Pub Date : 2026-01-16DOI: 10.1016/j.atmosres.2026.108778
Ting Qiu , Qinghua Yang , Bo Han , Xingya Xi , Zhongya Cai , Shijie Peng , Changwei Liu
Atmospheric boundary layer (ABL) structure over the Southern Ocean not only determines air-sea interactions but also influences local synoptic processes. However, due to the scarcity of observations, it has been rarely investigated. Here, based on the radiosonde observations conducted during the 37th Chinese Antarctic Scientific Expedition, the characteristics of the ABL structure over the Cosmonaut Sea and Bellinsgauzen Sea in the 2021 summer are revealed. The main findings are as follows: (1) The mean ABL height (ABLH) is lower in the ice-covered region than in the open water region, as enhanced radiative cooling and weakened sea-air heat exchange suppress the development of ABL. (2) The Thorpe method can well describe the vertical distribution of turbulent dissipation rate (ε) in ABL, and suggests that there is a noticeable difference in the vertical profile of ε between convective boundary layer and near-neutral boundary layer. (3) A case study of the most intense cyclone in January shows that the mean ABLH is higher during the cyclone period than during non-cyclone periods. Cold advection brought by the cyclone destabilizes stable stratification aloft, promoting the coupling of cloud and ABL. Concurrently, the cyclone-driven strong winds enhance low-level jets, intensify vertical shear, and thereby foster turbulent mixing. Together, these mechanisms strengthen turbulent activity and deepen the ABLH during the cyclone period.
{"title":"The characteristics of the atmospheric boundary layer structure over the Cosmonaut Sea and Bellinsgauzen Sea during summer 2021","authors":"Ting Qiu , Qinghua Yang , Bo Han , Xingya Xi , Zhongya Cai , Shijie Peng , Changwei Liu","doi":"10.1016/j.atmosres.2026.108778","DOIUrl":"10.1016/j.atmosres.2026.108778","url":null,"abstract":"<div><div>Atmospheric boundary layer (ABL) structure over the Southern Ocean not only determines air-sea interactions but also influences local synoptic processes. However, due to the scarcity of observations, it has been rarely investigated. Here, based on the radiosonde observations conducted during the 37th Chinese Antarctic Scientific Expedition, the characteristics of the ABL structure over the Cosmonaut Sea and Bellinsgauzen Sea in the 2021 summer are revealed. The main findings are as follows: (1) The mean ABL height (<em>ABLH</em>) is lower in the ice-covered region than in the open water region, as enhanced radiative cooling and weakened sea-air heat exchange suppress the development of ABL. (2) The Thorpe method can well describe the vertical distribution of turbulent dissipation rate (<em>ε</em>) in ABL, and suggests that there is a noticeable difference in the vertical profile of <em>ε</em> between convective boundary layer and near-neutral boundary layer. (3) A case study of the most intense cyclone in January shows that the mean <em>ABLH</em> is higher during the cyclone period than during non-cyclone periods. Cold advection brought by the cyclone destabilizes stable stratification aloft, promoting the coupling of cloud and ABL. Concurrently, the cyclone-driven strong winds enhance low-level jets, intensify vertical shear, and thereby foster turbulent mixing. Together, these mechanisms strengthen turbulent activity and deepen the <em>ABLH</em> during the cyclone period.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108778"},"PeriodicalIF":4.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995757","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}
Pub Date : 2026-01-16DOI: 10.1016/j.atmosres.2026.108781
Lintong Cai , Sunandan Mahant , Emma Weissburg , Anna M. Robertson , Jefferson R. Snider , Markus D. Petters
Arctic aerosols play an important role in modulating high-latitude weather and climate. However, spatiotemporal aerosol distributions in the Arctic remain poorly quantified. Here, we present aerosol physicochemical properties observed during the Cold Air Outbreak Experiment in the Sub-Arctic Region (CAESAR) campaign. The airborne measurements covered a wide vertical range, from the near-surface to the free troposphere, across remote regions between Scandinavia and the coast of Greenland. A merged particle distribution product, spanning from 10 nm to 3 μm in diameter, was developed by combining a suite of five aerosol sensors. Number closure was achieved between the different instruments. Estimated aerosol concentration from the merged size distribution varied between ∼50 and ∼ 700 scm−3. Refractory black carbon mass concentrations (70–800 nm) varied between ∼0.9 and ∼ 80.4 ng sm−3. Aerosol mass concentration observations were compared to the NASA Goddard Earth Observing System composition forecast (GEOS-CF). The model concentrations correlated with the observations exhibit agreement with the spatial and temporal distribution of localized black carbon aerosol plumes. During Research Flight (RF) 09, the black carbon mass concentration model-vs-observation Pearson correlation coefficient r is 0.84. Observed fine particulate matter (PM2.5) were significantly larger than the model concentrations within the marine boundary layer (MBL). The high observed PM2.5 concentrations were due to coarse mode aerosol, suggesting that the model did not accurately capture sea-spray production. Over the study domain, the median normalized mean bias (NMB) was −2454% and the normalized mean root square error (NMRSE) was 35% for PM2.5; and 1372% (10,619%) and 90% (177%) for refractory black carbon within the marine boundary layer (free troposphere), respectively. The dataset and data/model intercomparison provide new constraints for understanding aerosol properties in the Arctic region.
