Validation and diagnostic study of cloudburst events over the Himalayan region using IMDAA and ERA5 by Nitin Lohan, Ashish Routray, Rohan Kumar, Biranchi Kumar Mahala, Sushil Kumar

“…Indian Monsoon Data Assimilation and Analysis (IMDAA) and fifth-generation European Centre for Medium-Range Weather Forecasts (ERA5), to comprehend the atmospheric dynamics associated with the cloudburst events over the Himalayan region. …”
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A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation by Pengfei Xia, Biyan Chen, Ning Huang, Xin Xie, Qinglan Zhang

“…The developed model provides valuable insights into atmospheric moisture variations and enhances the accuracy of weather forecasting and climate research in the China region.…”
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Correcting Projection Effects in CMEs Using GCS‐Based Large Statistics of Multi‐Viewpoint Observations by Harshita Gandhi, Ritesh Patel, Vaibhav Pant, Satabdwa Majumdar, Sanchita Pal, Dipankar Banerjee, Huw Morgan

“…We show that fitting multi‐viewpoint CME images to a geometrical model such as GCS is important to study the statistical properties of CMEs, and can lead to a deeper insight into CME behavior that is essential for improving future space weather forecasting.…”
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Bridging the gap: rescuing and digitizing historical meteorological records by Kofi Asare, Nana Ama Browne Klutse, Stephen Aboagye-Ntow, Caroline Edinam Doe, Antwi-Boasiako Amoah, Eric Asuman, Martin Addi, Benjamin Adjetey Wemegah

“…These measures are essential for improving the robustness and reliability of meteorological data collection in Ghana, which is critical for accurate weather forecasting, climate monitoring, and informed decision-making across various sectors.…”
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Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction by Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

“…Air temperature (AT) prediction can play a significant role in studies related to climate change, radiation and heat flux estimation, and weather forecasting. This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system (DENFIS), hybrid neural-fuzzy inference system (HyFIS), and adaptive neurofuzzy inference system (ANFIS) for AT prediction. …”
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Using Solar Orbiter as an Upstream Solar Wind Monitor for Real Time Space Weather Predictions by R. Laker, T. S. Horbury, H. O’Brien, E. J. Fauchon‐Jones, V. Angelini, N. Fargette, T. Amerstorfer, M. Bauer, C. Möstl, E. E. Davies, J. A. Davies, R. Harrison, D. Barnes, M. Dumbović

“…The opportunity to use Solar Orbiter as an upstream solar wind monitor will repeat once a year, which should further help assess the efficacy upstream in‐situ measurements in real time space weather forecasting.…”
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Establishment and Evaluation of Atmospheric Water Vapor Inversion Model Without Meteorological Parameters Based on Machine Learning by Ning Liu, Yu Shen, Shuangcheng Zhang, Xuejian Zhu

“…This shows that the PWV inverted by the new model can respond well to extreme rainstorm events, which proves the feasibility and reliability of the new model and provides a reference method for meteorological monitoring and weather forecasting.…”
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Deep Learning Applications in Ionospheric Modeling: Progress, Challenges, and Opportunities by Renzhong Zhang, Haorui Li, Yunxiao Shen, Jiayi Yang, Wang Li, Dongsheng Zhao, Andong Hu

“…In recent years, the application of deep learning technology in ionospheric modeling has achieved breakthrough advancements, significantly impacting navigation, communication, and space weather forecasting. Nevertheless, due to limitations in observational networks and the dynamic complexity of the ionosphere, deep learning-based ionospheric models still face challenges in terms of accuracy, resolution, and interpretability. …”
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Tropical cyclone intensity estimation based on YOLO-NAS using satellite images in real time by Priyanka Nandal, Prerna Mann, Navdeep Bohra, Ghadah Aldehim, Asma Abbas Hassan Elnour, Randa Allafi

“…The meteorological significance of this work lies in its ability to offer a reliable, real-time tool for cyclone intensity prediction, which could be integrated into operational weather forecasting systems. The finding shows that there is potential for practical use of this method.…”
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Synoptic and Mesoscale Atmospheric Patterns That Triggered the Natural Disasters in the Metropolitan Region of Belo Horizonte, Brazil, in January 2020 by Thaís Aparecida Cortez Pinto, Enrique Vieira Mattos, Michelle Simões Reboita, Diego Oliveira de Souza, Paula S. S. Oda, Fabrina Bolzan Martins, Thiago Souza Biscaro, Glauber Willian de Souza Ferreira

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Monitoring of Ionospheric Variability Using the Low lAtitude Long Range Ionospheric raDar (LARID): Capabilities, Advantages and Limitations by Wenjie Sun, Guozhu Li, Baiqi Ning, Lianhuan Hu, Yuichi Otsuka, Guofeng Dai, Haiyong Xie, Xiukuan Zhao, Yi Li, Atsuki Shinbori, Michi Nishioka, Septi Perwitasari, Chi Wang

