Determining ULF Wave Contributions to Geomagnetically Induced Currents: The Important Role of Sampling Rate by Michael D. Hartinger, Xueling Shi, Craig J. Rodger, Ikuko Fujii, E. Joshua Rigler, Karl Kappler, Jürgen Matzka, Jeffrey J. Love, Joseph B. H. Baker, Daniel H. Mac Manus, Michael Dalzell, Tanja Petersen

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Strong volcanic-induced climatic shocks on historical Moselle wine production by F. C. Ljungqvist, F. C. Ljungqvist, F. C. Ljungqvist, B. Christiansen, L. Schneider, L. Schneider, P. Thejll

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The Vlasiator 5.2 ionosphere – coupling a magnetospheric hybrid-Vlasov simulation with a height-integrated ionosphere model by U. Ganse, Y. Pfau-Kempf, H. Zhou, L. Juusola, L. Juusola, A. Workayehu, F. Kebede, K. Papadakis, M. Grandin, M. Alho, M. Battarbee, M. Dubart, L. Kotipalo, A. Lalagüe, J. Suni, K. Horaites, M. Palmroth, M. Palmroth

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Parametric study and energy evaluation of the effect of double glazing on the efficiency of a solar panel by Ahliouati Mohamed, El Otmani Rabie, Kandoussi Khalid, Boutaous M’Hamed

“…An energy balance incorporating various energy parameters was employed, taking into account the influence of external meteorological parameters. The results demonstrate a significant sensitivity between the thickness of the air space in the double glazing and the electrical performance of the photovoltaic module. …”
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Radar-measured passerine vertical speeds reveal a migratory switch near a major barrier by Yuval Werber, Nir Sapir

“…We calculated individual departure and landing timing using vertical-looking radar in the Hula Valley, compiled nightly departure and landing ratios (departure and landing amounts relative to total migration flux), and explored how these are affected by meteorological conditions. Crosswind direction emerged as a key factor affecting departure and landing decisions during autumn migration in the area. …”
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Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing by Chih-Wen Cheng, Yu-An Tzeng, Ming-Hsiung Chang, Shang-Chi Liu, Ho-King Cheung, Ching-Yeh Hsin

“…Dynamic programming was used for optimized voyage planning by modifying the ship course in response to meteorological data; this approach could balance both energy efficiency and safety. …”
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Calibration Methods to Estimate Reference Crop Evapotranspiration and Calculated Potential Water Requirements of Olive Plant in Kermanshah Province by Husayn Mirmousavi, Hamid Panahi, Hamid Akbari, Younes Akbarzadeh

“…Thecalculatedvalues​​ofthe potential evaporation-transpirationandtherecommendations of theWorld Meteorological Organization indicated that of the fivemethods mentioned aboveFAO - Penman-Monteithprovidesa moreaccurate estimate. …”
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Mieux appréhender la neige par le croisement de données qualitatives et quantitatives dans la région de l’Everest (Népal) by Ornella Puschiasis, Marie Savéan, Pierre Chevallier, Joëlle Smadja, Olivia Aubriot, François Delclaux

“…This method of crossing data from different disciplines proves very useful for mountain areas where meteorological stations and precise surveys are lacking, and where the wealth of local people’s knowledge is not sufficiently taken into account.…”
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Research on characteristic model-based atmospheric duct interference control in TDD wireless communication system by Xiaoyun WANG, Wei DENG, Long ZHANG, Xin SU, Shizhuo ZHAO

“…Atmospheric duct interference is a seriousinternal interference of large-scale TDD wireless communication system according to specific meteorological conditions.The causes and classification of the atmospheric duct interference were analyzed firstly.Then a typical quantitative interference signal propagation model of inland and sea atmospheric duct were proposed and the power characteristics of massive interference sources in time domain and frequency domain were verified.The feature of the proposed model is based on a large number of data in real 4G/5G network environment, which is of great significance for the prediction and cancellation of atmospheric duct interference.Finally, four design principles were proposed for the frame structure and networking in TDD system to control atmospheric duct interference based on the characteristics of the proposed model.The verification in 5G network shows that the uplink interference drops more than 10 dB by the proposed interference control principles.It will also be instructive for the design of 6G system.…”
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Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks by Josué Toledo-Castro, Pino Caballero-Gil, Nayra Rodríguez-Pérez, Iván Santos-González, Candelaria Hernández-Goya, Ricardo Aguasca-Colomo

