwards and eastwards. These events have shorter average lifespans, and travel shorter moving distances at slower moving speeds, but have a larger areal extent and huge accumulated rainfall amounts. Our findings significantly enhance our understanding of flood-causing rainstorm characteristics in China.
暴雨引发的洪水是最常见的自然灾害之一,对生态系统和人类社会产生重大影响。虽然大多数广泛的研究已经调查了洪水的规模、频率和风险,但在中国,对连续洪水引发的暴雨事件的时空演变的理解仍在很大程度上未被探索。本文收集了《统计年鉴》、新闻报道和政府来源的历史洪水灾害数据,利用连通分量三维算法研究了2000 - 2020年中国地区时空连续致洪rse的演变规律。研究结果表明:中国南方洪灾发生频次最高,北方次之,西北和青藏高原洪灾频次较低;南、华北地区的致洪rse以持续时间长、强度高为主,而北、TP地区的致洪rse以短期降水过程为主,且强度较低。此外,不同分区的致洪rse表现出不同的演化模式。在NWC和TP中,rse总体上向东和东南移动,其寿命相对较长,移动距离较长,移动速度较快,但覆盖面积较小,累积雨量较少。而在南、北两个地区,引起洪水的暴雨事件主要向西和向东两个方向移动。这些事件的平均寿命较短,移动距离较短,移动速度较慢,但具有较大的面积范围和巨大的累积降雨量。我们的研究结果大大提高了我们对中国致洪暴雨特征的认识。
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引用次数: 0
Enhancing Air Pollution Forecasts in Cities by Characterizing the Urban Heat Island Effects on Planetary Boundary Layers
IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2025-01-13 DOI: 10.1016/j.atmosres.2025.107923
Leo Matak, Mostafa Momen
Rapid urbanization can cause serious air pollution and human health problems in densely populated cities. Urban areas have complex surface characteristics that can highly impact microclimate and air quality in these environments. Cities are typically warmer than their surroundings due to the Urban Heat Island (UHI) effect caused by anthropogenic activities and unique urban surface properties. However, the UHI impacts on air quality and aerosol forecasts in major cities have not been well understood yet. The objective of this paper is to address this knowledge gap by characterizing the impacts of the UHI on meteorological and aerosol forecasts in cities. To this end, more than 30 days of simulations over two major US cities (Houston and Dallas) are performed using the Weather Research and Forecasting (WRF) model coupled with Chemistry (WRF-Chem). In total, 78 simulations are conducted by varying the Planetary Boundary Layer (PBL) schemes, urban models, and various UHI magnitudes. Our results indicate that the current urban schemes in WRF do not accurately parameterize UHI effects which can highly influence their air pollution and meteorological forecasts. The lack of proper UHI representation causes a more stable atmosphere during nighttime as the model does not account for additional heating that occurs in major cities. This leads to the accumulation of aerosol forecasts on urban surfaces and overestimated particulate matter forecasts. By enhancing the UHI representation, we were able to remarkably improve the default WRF-Chem forecasts of particulate matter and ozone by an average of ∼50 % and ∼12 % in Houston, respectively. Similar improvements were obtained for Dallas, and different PBL and urban schemes. The study underscores the significance of urban-specific models such as the UHI effect for accurate meteorological and aerosol forecasts in cities.
{"title":"Enhancing Air Pollution Forecasts in Cities by Characterizing the Urban Heat Island Effects on Planetary Boundary Layers","authors":"Leo Matak,&nbsp;Mostafa Momen","doi":"10.1016/j.atmosres.2025.107923","DOIUrl":"10.1016/j.atmosres.2025.107923","url":null,"abstract":"<div><div>Rapid urbanization can cause serious air pollution and human health problems in densely populated cities. Urban areas have complex surface characteristics that can highly impact microclimate and air quality in these environments. Cities are typically warmer than their surroundings due to the Urban Heat Island (UHI) effect caused by anthropogenic activities and unique urban surface properties. However, the UHI impacts on air quality and aerosol forecasts in major cities have not been well understood yet. The objective of this paper is to address this knowledge gap by characterizing the impacts of the UHI on meteorological and aerosol forecasts in cities. To this end, more than 30 days of simulations over two major US cities (Houston and Dallas) are performed using the Weather Research and Forecasting (WRF) model coupled with Chemistry (WRF-Chem). In total, 78 simulations are conducted by varying the Planetary Boundary Layer (PBL) schemes, urban models, and various UHI magnitudes. Our results indicate that the current urban schemes in WRF do not accurately parameterize UHI effects which can highly influence their air pollution and meteorological forecasts. The lack of proper UHI representation causes a more stable atmosphere during nighttime as the model does not account for additional heating that occurs in major cities. This leads to the accumulation of aerosol forecasts on urban surfaces and overestimated particulate matter forecasts. By enhancing the UHI representation, we were able to remarkably improve the default WRF-Chem forecasts of particulate matter and ozone by an average of ∼50 % and ∼12 % in Houston, respectively. Similar improvements were obtained for Dallas, and different PBL and urban schemes. The study underscores the significance of urban-specific models such as the UHI effect for accurate meteorological and aerosol forecasts in cities.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"315 ","pages":"Article 107923"},"PeriodicalIF":4.5,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
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Atmospheric Research
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