{"title":"Observed aerosol properties and aerosol forecast evaluation in the Arctic region during cold air outbreaks","authors":"Lintong Cai , Sunandan Mahant , Emma Weissburg , Anna M. Robertson , Jefferson R. Snider , Markus D. Petters","doi":"10.1016/j.atmosres.2026.108781","DOIUrl":"10.1016/j.atmosres.2026.108781","url":null,"abstract":"<div><div>Arctic aerosols play an important role in modulating high-latitude weather and climate. However, spatiotemporal aerosol distributions in the Arctic remain poorly quantified. Here, we present aerosol physicochemical properties observed during the Cold Air Outbreak Experiment in the Sub-Arctic Region (CAESAR) campaign. The airborne measurements covered a wide vertical range, from the near-surface to the free troposphere, across remote regions between Scandinavia and the coast of Greenland. A merged particle distribution product, spanning from 10 nm to 3 μm in diameter, was developed by combining a suite of five aerosol sensors. Number closure was achieved between the different instruments. Estimated aerosol concentration from the merged size distribution varied between ∼50 and ∼ 700 scm<sup>−3</sup>. Refractory black carbon mass concentrations (70–800 nm) varied between ∼0.9 and ∼ 80.4 ng sm<sup>−3</sup>. Aerosol mass concentration observations were compared to the NASA Goddard Earth Observing System composition forecast (GEOS-CF). The model concentrations correlated with the observations exhibit agreement with the spatial and temporal distribution of localized black carbon aerosol plumes. During Research Flight (RF) 09, the black carbon mass concentration model-vs-observation Pearson correlation coefficient <em>r</em> is 0.84. Observed fine particulate matter (PM<sub>2.5</sub>) were significantly larger than the model concentrations within the marine boundary layer (MBL). The high observed PM<sub>2.5</sub> concentrations were due to coarse mode aerosol, suggesting that the model did not accurately capture sea-spray production. Over the study domain, the median normalized mean bias (NMB) was −2454% and the normalized mean root square error (NMRSE) was 35% for PM<sub>2.5</sub>; and 1372% (10,619%) and 90% (177%) for refractory black carbon within the marine boundary layer (free troposphere), respectively. The dataset and data/model intercomparison provide new constraints for understanding aerosol properties in the Arctic region.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"335 ","pages":"Article 108781"},"PeriodicalIF":4.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995758","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}
Pub Date : 2026-01-14DOI: 10.1016/j.atmosres.2026.108764
Fangzheng Hu , Feiyue Mao , Yi Zhang , Jia Hong , Lin Zang , Zhaoliang Zeng , Sicong Lin , Wei Gong , Daniel Rosenfeld
Aerosols significantly impact solar radiation forecasts, but substantial uncertainties persist in numerical models due to inadequate aerosol representation. This study develops a data assimilation framework integrating hourly surface-level particulate matter (PM₂.₅) retrievals from the FY-4B geostationary satellite into the WRF-Chem model with solar radiation diagnostics via the Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) system. Assimilation experiments conducted over central and eastern China in November 2022 demonstrate marked improvements in PM₂.₅ forecasts, with correlation coefficients increasing from 0.39 to 0.82, and root mean square error (RMSE) decreasing by approximately 45%. Improved aerosol initial conditions significantly reduce uncertainties in surface downward shortwave radiation (SWDOWN) predictions, lowering midday bias by over 50% and RMSE by roughly 40% across the domain. Consistent forecast enhancements were verified through spatiotemporal analyses across various pollution levels. These results highlight the practical value of assimilating hourly FY-4B PM₂.₅ retrievals for simultaneously improving air quality and solar radiation forecasts. The proposed assimilation approach offers a robust, replicable solution for near-real-time operational forecasting, thereby supporting photovoltaic energy planning and effective air quality management.
