Applicability of CMADS in Runoff Simulation of Huotong River Basin Based on SWAT Model by XU Yang, ZENG Yaozhong, WANG Yucheng, LI Xintong

“…The scarcity of meteorological data leads to the limitation of hydrological model research,which also exists in small and medium-sized rive basins along the southeastern coastal areas of China.The China meteorological assimilation dataset (CMADS) is the available meteorological dataset,which aims to filling the gap of data scarcity in hydrological model.Therefore,it is particularly important to verify the applicability of this dataset in runoff simulation based on SWAT model.Taking the Fujian Huotong River basin as the object,and the data of the survey station as the reference,this paper evaluates the applicability of CMADS by using the data consistency evaluation,the test coefficient of runoff simulation based on SWAT model and the spatial distribution of hydrological elements.The results show that:The spatial distribution of precipitation in the two types of data is consistent,and the correlation of temperature data is high.The R² and NSE coefficients of the monthly and daily runoff simulation results based on SWAT model obtained from the CMADS and the survey stations are satisfactory.The hydrological components of the CMADS model have little deviation from that of the survey station with consistent spatial distribution.Therefore,it can be concluded that the CMADS has good applicability in the runoff simulation of representative river basins along the southeast coastal area of China.…”
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PV Power Forecasting in the Hexi Region of Gansu Province Based on AP Clustering and LSTNet by Xujiong Li, Guoming Yang, Jun Gou

“…The Pearson correlation coefficient is used to determine the strong correlation between meteorological factors of photovoltaic power, and the bilinear interpolation method is used to encrypt the meteorological data of the corresponding photovoltaic station cluster. …”
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Time series models for prediction of leptospirosis in different climate zones in Sri Lanka. by Janith Warnasekara, Suneth Agampodi, Rupika Abeynayake

“…Routinely collected meteorological data may offer an effective means of making such predictions. …”
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Measurement report: Analysis of aerosol optical depth variation at Zhongshan Station in Antarctica by L. Chen, L. Chen, L. Zhang, Y. She, Z. Zeng, Y. Zheng, B. Tian, W. Zhang, Z. Liu, H. Che, M. Ding

“…These findings help us infer AOD variation patterns in the coastal Antarctic based on meteorological changes, providing valuable insights for climate modeling in the context of global climate change.…”
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Representative CO2 emissions pathways for China's provinces toward carbon neutrality under the Paris Agreement's 2 °C target by Han-Tang Peng, Da Zhang, Jun-Ting Zhong, Li-Feng Guo, Si-Yue Guo, Jun-Ling Huang, De-Ying Wang, Chang-Hong Miao, Xi-Liang Zhang, Xiao-Ye Zhang

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Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination. by Muhammad Asif Khan, Sergey Barykin, Dmitry Karpov, Nikita Lukashevich, Akram Ochilov, Rizwan Munir

“…The primary cause of water shortages is inadequate precipitation, which can be influenced by meteorological factors such as temperature, humidity, and precipitation patterns. …”
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Trends in Air Pollution in Europe, 2000–2019 by Wenche Aas, Hilde Fagerli, Andres Alastuey, Fabrizia Cavalli, Anna Degorska, Stefan Feigenspan, Hans Brenna, Jonas Gliß, Daniel Heinesen, Christoph Hueglin, Adéla Holubová, Jean-Luc Jaffrezo, Augustin Mortier, Marijana Murovec, Jean-Philippe Putaud, Julian Rüdiger, David Simpson, Sverre Solberg, Svetlana Tsyro, Kjetil Tørseth, Karl Espen Yttri

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Dependence of SYMH Change Rate on Dynamic Pressure during the Main Phases of Storms: A Comparative Analysis of the 2024 May and 2003 November Superstorms by Ming-Xian Zhao, Gui-Ming Le

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Impact of Weather and Holidays on Orthopedic Emergency Room Crowding, Fractures, and Polytraumas in a Third-Level Referral Trauma Center in Europe by Lorenzo Andreani, Edoardo Ipponi, Francesco Pecchia, Giorgio Balestrieri, Edoardo Tosi, Stefano Marchetti, Paolo Domenico Parchi

“…Conclusion: Temperatures, meteorological factors, and national holidays could vary the workloads in the orthopedic ER of a European third-level trauma center.…”
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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

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An Examination of Temporal and Spatial Trends of Growing Degree Days in Turkey by İlhami Doğan, Murat Karabulut

“…Growing degree-days (GDD) is one of the phenological prediction models based on meteorological variability. In this study, daily maximum and daily minimum temperature records of 147 meteorological observation stations were used to determine annual and seasonal trends of GDD in Turkey. …”
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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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Local Magnetic Activity Index Nowcast Based on Concurrent Measurements at Two Observatories in Close Proximity by Tobias G. W. Verhulst, Stephan Bracke, François Humbled, Stanimir M. Stankov

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Carbon sequestration in different urban vegetation types in Southern Finland by L. Thölix, L. Backman, M. Havu, M. Havu, E. Karvinen, J. Soininen, J. Trémeau, O. Nevalainen, J. Ahongshangbam, L. Järvi, L. Järvi, L. Kulmala

“…All models indicated notable year-to-year differences in annual sequestration rates, but since the same factors, such as temperature and soil moisture, affect processes both assimilating and releasing carbon, connecting the years of high or low carbon sequestration to single meteorological means failed. Overall, this research emphasizes the importance of integrating diverse vegetation types and the impacts of irrigation into urban carbon modelling efforts to inform sustainable urban planning and climate change mitigation strategies.…”
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Lidar estimates of birch pollen number, mass, and CCN-related concentrations by M. Filioglou, P. Tiitta, P. Tiitta, X. Shang, A. Leskinen, P. Ahola, S. Pätsi, A. Saarto, V. Vakkari, V. Vakkari, U. Isopahkala, M. Komppula

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PM2.5 concentration prediction model based on random forest regression analysis by Xu DU, Jingyu FENG, Shaoqing LV, Wei SHI

“…The random foreat regression algorithm was introduced to solve the shortcomings of neural network in predicting the PM2.5 concentration,such as over-fitting,complex network structure,low learning efficiency.A novel PM2.5 concentration prediction model named RFRP was designed by analyzing the 22 characteristic factors including the meteorological conditions,the concentration of air pollutants and the season.The historical meteorological data of Xi’an in 2013—2016 were collected to verify the effectiveness of the model.The experimental results show that the proposed model can not only predict the PM2.5 concentration effectively,but also improve the operating efficiency of the model without affecting the prediction accuracy.The average run time of the proposed model is 0.281 s,which is about 5.58% of the neural network prediction model.…”
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Estimation of Precipitation in Tianshan Mountains Based on Topographic Factors by TANG Jian

“…In view of the scarcity of meteorological stations in Tianshan Mountains, it isdifficult to deeply understand the spatial distribution pattern and mechanism of precipitation inmountainous areas. …”
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Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China by Bingwei Wang, Qigen Lin, Tong Jiang, Huaxiang Yin, Jian Zhou, Jinhao Sun, Dongfang Wang, Ran Dai

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Synoptic-Thermodynamic Investigation of the Dust Phenomenon in Isfahan Province (Case Study) by Leila Amini, Hosseinali Narimani, Mina Motamedi, Akram Parande Khozani

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Polar mesospheric ozone loss initiates downward coupling of solar signal in the Northern Hemisphere by Annika Seppälä, Niilo Kalakoski, Pekka T. Verronen, Daniel R. Marsh, Alexey Yu. Karpechko, Monika E. Szelag

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