Assessment of Meteorological Drought in Korea under Climate Change by Jaewon Kwak, Soojun Kim, Jaewon Jung, Vijay P. Singh, Dong Ryul Lee, Hung Soo Kim

“…For the spatial characterization of drought, the standardized precipitation index (SPI) is calculated from the 45 observatories in Korea and the spatial distribution is also estimated based on the joint probability analysis using the copula method. …”
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Aerosol-Precipitation Interactions over India: Review and Future Perspectives by S. Ramachandran, S. Kedia

“…Over Bay of Bengal CER is positively correlated with AOD suggesting an inverse aerosol indirect effect. In future, observatories to measure aerosol characteristics (amount, size, type, chemical composition, mixing, vertical and horizontal distributions), and cloud properties (number and size) over several locations in India, and intense observational campaigns involving aircraft and ships are crucial to unravel the quantitative impact that aerosols have on Indian monsoon. …”
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New Photometric Investigation of the Solar-Type Shallow-Contact Binary HH Bootis by Jia-jia He, Jing-jing Wang

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Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation by Yong Zhao, Jingli Du, Hong Bao, Qian Xu

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L’Observatoire photographique national du paysage : transformations d’un modèle et hypothèses renouvelées de paysage by Frédérique Mocquet

“…The creation of so many Photographic Observatories of the Landscape presents a paradox. Why is this initiative such a success, given the difficulties encountered and the recurring criticism expressed by leading organisations concerning the implementation of this “tool”? …”
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A CME Automatic Detection Method Based on Adaptive Background Learning Technology by Zhenping Qiang, Xianyong Bai, Qinghui Zhang, Hong Lin

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Electrical conductivity in the mantle transition zone beneath eastern Central Asian Orogenic Belt revealed by geomagnetic signals by Yanhui Zhang, Yujia Hu, Mina Ma, Yuyan Zhang

“…First, the data of geomagnetic observatories in the study region are collected and processed, and the C-response curves are obtained by the bounded influence remote reference processing method (BIRRP). …”
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Solar Wind Speed Prediction via Graph Attention Network by Yanru Sun, Zongxia Xie, Haocheng Wang, Xin Huang, Qinghua Hu

“…Specifically, we combine the OMNI data measured at Lagrangian Point 1 (L1) with the extreme ultraviolet images observed by the Solar Dynamics Observatory satellite to predict the solar wind speed at L1. …”
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Enhanced YOLOv8-based method for space debris detection using cross-scale feature fusion by Yang Guo, Xianlong Yin, Yao Xiao, Zhengxu Zhao, Xu Yang, Chenggang Dai

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Slaying axion-like particles via gravitational waves and primordial black holes from supercooled phase transition by Angela Conaci, Luigi Delle Rose, P. S. Bhupal Dev, Anish Ghoshal

“…Moreover, the supercooled PT leads to a potentially observable stochastic gravitational wave (GW) signal at future GW observatories, such as aLIGO, LISA and ET, that acts as another complementary probe of the ALPs, as well as of the PBH dark matter. …”
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The Hottest Neptunes Orbit Metal-rich Stars by Shreyas Vissapragada, Aida Behmard

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Prospects for the characterization of habitable planets by Mazevet, Stephane, Affholder, Antonin, Sauterey, Boris, Bixel, Alex, Apai, Daniel, Ferriere, Regis

“…Informed by these applications for solar system situations where habitability and inhabitation is questionned, we show how the method can be used to inform the design of future space observatories by considering habitability and inhabitation of Earth-like exoplanets around sun-like stars.…”
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COSMIC: A Galaxy Cluster–Finding Algorithm Using Machine Learning by Da-Chuan Tian, Yang Yang, Zhong-Lue Wen, Jun-Qing Xia

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Parameter Acquisition Study of Mining-Induced Surface Subsidence Probability Integral Method Based on RF-AGA-ENN Model by Jinman Zhang, Liangji Xu, Jiewei Li, Yueguan Yan, Ruirui Xu

“…., quantity and quality) from ground movement observatories and the parameter inversion method. To obtain more accurate PIM parameters in the absence of observational data, we propose a combined machine learning model (RF-AGA-ENN)—random forest (RF) extracts the best combination of features as the input layer of Elman neural network (ENN); ant colony algorithm (ACO) and genetic algorithm (GA) are combined (called AGA) for the weights and thresholds of ENN optimization. …”
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Direct imaging of exoplanets: Legacy and prospects by Chauvin, Gael

“…In that perspective, direct imaging from ground-based observatories or in space is playing a central role in concert with other observing techniques. …”
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A 100‐year Geoelectric Hazard Analysis for the U.S. High‐Voltage Power Grid by G. M. Lucas, J. J. Love, A. Kelbert, P. A. Bedrosian, E. J. Rigler

“…Data from 24 geomagnetic observatories, 1,079 magnetotelluric survey sites, and 17,258 transmission lines are utilized to perform a geoelectric hazard analysis with the most comprehensive data publicly available. …”
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Evaluation of high-resolution snowpack simulations from global datasets and comparison with Sentinel-1 snow depth retrievals in the Sierra Nevada, USA by L. Sourp, L. Sourp, S. Gascoin, L. Jarlan, V. Pedinotti, K. J. Bormann, M. W. Baba

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Magnetic Signatures of Ionospheric Disturbance Dynamo for CME and HSSWs Generated Storms by Waqar Younas, C. Amory‐Mazaudier, Majid Khan, M. Le Huy

“…The Oscillatory behavior of IMF Bz during the high‐speed solar wind streams (HSSWs) generates Ddyn globally and the corresponding effects are observed at all low latitude magnetic observatories. In this regard, the Joule heating estimation shows that CME and HSSWs generated storms have very different patterns. …”
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Continuous Gravitational Waves from Thermal Mountains on Accreting Neutron Stars: Effect of the Nuclear Pasta Phase by Hong-Bo Li, Lijing Shao, Cheng-Jun Xia, Ren-Xin Xu

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Solar Wind Speed Prediction With Two‐Dimensional Attention Mechanism by Yanru Sun, Zongxia Xie, Yanhong Chen, Xin Huang, Qinghua Hu

“…Solar wind speed prediction is improved by making full use of OMNI data measured at Lagrangian Point 1 (L1) by the National Aeronautics and Space Administration (NASA) and image data observed by the Solar Dynamics Observatory (SDO) satellite in this work. Specifically, we propose a model based on the “two‐dimensional attention mechanism” (TDAM) to predict solar wind speed. …”
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