The Interannual Variability of Global Burned Area Is Mostly Explained by Climatic Drivers by Andrina Gincheva, Juli G. Pausas, Miguel Ángel Torres‐Vázquez, Joaquín Bedia, Sergio M. Vicente‐Serrano, John T. Abatzoglou, Josep A. Sánchez‐Espigares, Emilio Chuvieco, Sonia Jerez, Antonello Provenzale, Ricardo M. Trigo, Marco Turco

“…Our findings indicate that same‐season weather conditions have a more pronounced relationship with BA across various ecoregions, particularly in climatologically wetter areas. Additionally, we note that BA is also significantly associated with periods of antecedent wetness and coolness, with this association being especially evident in more arid ecoregions. …”
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Science highlights from the Kjell Henriksen Observatory on Svalbard by Katie Herlingshaw, Noora Partamies, Charlotte M. van Hazendonk, Mikko Syrjäsuo, Lisa J. Baddeley, Magnar G. Johnsen, Nina K. Eriksen, Ian McWhirter, Anasuya Aruliah, Mark J. Engebretson, Kjellmar Oksavik, Fred Sigernes, Dag A. Lorentzen, Takanori Nishiyama, Matthew B. Cooper, John Meriwether, Stein Haaland, Daniel Whiter

“…The Auroral Station and KHO have amassed climatological measurements over Svalbard for an impressive 40-year period. …”
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High-Resolution Monthly Precipitation Fields (1913–2015) over a Complex Mountain Area Centred on the Forni Valley (Central Italian Alps) by Golzio Alessio, Crespi Alice, Irene Maria Bollati, Senese Antonella, Guglielmina Adele Diolaiuti, Pelfini Manuela, Maugeri Maurizio

“…We set up a model based on monthly homogenised precipitation series and we spatialised climatologies and anomalies on a 30-arc-second-resolution DEM, using Local Weighted Linear Regression (LWLR) and Regression Kriging (RK) of precipitation versus elevation, in order to test the most suitable approach for this complex terrain area. …”
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Historical rainstorm in Hong Kong on 7–8 September 2023: Diagnosis, forecasting and nowcasting by Hiu Ching Tam, Yu‐Heng He, Pak Wai Chan, Shiwei Yu, Huisi Mo, Hui Su, Ling‐Feng Hsiao, Yangzhao Gong

“…The only indication may come from the climatologically extreme total precipitable water. While recent research of developing a regional risk‐based alerting system on the higher impact event of flooding associated with heavy rain might have potential to enhance the weather service, and emerging AI model showed some promising post‐simulations, predicting historical and record‐breaking rainstorms remains a challenge for operational weather forecasting and warning services.…”
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Seasonality, Interannual Variability, and Linear Tendency of Wind Speeds in the Northeast Brazil from 1986 to 2011 by Alexandre Torres Silva dos Santos, Cláudio Moisés Santos e Silva

“…The objective of the study was to investigate climatological aspects and wind speed trends. To this end, the following methods were used: filling of missing data, descriptive statistical calculations, boxplots, cluster analysis, and trend analysis using the Mann-Kendall statistical method. …”
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Coupling adaptation mode and regulation strategy for the wind–thermal climate environment of vernacular dwellings in Jiangnan, China based on regional bioclimatic evaluation by Tianyi Min, Tong Zhang

“…Second, the wind-thermal climate adaptation mechanism was comprehensively interpreted from climatological situation, space configuring type, climate space gradient and climate regulation interface four perspectives. …”
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Uterine prolapse and related factors in beef cow at the Besuki Animal Health Center, Situbondo regency, East Java, Indonesia by Kevin Mardotillah, Suzanita Utama, Erma Safitri, Herry Agoes Hermadi, Sri Pantja Madyawati, Djoko Legowo, Abdullah Hasib

“…Determination of the months of the rainy and dry season was obtained from the Meteorological, Climatological and Geophysical Agency, Juanda Class I Meteorological Station. …”
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A Dynamic Analysis of the Role of the Planetary- and Synoptic-Scale in the Summer of 2010 Blocking Episodes over the European Part of Russia by Anthony R. Lupo, Igor I. Mokhov, Merseid G. Akperov, Alexander V. Chernokulsky, H. Athar

“…Using the National Centers for Atmospheric Research (NCAR), National Centers for Environmental Prediction (NCEP) reanalysis datasets, the climatological and dynamic character of blocking events for summer 2010 and a precursor May blocking event were examined. …”
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Bridging the gap: rescuing and digitizing historical meteorological records by Kofi Asare, Nana Ama Browne Klutse, Stephen Aboagye-Ntow, Caroline Edinam Doe, Antwi-Boasiako Amoah, Eric Asuman, Martin Addi, Benjamin Adjetey Wemegah

