Land use land cover change as a casual factor for climate variability and trends in the Bilate River Basin, Ethiopia. by Samuel Shibeshi Bikeko, Dr E Venkatesham

“…Utilizing multispectral satellite imagery from Landsat 5, 7, and 8, along with meteorological data from five stations, LULC was classified using the Random Forest algorithm on the Google Earth Engine platform. …”
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Automated Detection of coronaL MAss Ejecta origiNs for Space Weather AppliCations (ALMANAC) by Thomas Williams, Huw Morgan

“…In particular, we plan to link the Automated detection of coronaL MAss ejecta origiNs for space weather AppliCations (ALMANAC) method to the CME detection and characterization module of the Space Weather Empirical Ensemble Package, which is a fully automated modular software package for operational space weather capability currently being developed for the UK Meteorological Office. In this work, ALMANAC is applied to observations by the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamics Observatory (SDO). …”
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Improving the resilience of urban transportation to natural disasters: the case of Changchun, China by Ziyang Wan, Qiuling Lang, Yichen Zhang, Jiquan Zhang, Yanan Chen, Gexu Liu, Huanan Liu

“…The vulnerability, exposure, and emergency recovery capacity of the transport system in Changchun were analyzed by constructing a comprehensive assessment framework combining multi-criteria decision analysis (MCDM) and geographic information system (GIS). Based on the meteorological and traffic data of Changchun City in the past 10 years, key indicators such as traffic network density, emergency resource distribution, traffic flow, and extreme weather frequency were selected in this study. …”
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Sensitivity of global solar irradiance to transposition models: Assessing risks associated with model discrepancies by Yasser F. Nassar, Hala J. El-Khozondar, Mohamed M. Khaleel, Abdussalam A. Ahmed, Abdulgader H. Alsharif, Monaem Elmnifi, Mark Amoah Nyasapoh

“…Global and sky-diffuse horizontal irradiances are measured by meteorological stations and satellites. Global horizontal solar irradiance is converted into a global tilted solar irradiance using transposition models (TMs). …”
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ASHLEY: A New Empirical Model for the High‐Latitude Electron Precipitation and Electric Field by Qingyu Zhu, Yue Deng, Astrid Maute, Liam M. Kilcommons, Delores J. Knipp, Marc Hairston

“…ASHLEY consists of three components, ASHLEY‐A, ASHLEY‐E, and ASHLEY‐Evar, which are developed based on the electron precipitation and bulk ion drift measurements from the Defense Meteorological Satellite Program (DMSP) satellites during the most recent solar cycle. …”
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Temperature variability and its effect on seasonal yield of rice in Bangladesh: a long-term trend assessment by Md. Abdullah Al Mamun, Md. Abdur Rouf Sarkar, Mou Rani Sarker, Andrew M. McKenzie, Sheikh Arafat Islam Nihad, Md. Arafat Hossain, Akbar Hossain

“…Our study addresses this gap by analyzing temperature data from 35 meteorological stations (1970-2020) using parametric and nonparametric methods. …”
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HVSR Analysis of Rockslide Seismic Signals to Assess the Subsoil Conditions and the Site Seismic Response by Alessia Lotti, Veronica Pazzi, Gilberto Saccorotti, Andrea Fiaschi, Luca Matassoni, Giovanni Gigli

“…The available data allowed an extensive comparison between seismic signals, displacement, and meteorological information. The measured displacements are well correlated with the precipitation trend, but unfortunately no resemblance with the seismic data was observed. …”
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Research on Runoff Simulation of Arid Oasis Irrigation Area Based on SWAT Model by JIANG Mengyao, WANG Shuixian, ZHAO Zhigang

“…In order to study the runoff changes in the arid oasis irrigation area,this paper constructs a distributed hydrological model of Yanqi Basin based on SWAT model with the Chinese meteorological assimilation driving datasets (CMADS) from 1955 to 2017,traditional hydrometeorological station data,land use data,soil data,digital elevation data,analyzes the sensitivity of parameters by SUFI-2 (Sequential Uncertainty Fitting) algorithm,calibrates several important parameters influencing runoff simulation results through SWAT-CUP (SWAT Calibration Uncertainty Procedures) software,and verifies the model by the measured runoff from 1991 to 2017.The results show that:the simulated runoff of Yanqi Basin in Xinjiang for a long time scales coincides with the measured runoff.During the calibration period and verification period,the Nash coefficient (NES) is above 0.82,the Pearson correlation coefficient (R²) is 0.86 and 0.90 respectively,and the relative error (R_e) is less than 10.Therefore,SWAT model is well applicable to the runoff simulation of Yanqi Basin.Based on this,runoff changes from 2016 to 2100 in Yanqi Basin under the scenarios of RCP4.5 and RCP8.5 are simulated.It can be found that precipitation changes in Kaidu River basin have a significant impact on runoff in Yanqi Basin,that is,when precipitation increases by 20% and temperature increases by 2°C,the runoff increases by 26.53% compared with the current year.…”
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Long-Term Statistical Analysis of Severe Weather and Climate Events in Greece by Vassiliki Kotroni, Antonis Bezes, Stavros Dafis, Dimitra Founda, Elisavet Galanaki, Christos Giannaros, Theodore Giannaros, Athanasios Karagiannidis, Ioannis Koletsis, George Kyros, Konstantinos Lagouvardos, Katerina Papagiannaki, Georgios Papavasileiou