{"title":"Assimilating FY-4B satellite aerosol data to improve PM₂.₅ and surface shortwave radiation prediction","authors":"Fangzheng Hu , Feiyue Mao , Yi Zhang , Jia Hong , Lin Zang , Zhaoliang Zeng , Sicong Lin , Wei Gong , Daniel Rosenfeld","doi":"10.1016/j.atmosres.2026.108764","DOIUrl":"10.1016/j.atmosres.2026.108764","url":null,"abstract":"<div><div>Aerosols significantly impact solar radiation forecasts, but substantial uncertainties persist in numerical models due to inadequate aerosol representation. This study develops a data assimilation framework integrating hourly surface-level particulate matter (PM₂.₅) retrievals from the FY-4B geostationary satellite into the WRF-Chem model with solar radiation diagnostics via the Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) system. Assimilation experiments conducted over central and eastern China in November 2022 demonstrate marked improvements in PM₂.₅ forecasts, with correlation coefficients increasing from 0.39 to 0.82, and root mean square error (RMSE) decreasing by approximately 45%. Improved aerosol initial conditions significantly reduce uncertainties in surface downward shortwave radiation (SWDOWN) predictions, lowering midday bias by over 50% and RMSE by roughly 40% across the domain. Consistent forecast enhancements were verified through spatiotemporal analyses across various pollution levels. These results highlight the practical value of assimilating hourly FY-4B PM₂.₅ retrievals for simultaneously improving air quality and solar radiation forecasts. The proposed assimilation approach offers a robust, replicable solution for near-real-time operational forecasting, thereby supporting photovoltaic energy planning and effective air quality management.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108764"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995737","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}
Pub Date : 2026-01-14DOI: 10.1016/j.atmosres.2026.108777
Suresh K.R. Boreddy, Vijayakumar S. Nair, Prashant Hegde, S. Suresh Babu
Coastal tropical regions are ideal for studying sources and processes of organic aerosols (OA) due to their high humidity and solar radiation, with land- and sea-breeze circulations influencing OA transport. However, their molecular characteristics in these areas are not well understood. This study analysed PM10 samples from Thumba (8.5°N, 76.9°E, approximately 3 m above sea level, a coastal location in tropical India), collected on day and night basis during the pre-monsoon period, detecting various classes of organic molecular markers including biomass-burning, biological, aromatic compounds, phthalates, and biogenic secondary organic compounds using gas chromatography/mass spectrometry (GC/MS). Results showed that total quantified organic compounds were twice as abundant during the daytime, indicating that photochemical processes are the primary sources. Phthalates and aromatics were the dominant compounds throughout the sampling period. This suggests that OA production primarily results from plastic evaporation during the day, while municipal solid waste burning occurs mostly at night, as confirmed by higher daytime phthalate emissions and nighttime terephthalic acid emissions (a tracer of plastic combustion). The presence of primary sugars and sugar alcohols during the day implies that plant emissions (pollen, spores) are significant sources of primary OA. In contrast, nighttime hydroxy and polyacids indicate secondary OA formation associated with anthropogenic emissions. Furthermore, monoterpene-derived secondary organic products were more prevalent than those from isoprene, especially during daylight hours. OA particles from biomass burning were minimal, as evidenced by lower levels of anhydrosugars and lignin/resin products. Overall, the present study highlights that the photochemical degradation of phthalates and the burning of municipal solid waste containing plastics are significant sources of OA at Thumba during the pre-monsoon, with land-sea breeze transport and photodegradation/evaporation influencing their diurnal variation. The prominence of phthalates and aromatics highlight the importance of understanding airborne nanoplastics and their climate effects in tropical coastal atmospheres.