“…The study involved 200 stations, spanning 130 districts, with the primary goal of rescuing and digitizing climatological data. The number of rainfall stations has reduced from 518 in 1976 to 87 in 2021, while the number of temperature stations have decreased from 138 in 1976 to 40 in 2021. …”
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Impacts of tropical cyclones on extreme precipitation and flooding in a humid subtropical inland basin of China by Huishan Chen, Longfei Han, Yuying Tang, Juan Chen, Chaogui Lei, Xichun Li

“…This study provided a climatological view of TCs, TC-induced EPEs and flooding in the Xiangjiang basin over the past nearly 70 years, and examined their relationships with ENSO using data from 127 meteorological stations, 22 hydrological stations, and TC tracks. …”
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LAND SUITABILITY ANALAYSIS OF SESAME CROP USING GIS TECHNIQUES by Ramesh Kumar Ghimire, Anuj Dhakal, Amir Pandit, Pragyan Ghimire, Sagar Pokharel

“…The research findings underscore the significance of climatological factors (55.8%), topography (31.96%), and soil attributes (12.196%) in determining sesame production suitability. …”
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Automatic Threshold Selection for Generalized Pareto and Pareto–Poisson Distributions in Rainfall Analysis: A Case Study Using the NOAA NCDC Daily Rainfall Database by Roberto Mínguez

“…The findings emphasize the practical implications of the method for analyzing extreme rainfall events and its potential for broader climatological studies.…”
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Application of Extreme Learning Machine Algorithm for Drought Forecasting by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Zulfiqar Ali, Ijaz Hussain, Fuad S. Al-Duais

“…For numerical evaluation, time series data of the Standardized Precipitating Temperature Index (SPTI) are used for nine meteorological stations located in various climatological zones of Pakistan. To assess the performance of ELM, this research includes parallel inferences of multilayer perceptron (MLP) and autoregressive integrated moving average (ARIMA) models. …”
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A regional site response analysis of the Petobo area after the 2018.09.28 Palu–Donggala Indonesia earthquake using an equivalent-linear model by Rini Kusumawardani, Muhsiung Chang, Togani Cahyadi Upomo, Fernando Lopez-Caballero, Dadang Permana

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Intensification of Natural Disasters in the State of Pará and the Triggering Mechanisms Across the Eastern Amazon by Everaldo B. de Souza, Douglas B. S. Ferreira, Luciano J. S. Anjos, Alan C. Cunha, João Athaydes Silva, Eliane C. Coutinho, Adriano M. L. Sousa, Paulo J. O. P. Souza, Waleria P. Monteiro Correa, Thaiane S. Silva Dias, Alexandre M. C. do Carmo, Carlos B. B. Gutierrez, Giordani R. C. Sodré, Aline M. M. Lima, Edson J. P. Rocha, Bergson C. Moraes, Luciano P. Pezzi, Tercio Ambrizzi

“…A clear seasonal pattern was observed, with Hydrological disasters (Inundations, Flash floods, and Heavy rainfall) peaking between February and May, while Climatological disasters (Droughts and Forest fires) were most frequent from August to October. …”
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Evaluation of CMIP5 Global Climate Models over the Volta Basin: Precipitation by Jacob Agyekum, Thompson Annor, Benjamin Lamptey, Emmannuel Quansah, Richard Yao Kuma Agyeman

“…The Community Earth System Model, version 1-Biogeochemistry (CESM1-BGC), the Community Climate System Model Version 4 (CCSM4), the Max Planck Institute Earth System Model, Medium Range (MPI-ESM-MR), the Norwegian Earth System Model (NorESM1-M), and the multimodel ensemble mean were able to simulate the observed climatological mean of the annual total precipitation well (average biases of 1.9% to 7.5%) and hence were selected for the seasonal and monthly timescales. …”
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LAND SUITABILITY ASSESSMENT FOR SOYBEAN (GLYCINE MAX) IN BARDAGHAT MUNICIPALITY USING GIS TECHNIQUES by Birendra Tiwar, Amrit Dumre, Mahesh Jaishi

“…The research findings underscored the critical importance of Climatological factors (58.115%), Topographical features (30.9%), and Edaphological conditions (10.94%) in determining the suitability of land for soybean production. …”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…CGANs are considerably more skillful in capturing climatological statistics, including the distribution and spatial characteristics of extreme events. …”
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The potential for fuel reduction to reduce wildfire intensity in a warming California by Patrick T Brown, Scott J Strenfel, Richard B Bagley, Craig B Clements

“…We then place these weather snapshots in differing background climatological temperature and fuel characteristic conditions to quantify their independent and combined influence on FIP. …”
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Spatio-temporal rainfall variability and trends using a Kriging-interpolation and Innovative trend analysis approach: the case of Wolaita zone, south Ethiopia by Elias Bojago

“…This information is helpful when attempting to associate development and cropping systems with temporal and spatial climatic patterns with respect to rainfall for agro-climatological activities and projects or flood regulatory measures.…”
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