Rural Household Perception of Drought Occurrence and Its Influence on Livelihood Strategy in Northeast Ethiopia by Sisay Demeke Molla, Menberu Teshome Zeleke, Sisay Misganaw Tamiru

“…Household perceptions of temperature changes match meteorological records, but their perceptions of rainfall changes do not. …”
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Seasonal variation of different seminal parameters of breeding buffalo bulls by Hasan Riaz

“…Climatic data was also collected from the Regional Meteorological Center, Sahiwal, during the study period. …”
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Rapid Flood Monitoring Using Sentinel-1 and Landsat-8 Images (Case study: Kashkan River, Poldakhter City) by Peyman Peymankhah, Sara Attarchi, Meysam Moharrami

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A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention by Gang Chen, Shen Chen, Dong Li, Cai Chen

“…The complex nature of pollutant data is influenced by fluctuating meteorological conditions, diverse pollution sources, and propagation processes, underscores the crucial importance of the spatial and temporal feature extraction for accurately predicting air pollutant concentrations. …”
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Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

“…In this study, satellite observations of TOA reflectance and AOD from the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite in 2016 over Yangtze River Delta (YRD) and meteorological data are used to estimate hourly PM2.5 based on four different machine learning algorithms (i.e., random forest, extreme gradient boosting, gradient boosting regression, and support vector regression). …”
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Spaciotemporal distribution characteristics of glacial lakes and the factors influencing the Southeast Tibetan Plateau from 1993 to 2023 by Yu Mingwei, Guo Yonggang, Zhang Jian, Li Feng, Su Libin, Qin Deshun

“…Using Google Earth Engine (GEE) data in conjunction with meteorological data, this study examined the variation characteristics of glacial lakes in southeastern Tibet from 1993 to 2023. …”
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Groundwater Potential Assessment Using Integrated Geospatial and Analytic Hierarchy Process Techniques (AHP) in Chemoga Watershed, Upper Blue Nile Basin, Ethiopia by Samuel Berihun Kassa, Fasikaw Atanaw Zimale, Arega Mulu, Tadege Aragaw Worku, Mindesilew Lakew Wossene, Taye Minichil Meshesha, Yoseph Buta Hailu, Tadele F. Aman, Mekash S. Kifelew, Habtamu Asrat Mekonnen

“…Data was gathered from satellite imagery, existing thematic maps, local water offices, and national meteorological agencies. The integration of these thematic maps was performed through a weighted overlay analysis using ArcGIS 10.8, which resulted in the delineation of groundwater potential zones (GWPZ). …”
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High‐Latitude Electrodynamics Specified in SAMI3 Using AMPERE Field‐Aligned Currents by A. T. Chartier, J. D. Huba, D. P. Sitaram, V. G. Merkin, B. J. Anderson, S. K. Vines

“…The new AMPERE/SAMI3 solutions are compared against independent GPS‐based TEC observations from the Multi‐Instrument Data Analysis Software (MIDAS) by Mitchell and Spencer (2003), and against Defense Meteorological Satellite Program (DMSP) ion drift data. …”
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Forest Fire Discrimination Based on Angle Slope Index and Himawari-8 by Pingbo Liu, Gui Zhang

“…In the background of high frequency and intensity forest fires driven by future warming and a drying climate, early detection and effective control of fires are extremely important to reduce losses. Meteorological satellite imagery is commonly used for near-real-time forest fire monitoring, thanks to its high temporal resolution. …”
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Correction of CAMS PM₁₀ Reanalysis Improves AI-Based Dust Event Forecast by Ron Sarafian, Sagi Nathan, Dori Nissenbaum, Salman Khan, Yinon Rudich

“…A correction model that links pixel-wise errors with atmospheric and meteorological variables was taught using gradient-boosting algorithms. …”
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INTEGRATING INDOOR THERMAL COMFORT OPPORTUNITIES FROM TRADITIONAL BUILDING TYPES INTO THE DELIVERY AND MANAGEMENT OF SUSTAINABLE BUILT ENVIRONMENTS by Marcellinus Uwadiegwu OKAFOR

“…The primary data were got from field observations made for 366 days (1 November 2015 – 31 October 2016) on the indoor and outdoor temperature and relative humidity values using Tinytag Explorer 4.9 Germini data loggers and secondary data from the nearest Meteorological Station, Imo State International Cargo Airport, Owerri, Nigeria. …”
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Rural-urban transformation shapes oasis agriculture in Morocco’s High Atlas Mountains by Youness Boubou, Kira Fastner, Andreas Buerkert