{"title":"Synergy between land-sea breeze dynamics and photochemistry governs the diurnal variability of primary and secondary organic aerosols in a tropical coastal atmosphere","authors":"Suresh K.R. Boreddy, Vijayakumar S. Nair, Prashant Hegde, S. Suresh Babu","doi":"10.1016/j.atmosres.2026.108777","DOIUrl":"10.1016/j.atmosres.2026.108777","url":null,"abstract":"<div><div>Coastal tropical regions are ideal for studying sources and processes of organic aerosols (OA) due to their high humidity and solar radiation, with land- and sea-breeze circulations influencing OA transport. However, their molecular characteristics in these areas are not well understood. This study analysed PM<sub>10</sub> samples from Thumba (8.5°N, 76.9°E, approximately 3 m above sea level, a coastal location in tropical India), collected on day and night basis during the pre-monsoon period, detecting various classes of organic molecular markers including biomass-burning, biological, aromatic compounds, phthalates, and biogenic secondary organic compounds using gas chromatography/mass spectrometry (GC/MS). Results showed that total quantified organic compounds were twice as abundant during the daytime, indicating that photochemical processes are the primary sources. Phthalates and aromatics were the dominant compounds throughout the sampling period. This suggests that OA production primarily results from plastic evaporation during the day, while municipal solid waste burning occurs mostly at night, as confirmed by higher daytime phthalate emissions and nighttime terephthalic acid emissions (a tracer of plastic combustion). The presence of primary sugars and sugar alcohols during the day implies that plant emissions (pollen, spores) are significant sources of primary OA. In contrast, nighttime hydroxy and polyacids indicate secondary OA formation associated with anthropogenic emissions. Furthermore, monoterpene-derived secondary organic products were more prevalent than those from isoprene, especially during daylight hours. OA particles from biomass burning were minimal, as evidenced by lower levels of anhydrosugars and lignin/resin products. Overall, the present study highlights that the photochemical degradation of phthalates and the burning of municipal solid waste containing plastics are significant sources of OA at Thumba during the pre-monsoon, with land-sea breeze transport and photodegradation/evaporation influencing their diurnal variation. The prominence of phthalates and aromatics highlight the importance of understanding airborne nanoplastics and their climate effects in tropical coastal atmospheres.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108777"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995739","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}
Pub Date : 2026-01-14DOI: 10.1016/j.atmosres.2026.108776
Stefano Rimoldi , Marcus Acton-Bond , Vera Bernardoni , Laura Cadeo , Gianluigi Valli , Cristina Colombi , Rosario Cosenza , Manousos-Ioannis Manousakas , Benjamin Chazeau , Roberta Vecchi
In this work, aerosol absorption and scattering properties were investigated to gather additional information on aerosol types and sources. During a one-year campaign in Milan (Italy), a multi-wavelength aethalometer and a nephelometer were operated in parallel. Scattering coefficients are in general scarcely available at urban sites and this was the very first dataset for Milan and, more generally, for an urban site in the Po valley which is a well-known pollution hot-spot in Europe.
Time patterns of the absorption and scattering coefficients throughout the year were investigated and Absorption/Scattering Ångström Exponents (AAE and SAE, respectively) were also computed to relate the optical properties to fossil vs. wood fuel combustion emission sources and to small vs. large particle size. The average daily trends for the absorption coefficients reflected the behaviour of the sources, with peaks in the morning due to traffic emissions observed in all seasons, and high values during the night as a consequence of lower mixing heights and, in winter, of domestic heating emissions, too.
To gain knowledge about aerosol types and origin an innovative cluster analysis approach using AAE and SAE led to the identification of different aerosol types; this is an easy-to-implement approach which could be applied in monitoring networks for near-real time aerosol types identification. Moreover, episodes affected by specific aerosol types (i.e., fire event, desert dust air mass transport…) were singled out applying a more refined approach combining five intensive optical parameters.
{"title":"Atmospheric aerosol light scattering and absorption properties in the urban area of Milan (Italy): A focus on aerosol typing","authors":"Stefano Rimoldi , Marcus Acton-Bond , Vera Bernardoni , Laura Cadeo , Gianluigi Valli , Cristina Colombi , Rosario Cosenza , Manousos-Ioannis Manousakas , Benjamin Chazeau , Roberta Vecchi","doi":"10.1016/j.atmosres.2026.108776","DOIUrl":"10.1016/j.atmosres.2026.108776","url":null,"abstract":"<div><div>In this work, aerosol absorption and scattering properties were investigated to gather additional information on aerosol types and sources. During a one-year campaign in Milan (Italy), a multi-wavelength aethalometer and a nephelometer were operated in parallel. Scattering coefficients are in general scarcely available at urban sites and this was the very first dataset for Milan and, more generally, for an urban site in the Po valley which is a well-known pollution hot-spot in Europe.</div><div>Time patterns of the absorption and scattering coefficients throughout the year were investigated and Absorption/Scattering Ångström Exponents (AAE and SAE, respectively) were also computed to relate the optical properties to fossil vs. wood fuel combustion emission sources and to small vs. large particle size. The average daily trends for the absorption coefficients reflected the behaviour of the sources, with peaks in the morning due to traffic emissions observed in all seasons, and high values during the night as a consequence of lower mixing heights and, in winter, of domestic heating emissions, too.</div><div>To gain knowledge about aerosol types and origin an innovative cluster analysis approach using AAE and SAE led to the identification of different aerosol types; this is an easy-to-implement approach which could be applied in monitoring networks for near-real time aerosol types identification. Moreover, episodes affected by specific aerosol types (i.e., fire event, desert dust air mass transport…) were singled out applying a more refined approach combining five intensive optical parameters.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108776"},"PeriodicalIF":4.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995752","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}
