TY - JOUR AU - Kigotsi, Jean Kasereka AU - Soula, Serge AU - Athier, Gilles AU - Lisika, Louis Kongoda AU - Lee, Keun-Ok TI - Analysis of the lightning activity during 18 years in the Congo Basin JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 309 PY - 2024 PG - 15 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107577 UR - https://m2.mtmt.hu/api/publication/35332490 ID - 35332490 LA - English DB - MTMT ER - TY - JOUR AU - Chen, Qi-Xiang AU - Huang, Chun Lin AU - Dong, Shi-Kui AU - Lin, Kai-Feng TI - Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 308 PY - 2024 PG - 17 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107523 UR - https://m2.mtmt.hu/api/publication/35328082 ID - 35328082 LA - English DB - MTMT ER - TY - JOUR AU - Li, Xiang AU - Ding, Ting AU - Gao, Hui TI - Record-breaking warm spell in December 2023 and the synergistic influences from the Siberian high and the polar front jet JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 306 PY - 2024 PG - 9 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107479 UR - https://m2.mtmt.hu/api/publication/35326228 ID - 35326228 LA - English DB - MTMT ER - TY - JOUR AU - Cao, Yunfeng AU - Yin, Mengxi AU - Tian, Jiaxin AU - Liang, Shunlin TI - Increased summertime wildfire as a major driver of the clear-sky dimming in the Siberian Arctic from 2000 to 2020 JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 306 PY - 2024 PG - 10 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107458 UR - https://m2.mtmt.hu/api/publication/35283004 ID - 35283004 LA - English DB - MTMT ER - TY - JOUR AU - Scaramboni, Caroline AU - Farias, Camila Novais AU - Vasconcellos, Perola de Castro AU - Levi, Michael AU - Sadiktsis, Ioannis AU - Pozza, Simone Andrea AU - Umbuzeiro, Gisela de Aragao AU - Watanabe, Tetsushi AU - Rodrigues, Poliany Cristiny de Oliveira AU - Grandis, Adriana AU - Buckeridge, Marcos Silveira AU - Campos, Maria Lucia Arruda Moura AU - Kippler, Maria AU - Dreij, Kristian AU - Galva, Marcos Felipe de Oliveira TI - Characterization of cross-continental PM2.5: Insights into emissions and chemical composition JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 305 PY - 2024 PG - 14 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107423 UR - https://m2.mtmt.hu/api/publication/35271546 ID - 35271546 LA - English DB - MTMT ER - TY - JOUR AU - Chen, Lijing AU - Ding, Minghu AU - She, Yong AU - Zhang, Lei AU - Zeng, Zhaoliang AU - Jia, Jiajia AU - Zheng, Yu AU - Tian, Biao AU - Zhu, Kongju AU - Wang, Xin AU - Yao, Zhendong AU - Che, Huizheng TI - Regional Aerosol Optical Depth over Antarctica JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 308 PY - 2024 PG - 14 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107534 UR - https://m2.mtmt.hu/api/publication/35270264 ID - 35270264 LA - English DB - MTMT ER - TY - JOUR AU - Coll-Hidalgo, Patricia AU - Nieto, Raquel AU - Pérez-Alarcón, Albenis AU - Trigo, Ricardo M. AU - Fernández-Alvarez, Jose Carlos AU - Gimeno, Luis TI - Assessing target areas for precipitating moisture source analysis of extratropical cyclones: An analysis based on case studies JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 310 PY - 2024 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107628 UR - https://m2.mtmt.hu/api/publication/35208714 ID - 35208714 N1 - Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n, Ourense, 32004, Spain Departamento de Meteorología, Instituto Superior de Tecnologías y Ciencias Aplicadas, Universidad de La Habana, La Habana, 10400, Cuba Instituto Dom Luiz (IDL), Facultade de Ciências, Universidade de Lisboa, Lisbon, Portugal Departamento de Meteorologia, Usniversidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil Galicia Supercomputing Center (CESGA), Santiago de Compostela, Spain Export Date: 5 September 2024 Correspondence Address: Coll-Hidalgo, P.; Centro de Investigación Mariña, Campus As Lagoas s/n, Spain; email: patricia.coll@uvigo.es LA - English DB - MTMT ER - TY - JOUR AU - Nyongesa, Aston Matwayi AU - Shi, Donglei AU - Li, Shuanglin AU - Li, Qihua TI - Influence of convective parameterization on the simulation of tropical cyclones over the South West Indian Ocean: A case study of tropical cyclone Idai (2019) JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 306 PY - 2024 PG - 12 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107461 UR - https://m2.mtmt.hu/api/publication/35202228 ID - 35202228 N1 - Funding Agency and Grant Number: National Key Research and Development Program of China [2023YFF0807000]; National Natural Science Foundation of China [42305004, 42005007]; China Postdoctoral Science Foundation [2023M743283]; CAS-TWAS President Fellowship Funding text: This study is primarily supported by the National Key Research and Development Program of China (Grant 2023YFF0807000), and jointly supported by the National Natural Science Foundation of China (Grants 42305004, 42005007). D. Shi is also supported partly by the China Postdoctoral