Atmospheric Research最新文献

{"title":"Corrigendum to “Black carbon pollution over India simulated with recent emission inventories and WRF-CHEM model” [Atmospheric Research, 315 (2025) 107931].","authors":"Rahul Sheoran , Sanhita Ghosh , U.C. Dumka , D.G. Kaskaoutis , R.E.P. Sotiropoulou , S.D. Attri , V.K. Soni , Suresh Tiwari , Siddharth Singh , Rahesh K. Tiwari","doi":"10.1016/j.atmosres.2025.108083","DOIUrl":"10.1016/j.atmosres.2025.108083","url":null,"abstract":"","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"320 ","pages":"Article 108083"},"PeriodicalIF":4.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716176","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}

{"title":"How well do the reanalysis datasets capture hot and cold extremes and their trends in India?","authors":"Suman Bhattacharyya ,&nbsp;Marwan A. Hassan ,&nbsp;S. Sreekesh ,&nbsp;Vandana Choudhary","doi":"10.1016/j.atmosres.2025.108073","DOIUrl":"10.1016/j.atmosres.2025.108073","url":null,"abstract":"<div><div>Much of the Earth's surface lacks long-term in-situ measurement of essential meteorological variables. Climate reanalysis datasets provide an alternative in data-sparse regions, sometimes replacing gauge-based observations for climatological studies, however, they have inherent biases. Reanalysis is now available at finer spatial and temporal resolutions, that can be considered for hydrological and climatological studies. Although the assessment of reanalysis datasets is common at a daily, monthly, or seasonal scale, how the recent generation reanalysis captures the spatial pattern of extreme temperature events, and their trends remains an open question.</div><div>In this study, two regional (IMDAA and EARS) and five global (ERA5-Land, ERA5, MERRA2, CFSR, and JRA3Q) reanalysis datasets are evaluated with a gauge-based gridded temperature dataset from the India Meteorological Department (IMD) to assess their suitability for studying extreme temperature events and their trends over India. Fifteen hot and cold extremes indices are identified to characterize extremes covering frequency, intensity, and duration of extreme temperature events.</div><div>The study finds that no single reanalysis outperforms others for all the extreme indices when compared to the IMD gridded data, however, a select few (e.g., ERA5, ERA5L, MERRA2, and JRA3Q) better perform in reproducing the observed spatial pattern of extreme events and their changes across different regions of India. It is also noted that in response to global warming, the frequency, duration, and magnitude of extreme hot events are rising, and cold events are decreasing in India which is also captured by most of these reanalyses. Overall, the increase in hot extremes is more prominent in the south of the tropics and the decline in cold extremes is more evident in the north. However, the trend areas and magnitudes of the reanalysis datasets were not similar in comparison to trends from a regional station-based gridded dataset. Thus, care should be taken when selecting datasets for such applications and interpreting their trends.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"321 ","pages":"Article 108073"},"PeriodicalIF":4.5,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704342","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}

{"title":"Correction of path integrated attenuation using data from two X-band ground-based radars and GPM","authors":"Eleni Loulli ,&nbsp;Silas Michaelides ,&nbsp;Johannes Bühl ,&nbsp;Athanasios Loukas ,&nbsp;Diofantos G. Hadjimitsis","doi":"10.1016/j.atmosres.2025.108080","DOIUrl":"10.1016/j.atmosres.2025.108080","url":null,"abstract":"<div><div>This study attempts to correct the attenuation of the radar reflectivity factor from two X-band radars in Cyprus, using a constrained attenuation correction method. This research was implemented under the assumption that the difference between the reflectivity measured by each of the ground radars, on the one hand, and the reflectivity measured by the Global Precipitation Measurement (GPM) mission, on the other hand, equals the path integrated attenuation (PIA). This is because solely the reflectivity data at horizontal polarization have been used so far. Various parameter combinations of linear coefficients for the constrained correction were tested empirically, using GPM DPR data as a reference. The results showed that no single parameter combination can be consistently effective, and highlighted the need for event- and radar-specific attenuation correction.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"321 ","pages":"Article 108080"},"PeriodicalIF":4.5,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704553","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}

