Gelatin Used as a Transductor in an Optical Hygrometer Based on a Fabry-Perot Interferometer by Sergio Calixto

“…The measurement of humidity shows its importance in applications such as food processing, meteorological, semiconductor, building and construction, medical, and automotive to mention but a few. …”
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A Field Study on the Indoor Thermal Environment of the Airport Terminal in Tibet Plateau in Winter by Jianglong Zhen, Jun Lu, Guangqin Huang, Liyue Zeng, Jianping Lin, Hongtao Xia

“…First, the unique climate characteristics in Tibet Plateau were analyzed through comparison of meteorological parameters in Beijing and Lahsa. The thermal environment in the terminal was divided into outer zone and inner zone as well as south zone and north zone. …”
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Analysis of Air Quality Changes and Influencing Factors in Changchun during the COVID-19 Pandemic in 2020 by Hanbo Gao, Ju Wang, Tongnan Li, Chunsheng Fang

“…Abstract To study the air quality changes during the Corona Virus Disease 2019 (COVID-19) lockdown in Changchun, we analyzed the changes in pollution of six major pollutants (PM2.5, PM10, SO2, NO2, O3, CO) and correlated them with meteorological parameters, using meteorological data and pollutants concentration data. …”
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Utilizing Low-cost Mobile Monitoring to Estimate the PM2.5 Inhaled Dose in Urban Environment by Muhammad Miftahul Munir, Martin Adrian, Casmika Saputra, Puji Lestari

“…In addition, low variability on the meteorological factors caused weak relationship with the PM2.5 concentration. …”
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Utilization of a Lightweight 3D U-Net Model for Reducing Execution Time of Numerical Weather Prediction Models by Hyesung Park, Sungwook Chung

“…Conventional weather forecasting relies on numerical weather prediction (NWP), which solves atmospheric equations using numerical methods. The Korea Meteorological Administration (KMA) adopted the Met Office Global Seasonal Forecasting System version 6 (GloSea6) NWP model from the UK and runs it on a supercomputer. …”
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Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting by Ehtsham Muhammad, Rotilio Marianna, Cucchiella Federica, Di Giovanni Gianni, Schettini Domenico

“…Moreover, the results of this study also highlight the significance of meteorological estimates from NASA’s Power project, as models successfully discerned the complex energy forecast patterns. …”
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Investigating the Effect of Seasonal Variation on Road Traffic Accident Occurance Along Selected Routes in Western Uganda. by Kwesiga, Ivan

“…Secondary data on RTAs and mean monthly rainfall were collected for the period covered by the study from the Uganda Traffic Police Force and the Uganda National Meteorological Authority, Kabale Meteorological Station. …”
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Spatio-Temporal Characteristics of Climate Extremes in Sub-Saharan Africa and Potential Impact of Oceanic Teleconnections by Lormido Ernesto Zita, Flávio Justino, Carlos Gurjão, James Adamu, Manuel Talacuece

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The Impact of Spatial Dynamic Error on the Assimilation of Soil Moisture Retrieval Products by Xuesong Bai, Zhengkun Qin, Juan Li, Shupeng Zhang, Lili Wang

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Influences of a Quasi-stationary Front on Particulate Matter in the Low-latitude Plateau Region in China by Wenxuan Fan, Jian Wu, Xiaopeng Li, Fangyuan Yang, Bing Chen, Jun Guo

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Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang

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Advances in the Research on Brown Carbon Aerosols: Its Concentrations, Radiative Forcing, and Effects on Climate by Shuai Li, Hua Zhang, Zhili Wang, Yonghang Chen

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Effect of Future Climate Change on Stratosphere-to-Troposphere-Exchange Driven Ozone in the Northern Hemisphere by Shovan Kumar Sahu, Lei Chen, Song Liu, Jia Xing, Rohit Mathur

“…Comparison of STE and non-STE meteorological process contributions to O3 due to climate change revealed that contributions of non-STE processes were highest in summer while STE contributions were highest in winter. …”
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Application of the ESTARFM algorithm for fusing Sentinel-2 and MODIS NDSI series in the eastern Qilian Mountains by Hui Guo, Xiaoyan Wang, Zhiqi Ouyang, Siyong Chen, Tao Che, Zhaojun Zheng

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How to Achieve a 50% Reduction in Nutrient Losses From Agricultural Catchments Under Different Climate Trajectories? by Maarten Wynants, Johan Strömqvist, Lukas Hallberg, John Livsey, Göran Lindström, Magdalena Bieroza

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Advancing Slope Stability and Hydrological Solutions Through Biocementation: A Bibliometric Review by Armstrong Ighodalo Omoregie, Tariq Ouahbi, Fock-Kui Kan, Qurratu Aini Sirat, Hafsat Omolara Raheem, Adharsh Rajasekar

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Evaluating the Association Between Ambient Pollutants and Climate Conditions in Chiangmai, Thailand by S. Piyavadee, R. Chumaporn and V. Patipat

“…Therefore, the vital meteorological variables associated with air pollution are very useful for forecasting the harmful and severity level of each air pollutant.…”
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Performance Evaluation and Estimation of Energy Measures of Grid-Connected PV Module by R. Srimathi, J. Meenakshi, R. Vijayabhasker, Semagn Shifere Belay

“…The final yield, photovoltaic (PV) effectiveness, array yield, performance ratio, and capacity utilisation factor seem to be the variables used to evaluate performance. Using recorded meteorological data at the selected location, PVsyst software predicts both PV systems’ year-round performances. …”
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A critical approach to clustering precipitation series in the Dobrogea region, Romania by Saliba Youssef, Barbulescu Alina, Dumitriu Cristian Ștefan

“…This study provides a detailed framework for applying clustering algorithms to analyze precipitation data from the Dobrogea region in Romania, covering 46 meteorological stations from 1965 to 2005. Three clustering methods—K-means, K-medoids, and DBSCAN—were employed to partition the stations based on their monthly precipitation patterns. …”
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Predicting Last Spring Freezing Day in West and Northwest of Iran by Hasan Zolfaghari, Gholamreza Zahedi, Tayebe Sajjadifar

“…In this paper we try to predict last freezing day of spring for 17 meteorological stations in west and northwest of Iran by Artificial Neural Networks. …”
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