Heavy Rain Episodes Identified by L-band InSAR and Limitations of Split-Spectrum Method in Indonesia by Naufal Setiawan, Masato Furuya

“…Nonetheless, the topography, the fund availability, as well as the archipelagic state of Indonesia may raise difficulties for in-situ observation, such as rain gauge and weather radar. Currently, the advance of radiometer satellites, such as the Global Precipitation Mission delivers rain estimation and has proven to show good association with in-situ observation on a monthly basis, not daily over the Indonesia area. …”
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Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

“…Traditional deep learning-based prediction methods predominantly rely on weather radar data to quantify precipitation, often neglecting the integration of the thermal processes involved in the formation and dissipation of precipitation, which leads to reduced prediction accuracy. …”
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Novel Bat‐Monitoring Dataset Reveals Targeted Foraging With Agricultural and Pest Control Implications by Brian Lee, Samantha Sambado, D. Nākoa Farrant, Anna Boser, Kacie Ring, David Hyon, Ashley E. Larsen, Andrew J. MacDonald

“…In this study, we use a weather‐radar‐based bat‐monitoring algorithm to estimate bat foraging distributions during the peak season of 2019 in California's Northern Central Valley. …”
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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

“…To achieve this, we analyzed data from various sources, including natural disaster records from the National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), GOES-16 satellite imagery, soil moisture data from the Soil Moisture Active Passive (SMAP) satellite mission, ERA5 reanalysis, reflectivity from weather radar, and lightning data from the Lightning Location System. …”
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Weather Support for the 2008 Olympic and Paralympic Sailing Events by Yan Ma, Rongzhen Gao, Yunchuan Xue, Yuqiang Yang, Xiaoyun Wang, Bin Liu, Xiaoliang Xu, Xuezhong Liu, Jianwei Hou, Hang Lin

“…Three-dimensional real-time information with high spatial-temporal resolution was obtained by the comprehensive observation system during the OPSC, which included weather radars, wind profile radars, buoys, automated weather stations, and other conventional observations. …”
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Enhanced quantitative precipitation estimation through the opportunistic use of Ku TV-SAT links via a dual-channel procedure by L. Gelbart, L. Barthès, F. Mercier-Tigrine, A. Chazottes, C. Mallet

“…<p>Earth–satellite microwave links such as TV-SAT can help for rainfall monitoring and could be a complement or an alternative to ground-based weather radars, rain gauges or Earth observation satellites. …”
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