Atmospheric Research最新文献

{"title":"Future projections of extreme precipitation over Indonesia's new capital under climate change scenario using CORDEX-SEA regional climate models","authors":"Marzuki Marzuki ,&nbsp;Ravidho Ramadhan ,&nbsp;Helmi Yusnaini ,&nbsp;Liew Juneng ,&nbsp;Fredolin Tangang ,&nbsp;Mutya Vonnisa ,&nbsp;Afdal Afdal ,&nbsp;Muhammad Rais Abdillah ,&nbsp;Rahmat Hidayat","doi":"10.1016/j.atmosres.2025.108389","DOIUrl":"10.1016/j.atmosres.2025.108389","url":null,"abstract":"<div><div>As Indonesia's new capital (hereafter called Nusantara City or NC) aspires to become a leading sustainable city, it must be developed with resilience to climate change. This study investigates the future seasonal extreme precipitation conditions in NC using a set of climate projections from the CORDEX-SEA Regional Climate Models (RCMs). The analysis integrates four Global Climate Models (GCMs) downscaled using two RCMs: RegCM4 and RCA4. The model results were analyzed for the periods 1970–2005 (historical), 2011–2040 (early century), 2041–2070 (mid-century), and 2071–2099 (late century) under both the low-emission (RCP 2.6) and high-emission (RCP 8.5) scenarios. Model evaluation using Integrated Multi-satellitE Retrievals for GPM (IMERG) Version 07B data shows that RegCM4-based downscaling more accurately captures mean rainfall, seasonal patterns, and extreme precipitation indices in NC than RCA4. The ensemble average of three RegCM4 runs (HadGEM2-ES, MPI-ESM-MR, and NorESM1) indicates significant increases in extreme precipitation indices under RCP 8.5 from the mid to late century. By the late century, indices such as Maximum 5-Day Precipitation (RX5days), Consecutive Dry Days (CDD), and Number of Very Heavy Precipitation Days (R50mm) are projected to increase by 5.88 %, 41.12 %, and 29.30 %, respectively, while Total Precipitation (PRPTOT), Consecutive Wet Days (CWD), and Number of Heavy Precipitation Days (R20mm) decrease by −15.69 %, −21.93 %, and − 13.78 %. Rainfall during the dry season (June–September) is projected to decline by approximately 17 % under RCP 2.6 and 25 % under RCP 8.5. Historically, El Niño has triggered droughts during the dry season in Kalimantan, and under future warming, severe droughts resembling those driven by El Niño may occur even in its absence. Furthermore, the divergent projections resulting from the various models employed here suggest the critical role of model selection in hydrological impact analysis, as different models can produce strongly divergent estimates of future extreme rainfall.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108389"},"PeriodicalIF":4.5,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712959","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":"Key factors affecting atmospheric visibility during the 19th Asian Games in Hangzhou","authors":"Yang Wu ,&nbsp;Jing Wei ,&nbsp;Jiasi Shen ,&nbsp;Xiaoyuan Wang ,&nbsp;Zheng Xia ,&nbsp;Wenlong Zhao ,&nbsp;Da Xu ,&nbsp;Qian Tang ,&nbsp;Jinmei Ding ,&nbsp;Xudong Tian ,&nbsp;Yuwen Niu ,&nbsp;Zhibin Wang ,&nbsp;Bingye Xu","doi":"10.1016/j.atmosres.2025.108378","DOIUrl":"10.1016/j.atmosres.2025.108378","url":null,"abstract":"<div><div>Identifying the key factors that influence atmospheric visibility is critical for effective air pollution prevention and control. However, the complex nonlinear relationships between visibility and its influencing factors pose significant challenges. Most current studies rely on empirical models for statistical analysis, which can introduce significant inaccuracies.</div><div>This study integrates the traditional IMPROVE analysis method with machine learning models to investigate the driving factors of atmospheric visibility and the causes of low visibility events during the 19th Asian Games in Hangzhou. The results indicate that SO₄²⁻, NO₃⁻, organic aerosols (OA), and black carbon (BC) are the primary light extinction contributors among PM_2.5 chemical components. Secondary formation processes were the dominant factor that accounted for 57 % of extinction coefficient, relative humidity and vehicles together contributed 30 % of extinction coefficient. During periods of low visibility (&lt;10 km), the contributions of secondary nitrates and relative humidity content to extinction coefficient increased significantly, suggesting that hygroscopic growth of secondary nitrates was the primary driver of such events.