Trend Analysis of Lake Surface Temperatures in Lake Van by Kebir Emre Saraçoğlu, Fevziye Ayça Saraçoğlu

“…For the period of 2016- 2020; NASA-Day, NASA-Night satellite and measurement data obtained from the Turkish State Meteorological Service for 3 stations were compared. …”
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Extreme drought-heatwave exacerbates water quality deterioration in China by Jie Jiang, Zhaoli Wang, Zhenxing Zhang, Xushu Wu, Chengguang Lai, Zhaoyang Zeng, Xiaohong Chen

“…The spatiotemporal development was characterized by using meteorological drought index and drought centroid tracking, and the responses of nine water quality constituents to this event were quantified. …”
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Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction by Hui Wang, LiPing Wang, QiCang Qiu, Yuyan Gao, WenJuan Li, QiuShun Wang

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Investigating the Relationship Between Dust Event and Climate and Surface Factors in Khuzestan Province (2011-2019) by Elham Mobark Hassan, Mahnaz Karimkhani

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Statistical and SWAT Model-Based Performance Evaluation of RCMs in Modeling Streamflow and Sediment Yield at Upper Awash Sub-Basin, Ethiopia by Bekan Chelkeba Tumsa

“…The study used observed and CORDEX Africa-44 meteorological data for RACMO22T, RCA4, CCLM4-8-17, and HIRHAM5 models using grid points. …”
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Predicting Geostationary (GOES) 4.1–30 keV Electron Flux Over All MLT Using LEEMYR Regression Models by L. E. Simms, N. Y. Ganushkina, M. van deKamp, M. W. Liemohn

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Evaluation of Adaptive Measures of Climate Change on the Income of Rural Farmers in Tarshiz Plain by Hamid Mohammadi, Sanaz Hedayat Shishvan

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Measurements and Simulations of the Geomagnetically Induced Currents in Low‐Latitude Power Networks During Geomagnetic Storms by J. J. Zhang, Y. Q. Yu, C. Wang, D. Du, D. Wei, L. G. Liu

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Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN by Zhou Chen, Kecheng Zhou, Haimeng Li, Jing‐song Wang, Zhihai Ouyang, Xiaohua Deng

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Fluctuations of Temperature and Thermal Energy in the Place of Double Diffusion Structures in the Strait of Hormuz by Mostafa Solgi, Mahdi Mohammad-Mahdizadeh, Abbas Ali Ali Akbari Bidokhti, Smaeyl Hassanzadeh

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Intensified Drought Threatens Future Food Security in Major Food-Producing Countries by Zihao Liu, Aifeng Lv, Taohui Li

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Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin by iran salehvand, amir gandomkar, ebrahim fatahi

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Marine Automatic Weather System (MAWS) instrumentation system for climate change monitoring based on The Internet of Things (IoT) by Husen Zakaria, Ismail Nazli, Syukri Surbakti Muhammad, Omar Fairuz, Yusibani Elin, Kesuma Fatmawati, Nurhanif Nurhanif, Arif Hasibuan Ahmad, Fauzi Fauzi

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Spatial Modeling of Airborne Particles (PM2.5 and PM10) in Tehran city Using Convolutional Neural Network. by Abed Bashar Doost, Mohammad Saadi Mesgari

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Patchiness of plankton ecosystem structure due to nutrient mixing along the shelf edge in the North Sea by Axelle Cordier, Jørgen Bendtsen, Niels Daugbjerg, Nikolaj From, Sigrún Huld Jónasdóttir, Erik Askov Mousing, Jens Tang Christensen, Teresa Silva, Katherine Richardson

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A Systematic Review of Research on Late Spring Frost and its Estimation Methods by Mobina Abdollahi Fuzi, Bahram Bakhtiari, Kourosh Qaderi

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Analysis of Spatiotemporal Variation of Extreme Precipitation Characteristics in Yangtze River Basin by AI Jiaqi, ZHANG Hairong, GU Xuezhi, XIN Qian, CAO Hui, BAO Zhengfeng, YE Lei

“…Based on the daily precipitation data of 224 meteorological stations in the Yangtze River Basin for a total of 59 years from 1960 to 2018,the Mann-Kendall trend test (M-K) and linear fitting method are used to analyze the temporal variation characteristics of extreme precipitation in the Yangtze River Basin.The most applicable method for the parameter estimation of generalized extreme value distribution (GEV) in the Yangtze River Basin is determined,and the GEV tail characteristics are analyzed,so as to resolve the spatial characteristics of extreme precipitation in the Yangtze River Basin.The results show that ① the extreme precipitation in the Yangtze River Basin is generally on an upward trend,and the areas with upward-trending extreme precipitation are mainly in the middle and lower reaches of the Yangtze River.The stations with the fastest growth rates of extreme precipitation levels are mainly distributed in the lower reaches of the Yangtze River,and the extreme precipitation levels in the middle and lower reaches of the Yangtze River Basin may further increase in the future. …”
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The 2022 Starlink Geomagnetic Storms: Global Thermospheric Response to a High‐Latitude Ionospheric Driver by D. D. Billett, K. Sartipzadeh, M. F. Ivarsen, E. Iorfida, E. Doornbos, E. C. Kalafatoglu Eyiguler, K. Pandey, K. A. McWilliams

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Skillful subseasonal ensemble predictions of heat wave onsets through better representation of land surface uncertainties by Qiyu Zhang, Mu Mu, Guodong Sun

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Reproduction of Local Strong Wind Area Induced in the Downstream of Small-Scale Terrain by Computational Fluid Dynamic (CFD) Approach by Takanori Uchida, Keiji Araki

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