Tsunami modelling over global oceans by Siva Srinivas Kolukula, P. L. N. Murty, T. Srinivasa Kumar, E. Pattabhi Ramarao, Ramana Murthy M. V

Get full text

Simulation of the Hydrological Components of Dez River Basin by the classification of Land Use Categories Using SUFI-2 Algorithm by Elaheh Asgari, Mohammad Baaghideh, Majid Hosseini, Alireza Entezari, Asghar Kamyar

Get full text

Future large-scale atmospheric circulation changes and Greenland precipitation by Baojuan Huai, Minghu Ding, Michiel R. van den Broeke, Carleen H. Reijmer, Brice Noël, Weijun Sun, Yetang Wang

Get full text

Temporal and Spatial Variation of Potential Evaporation and Its Influencing Factors in Pearl River Basin from 1980 to 2019 by ZUO Daxing, ZANG Chuanfu, WANG Lina

“…Evaporation is an important link in the water cycle,and in-depth studies on the influence of various meteorological factors on evaporation changes are of great significance for climate change,ecological restoration,and utilization of water resources.In this study,the Penman-Monteith model modified by the Food and Agriculture Organization of the United Nations (FAO) is used to calculate the potential evaporation (ET₀) in the Pearl River Basin from 1980 to 2019.The Mann-Kendall non-parametric test method and inverse distance weighting method are used to analyze the spatial and temporal distribution characteristics of the ET₀,and the principal component analysis method is used to analyze the influencing factors.The results show that:① The average ET₀ of the Pearl River Basin is 1 145.8 mm,and the growth rate is 1.37mm/a,which shows an increasing trend.In terms of four seasons,the growth rate increases in spring (0.56 mm/a),autumn (0.4 mm/a),and winter (0.44 mm/a) but decreases in summer (-0.03 mm/a).② In terms of spatial distribution,the annual average ET₀ of the Pearl River Basin is high in the east,west,and south but low in the middle andnorth.The distribution of ET₀in summer,autumn,and winter is similar.However,the distribution of ET₀ in spring is opposite to that in summer,autumn,and winter.③ Temperature,average water vapor pressure,and altitude are the leading factors of ET₀ changes.Factors such as temperature,average water vapor pressure,sunshine duration,and wind speed make positive contributions to ET₀,while altitude,latitude,and relative humidity make negative contributions to ET₀ changes.…”
Get full text

Review of climate-resilient agriculture for ensuring food security: Sustainability opportunities and challenges of India by Satiprasad Sahoo, Chiranjit Singha, Ajit Govind, Armin Moghimi

“…Climate Resilient Agriculture (CRA) effectively responds to climate change while contributing to sustainable productivity adapted to local hydro-meteorological conditions. CRA provides resilience to climate variability by enhancing agricultural viability through water exchange between surface and groundwater systems. …”
Get full text

CM SAF Oransal Bulut Kapalılığı (CFC) Verisinin Başarımı ve Doğu Anadolu Gözlemevi (DAG) Yerleşkesi için Analizi by Cahit Yeşilyaprak, Kazım Kaba

“…EUMETSAT’ın (European Organisation for the Exploitation of Meteorological Satellites; Avrupa Birliği Meteorolojik Uydu İşletme Teşkilatı) denetim ve koordinasyonunda olan CM SAF (Satellite Application Facility on Climate Monitoring; İklim Yönetimi Üzerine Uydu Uygulama Birimi), METEOSAT verilerinden iklimsel çalışmalar için atmosferimize ait çeşitli veri setleri üretmektedir. …”
Get full text

Spatial-temporal Variation and Local Source Identification of Air Pollutants in a Semi-urban Settlement in Nigeria Using Low-cost Sensors by Oyediran Kayode Owoade, Pelumi Olaitan Abiodun, Opeyemi R. Omokungbe, Olusegun Gabriel Fawole, Felix Samuel Olise, Olalekan O. M. Popoola, Roderic L. Jones, Philip K. Hopke

“…Abstract Low-cost sensors were deployed at five locations in a growing, semi-urban settlement in southwest Nigeria between June 8 and July 31, 2018 to measure particulate matter (PM2.5 and PM10), gaseous pollutants (CO, NO, NO2, O3 and CO2), and meteorological variables (air temperature, relative humidity, wind speed and wind-direction). …”
Get full text

Statistical characteristics and classification of ionospheric mid-latitude trough as revealed by the observations of DMSP-F18 by Yi Liu, JiuHou Lei, FuQing Huang, Su Zhou

“…Statistical characteristics and the classification of the topside ionospheric mid-latitude trough are systemically analyzed, using observations from the Defense Meteorological Satellite Program F18 (DMSP-F18) satellite. …”
Get full text

Processes controlling the dispersion and beaching of floating marine debris in the Barcelona coastal region by Ivan Hernandez, Leidy M. Castro-Rosero, Leidy M. Castro-Rosero, Manuel Espino, Jose M. Alsina, Jose M. Alsina

“…Data from a Lagrangian numerical simulation at a coastal scale using high-resolution hydrodynamic information and observational data of river debris discharge were analysed to determine the environmental variables from meteorological forcing or coastline orientation contributing to particle beaching.MethodA beaching likelihood parameter was developed to quantitatively measure the propensity for an area to receive or accumulate particles from a known outflow source. …”
Get full text

Electrification as a development and sustainability approach in rural areas using renewable energy sources by J. Fábregas Villegas, I. Tovar Ospino, A. Palencia Díaz