</div><div>The results of the study show that machine learning models closely match the IMPROVE approach during periods of low visibility. In addition, machine learning models outperform the IMPROVE method in their ability to capture the complex non-linear relationships between forcing factors and visibility. To effectively manage secondary nitrate pollution, it is critical to reduce emissions of nitrogen oxides (NOx) and ammonia (NH₃) while improving overall air quality. This comprehensive analytical approach provides scientific evidence for improving urban atmospheric visibility.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108378"},"PeriodicalIF":4.5,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712960","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":"Polarimetric insights into pre-monsoon convective clouds and hail storm microphysics over central India using polarimetric radar observation","authors":"Kumar Abhijeet ,&nbsp;Sachin M. Deshpande ,&nbsp;G. Pandithurai","doi":"10.1016/j.atmosres.2025.108381","DOIUrl":"10.1016/j.atmosres.2025.108381","url":null,"abstract":"<div><div>The present study characterizes the pre-monsoon convective clouds (PMCC) observed in the monsoon core zone and a hail-producing storm during the pre-monsoon month observed using C-band dual-polarization (CDPR) radar at the IITM's Atmospheric Research Testbed (ART) facility in Silkheda, 60 km north of Bhopal. The composite analysis of PMCC has shown that the maximum height of 35- and 50-dBZ echo tops (ETHs) is around 13 km and 11 km, respectively, indicating intense and deep convection. The mean value of Convective Available Potential Energy (CAPE) is also high for the pre-monsoon season. The composite contoured-frequency-by-altitude diagrams (CFADs) of PMCC show a high frequency of smaller values of differential reflectivity (<em>Z</em>_DR ∼ 0 dB) and specific differential phase (<em>K</em>_DP) above the melting layer, indicating that intense convective updrafts dominate the PMCC, causing hail/graupel particles to be rimmed heavily above the melting layer and reach greater heights. The wider distribution or higher values of <em>Z</em>_H, <em>Z</em>_DR, <em>K</em>_DP, and small values of correlation coefficient <em>ρ</em>_HV (&lt;0.95) near the surface indicate the presence of a rain-hail mixture during the pre-monsoon month.</div><div>The microphysical characteristic of a hailstorm event that produced hailstones over Bhopal on 30th April 2023 is explored. It is found that the CAPE value was building up before the hailstorm event, and it was high just before the hailstone was observed over Bhopal. Time evolution of storms indicates the dominant presence of graupel/hail at 5-11 km. Graupel/hail will form due to the riming or accretion processes of cloud droplets, supercooled water, or ice particles. It has been observed that the riming process is dominant during the storm's evolution, which produces very low values of <em>Z</em>_DR and <em>K</em>_DP. The high value of <em>ρ</em>_HV (&gt;0.99) at these altitudes suggests that the graupel/hail is dry. The updraft associated with a convectively unstable atmosphere exaggerates the growth of ice crystals by a rapid collection of supercooled water droplets. That ultimately led to forming graupel/hailstones through the riming process. The wet hailstones and large raindrops signatures close to the surface are also observed and are characterized by higher values of <em>Z</em>_H (&gt; 50 dBZ), enhanced <em>Z</em>_DR (∼ 3–4 dB), and a depleted <em>ρ</em>_HV (&lt; 0.95). Additionally, a <em>K</em>_DP exceeding 1.8°/km near the surface indicates the process of hail melting/hail coated with water.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108381"},"PeriodicalIF":4.5,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702889","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":"Urbanization intensified predecessor rainfall redistribution associated with Typhoon Khanun (2017) in the lower Yangtze River region","authors":"Jiaxi Wu ,&nbsp;Huiyan Xu ,&nbsp;Yu Song ,&nbsp;Yebing Liu ,&nbsp;Xiayi Lang","doi":"10.1016/j.atmosres.2025.108384","DOIUrl":"10.1016/j.atmosres.2025.108384","url":null,"abstract":"<div><div>The Yangtze River Delta region (YRD) is one of the most important regions with rapid urbanization in China. The research employs the Weather Research and Forecasting Model (WRF) to investigate the influences of urbanization on precipitation patterns and intensities of predecessor rain events (PREs) induced by Typhoon Khanun (2017) in the YRD. The results indicate that using land use data during the precipitation event can improve the model simulation performance. Although the total regional precipitation remains relatively unchanged, urbanization significantly alters the spatiotemporal distribution of rainfall, resulting in enhanced precipitation in the coastal urban regions near the heavy precipitation center regions, with a maximum increase up to 52 %. In contrast, rainfall near the inland outer region of the heavy precipitation center is reduced, with a maximum decrease up to 50 %, exhibiting a prominently uneven distribution pattern, which requires adaptive zoning in flood management. Mechanistically, around the coastal urban regions near heavy precipitation centers, urbanization enhances water vapor convergence and atmospheric instability, necessitating revised stormwater infrastructure design standards for these high-risk zones; while it suppresses water vapor transport, enhancing atmospheric stability in the inland outer region. Further analysis of the cloud microphysics reveals that urbanization significantly strengthens the processes of raindrop accretion of cloud water and water vapor condensing into raindrops, thereby promoting increased rainfall in the coastal urban region; in contrast, it may weaken the processes of snow melting and water vapor condensing into raindrops, leading to reduced precipitation in the peripheral inland outer region. These findings offer scientific support for climate-resilient urban planning, demonstrating how urbanization shifts precipitation patterns, necessitating coordinated regional adaptation for flood resilience.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108384"},"PeriodicalIF":4.5,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711452","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":"Extremes of diurnal temperature range in karst regions: Definition, trends and interaction with wind speed","authors":"Ruizhi Sun,&nbsp;Xushu Wu","doi":"10.1016/j.atmosres.2025.108379","DOIUrl":"10.1016/j.atmosres.2025.108379","url":null,"abstract":"<div><div>Diurnal temperature range (DTR) is an important climate indicator that exerts substantial effects on society as well as the environment, particularly on karst landforms where the ecosystem is vulnerable and sensitive to DTR. However, the space-time pattern of extremes of DTR and their relationship with wind speed over global karst regions remain poorly understood. In this study, we defined DTR extremes and investigated the spatiotemporal patterns of warm-season extremes and their relationships with wind speeds across global karst regions during 1980–2022. Our results reveal that arid zones such as the Middle East and northwestern China exhibit large long-term mean DTR and DTR extremes. There is an increase in the frequency of DTR extremes for most regions, though pronounced regional divergence of DTR trends exists. The intensity of DTR extremes show apparent increasing trends in North America and Europe, but in other regions decreased trends are prevailing. For most regions worldwide, declining wind speed trends are discerned, though slight increases are observed in the western United States. Moreover, wind speed is generally strengthened along with larger DTR. Daytime DTR extremes dominate North America, Europe and south China, while nighttime extremes are likely to occur in the Middle East and Asia. These findings advance the understanding of DTR extremes in fragile karst ecosystems, which could help for region-specific climate adaptation strategies.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108379"},"PeriodicalIF":4.5,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695055","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":"Convective cold pools and attendant turbulence at the Amazon Tall Tower Observatory (ATTO)","authors":"Maurício I. Oliveira ,&nbsp;Luca Mortarini ,&nbsp;Otávio C. Acevedo ,&nbsp;Iván Mauricio Cely-Toro ,&nbsp;Martina Grosso ,&nbsp;Luciane I. Reis ,&nbsp;Cléo Q. Dias-Júnior ,&nbsp;Carlos A. Quesada ,&nbsp;Bruno Z. Ribeiro ,&nbsp;Daiane V. Brondani","doi":"10.1016/j.atmosres.2025.108351","DOIUrl":"10.1016/j.atmosres.2025.108351","url":null,"abstract":"<div><div>Deep moist convection significantly disturbs the evolution of the planetary boundary layer (PBL) through its convective cold pools (CCPs). This study investigates the statistics of CCPs and their impact on PBL turbulence as observed at the Amazon Tall Tower Observatory (ATTO) site. To obtain a large dataset of CCPs, we adapted an existing CCP-detection algorithm for use in multilevel, micrometeorological data. Application of the algorithm to ATTO observations collected from August 2021 through December 2023 resulted in a dataset consisting of 410 CCPs. CCPs occur nearly every other day at the ATTO site, although they are most common from April through September and are least common from December through March. The occurrence of CCPs is linked to the diurnal cycle of the PBL, with more events around 1800 UTC and the less events around 1100 UTC. The strength of CCP