Analysis of the Effect of Precipitation Type on Flow Simulation in Talar and Khoramabad Watershed by Mohammad Golshan, Abdollah Pirneia, Payam Ebrahimi, Abazar Esmali Ouri

“…Therefore, the maps of land use, soil, digital elevation model and meteorological data were collected for each region. Hydrological response units (HRU) was determined in 223 in Talar and 265 HRU khorramabad watershed by overlapping spatial layers. …”
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Satellite-Driven Hydrological Modelling in Ungauged Moroccan bassins: Case study Ouzoud river by Zilali Abdessamad, Larabi Abdelkader, Ajdor Youssef

“…Over the past two decades, satellite-driven products, such as ERA5, have become crucial for enhancing precipitation and meteorological measurements, especially in complex terrains and changing climatic conditions. …”
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Significant Midlatitude Bubble‐Like Ionospheric Super‐Depletion Structure (BLISS) and Dynamic Variation of Storm‐Enhanced Density Plume During the 23 April 2023 Geomagnetic Storm... by Ercha Aa, Shun‐Rong Zhang, Shasha Zou, Wenbin Wang, Zihan Wang, Xuguang Cai, Philip J. Erickson, Anthea J. Coster

“…The study utilized a combination of ground‐based observations (Global Navigation Satellite System total electron content and ionosonde) along with measurements from multiple satellite missions (GOLD, Swarm, Defense Meteorological Satellite Program, and TIMED/GUVI) to analyze storm‐time electrodynamics and neutral dynamics. …”
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Comprehensive evaluation and attribution analysis of baseflow variation in a typical karst basin, Southwest China by Chongxun Mo, Changhao Jiang, Shiting Long, Weiyan Cen

“…An adaptive baseflow research system for karst basins was established in this study, including the application of nine baseflow separation methods to reduce uncertainty in baseflow simulations, a more rational determination of annual and intra-annual baseflow characteristics, and an assessment of the impacts of climate change and human activities combining key meteorological elements and socio-economic indicators through the double-mass curve and SCRCQ methods. …”
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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

“…Abstract This study employed air quality and meteorological data as research materials and extracted the optimal feature subset by using the approximate Markov blanket-based normal maximum relevance minimum redundancy (nMRMR) algorithm to serve as the input data of the prediction model. …”
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Intelligence Based Controlling Models for Effective Power Tracking and Voltage Enhancement in Grid-PV Systems by I. E. S. Naidu, T. Padmavathi, S. Venkata Padmavathi, Budidi U. Kumar

“…The proposed control architecture presents a new Fractional Order Proportional-Integral-Derivative Control (FOPTC) technique and its adaptation mechanism for correct MPPT under dynamic variations of meteorological conditions. Consequently, it offers improved energy harvesting because it is able to identify the global maximum power point with higher speed and precision than traditional control techniques that apply hybrid approaches. …”
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Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

“…However, it poses challenges in mountainous areas due to limited accessibility, diverse topographic and physiographic features, and insufficient meteorological stations. To overcome these limitations, remote sensing, which offers multiple advantages like providing information at different scales, extensive coverage, and cost-effectiveness, is employed to assess various snow cover extraction methods in mountainous regions. …”
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Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy) by Alessia Sannino, Mariagrazia D’Emilio, Pasquale Castellano, Salvatore Amoruso, Antonella Boselli

“…The observed features have been associated to the strong meteorological interference from Saharan Dust in the Mediterranean area also affecting the city of Naples.…”
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The role of the cryosphere for runoff in a highly glacierised alpine catchment, an approach with a coupled model and in situ data by Astrid Lambrecht, Christoph Mayer

“…Modelling studies on runoff from such basins often use simulated meteorological input (e.g. downscaling products) based on remote observations. …”
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Study on Spatial and Temporal Variation Laws of Water Yield in Forest Basin of Cold Region ——Taking Yongcui River Basin as an Example by ZHANG Lina, SUN Yingna, HU Jinhui, SHEN Zhipeng

“…In order to study the spatial and temporal variation laws of water yield in the forest basin of the cold region,a SWAT model was established based on the total measured runoff data of 22 years from 1994 to 2015 in Yongcui River Basin.The spatial and temporal characteristics of water yield in the basin were analyzed,and the effects of meteorological factors and land use changes on water yield were discussed.The results show that:① from 1994 to 2015,the interannual water yield in Yongcui River Basin fluctuates obviously, showing an upward trend.The annual water yield shows a unimodal distribution of increasing first and then decreasing;② the spatial distribution of water yield in Yongcui River Basin is generally high in the east and west but low in the middle.Among all land use types,the deciduous forest has the highest water yield,and the evergreen forest has the strongest water-yielding capacity;③ the area of the deciduous forest is the largest in Yongcui River Basin,and the area of forest cover is over 95%.The interannual change of land use types is not obvious,and its influence on water yield is not significant;④ the precipitation,potential evapotranspiration,and actual evapotranspiration in Yongcui River Basin show a decreasing trend in different degrees,and precipitation is the main factor influencing water yield.The results can provide a reference for the optimal allocation of water resources and ecological protection in the forest basin of the cold region.…”
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Decomposition-Based Multistep Sea Wind Speed Forecasting Using Stacked Gated Recurrent Unit Improved by Residual Connections by Jupeng Xie, Huajun Zhang, Linfan Liu, Mengchuan Li, Yixin Su