“…This paper analyzes severe weather events and trends in Greece from 2010 to 2023, leveraging data from an expanded network of weather stations spanning across Greece, as well as long-term meteorological data from the reference weather station in the center of Athens. …”
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Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro... by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

“…Under the condition of lacking meteorological forecast data, this paper proposes to utilize a temporal convolutional network (TCN) to extract the coupled spatial features among multivariate loads. …”
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Analysis of heating degree day requirments changes under climate change in South Khorasan by hossein Imani pour, abdolreza Kashki, mokhtar Karami

“…For this purpose, daily data from the minimum and maximum temperature of 11 stations of the South Khorasan province were received from the Meteorological Organization of Iran during the period of 1990-2015. …”
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Improving the Forecast Accuracy of PM_2.5 Using SETAR-Tree Method: Case Study in Jakarta, Indonesia by Dinda Ayu Safira, Heri Kuswanto, Muhammad Ahsan

“…The results showed that: (1) SETAR-Tree outperformed LSTM, achieving lower RMSE (0.1691 in-sample, 0.2159 out-sample) and MAPE (2.83% in-sample, 2.98% out-sample) compared to LSTM’s RMSE (0.2038 in-sample, 0.2399 out-sample) and MAPE (3.48% in-sample, 4.05% out-sample); (2) SETAR-Tree demonstrated better responsiveness to sudden regime changes, capturing complex pollution patterns influenced by meteorological and anthropogenic factors; (3) PM_2.5 in Jakarta often exceeds the WHO limits, highlighting this study’s importance in supporting strategic planning and providing an early warning system to reduce outdoor activity during extreme pollution.…”
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FTA: A Feature Tracking Empirical Model of Auroral Precipitation by Chen Wu, Aaron J. Ridley, Anna D. DeJong, Larry J. Paxton

“…Predictions from the FTA and two other auroral models were compared to the measurements by the Defense Meteorological Satellite Program Special Sensor Ultraviolet Spectrographic Imagers (SSUSI) on March 17, 2013. …”
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Multivariate analysis of long-term climate data in connection with yield, earliness and the problem of global warming by V. M. Efimov, D. V. Rechkin, N. P. Goncharov

“…This article presents the results of a multivariate analysis of meteorological extremes which caused crop failures in Eastern and Western Europe in last 2600 years according to chronicle data and paleoreconstructions as well as reconstructions of heliophysical data for the last 9000 years. …”
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Sensitivity of physical parameterization of WRF model in urban climate simulation and Heat Island mitigation in a stable atmospheric condition (case study: Tehran and Alborz provin... by fahimeh shakeri, gholamabbas Fallah ghalhari, hashem akbari, zahra hejazizadeh

“…In this research, the sensitivity of the meteorological elements (such as mean temperature, relative humidity and wind speed) to different physical parameterizations in the numerical forecast model (WRF) was evaluated to simulate the climate of the city and adjust the Urban Heat Island of the study area.To study urban environmental issues, the Urban Canopy Model (UCM) was coupled to the WRF model. …”
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Multi-Sensor Instrument for Aerosol In Situ Measurements by Ilya Bruchkouski, Artur Szkop, Jakub Wink, Justyna Szymkowska, Aleksander Pietruczuk

“…This assessment was supported by simultaneous measurements from two reference instruments (APS 3321 and SMP S3082), along with auxiliary observations from a ceilometer and meteorological station. To enhance particle transmission efficiency to the IAMU sensors, aerodynamic modeling of the inlet pipes was performed, accounting for particle density and diameter. …”
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Forest fire risk assessment model optimized by stochastic average gradient descent by Zexin Fu, Adu Gong, Jinhong Wan, Wanru Ba, Haihan Wang, Jiaming Zhang

“…The model is based on the Regional Disaster System Theory (RDST), and incorporates 11 indicators of meteorological, vegetation, and human activity factors from the aspects of hazard-formative factor, hazard-formative environment, and hazard-affected body, and achieves a prediction accuracy of 94.38% and a coefficient of determination of 0.9581 when compared with historical data and the Global Fire Weather Index (FWI). …”
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Temporal and Spatial Variation Characteristics of Base Flow and Its Influencing Factors in Middle and Lower Reaches of Yangtze River by JIANG Lei, HE Ya'nan, GU Xihui

“…Based on the daily runoff data and meteorological data of 64 hydrological stations in the middle and lower reaches of the Yangtze River, the base flow segmentation results of three digital filtering methods (Lyne-Hollick method, Chapman-Maxwell method, and Eckhardt Method) and smoothing minimum method were compared, and the driving factors of base flow and base flow index changes were analyzed from the aspects of climate and underlying surface factors. …”
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Study of air pollution of Isfahan based on NO2 measured data by OMI Satellite sensor by Atefeh Shahmohammadi, Ali Bayat, Saeed mashhadizadeh Maleki

“…In this paper, daily data of nitrogen dioxide from Ozone Monitoring Instrument (OMI) satellite sensor, wind and surface temperature of Isfahan Meteorological Station data were used between October 2004 and May 2016. …”
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Paradigm Shift in Typhoon Forecasting for the Korean Peninsula: A Case Study on the Applicability of the Typhoon-Ready System by Hana Na, Woo-Sik Jung

“…The TRS framework incorporates indices, such as the Strong Wind Index (SWI), Heavy Rainfall Index (HRI), Storm Surge Index (SSI), and Air Quality Index (AQI), effectively combining meteorological modeling with vulnerability analysis. Results demonstrate that the TRS outperforms traditional systems by accurately identifying high-risk zones and correlating them with observed damage patterns. …”
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