Air Traffic Efficiency Analysis of Airliner Scheduled Flights Using Collaborative Actions for Renovation of Air Traffic Systems Open Data by Akinori Harada, Tooru Ezaki, Tomoaki Wakayama, Koichi Oka

“…Flight information, such as air data and fuel flow, is estimated by applying meteorological data and aircraft performance model to the position information of radar data. …”
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Flood hazard mapping in an urban area using combined hydrologic-hydraulic models and geospatial technologies by B.A.M. Talisay, G.R. Puno, R.A.L. Amper

“…To visualize the extent and mitigate the impacts of flood hazard in Malingon River in Valencia City, Bukidnon, this paper presents the combination of Geographic Information System, high-resolution Digital Elevation Model, land cover, soil, observed hydro-meteorological data; and the combined Hydrologic Engineering Center-Hydrologic Modeling System and River Analysis System models. …”
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Air Pollution and COPD: Unveiling Hidden Risks of Mortality, Mechanical Ventilation, and Prolonged Hospitalization by Jovan Javorac, Dejan Živanović, Miroslav Ilić, Ana Milenković, Emilija Vujičić, Dragica Kovačević, Jelena Zvekić-Svorcan, Darko Mikić, Svetlana Stojkov, Jasminka Bačevac Eminović, Marija Jevtić

“…Using a five-year time-series analysis, concentrations of selected air pollutants (PM₁₀, PM_2.5, SO₂, and NO₂) and meteorological data were integrated with hospitalization outcomes. …”
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Development of a Daily Databank of Solar Radiation Components for Moroccan Territory by Mohammed Benchrifa, Hajar Essalhi, Rachid Tadili, Mohammed N. Bargach, Abdellah Mechaqrane

“…Firstly, we used one year’s worth of measurements of the different components of the solar radiation, provided by the National Meteorological Department, to establish the extrapolation equations between the global radiation at the reference site and the global radiation of twenty-eight other sites. …”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Machine learning is critical in crop production prediction because it can anticipate crop output based on factors such as location, meteorological conditions, and season. It is advantageous for policymakers and farmers alike to be able to precisely estimate crop yields throughout the growing season since it allows them to anticipate market prices, plan import and export operations, and limit the social cost of crop losses. …”
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Assessment of Vegetation Temperature Status (VTCI) for monitoring drought in the watershed of Lake Urmia by using MODIS satellite imagery by Adel Nabi Zadeh Balkhanloo, zahra hejazizadeh, Parviz zeaiean Firoozabadi

“…The present study showed that with the integration of satellite satellite data with meteorological data, the VTCI threshold for drought stress varies from year to year depending on the data conditions.…”
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Air pollution, temperature and mumps: A time-series study of independent and interaction effects by Haoyue Cao, Rongrong Xu, Xiqian Lu, Wenguo Jiang, Lihua Wang, Miao Yu, Wenjun Wang, Juxiang Yuan

“…This time-series study was conducted in Jining city using data on daily mumps cases, meteorological factors and air pollutants obtained from 2015 to 2021. …”
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Gaseous Pollutants and Particulate Matter in Ambient Air: First Field Experiment in an Urban Mediterranean Area (Nador, Morocco) by Bouchra Oujidi, Abdelfettah Benchrif, Mounia Tahri, Fatiha Zahry, Moussa Bounakhla, Hocein Bazairi, Nadia Mhammdi, Maria Snoussi

“…Abstract Mediterranean urban areas are reportedly affected by poor air quality due to numerous emission sources, as well as topography and meteorological conditions that facilitate the accumulation of pollution. …”
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Influence of Basin Hydrogeology in the Detectability of Narrow Rivers by Sentinel2-A Satellite Images: A Case Study in Karamenderes (Çanakkale) by Muhittin Karaman, Emre Özelkan, Suat Taşdelen