perturbations varies strongly as a function of the distance from the canopy. Above the canopy (approximately 37 m), CCPs exhibit well-defined gust fronts, marked by sharp drops in temperature and humidity, gusting winds, overturning circulations, and pressure rises. During gust front passages, sensible (latent) heat fluxes are briefly enhanced and subsequently invert sign (weaken) in the CCPs, as previously unstable (moister) PBLs become stable (drier). Turbulence is stronger and more anisotropic during gust fronts and just above the canopy due to mechanical drag. Anisotropic turbulence may be transported upward to 200 m by the gust fronts. Below the canopy, CCPs and attendant perturbations are drastically damped, except in high-end cases.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108351"},"PeriodicalIF":4.5,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702888","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":"A preliminary study of FY-4B AGRI all-sky assimilation by WRFDA for tropical cyclones","authors":"Chun Yang ,&nbsp;Tingting Zhong ,&nbsp;Jinzhong Min","doi":"10.1016/j.atmosres.2025.108377","DOIUrl":"10.1016/j.atmosres.2025.108377","url":null,"abstract":"<div><div>A new assimilation module for AGRI (Advanced Geostationary Radiation Imager) carried on Fengyun-4B (FY-4B) is developed within the WRFDA (Weather Research and Forecasting model's Data Assimilation) system. The impacts of assimilating FY-4B AGRI clear-sky and all-sky data are evaluated with cycling assimilation experiments for the typhoon Doksuri (2023) and Talim (2023) forecast. For typhoon Doksuri, compared with the benchmark experiment, AGRI assimilation brings a better analysis and forecast for atmospheric variables (wind, temperature and humidity). Meanwhile, clear error reductions for typhoon track and intensity forecasts are achieved with clear-sky and all-sky AGRI assimilation. The positive impact on landing precipitation prediction is also obtained by verifying with GPM (Global Precipitation Measurement) precipitation data. Moreover, AGRI all-sky assimilation yields better typhoon forecasts than clear-sky assimilation. In addition, the channel selection sensitivity for AGRI assimilation is also assessed with group experiments. It is suggested that with the assimilation of a new water vapor channel at 7.42 <span><math><mi>μm</mi></math></span>, which is newly added in FY-4B, multiple-channel assimilation shows greater benefit for forecast than single-channel assimilation. The same positive impact of AGRI assimilation is also present in typhoon Talim (2023) forecast. Overall, the all-sky assimilation of FY-4B AGRI water vapor channels data is beneficial for the typhoon forecast.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108377"},"PeriodicalIF":4.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664683","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":"Raindrop size distribution of monsoon and tropical cyclone events over South China","authors":"Ruize Lai,&nbsp;Sheng Hu,&nbsp;Xiantong Liu,&nbsp;Hui Xiao,&nbsp;Huiqi Li","doi":"10.1016/j.atmosres.2025.108376","DOIUrl":"10.1016/j.atmosres.2025.108376","url":null,"abstract":"<div><div>The rainy season in South China is predominantly influenced by monsoon and tropical cyclone (TC) weather systems. However, due to the lack of long-term observational data, the microphysical characteristics of raindrop size distributions (DSDs) associated with these systems remain insufficiently understood. This study utilizes five years (2016–2020) of 2DVD observations to analyze the differences in DSD characteristics of monsoon and TC rainfall. The results indicate that monsoon rainfall exhibits higher concentrations of medium to large raindrops (diameter <span><math><mo>&gt;</mo></math></span> 2.1 mm), along with larger mean rainfall rates (<em>R</em>) and mass-weighted mean diameters (<em>D</em>_<em>m</em>), but lower normalized intercept parameters (<em>N</em>_<em>w</em>) compared to TC rainfall. Distinct differences in the mean normalized DSDs are observed between monsoon and TC rainfall. Convective rain under both systems shows the characteristics of maritime convective rain. Additionally, the relationships between kinetic energy (KE) and <em>R</em>, KE and <em>D</em>_<em>m</em>, as well as radar reflectivity (<em>Z</em>) and <em>R</em>, differ between monsoon and TC rainfall. TC events have relatively humid atmospheric conditions and higher wind speeds, resulting in the presence of a large number of small raindrops. These findings enhance understanding of the DSD characteristics under different synoptic regimes and provide valuable implications for improving rainfall KE estimation, DSD retrieval, and quantitative precipitation estimation over South China.