Pub Date : 2026-01-13DOI: 10.1016/j.atmosres.2026.108774
J. Díaz-Fernández , C. Calvo-Sancho , M. López-Reyes , P. Bolgiani , J.J. González-Alemán , A. Morata , D. Santos-Muñoz , M.L. Martín
Supercells are among the most hazardous convective systems, frequently producing large hail, destructive winds, and severe socio-economic impacts. The enhancement of weather simulations is identified as a primary strategy to optimise short-term forecasting. The present study investigates the performance of two high-resolution configurations of the HARMONIE-AROME model during a severe supercell outbreak over eastern Iberia on 31st July 2015, when six confirmed supercells caused significant damage. The setups tested include a two-step one-way nested approach (2.5 km outer domain and 500 m inner domain), and a single-domain configuration at 500 m resolution. The model outputs, which include reflectivity, precipitation and temperature, are validated against OPERA radar composites and surface observations. At the same time, key convective parameters, derived from the Murcia sounding, are analyzed to assess the pre-convective environment. Although the simulations demonstrate a similar structure to the observed event, the two-domain nested simulation offers a slightly superior depiction of reflectivity and thermodynamic profiles. Nevertheless, precipitation analysis reveals that while nesting improves moderate rainfall representation, it introduces larger errors for the most extreme amounts, limiting its overall benefit. The obtained gain is not sufficient to offset the 30% higher computational cost when the two-domain nested approach is used. The single-domain non-nested configuration demonstrates a superior level of efficiency, exhibiting equivalent accuracy while exhibiting a diminished resource requirement.
{"title":"Cost-benefit analysis of the nesting approach in HARMONIE-AROME for a supercell outbreak case study","authors":"J. Díaz-Fernández , C. Calvo-Sancho , M. López-Reyes , P. Bolgiani , J.J. González-Alemán , A. Morata , D. Santos-Muñoz , M.L. Martín","doi":"10.1016/j.atmosres.2026.108774","DOIUrl":"10.1016/j.atmosres.2026.108774","url":null,"abstract":"<div><div>Supercells are among the most hazardous convective systems, frequently producing large hail, destructive winds, and severe socio-economic impacts. The enhancement of weather simulations is identified as a primary strategy to optimise short-term forecasting. The present study investigates the performance of two high-resolution configurations of the HARMONIE-AROME model during a severe supercell outbreak over eastern Iberia on 31st July 2015, when six confirmed supercells caused significant damage. The setups tested include a two-step one-way nested approach (2.5 km outer domain and 500 m inner domain), and a single-domain configuration at 500 m resolution. The model outputs, which include reflectivity, precipitation and temperature, are validated against OPERA radar composites and surface observations. At the same time, key convective parameters, derived from the Murcia sounding, are analyzed to assess the pre-convective environment. Although the simulations demonstrate a similar structure to the observed event, the two-domain nested simulation offers a slightly superior depiction of reflectivity and thermodynamic profiles. Nevertheless, precipitation analysis reveals that while nesting improves moderate rainfall representation, it introduces larger errors for the most extreme amounts, limiting its overall benefit. The obtained gain is not sufficient to offset the 30% higher computational cost when the two-domain nested approach is used. The single-domain non-nested configuration demonstrates a superior level of efficiency, exhibiting equivalent accuracy while exhibiting a diminished resource requirement.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108774"},"PeriodicalIF":4.4,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962695","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}
Pub Date : 2026-01-13DOI: 10.1016/j.atmosres.2026.108775
Huiyun Ma , Jiedong Liu , Zengwei Liu , Huihui Feng , Guannan Li , Runxi Gu
Under the trend of global warming, the Arctic region has experienced increasing warming and accelerating melting of sea ice, resulting in the opening of Arctic shipping routes with significant navigational potential. However, intense water vapor releases and a cold underlying surface can lead to frequent occurrences of sea fog and low clouds over the Arctic ice surfaces. Conducting detection of sea fog and low clouds is therefore highly important for ensuring the safety of Arctic shipping routes. In this study, a satellite detection algorithm for summer daytime sea fog and low clouds in ice floe fields of the Arctic has been proposed using the time series remote sensing data from the Moderate-Resolution Imaging Spectroradiometer (MODIS) and the AdaBoost method. Methodologically, three spectral indices, the normalized difference sea-water index (NDSWI), the sea-ice recognition index (SIRI), and the mid-high-cloud recognition index (MHCRI), are first constructed by analyzing the variations in reflection spectra for sea fog and low clouds, sea ice, sea water, and mid-high clouds. Additionally, three texture features, namely, the homogeneity, contrast, and entropy, of the brightness temperature at 11.030 μm (BT11.030 μm) are calculated using the gray-level co-occurrence matrix (GLCM). Subsequently, a strong learner classification model of the AdaBoost ensemble learning algorithm was built by adopting the samples of the spectral indices and texture features above and the weak learner of the decision. Finally, the residual mid-high clouds are removed through the threshold at BT11.030 μm. Verification indicated that the probability of detection (POD), false alarm rate (FAR), and critical success index (CSI) values were 84.44%, 9.45%, and 77.52%, respectively. This research supports the accurate detection of sea fog and low clouds in the Arctic, thereby ensuring safe navigation of Arctic shipping routes.