“…Subsequently, risk management was applied in projects of this nature, assessing the renewable potentials available in the region, such as wind and photovoltaic solar energy.FINDINGS: Of the risks encountered, political risk is the main reason why projects focused on renewable energy in the Colombian Caribbean do not end in a good state of operation, although there is a good exploitable solar and wind energy potential in the region as indicated by the statistical analyses carried out with the records obtained by meteorological instrumentation of the area. Presenting potential solar radiation levels ranging from 5 kilowatt-hours per square meter per day, and wind speeds exceeding 2 and 7 meters per second in certain localities. …”
Get full text

Ecohydrological responses to solar radiation changes by Y. Wang, N. Meili, S. Fatichi

“…Here, we compute how changes in solar radiation affect global and local near-surface meteorological variables by using CMIP6 model results. …”
Get full text

Performance Analysis of a Parabolic Trough Collector with Photovoltaic—Thermal Generation: Case Study and Parametric Study by Benjamín Chavarría-Domínguez, Susana Estefany De León-Aldaco, Mario Ponce-Silva, Nicolás Velázquez-Limón, Jesús Armando Aguilar-Jiménez, Fernando Chavarría-Domínguez, Ernesto Raúl Rodríguez-García, Heriberto Adamas-Pérez, Ricardo Eliu Lozoya-Ponce, Eligio Flores-Rodriguez

“…A case study is presented, utilizing meteorological data obtained from the localities of Cuernavaca and Mexicali in Mexico. …”
Get full text

Drought-induced stress on rainfed and irrigated agriculture: Insights from multi-source satellite-derived ecological indicators by Yanan Chen, Ying Wang, Chaoyang Wu, Alexandre Maniçoba da Rosa Ferraz Jardim, Meihong Fang, Li Yao, Guihua Liu, Qiuyi Xu, Lintao Chen, Xuguang Tang

“…In this study, we illustrated that irrigation plays an important role in mitigating meteorological droughts in agroecosystems as well as providing safeguards for human food supply.…”
Get full text

A molecular toxicological study to explore potential health risks associated with ultrafine particle exposure in cold and humid indoor environments by Ziyu Shu, Shuo Qing, Xu Yang, Ping Ma, Yang Wu, Baizhan Li, Fangxin Fang, Runming Yao

“…Environmental pollutants including ultrafine particulate matter (UFPs) and adverse meteorological conditions pose significant public health impacts, particularly affecting respiratory health. …”
Get full text

Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study by X. Zheng, D. Liu, S. Huang, H. Wang, X. Meng

“…In the end, we explored the potential factors influencing the distribution of residuals and found notable scale effects, along with the key role of hydro-meteorological conditions. This emphasizes the importance of carefully evaluating the water balance assumption when employing multisource datasets for hydrological inference in small and humid basins.…”
Get full text

Spatial-Temporal Pattern of Vegetation Net Primary Productivity and Its Natural Driving Factors in Ordos Section of the Yellow River Basin by Xiaoguang Wu, Weiwei Hao, Guohua Qu, Lingyun Yang

“…Therefore, based on MOD17A3 NPP data and meteorological data, this study used the slope of a one-dimensional linear regression equation, Spearman correlation analysis method, and geographical detector model to reveal the spatial and temporal evolution characteristics of NPP in the Ordos section of the Yellow River Basin from 2000 to 2021 and the impact of weather change on NPP. …”
Get full text

Quantitative Assessment of Gaseous Effluents during Routine Operation: A Comparative Study of Planned Nuclear Power Plants at Lubiatowo-Kopalino and Pątnów Sites in Poland by Edyta Agata Macieja, Juyoul Kim

“…Subsequently, the HotSpot software was used to calculate the radiation risk for downwind areas by utilizing GALE code results as source terms together with specific meteorological data corresponding for each localization. …”
Get full text

An evaluation approach to PM2.5 policy effectiveness over South Korea based on a newly proposed scalable spatial decomposition method by Jihoon Seo, Ahreum Lee, Doo-Sun R Park, Daeok Youn, Kyung Hwan Kim, Chang-Eui Park, Jin Young Kim

“…Air quality management policies often exhibit spatial inconsistencies in effectiveness due to the diverse spatial scales of air pollution variability, which result from source characteristics as well as geographical and meteorological factors. To address this, the present study proposes a scalable spatial decomposition method to separate spatiotemporal air pollution data into background (nationwide), intercity-scale (tens of kilometers), and neighborhood-scale (several kilometers) components. …”
Get full text

Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

“…This model is based on covariates such as aerosol optical depth (AOD), meteorological parameters, and Land-use-Land-cover (LULC) variables and is validated with extensive datasets from continuous and manual air quality monitoring stations through a 10-fold cross-validation process. …”
Get full text

Thermospheric Conditions Associated With the Loss of 40 Starlink Satellites by Yongliang Zhang, Larry J. Paxton, Robert Schaefer, William H. Swartz

“…Abstract We analyzed far ultraviolet data from Defense Meteorological Satellite Program (DMSP)/Special Sensor Ultraviolet Spectrographic Imager (SSUSI) and Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED)/Global Ultraviolet Imager (GUVI) and found significant changes in the thermospheric density and composition during the 3–5 February 2022 storm when 40 Starlink satellites started to re‐enter the atmosphere associated with increased neutral drag at an altitude around 210 km. …”
Get full text