{"title":"Spatiotemporal variations of global precipitation concentration and potential links to flood-drought events in past 70 years","authors":"Jianing Sun ,&nbsp;Huilan Zhang ,&nbsp;Tiezheng Wang ,&nbsp;Yuan Xu ,&nbsp;Can Huang ,&nbsp;Shuyi Dan","doi":"10.1016/j.atmosres.2025.108086","DOIUrl":"10.1016/j.atmosres.2025.108086","url":null,"abstract":"<div><div>The evaluation of precipitation events is crucial for predicting severe droughts and floods, particularly in the context of global warming. This study presents a comprehensive spatiotemporal analysis of the global precipitation concentration index (CI) from 1950 to 2020, comparing CI with nine extreme precipitation indices to assess its applicability. The world map was divided into three distinct regions related to flood-drought events using the standardized precipitation index (SPI). Key findings include: 1) CI exhibited significant spatial heterogeneity, with elevated values in seasonally warm coastlines and arid regions. Seasonal changes in CI were not synchronized, particularly lower in Northern Hemisphere winters, while the Southern Hemisphere displayed minor seasonal variation, alongside a long-term growth trend in approximately 36.5 % of the global area. 2) CI's spatiotemporal variations helped delineating regional precipitation patterns, revealing a strong correlation (R² = 0.87) with the extreme precipitation index R95c, but a negligible relationship with total precipitation (P) (R² = -0.05). This facilitated the global partitioning into three regions: Humidity Amplification Region (I), Dryness Intensification Region (II), and Climate Fluctuation Region (III). 3) Flood-drought events were potentially linked to variations in CI and P, where In Region I experienced increased flood risk due to rising CI and P, Region II faced heightened drought risk from rising CI and declining P, and Region III showed opposing effects on floods due to reduced CI and increased P, with P variability significantly influencing flood frequency. 4) The main atmospheric circulation factors varied by region, typically including the Antarctic Oscillation (AAO), Atlantic Multi-decadal Oscillation (AMO) and Arctic Oscillation (AO), with AAO being most significant. This study highlights the potential of CI in improving the prediction of drought and flood risks, emphasizing the need for enhanced regional data and dynamic modeling to better assess the impacts of climate change on precipitation patterns and hydrological extremes.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"321 ","pages":"Article 108086"},"PeriodicalIF":4.5,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704345","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}

{"title":"Reassessing the ENSO-related Hadley circulation contraction from a regional perspective","authors":"Yujie Miao ,&nbsp;Tao Lian ,&nbsp;Juan Feng ,&nbsp;Yadi Li ,&nbsp;Wenzhu Wang ,&nbsp;Yurong Hou ,&nbsp;Xichen Li","doi":"10.1016/j.atmosres.2025.108085","DOIUrl":"10.1016/j.atmosres.2025.108085","url":null,"abstract":"<div><div>El Niño event usually intensifies Hadley Circulation (HC), meanwhile reducing its meridional extension. From a global perspective, the width change of HC is associated with the meridional movement of baroclinic instability and eddy activities over the subtropics. However, these hypotheses may not work for regional HC. In this study, we construct the three-dimensional structure of HC and investigate the El Niño-related regional HC variability, focusing on the meridional extension. El Niño is associated with an expansion of HC over the central-eastern Pacific but a contraction over the west. Unlike the global HC, the strengthening (weakening) of regional HC usually coincides with an expansion (contraction). Nevertheless, the “narrow” equatorial intensification over the eastern Pacific and the “widespread” subtropical weakening over the Indo-Western Pacific of regional HC collectively form a strengthening and contraction of global HC. This spatial pattern of regional HC intensity changes is tightly associated with the ENSO-related precipitation and sea surface temperature (SST) gradient anomalies. Our result has broad implications for global climate predictability, highlighting the importance of a better understanding of the interactions between the regional HC and tropical/subtropical climate variabilities.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"321 ","pages":"Article 108085"},"PeriodicalIF":4.5,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715898","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}