“…It was revealed that the selection of the date of satellite images to be used according to the hydro-meteorological characteristics (flow, precipitation, temperature, etc.) of the basin increased the success of determining water components with narrow river bed.…”
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The Effects of North Atlantic Oscillation on the atmospheric middle level Anomaly and precipitation of Iran.Case study: west of Iran. by Meysam Toulabi Nejad, ZAHRA Hejazizadeh, Atefeh Bosak, nasrin bazmi

“…To do this, first monthly rainfall data of 17 synoptic stations of the West Country in period of 30 years from 1984 to 2014 of country were collected from Meteorological Organization. As well as North Atlantic Oscillation data and anomalies geopotential height data, sea level pressure and precipitation were received from NOAA. …”
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Reflections on the Impact of Extreme Weather on New Power Systems and Countermeasures by Chen CAO, Zengping WANG

“…In addition, the paper points out the significance of strengthening in-depth integration of power systems and meteorological systems for enhancing risk prediction and dynamic response capabilities of the system, thus providing scientific basis and technical support for improving the system resilience.…”
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Examining different approaches for short-term load demand forecasting in microgrid management: a case study of a university in Nigeria by Barnabas Iliya Gwaivangmin

“…Leveraging 6 years of historical load data from the Jos Electricity Distribution Company (JEDC) and weather data from the Nigerian Meteorological Agency (NIMET), the research demonstrated that both RG and ARIMA outperformed SVM, exhibiting lower Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) values. …”
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Investigating the quality of Karst water resources: A case study on Fars Namdan plain by Mohammadsadegh Talebi

“…The research data consists of meteorological, hydrological, topographic and geological maps and statistics. …”
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Validation of summer temperature interpolation methods in northeastern Iran by hamid salehi, Muhammad motamedi, Ezatollah mafi

“…The study area in this study is northeastern Iran, including the provinces of Khorasan Razavi and North Khorasan, and monthly summer temperature data were used for 21 synoptic and evaporative stations in the northeast belonging to the Meteorological Organization and the Ministry of Energy with appropriate distribution. …”
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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

“…A 30-year dataset of monthly meteorological observations (1988–2018) from the Kermanshah synoptic station in Iran served as the basis for this analysis, incorporating variables such as temperature, relative humidity, solar exposure, wind speed, and rainfall. …”
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The Outlook of Precipitation Changes in the Great Karoun Using by CMIP5 series models by zeinab mokhayeri, Ebrahim fatahi, Reza Borna

“…To conduct this research, data on monthly synoptic and hydrometric precipitation observations from the National Meteorological Organization and the Ministry of Energy were obtained for a 30-year period (1976-2005). …”
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Assessment of multidecadal precipitation seasonality in the panama canal watershed by István Gábor Hatvani, Nayara Azevedo de Castro Souza, Russell S. Harmon, Jorge A. Espinosa, Zoltán Kern

“…Study Focus: This study provides insight into the spatiotemporal behavior of precipitation across the PCW11 Panama Canal Watershed utilizing 6-day rainfall records from 29 meteorological stations from 1950 to 2019. The focus interval of 2000–2017 offered the most complete spatiotemporal coverage of the long-term seasonal variability explored by hierarchical cluster analysis. …”
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Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem by Di Wei, Lin Yan, Ziqi Zhang, Jia Yu, Xue’er Luo, Yun Zhang, Bo Wang

“…This study integrates MODIS remote sensing images and ERA5-Land meteorological reanalysis datasets to establish a ternary system encompassing NDVI, soil moisture, and snowmelt. …”
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Monitoring the earth surface temperature and relationship land use with surface temperature using of OLI and TIRS Image by sayyad asghari, hadi emami

“…Due to the limitation of meteorological stations, remote sensing can be an appropriate alternative to the Earth's surface temperature. …”
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Spatiotemporal Changes and Trade-Offs/Synergies of Ecosystem Services in the Qin-Mang River Basin by Jiwei Zhao, Luyao Wang, Dong Jia, Yaowen Wang

“…This study, based on land use type (LUT), and meteorological and soil data from 1992 to 2022, combined with the InVEST model, correlation analysis, and spatial autocorrelation analysis, explores the impacts of land use/land cover changes (LUCCs) on ESs. …”
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