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108376"},"PeriodicalIF":4.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664715","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":"Long-term validation and error analysis of MODIS and VIIRS dark target aerosol products in Africa","authors":"Xiaoxia Xue ,&nbsp;Leiku Yang ,&nbsp;Ping Zhang ,&nbsp;Muhammad Bilal ,&nbsp;Weiqian Ji ,&nbsp;Xin Pei ,&nbsp;Yizhe Fan ,&nbsp;Xiaofeng Lu ,&nbsp;Xiaoqian Cheng","doi":"10.1016/j.atmosres.2025.108372","DOIUrl":"10.1016/j.atmosres.2025.108372","url":null,"abstract":"<div><div>This study reports the accuracy and uncertainty of aerosol optical depth (AOD) retrievals for the dark target (DT) algorithm over Africa. Three AOD products from the Aqua Moderate Resolution Imaging Spectroradiometer (MODIS), the NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS), and the Suomi-NPP (SNPP) VIIRS were evaluated against ground-based Aerosol Robotic Network (AERONET) observations during the period from 2018 to 2023. The validation results indicate that all three products show good validation accuracy in northern Africa, with a slight underestimation in southern Africa. However, it is worth noting that a severe systematic underestimation was observed for all three products in western Africa. Although the correlation coefficients (R) between these three products and the AERONET observations in western Africa are all greater than 0.9, they exhibit significant negative mean biases (MB) of less than −0.18 and root mean square errors (RMSE) exceeding 0.25. Subsequently, an in-depth analysis of error dependence was conducted to explore the underlying causes of this underestimation in this region. The analysis reveals that the aerosol model assumptions and surface reflectance estimation in the DT algorithm jointly lead to this underestimation. Specifically, the underestimation is more pronounced under conditions of strongly absorbing aerosols and sparse vegetation surfaces with high reflectance. Additionally, it was found that as the scattering angle (SCA) increases, the degree of AOD underestimation also intensifies. These results provide critical insights to guide the ongoing refinement of the DT algorithm in western Africa.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108372"},"PeriodicalIF":4.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664953","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":"Performance validation and bias correction of IMERG precipitation data under foggy meteorological conditions in Southeast Asia","authors":"Dachuan Wang ,&nbsp;Chen Yu ,&nbsp;Lin Yi ,&nbsp;Gang Jiang ,&nbsp;Hechen Zhang","doi":"10.1016/j.atmosres.2025.108375","DOIUrl":"10.1016/j.atmosres.2025.108375","url":null,"abstract":"<div><div>Although the satellite precipitation products (SPPs) have been extensively utilized, their performance under fog-affected conditions has not been evaluated. To address this issue, we evaluated the SPPs and improved bias correction for foggy meteorological conditions in Southeast Asia. Three running versions of the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) were evaluated from 2014 to 2022 at the daily timescale. The assessment of the performance for Early-Run (ER), Late-Run (LR), and Final-Run (FR) was conducted based on statistical and categorical indicators. Then, the impact of foggy meteorological conditions on IMERG was analyzed. Finally, artificial neural networks (ANN) were employed to correct fog-affected estimates of precipitation. The main conclusions are: (1) The best performance is demonstrated by the FR, with a correlation coefficient (CC) of 0.443 and a probability of detection (POD) of 0.575. All running versions perform significantly better in the Indochinese Peninsula compared to the Southern Asia Archipelago. (2) Fog adversely affects the accuracy of IMERG precipitation estimates. In the FR, the presence of fog results in a decrease of 6.95 % in CC, and this effect intensifies during the rainy season, with fog reducing CC by 15.46 %. (3) Significant improvement is demonstrated by the ANN correction, enhancing CC by 27.46 % relative to the FR, with particular effectiveness for extreme precipitation overestimation. This study analyzed the performance of IMERG from the perspective of foggy meteorological conditions, providing a reference for researches under special weather conditions.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"327 ","pages":"Article 108375"},"PeriodicalIF":4.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664712","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}