“…It is demonstrated that the LARID provides an important tool for investigating different types of ionospheric variability over a broad region, especially over the Indian Ocean and west Pacific, and will contribute significantly to the regional ionospheric weather forecasting.…”
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Diagnosis and Numerical Simulation of Low-level Wind Shear over the Hengduan Mountains in Winter by Ren Juzhang, Yang Xue, Tao Yun, Fu Zhijia, Chen Yan, Zhong Yahan, Wang Man, Jin Yan

“…It is also a key problem in refined weather forecasting and early warning under complex terrain. …”
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Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies by Q. Huo, Q. Huo, Z. Yin, Z. Yin, Z. Yin, X. Ma, X. Ma, H. Wang, H. Wang, H. Wang

“…These findings contribute to enhancing the comprehension of dust weather in NC and offer insights for both dust weather forecasting and climate prediction.</p>…”
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Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 by G. Di Virgilio, G. Di Virgilio, F. Ji, F. Ji, E. Tam, J. P. Evans, J. P. Evans, J. Kala, J. Andrys, C. Thomas, D. Choudhury, C. Rocha, Y. Li, M. L. Riley

“…This is the first evaluation of the NARCliM2.0 ensemble of seven Weather Forecasting and Research RCMs driven by ECMWF Reanalysis v5 (ERA5) over Australia at 20 km resolution contributing to CORDEX-CMIP6 Australasia and southeastern Australia at convection-permitting resolution (4 km). …”
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Solar Energetic Particle Events Detected in the Housekeeping Data of the European Space Agency's Spacecraft Flotilla in the Solar System by Beatriz Sánchez‐Cano, Olivier Witasse, Elise W. Knutsen, Dikshita Meggi, Shayla Viet, Mark Lester, Robert F. Wimmer‐Schweingruber, Marco Pinto, Richard Moissl, Johannes Benkhoff, Hermann Opgenoorth, Uli Auster, Jos deBrujine, Peter Collins, Guido DeMarchi, David Fischer, Yoshifumi Futaana, James Godfrey, Daniel Heyner, Mats Holmstrom, Andrew Johnstone, Simon Joyce, Daniel Lakey, Santa Martinez, David Milligan, Elsa Montagnon, Daniel Müller, Stefano A. Livi, Timo Prusti, Jim Raines, Ingo Richter, Daniel Schmid, Peter Schmitz, Håkan Svedhem, Matt G. G. T. Taylor, Elena Tremolizzo, Dimitri Titov, Colin Wilson, Simon Wood, Joe Zender

“…Abstract Despite the growing importance of planetary Space Weather forecasting and radiation protection for science and robotic exploration and the need for accurate Space Weather monitoring and predictions, only a limited number of spacecraft have dedicated instrumentation for this purpose. …”
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Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4 by T. Rackow, T. Rackow, X. Pedruzo-Bagazgoitia, T. Becker, S. Milinski, I. Sandu, R. Aguridan, P. Bechtold, S. Beyer, J. Bidlot, S. Boussetta, W. Deconinck, M. Diamantakis, P. Dueben, E. Dutra, E. Dutra, R. Forbes, R. Ghosh, H. F. Goessling, I. Hadade, J. Hegewald, T. Jung, T. Jung, S. Keeley, L. Kluft, N. Koldunov, A. Koldunov, T. Kölling, J. Kousal, C. Kühnlein, P. Maciel, K. Mogensen, T. Quintino, I. Polichtchouk, B. Reuter, D. Sármány, P. Scholz, D. Sidorenko, J. Streffing, B. Sützl, D. Takasuka, D. Takasuka, S. Tietsche, M. Valentini, B. Vannière, N. Wedi, L. Zampieri, F. Ziemen

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The Weather On-Demand Framework by Ólafur Rögnvaldsson, Karolina Stanislawska, João A. Hackerott

“…In addition to being able to create short- to medium-range weather forecasts for any location on the globe, users are granted access to a plethora of both global and regional weather forecasts and observations, as well as seasonal outlooks from the National Oceanic and Atmospheric Administration (NOAA) in the USA through WOD integrated-APIs. …”
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An overview of the transboundary dust events in southeastern Turkmenistan near the border of Iran (Sarakhs-Badkhyz region) by Mohammad Reza Mansouri Daneshvar, Seyed Javad Rasouli, Aliasghar Dehqanpour Aliaqa

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Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning by Ji-Hun Ha, Yong-Hyuk Kim, Hyo-Hyuc Im, Na-Young Kim, Sangjin Sim, Yourim Yoon

“…Severe weather events occur more frequently due to climate change; therefore, accurate weather forecasts are necessary, in addition to the development of numerical weather prediction (NWP) of the past several decades. …”
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Improving atmospheric pressure vertical correction model using Gaussian function by Baoshuang Zhang, Junyu Li, Lilong Liu, Yibin Yao, Liangke Huang, Chao Ren, Hongchang He, Tengxu Zhang, Yuxin Wang

“…The new model can correct atmospheric pressure from meteorological stations or numerical weather forecasts to different heights of the troposphere.…”
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