“…With respect to this, meteorological variables, polluting gases and the oxygen level are measured in real time to estimate the existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas. …”
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Observational constraint on momentum flux-gradient relationships reduces modeling biases of PBL mixing of particles in urban area by Qike Yang, Chun Zhao, Renmin Yuan, Zining Yang, Qiuyan Du, Mingyue Xu, Yubin Li, Kaihui Xia

“…This study utilized meteorological parameters and turbulent fluxes obtained from field measurements in the urban roughness sublayer to re-establish momentum flux-gradient relationships. …”
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Effect of Atmospheric Pollutants on the Air Quality in Tunisia by Karim Bouchlaghem, Blaise Nsom

“…This paper presents the evolution of Saharan dust advection when the PM10 (particles with an aerodynamic diameter below 10 μm) concentration exceeds standard limits in different Tunisian sites. Meteorological and concentration data (from 2004 to 2010) obtained from several monitoring stations and in situ measurements were used to identify African dust change in seasonal occurrence, their source origin, and their impact on surface PM10 concentrations. …”
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Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning by FENG Xin, LIU Yanju, TONG Hongfu, QIAN Shuni

“…Combining with the random forest algorithm, this paper constructs a new meteorological drought forecasting model through regression analysis to screen global SST areas of forecasting significance and takes the Pearl River Basin as an example for application tests. …”
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Effect of Feature Selection on the Prediction of Direct Normal Irradiance by Mohamed Khalifa Boutahir, Yousef Farhaoui, Mourade Azrour, Imad Zeroual, Ahmad El Allaoui

“…The proposed models are based on historical data of meteorological parameters and solar radiation properties in a specific location of the region of Errachidia, Morocco, from January 1, 2017, to December 31, 2019, with an interval of 60 minutes. …”
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Enhancing Resilience through Nuclear Emergency Preparedness at El Dabaa Site by Waad Saleh, Juyoul Kim

“…Over a span of ten years, comprehensive meteorological data were meticulously analyzed to assess the dispersion of radioactive substances within a 40-kilometer radius across all four seasons. …”
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ELECTRICITY PRICE FORECASTING IN TURKISH DAY-AHEAD MARKET VIA DEEP LEARNING TECHNIQUES by Arif Arifoğlu, Tuğrul Kandemir

“…In the study, the provinces where the power plants producing with renewable resources are dense were selected for meteorological variables. It is expected that the trend towards electricity generation with renewable resources will increase in the future. …”
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Variability of climatic parameters in Tiefora, Burkina Faso: Scientific aspects and farmers' perceptions by Karambiri Bienvenue Lawankiléa Chantal Noumpoa

“…Climatic data from 1991-2020 were collected from the National Meteorological Agency (ANAM). In addition, individual questionnaire surveys were carried out among 100 local people. …”
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Improving Knowledge about Snow by Crossing Qualitative and Quantitative Data from the Everest Region (Nepal) by Ornella Puschiasis, Marie Savéan, Pierre Chevallier, Joëlle Smadja, Olivia Aubriot, François Delclaux

“…This method of crossing data from different disciplines proves very useful for mountain areas where meteorological stations and precise surveys are lacking, and where the wealth of local people’s knowledge is not sufficiently taken into account.…”
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THE EFFECT OF PRECIPITATION VARIABILITY AND CHANGE ON THE INCREASING DROUGHT RISK IN SOME CLIMATIC REGIONS IN SYRIA DURING THE PERIOD 1958-2018 by M. E. Skaff, L. E. Abboud, E. E. Mahfoud, R. A. Saker

“…Monthly precipitation values for six meteorological stations representing different climatic regions in Syria were used to estimate the change in drought characteristics during the period 1958-2018 by applying the Precipitation Anomaly Index (RAI) on different time scales. …”
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Why the Real Atmosphere Has More Energy than Climate Models: Implications for Ground-Based Telescopes by Adrian F. Tuck

“…Both climate models and meteorological analyses assume that it is. Satellite retrievals use spectroscopic data taken at equilibrium in laboratories, leading to apparent consistency that is to some degree faulty. …”
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