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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Anthropological view of plague epidemics in the his­torical past by T.F. Khaydarov, D.A. Dolbin

“…They have remained unrevised despite the latest achievements in the research on the plague bacterium Yersinia pestis, the history of climate and medicine, and the extensive published data, making it of an interest to both reconsider certain established dogmas and reconstruct the algorithm of the course of major plague epidemics from the historical past using the results of the available paleogenetic, epidemiological, and climatological studies. This triggered our discussion on the nonlinear nature of the course of plague pandemics. …”
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Do atmospheric rivers trigger tabular iceberg calving? by Tristan Scott Rendfrey, Jeremy Bassis, Claire Pettersen

“…We find that ~80% of the calving events in our study occur when metrics of IVT are less than the 90th percentile of their monthly climatologies. However, the remaining ~20% of calving events that occur during periods with short-term enhanced IVT exhibit a statistically significant correlation. …”
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Global Maps of Equatorial Plasma Bubbles Depletions Based on FORMOSAT‐7/COSMIC‐2 Ion Velocity Meter Plasma Density Observations by Irina Zakharenkova, Iurii Cherniak, John J. Braun, Qian Wu

“…We present first FORMOSAT‐7/COSMIC‐2 derived climatological characteristics of the post‐sunset and post‐midnight EPBs occurrence probability and their apex altitudes during a period of low solar activity. …”
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One‐Dimensional Variational Ionospheric Retrieval Using Radio Occultation Bending Angles: 1. Theory by I. D. Culverwell, S. B. Healy, S. Elvidge

“…This new, general retrieval method is applicable to both standard GNSS‐RO retrieval problems, and the truncated geometry of EUMETSAT's Metop Second Generation (Metop‐SG), which will provide GNSS‐RO measurements up to about 600 km above the surface. The climatological a priori information used in the 1D‐Var is effectively a starting point for the 1D‐Var minimization, rather than a strong constraint on the final solution. …”
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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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Relações entre o clima e saúde: o caso da dengue no Rio Grande do Sul no período de 2007 a 2017 by Erika Collischonn, Vincent Dubreuil, Francisco de Assis Mendonça

“…The secondary data used for the analysis were: the monthly values of temperature, precipitation and their climatological norm (1961-1990) for 16 meteorological stations (INMET) distributed within the state; confirmed cases of indigenous dengue fever for 19 regional health coordinations per year (SINAN Net-RS); monthly sea surface temperature anomalies according to Niño 3.4 (NOAA / CPC) and ENSO events by year. …”
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Shifts in Planting Date and Change in Length of Growing Season in Yazd Province Under Warmer Climate Conditions by Mansuoreh Kohi, Ebrahim Fattahi, Ebrahim Asadi Oskouei

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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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Disentangling the Roles of Climate Variables in Forest Fire Occurrences in China by Chenqin Lian, Zhiming Feng, Hui Gu, Beilei Gao

“…Here, using GIS spatial analysis, Pearson correlation, and geographical detector, the climate drivers of forest fires in China are revealed using the 2003–2022 active fire data from the MODIS C6 and climate products from CHELSA (Climatologies at high resolution for the Earth’s land surface areas). …”
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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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