{"title":"AdaBoost-based satellite detection of summer daytime sea fog and low clouds in ice floe fields of the Arctic","authors":"Huiyun Ma , Jiedong Liu , Zengwei Liu , Huihui Feng , Guannan Li , Runxi Gu","doi":"10.1016/j.atmosres.2026.108775","DOIUrl":"10.1016/j.atmosres.2026.108775","url":null,"abstract":"<div><div>Under the trend of global warming, the Arctic region has experienced increasing warming and accelerating melting of sea ice, resulting in the opening of Arctic shipping routes with significant navigational potential. However, intense water vapor releases and a cold underlying surface can lead to frequent occurrences of sea fog and low clouds over the Arctic ice surfaces. Conducting detection of sea fog and low clouds is therefore highly important for ensuring the safety of Arctic shipping routes. In this study, a satellite detection algorithm for summer daytime sea fog and low clouds in ice floe fields of the Arctic has been proposed using the time series remote sensing data from the Moderate-Resolution Imaging Spectroradiometer (MODIS) and the AdaBoost method. Methodologically, three spectral indices, the normalized difference sea-water index (NDSWI), the sea-ice recognition index (SIRI), and the mid-high-cloud recognition index (MHCRI), are first constructed by analyzing the variations in reflection spectra for sea fog and low clouds, sea ice, sea water, and mid-high clouds. Additionally, three texture features, namely, the homogeneity, contrast, and entropy, of the brightness temperature at 11.030 μm (BT<sub>11.030 μm</sub>) are calculated using the gray-level co-occurrence matrix (GLCM). Subsequently, a strong learner classification model of the AdaBoost ensemble learning algorithm was built by adopting the samples of the spectral indices and texture features above and the weak learner of the decision. Finally, the residual mid-high clouds are removed through the threshold at BT<sub>11.030 μm</sub>. Verification indicated that the probability of detection (POD), false alarm rate (FAR), and critical success index (CSI) values were 84.44%, 9.45%, and 77.52%, respectively. This research supports the accurate detection of sea fog and low clouds in the Arctic, thereby ensuring safe navigation of Arctic shipping routes.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"335 ","pages":"Article 108775"},"PeriodicalIF":4.4,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961775","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}
This study examines the extreme precipitation event that caused unprecedented flooding in Rio Grande do Sul (RS), Brazil, during April–May 2024, leading to record-breaking floods in Porto Alegre. Using data from the European Centre for Medium-Range Weather Forecasts ERA5, the high-resolution Multi-Source Weighted-Ensemble Precipitation dataset, a Lagrangian moisture tracking approach, and an analogue-based analysis, we identified the atmospheric drivers and moisture sources fueling this event. Results show that a persistent, quasi-stationary dipole configuration, consisting of a high over the South Atlantic and a deep low over southern South America, drove this extreme event. This configuration, reinforced by heat wave conditions over central and southeastern Brazil, favoured a sustained, atmospheric river-like moisture transport from the Amazon region, channelled by a strengthened South American Low-Level Jet east of the Andes, configuring a compound event. We also found that the highest moisture contribution occurred predominantly 1–3 days before the precipitation over RS. The analogue-based analysis revealed that while the mean sea level pressure (MSLP) pattern was uncommon but not unique within the 1991–2020 reference period, the RS extreme event exhibited significantly enhanced moisture transport and uptake from the Amazon region compared to similar past occurrences. Additionally, we found lower predictability and persistence of the MSLP pattern during this event than that of its analogues. Overall, this research underscores the critical role of specific large-scale atmospheric patterns and sustained anomalous moisture supply in driving extreme precipitation, reinforcing the need for an improved understanding of climate-weather interactions and the development of mitigation strategies to address intensifying extreme precipitation events in a changing climate.