{"title":"On the spatio-temporal coherence of extreme precipitation indices in subtropical Argentina","authors":"Lorenzo Ricetti ,&nbsp;Santiago I. Hurtado ,&nbsp;Eduardo Agosta Scarel","doi":"10.1016/j.atmosres.2025.108082","DOIUrl":"10.1016/j.atmosres.2025.108082","url":null,"abstract":"<div><div>This study evaluates the spatio-temporal coherence of regional extreme precipitation indices in subtropical Argentina (STAr) derived from rain gauge station data from 1991 to 2021. For the regionalization two machine learning clustering algorithms are used—Ward's method and K-means—and a novel stepwise regionalization approach, HAZ. While machine learning algorithms require the apriori definition of the optimal number of clusters, which varies considerably with the used metric and selection criteria, the HAZ method relies on a Pearson's correlation coefficient threshold and avoids this limitation. In most cases machine learning algorithms struggled to produce coherent regions, with fewer clusters prioritizing spatial coherence at the expense of temporal consistency, and vice versa. Conversely, the HAZ method systematically outperformed machine learning approaches, providing regions with adequate spatio-temporal coherence. Notably, HAZ permits some stations to remain unclustered, allowing to reflect the local variability in extreme precipitation. The overall good performance of the HAZ method demonstrates its potential for broader applications in hydro-climatic studies. Moreover, two intensity indices were unsuitable for regionalization due to poor coherence, while the other three were prone to regionalization throughout the year. The Accumulated index, particularly using the 95th percentile as a threshold, emerged as the most representative, effectively synthesizing extreme precipitation characteristics in STAr. Finally, the necessity of validating the spatio-temporal internal coherence of clustering algorithms outputs is emphasized to avoid mischaracterization and ensure robust regionalization results.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"320 ","pages":"Article 108082"},"PeriodicalIF":4.5,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679474","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}

{"title":"Effects of the estimated inversion strength and aerosols on monthly variations of subtropical marine stratocumulus to the west of Africa","authors":"Waren Dale Soriano ,&nbsp;Tra Dinh ,&nbsp;Gilles Bellon","doi":"10.1016/j.atmosres.2025.108078","DOIUrl":"10.1016/j.atmosres.2025.108078","url":null,"abstract":"<div><div>Satellite and reanalysis data over the 2003–2022 period are used to study how the monthly variations of marine stratocumulus (MSc) to the west of Canary Islands and Namibia are influenced by thermodynamic variables and aerosols. Although the estimated inversion strength (EIS) has been thought to be the main predictor of low-cloud cover (LCC), the seasonal cycles of EIS and LCC differ significantly in the Canary MSc region. In linear regression models, adding dust aerosol (DA) optical depth as a predictor improves the prediction of LCC across all seasons and almost everywhere in the region compared to using EIS alone. In boreal summer, large amount of DAs are transported from the Sahara to the Canary MSc region. Analysis of the regression models shows that DAs contribute more than EIS to the Canary summer LCC maximum, reducing the error by up to 11 %. Biomass-burning aerosols (BBAs) also improve the prediction of LCC in the Canary MSc region, but less so than DAs, suggesting that BBAs are less effective as cloud condensation nucleii. Other known thermodynamic predictors of LCC (sea surface temperature, horizontal surface temperature advection, near-surface wind speed, and free-tropospheric relative humidity and vertical velocity) also improve the prediction, but much less effectively than the aerosols. In the Namibia MSc region, there are virtually no DAs but BBAs are abundant. There, EIS alone captures well the seasonal cycle of LCC. In this region, the effect of BBAs on LCC is hidden behind that of EIS, potentially because BBA optical depth and EIS coincidentally have similar seasonal cycles.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"321 ","pages":"Article 108078"},"PeriodicalIF":4.5,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738169","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}