“…Sea wind speed forecast is important for meteorological navigation system to keep ships in safe areas. …”
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Tracking ablation and movement of icebergs with time-lapse photography at an alpine proglacial lake in Austria by Felix Bernsteiner, Andreas Kellerer-Pirklbauer, Jakob Abermann, Bernhard Hynek

“…Iceberg evolution was quantified for two timescales and related to meteorological as well as glacier ablation data from the adjacent glacier tongue. …”
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Hydrometeorological Variability of Olive Ridley Sea Turtle (<i>Lepidochelys olivacea</i>) Nesting Beaches: Implications for Conservation Practices by Anatoliy Filonov, Enrique Godínez-Domínguez, Iryna Tereshchenko, Cesar O. Monzon, David Avalos-Cueva, María del Refugio Barba-López

“…Atmospheric parameters were modeled using Newton’s Cooling Law and solved with the finite difference method to estimate heat loss rates from beach sand to its surroundings, shedding light on microclimatic effects on incubation and embryonic development. Meteorological data were gathered from an automatic weather station, while sand temperatures were monitored with thermographs. …”
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Multi-Objective Optimization Design for Cold-Region Office Buildings Balancing Outdoor Thermal Comfort and Building Energy Consumption by Fei Guo, Shiyu Miao, Sheng Xu, Mingxuan Luo, Jing Dong, Hongchi Zhang

“…The Pareto optimal solutions, under 2022 meteorological conditions, demonstrate an annual energy efficiency improvement of 16.55%, and the outdoor thermal neutrality ratio increases by 1.11%. …”
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The Artic Oscillation (AO) and its role on of wintertime monthly minimum temperatures variability in Northeastern region of Iran

“…The required statistics, including statistics monthly minimum temperatures for 17 synoptic stations of the under study area was provided from Iran Meteorological Organization’s (IRMO). Pearson correlation analysis as the main method used in this study Show an inverse relationship between minimum temperatures and most selected stations and AO index.The results of this study shows that there is a significant relationship between the AO teleconnection pattern and minimum temperatures of north-east of Iran during the cold season of the year. …”
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Effects of Climate Change on Agricultural Calendar in the North of Iran by mojtaba shahnazari, Zahra Hejazizadeh, Mohammad Saligheh

“…Abstract In this research, while studying climate conditions in the current period and analyzing changes in temperature, precipitation level, and the sunlight received, current conditions were also analyzed based on daily data from synoptic stations in the region, which had meteorological data recorded for at least 30 years. Given the environmental conditions necessary for the growth of rice, the availability of its phenological data, its high-low temperature thresholds, the Degree Day systems needed for the completion of its life cycle, and the phenological processes related to its economic production, a suitable agricultural calendar was specified. …”
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Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations by F. Hellmuth, T. Carlsen, A. S. Daloz, R. O. David, H. Che, T. Storelvmo

“…The biases are very similar for ERA5 and the CMIP6 models, which indicates that the discrepancies in cloud phase and snowfall stem from differences in the representation of cloud microphysics rather than the representation of meteorological conditions. This, in turn, highlights the need for refinements in the models’ parameterizations of cloud microphysics in order for them to represent cloud phase and snowfall accurately. …”
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Development of a fixed-order $$H_{\infty }$$ controller for a robust P&O-MPPT strategy to control poly-crystalline solar PV energy systems by Moussa Sedraoui, Mohcene Bechouat, Ramazan Ayaz, Yahya Z. Alharthi, Abdelhalim Borni, Layachi Zaghba, Salah K. ElSayed, Yayehyirad Ayalew Awoke, Sherif S. M. Ghoneim

“…Performance assessments at STC compare the standard and robust P&O-MPPT strategies, demonstrating the proposed method’s superiority in performance and robustness, especially under sudden meteorological changes and varying loads. Experiment results confirm the new control strategy’s effectiveness over the standard approach.…”
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Temporal Probability Analysis of Flood Occurrence Using Peak Over Threshold Method for Extreme Rainfall Events by Oktaviana Pratnya Paramitha, Syafei Arie Dipareza, Kuswanto Heri, Hermana Joni

“…This study conducts the analysis of temporal probability of flood risk due to extreme rainfall in Jakarta by using data from meteorological stations in Kemayoran (for Central Jakarta) and Tanjung Priok (for North Jakarta) over 30 years (1994-2023). …”
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Improving Electron Density Predictions in the Topside of the Ionosphere Using Machine Learning on In Situ Satellite Data by S. Dutta, M. B. Cohen

“…This research focuses on predicting the electron density in the topside of the ionosphere using satellite data, in particular from the Defense Meteorological Satellite Program, a collection of 19 satellites that have been polar orbiting the Earth for various lengths of times, fully covering 1982 to the present. …”
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