Science Foundation (Grant 2023M743283). The WRF simulation data were generated on SPARKLE, the HPC cluster in the China University of Geosciences, part of the NSFC Research Fund Program. The first author acknowledges the support of the CAS-TWAS President Fellowship and the CAS-TWAS Center of Excellence for Climate and Environment Sciences for the infrastructure to conduct the study. We also thank the anonymous reviewers for their helpful comments and suggestions. AB - Proper configuration of the physical parameterization scheme is important for accurate outcomes of mesoscale weather forecasting model. This study evaluates the performance of four distinct cumulus parameterization schemes: the Kain-Fritsch (KF), Grell 3D ensemble (GR3D), Modified Tiedtke (MTIEDKE) and Modified KainFritsch (MKF) schemes, in simulating Tropical Cyclone (TC) Idai (2019) in the Southern Indian Ocean. Utilizing the Weather Research Forecasting (WRF) model and TC best-track and satellite precipitation datasets, the research assesses the models' efficacy in replicating Idai's observed track and intensity. Results indicate that the KF, MTIEDKE, and MKF schemes reasonably capture Idai's southwestward track, with MKF demonstrating superior accuracy in reproducing observed intensity evolution. Conversely, the GR3D simulation exhibits a northwestward deviation, leading to notable track and intensity errors. Further investigations suggest that the smaller track and intensity differences in the MKF simulation are linked to the more accurate simulation of rainfall in both the surrounding environment and the TC inner-core region. The two factors exert strong influences on the large-scale steering flow and TC secondary circulation, respectively. The findings underscore the importance of selecting appropriate convective parameterization schemes for precise tropical cyclone simulations in the Southern Indian Ocean. This research contributes valuable insights into the intricate interaction between convective processes and atmospheric dynamics, offering implications for enhancing tropical cyclone prediction models in the region. LA - English DB - MTMT ER - TY - JOUR AU - Varga, Ákos János AU - Breuer, Hajnalka TI - Sensitivity analysis of snow depth and surface air temperature to various WRF/Noah-MP model configurations in Central Europe JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES PY - 2024 SP - 107659 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107659 UR - https://m2.mtmt.hu/api/publication/35195746 ID - 35195746 AB - This study addresses snow depth overestimation and temperature underestimation in the WRF/Noah-MP regional climate model by producing eight sensitivity simulations at a 10 km grid spacing for the 2001–2006 period, driven by the ERA5 reanalysis. The experiments differ either in the parameterization of snow-related processes within the Noah-MP land surface model, the physical parameterization schemes of the atmospheric model (planetary boundary layer, surface layer, microphysics), or the WRF model version (v4.2 or v4.3, with the latter incorporating snow-related code enhancements). The best-performing configuration is further tested by conducting a hindcast simulation spanning an extended climatological period (1985–2010). The study area includes parts of Western, Central, and Eastern Europe, focusing on the Carpathian Basin. Snow depth is evaluated using in situ observations from low-elevation stations and ERA5 reanalysis data. Temperature and precipitation biases are assessed using the CARPATCLIM dataset, consisting of gridded surface meteorological observations. With the appropriate choice of physical parameterizations in the WRF/Noah-MP model, the median snow depth bias is reduced from 3.4 cm/day to 0.7 cm/day across all stations during the 2001–2006 period (November to March), with a corresponding decrease in RMSE from 8.4 to 3.9 cm/day and an increase in the correlation coefficient from 0.68 to 0.82. Concurrently, the underestimation of average daily minimum temperatures decreases from 2.5 °C to 1.6 °C over a plain subregion within the Carpathian Basin. Further efforts are required to eliminate the cold bias above snow cover in the WRF/Noah-MP model. The results suggest that exploring sensitivities to physical processes within the land surface scheme is equally important as testing different physical parameterizations in the atmospheric model itself. LA - English DB - MTMT ER - TY - JOUR AU - Ismail, Muhammad AU - Li, Yi AU - Niu, Ben AU - Ghaffar, Mubashir Ali AU - Saleem, Muhammad Amjad AU - Siddique, Kadambot H.M. TI - A multi-sensor drought index for improved agricultural drought monitoring and risk assessment in the heterogeneous landscapes of the China–Pakistan Economic Corridor (CPEC) JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 310 PY - 2024 SP - 1 EP - 14 PG - 14 SN - 0169-8095 DO - 10.1016/j.atmosres.2024.107633 UR - https://m2.mtmt.hu/api/publication/35179674 ID - 35179674 LA - English DB - MTMT ER -