“…Surveys on agricultural practices, census, and meteorological data were combined with GIS (Geographical Information System) -based analyses to examine land use and cropping pattern changes of 625 fields from 1967 to 2022. …”
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Extreme Air Pollution Events Spiking Ionic Levels at Urban and Rural Sites of Indo-Gangetic Plain by Manisha Mishra, U. C. Kulshrestha

“…These changes, which were corroborated by observations of the meteorological conditions, played an essential role in the wintertime atmospheric chemistry. …”
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Quantifying the benefits of incorporating biochar in green roof substrates: field study on the highrise rooftop in temperate climate setting by Marek Petreje, Michal Sněhota, Václav Šípek, Tereza Hnátková, Jan Punčochář, Stanislav Buchtelík, Michael Hardman, Lukáš Trakal

“…Laboratory hydrophysical analysis, in-situ Volumetric Water Content and meteorological measurements, alongside vegetation monitoring, enabled the development of a 1D Hydrus water balance model and revealed differences between both of the surveyed green roofs. …”
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Environmental consequences of oil and gas extraction on the example of the Bytkiv-Babchenskyi Oil and Gas Field by O. Mandryk, M. Orfanova, Yu. Hrybinyk, M. Stakh, V. Zaritskyi

“…The following methods were used: observation, measurement of environmental indicators, meteorological and physical field parameters, and laboratory analysis methods. …”
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Characteristics and mechanism of MBT anomaly of Karakum desert related with the Hindu Kush earthquake by Yifan Ding, Ziqing Wang, Yuan Qi, Wenfei Mao, Qiqi Zhang, Lixin Wu

“…Validating with multi-source auxiliary data such as surface temperature (ST), microwave polarization difference index (MPDI), soil moisture (SM), rainfall and snowfall, we confirmed the positive MBT anomaly appeared in the Karakum Desert from January 10 to January 13 was attributed to the seismic activity but not meteorological factors. The upward transfer of P-hole particles, activated in the deep hypocenter area by accumulated crustal stress during the pre-, co- and after-EQ period, to the Quaternary surface along the stress gradient, was believed to have reduced the local ground surface dielectric constant and amplified the microwave radiation, which leading subsequently to the positive MBT anomalies. …”
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Seamless monitoring of marine heatwaves: capability of gap-filled, geostationary satellite sea surface temperature data by Seonju Lee, Myung-Sook Park

“…To address this limitation, we applied Data Interpolating Empirical Orthogonal Functions (DINEOF) to hourly GEO-KOMPSAT-2A/Advanced Meteorological Imager (GK2A/AMI) SST data to produce gap-filled SST datasets. …”
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Impacts of Chemical Initial Conditions in the WRF-CMAQ Model on the Ozone Forecasts in Eastern China by Tangyan Hou, Shaocai Yu, Yaping Jiang, Xue Chen, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Pengfei Li, Jianmin Chen, Xiaoye Zhang

“…The influences of different chemical initial conditions on the O3 forecasts are presented by using two sets of meteorological data (NCEP Final Operational Global Analysis [FNL] and Global Forecast System [GFS]) as initial conditions (IC) and boundary conditions (BC) to drive the WRF/CMAQ model. …”
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Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates by Siham Acharki, Ali Raza, Dinesh Kumar Vishwakarma, Mina Amharref, Abdes Samed Bernoussi, Sudhir Kumar Singh, Nadhir Al-Ansari, Ahmed Z. Dewidar, Ahmed A. Al-Othman, Mohamed A. Mattar

“…The FAO-56 Penman-Monteith (PM-FAO56) model, a widely endorsed approach for RET estimation, often encounters limitations due to the lack of complete meteorological data. This study evaluates the performance of eight empirical models and four machine learning (ML) models, along with their hybrid counterparts, in estimating daily RET within the Gharb and Loukkos irrigated perimeters in Morocco. …”
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Trends and periodicities in Krishna Basin rainfall/extremes found via hierarchical analysis by Gaurav Pakhale, Rakesh Khosa, A.K. Gosain

“…This study examines trends in long-term rainfall and extreme event indices in the Krishna River Basin (KRB) using Indian Meteorological Department (IMD) 0.25° resolution daily precipitation data from 1951 to 2019. …”
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