本研究考察了2024年4月至5月在巴西南里约热内卢Grande do (RS)造成前所未有洪水的极端降水事件,该事件导致阿雷格里港(Porto Alegre)发生破纪录的洪水。利用来自欧洲中期天气预报中心ERA5的数据、高分辨率多源加权集合降水数据集、拉格朗日水分跟踪方法和基于模拟的分析,我们确定了这一事件的大气驱动因素和水分来源。结果表明,由南大西洋上空的高压和南美洲南部上空的深低压组成的持续的准平稳偶极子结构驱动了这次极端事件。巴西中部和东南部的热浪条件加强了这种结构,有利于亚马孙地区持续的、大气中河流般的水汽输送,由安第斯山脉以东加强的南美低空急流引导,形成一个复合事件。基于模拟的分析表明,虽然1991-2020年的平均海平面压力(MSLP)模式不常见,但并非唯一,但与过去类似事件相比,RS极端事件显著增强了亚马逊地区的水分输送和吸收。此外,我们发现MSLP模式在这次事件中的可预测性和持久性较低。总的来说,这项研究强调了特定的大尺度大气模式和持续的异常湿度供应在驱动极端降水中的关键作用,加强了对气候-天气相互作用的理解和制定缓解战略的必要性,以应对气候变化中日益加剧的极端降水事件。
{"title":"Unravelling the drivers of the April–May 2024 extreme precipitation event in Rio Grande do Sul","authors":"Albenis Pérez-Alarcón , Rogert Sorí , Milica Stojanovic , Renata Libonati , Ricardo M. Trigo , Raquel Nieto , Luis Gimeno","doi":"10.1016/j.atmosres.2026.108773","DOIUrl":"10.1016/j.atmosres.2026.108773","url":null,"abstract":"<div><div>This study examines the extreme precipitation event that caused unprecedented flooding in Rio Grande do Sul (RS), Brazil, during April–May 2024, leading to record-breaking floods in Porto Alegre. Using data from the European Centre for Medium-Range Weather Forecasts ERA5, the high-resolution Multi-Source Weighted-Ensemble Precipitation dataset, a Lagrangian moisture tracking approach, and an analogue-based analysis, we identified the atmospheric drivers and moisture sources fueling this event. Results show that a persistent, quasi-stationary dipole configuration, consisting of a high over the South Atlantic and a deep low over southern South America, drove this extreme event. This configuration, reinforced by heat wave conditions over central and southeastern Brazil, favoured a sustained, atmospheric river-like moisture transport from the Amazon region, channelled by a strengthened South American Low-Level Jet east of the Andes, configuring a compound event. We also found that the highest moisture contribution occurred predominantly 1–3 days before the precipitation over RS. The analogue-based analysis revealed that while the mean sea level pressure (MSLP) pattern was uncommon but not unique within the 1991–2020 reference period, the RS extreme event exhibited significantly enhanced moisture transport and uptake from the Amazon region compared to similar past occurrences. Additionally, we found lower predictability and persistence of the MSLP pattern during this event than that of its analogues. Overall, this research underscores the critical role of specific large-scale atmospheric patterns and sustained anomalous moisture supply in driving extreme precipitation, reinforcing the need for an improved understanding of climate-weather interactions and the development of mitigation strategies to address intensifying extreme precipitation events in a changing climate.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108773"},"PeriodicalIF":4.4,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961774","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}
Pub Date : 2026-01-12DOI: 10.1016/j.atmosres.2026.108769
Yuxin Zheng , Cuixian Lu , Jiafeng Li , Jan Dousa , Xiaohong Zhang
Global Navigation Satellite System (GNSS) has emerged as a well-established atmospheric observing system, with Zenith Total Delay (ZTD) and integrated water vapor routinely assimilated by several global and regional Numerical Weather Prediction (NWP) centers. While co-derived tropospheric gradients effectively capture water vapor horizontal anisotropy, their assimilation has yet to be widely adopted. Here, we introduce a novel approach for assimilating GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model by constructing pseudo-ZTD observations from GNSS-derived ZTD and gradient data. Through two comparative experiments, we evaluate the potential influence of GNSS tropospheric gradients on WRF forecasts. The results indicate that assimilating these gradients improves humidity and wind field predictions in the lower-to-middle troposphere (850–500 hPa), with a neutral impact on surface fields. Verification against radar estimates further demonstrates enhanced precipitation forecast skills, particularly for heavy precipitation events, by better resolving the spatial distribution and intensity of precipitation systems. A diagnosis of a precipitation event suggests that the assimilation of GNSS tropospheric gradients is able to adjust the forecast mid-level moisture distribution and modulate the forecast upward motion, thereby influencing the formation of spurious precipitation.