{"title":"Atmospheric deposition of dissolved organic carbon: Magnitude, spatiotemporal pattern and influencing factors","authors":"Jing Cao ,&nbsp;Zhihui Chen ,&nbsp;Shiguo Jia ,&nbsp;Jiawei Li ,&nbsp;Wen Xu ,&nbsp;Yuepeng Pan","doi":"10.1016/j.atmosres.2025.108079","DOIUrl":"10.1016/j.atmosres.2025.108079","url":null,"abstract":"<div><div>Atmospheric deposition of dissolved organic carbon (DOC) is not routinely measured in existing observation networks worldwide. This paucity of measurements prevents the comprehensive assessment of the global DOC budget in the atmosphere and is currently a barrier to understanding the vital role of the airborne DOC input to soil and water. In this study, 172 observations of atmospheric DOC deposition at the global scale published between 1985 and 2024 were compiled. Overall, the global geometric mean DOC concentration and flux were 2.03 ± 2.12 mg C L⁻¹ and 18 kg C ha⁻¹ yr⁻¹, respectively, with a global budget of approximately 460 Tg C yr⁻¹. While these values are comparable to those reported in previous global-scale studies, they differ across regions. Spatially, the DOC deposition fluxes observed in Africa, Central America, and South America were 2–7 times greater than those reported in North America, Europe, and Asia, which conforms with the spatial distribution of the annual precipitation in these regions, especially for an annual precipitation greater than 1400 mm. When the annual precipitation is less than 1400 mm, the spatial distribution of atmospheric DOC deposition is also influenced by emissions. Owing to the substantial decline in emissions, atmospheric DOC deposition has declined in North America, Asia, and especially in China over the past 10 years.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"321 ","pages":"Article 108079"},"PeriodicalIF":4.5,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715702","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}

{"title":"Identification and characteristics of regional rainstorm events in China based on a dual-threshold method","authors":"Siyuan Dai,&nbsp;Qi Zhang,&nbsp;Shaofeng Huang","doi":"10.1016/j.atmosres.2025.108081","DOIUrl":"10.1016/j.atmosres.2025.108081","url":null,"abstract":"<div><div>Regional extreme precipitation can cause severe flooding with major environmental and social impacts. While most existing studies either ignored their spatiotemporally contiguous or abnormally break down the events with multiple rainstorm cores, rapid movement, or transient interruptions into multiple isolated fragments. Here, we propose a novel approach for identifying regional rainstorm events (RREs), which integrates dual-threshold with a three-dimensional (longitude, latitude, and time) image connectivity perspective. There were 1163 RREs identified across mainland China from 1991 to 2022 based on the CN05.1 dataset. The spatial, temporal, and movement patterns of RREs were analyzed. Results showed that 71.2 % of RREs lasted only one day, with intensity mostly around 60–70 mm/day. The cumulative magnitude of RREs was most positively correlated with its affected area (<em>r</em> = 0.95). The occurrence frequency of RREs had a significant upward trend during 1991–2022, approximately increased 2.7 events per decade, while the severity slightly declined. Spatially, the highest frequencies of RREs were observed in southeastern China. Based on the movement direction and distance, RREs were classified into four patterns: Eastward Moving, Southwestward Moving, Localized, and Northward Moving. Northward Moving RREs exhibited the largest affected area, the greatest cumulative magnitude, and the longest movement distance, followed by Eastward Moving RREs. Localized RREs had the shortest duration, the smallest affected area and movement distance, but the highest intensity (averaging 92.6 mm/day). Our findings provide new insights for understanding the characteristics of regional extreme precipitation and their driving mechanisms, which are valuable for forecasting and adapting to the resultant disasters.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"320 ","pages":"Article 108081"},"PeriodicalIF":4.5,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672854","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}

{"title":"Corrigendum to “Integrated water vapor over the Arctic: Comparison between radiosondes and sun photometer observations” [Atmospheric Research 270 (2022) 1–9 /106059]","authors":"Juan Carlos Antuña-Marrero ,&nbsp;Roberto Román ,&nbsp;Victoria E. Cachorroa ,&nbsp;David Mateos ,&nbsp;Carlos Toledano ,&nbsp;Abel Calle ,&nbsp;Juan Carlos Antuña-Sánchez ,&nbsp;Ramiro Gonzalez ,&nbsp;Manuel Antón ,&nbsp;Javier Vaquero-Martínez ,&nbsp;Ángel M. de Frutos Baraja","doi":"10.1016/j.atmosres.2025.108072","DOIUrl":"10.1016/j.atmosres.2025.108072","url":null,"abstract":"","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"320 ","pages":"Article 108072"},"PeriodicalIF":4.5,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716239","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}