{"title":"A novel approach for assimilating GNSS tropospheric gradient information to improve numerical weather prediction","authors":"Yuxin Zheng , Cuixian Lu , Jiafeng Li , Jan Dousa , Xiaohong Zhang","doi":"10.1016/j.atmosres.2026.108769","DOIUrl":"10.1016/j.atmosres.2026.108769","url":null,"abstract":"<div><div>Global Navigation Satellite System (GNSS) has emerged as a well-established atmospheric observing system, with Zenith Total Delay (ZTD) and integrated water vapor routinely assimilated by several global and regional Numerical Weather Prediction (NWP) centers. While co-derived tropospheric gradients effectively capture water vapor horizontal anisotropy, their assimilation has yet to be widely adopted. Here, we introduce a novel approach for assimilating GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model by constructing pseudo-ZTD observations from GNSS-derived ZTD and gradient data. Through two comparative experiments, we evaluate the potential influence of GNSS tropospheric gradients on WRF forecasts. The results indicate that assimilating these gradients improves humidity and wind field predictions in the lower-to-middle troposphere (850–500 hPa), with a neutral impact on surface fields. Verification against radar estimates further demonstrates enhanced precipitation forecast skills, particularly for heavy precipitation events, by better resolving the spatial distribution and intensity of precipitation systems. A diagnosis of a precipitation event suggests that the assimilation of GNSS tropospheric gradients is able to adjust the forecast mid-level moisture distribution and modulate the forecast upward motion, thereby influencing the formation of spurious precipitation.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108769"},"PeriodicalIF":4.4,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962703","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}
Pub Date : 2026-01-12DOI: 10.1016/j.atmosres.2026.108770
Shaowei Ning , Le Chen , Rujian Long , Yuliang Zhou , Yi Cui , Min Zhang , Lichang Xu , Juliang Jin , Thapa bthapa
Under global climate change, precipitation variability and extreme events pose significant challenges to regional ecological security and water resource management. This study proposes the Dynamic Line Scanning Method (DLSM) to quantitatively assess the migration of China's 800 mm precipitation isohyet during 1961–2022. Using long-term precipitation data, we systematically examined its spatial and temporal variation, explored links with drought–flood regimes and extreme precipitation, and identified the main drivers. Results indicate that the isohyet experienced a two-phase shift: an initial southward retreat followed by accelerated northward movement after 2001, with the latter trend markedly intensifying. These shifts have directly influenced regional drought–flood patterns and altered the frequency and intensity of extreme precipitation events. Analysis further reveals that the East Asian Summer Monsoon Index (EASMI) is the dominant factor driving the isohyet's movement. Overall, this study provides novel methodological insights and robust empirical evidence regarding the dynamics of precipitation isohyets in China in the context of climate change. The findings enhance understanding of hydroclimatic variability and offer a scientific foundation for developing region-specific adaptation and water management strategies.
{"title":"Spatiotemporal Variability of China's 800 mm Precipitation Isohyet (1961–2022): Multi-scale Analysis of its Migration and Impact on Hydroclimatic Extremes","authors":"Shaowei Ning , Le Chen , Rujian Long , Yuliang Zhou , Yi Cui , Min Zhang , Lichang Xu , Juliang Jin , Thapa bthapa","doi":"10.1016/j.atmosres.2026.108770","DOIUrl":"10.1016/j.atmosres.2026.108770","url":null,"abstract":"<div><div>Under global climate change, precipitation variability and extreme events pose significant challenges to regional ecological security and water resource management. This study proposes the Dynamic Line Scanning Method (DLSM) to quantitatively assess the migration of China's 800 mm precipitation isohyet during 1961–2022. Using long-term precipitation data, we systematically examined its spatial and temporal variation, explored links with drought–flood regimes and extreme precipitation, and identified the main drivers. Results indicate that the isohyet experienced a two-phase shift: an initial southward retreat followed by accelerated northward movement after 2001, with the latter trend markedly intensifying. These shifts have directly influenced regional drought–flood patterns and altered the frequency and intensity of extreme precipitation events. Analysis further reveals that the East Asian Summer Monsoon Index (EASMI) is the dominant factor driving the isohyet's movement. Overall, this study provides novel methodological insights and robust empirical evidence regarding the dynamics of precipitation isohyets in China in the context of climate change. The findings enhance understanding of hydroclimatic variability and offer a scientific foundation for developing region-specific adaptation and water management strategies.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"334 ","pages":"Article 108770"},"PeriodicalIF":4.4,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962701","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}