Changes in climate extreme indices and agricultural drought monitoring in the semi-arid areas of Borana zone, southern Ethiopia by Girma Asefa Bogale, Asfaw Kebede Kassa, Mengistu Mengesha Maja

“…Data of daily rainfall, maximum and minimum temperature from 1993 to 2022 were acquired from the National Meteorological Institute of Ethiopia and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). …”
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Effects of fine particulate matter and its chemical constituents on influenza-like illness in Guangzhou, China by Keyi Wu, Weidong Fan, Jing Wei, Jianyun Lu, Xiaowei Ma, Zelin Yuan, Zhiwei Huang, Qi Zhong, Yining Huang, Fei Zou, Xianbo Wu

“…Additionally, data on gaseous pollutants and meteorological conditions were obtained. By using quasi-Poisson regression models, the association between exposure to PM2.5 and its constituents and ILI risk was estimated. …”
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Surface processes and drivers of the snow water stable isotopic composition at Dome C, East Antarctica – a multi-dataset and modelling analysis by I. Ollivier, I. Ollivier, H. C. Steen-Larsen, B. Stenni, L. Arnaud, M. Casado, A. Cauquoin, G. Dreossi, C. Genthon, B. Minster, G. Picard, M. Werner, A. Landais

“…In this study, we use a combination of existing and new datasets of precipitation, snow surface, and subsurface isotopic compositions (<span class="inline-formula"><i>δ</i>¹⁸</span>O and deuterium excess (d-excess)); meteorological parameters; ERA5 reanalyses; outputs from the isotope-enabled climate model ECHAM6-wiso; and a simple modelling approach to investigate the transfer function of water stable isotopes from precipitation to the snow surface and subsurface at Dome C in East Antarctica. …”
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Association between ambient air pollution and outpatient visits of cardiovascular diseases in Zibo, China: a time series analysis by Yamei Wang, Shaoning Qu, Ting Li, Liang Chen, Liping Yang

“…Distributed lag non-linear models (DLNM) including single-pollutant model in single-day (lag0-lag7) and cumulative-days (lag01-lag07), concentration-response curve, subgroup analysis, and double-pollutant model were utilized to examine the relationships of daily air pollutants on CHD, stroke, and arrhythmia. Meteorological factors were incorporated to control confounding.ResultsIn single-pollutant model, NO2 was positively associated with CHD, stroke and arrhythmia, with the strongest excess risks (ERs) of 4.97% (lag07), 4.71% (lag07) and 2.16% (lag02), respectively. …”
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High-resolution mapping of evapotranspiration over heterogeneous cropland affected by soil salinity by Meihan Liu, Huimin Lei, Xingwang Wang, Paula Paredes

“…Extensive datasets, including meteorological parameters, normalized difference vegetation index (NDVI), land surface temperature (LST), reflectance and salinity measurements were extracted across the region in 2017. …”
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A case-crossover study of air pollution exposure during pregnancy and the risk of stillbirth in Tehran, Iran by Nadia Mohammadi Dashtaki, Mohammad Fararouei, Alireza Mirahmadizadeh, Mohammad Hoseini, Mohammad Heidarzadeh

“…The association was adjusted for potential confounding factors including meteorological factors. During the study period in Tehran, 5311 stillbirths were reported. …”
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Concentration of traffic air pollutants and influencing metrological factors in Hawassa City roadways, Ethiopia by Asmare Asrat Yirdaw, Amanuel Ejeso, Samrawit Mokie Belayneh, Lamrot Yohannes, Anmut Endalkachew Bezie, Embialle Mengistie Beyene

“…Kendall’s tau-b correlation analysis suggested that Meteorological parameters (temperature and relative humidity) were positively correlated with traffic air pollutants. …”
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Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021 by Chetna, Surendra K. Dhaka, Gagandeep Longiany, Vivek Panwar, Vinay Kumar, Shristy Malik, A. S. Rao, Narendra Singh, A. P. Dimri, Yutaka Matsumi, Tomoki Nakayama, Sachiko Hayashida

“…The Pearson linear correlation between PM2.5 and meteorological variables was studied using monthly mean data. …”
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Limited Effect of Future Land‐Use Changes on Human Heat Stress and Labor Capacity by Steven J. DeHertog, Anton Orlov, Felix Havermann, Suqi Guo, Iris Manola, Julia Pongratz, Quentin Lejeune, Carl‐Friedrich Schleussner, Inga Menke, Florian Humpenöder, Alexander Popp, Peter Lawrence, George C. Hurtt, Louise Chini, Inne Vanderkelen, Edouard L. Davin, Thomas Reerink, Sonia I. Seneviratne, Hans Verbeeck, Wim Thiery

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Environmental vulnerability characteristics in an active swarm region by A.V.H. Simanjuntak, U Muksin, A. Arifullah, K. Lythgoe, Y. Asnawi, M. Sinambela, S. Rizal, S. Wei

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Sources of PM2.5 exposure and health benefits of clean air actions in Shanghai by Yixuan Gu, Daven K. Henze, Hong Liao

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Assessment of rainfed wheat productivity in a changing climate in Irbid, Jordan using statistical downscaling and Random Forest Regression prediction under RCP4.5 &amp; 8.5 pathway... by Tasnim Dheif Allah Althalaj, Fayha Muhammed Al-Shibli, Amani Abdullah Alassaf

“…The study highlights the need for enhanced adaptation strategies; cultivating resilient wheat varieties, promoting crop rotation, improving meteorological monitoring and risk response approaches, and providing timely weather forecasts to mitigate the adverse effects of climate change on wheat productivity and ensure sustainable agriculture in Jordan.…”
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Analysis of the impact of climate change on the woody plants vegetation in the Botanical Garden of the Ukrainian National Forestry University by Nelia Lukianchuk, Levko Bliusyuk, Nadia Bliusyuk, Nataliіa Kendzora, Liliіa Koliada

“…To analyze climate changes, average monthly quantitative indicators of air temperature and precipitation were calculated using archive data from the Lviv airport meteorological station. The conducted analysis of the dynamics of atmospheric air temperature and the amount of precipitation in Lviv in the period from 2010 to 2023 showed a tendency towards increased droughts, an increase in the number and duration of hot periods. …”
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Reservoir water level decline accelerates ground subsidence: InSAR monitoring and machine learning prediction of surface deformation in the Three Gorges Reservoir area by Jiaer Yang, Jiaer Yang, Pinglang Kou, Pinglang Kou, Xu Dong, Xu Dong, Ying Xia, Qinchuan Gu, Yuxiang Tao, Jiangfan Feng, Qin Ji, Weizao Wang, Ram Avtar

“…This study combines SBAS-InSAR technology and machine learning to analyze and predict surface deformation in Fengjie County, Chongqing, China, between 2020 and 2022, focusing on riverside urban ground, riverside road slopes, and ancient landslides in the reservoir area.MethodsSBAS-InSAR technology was applied to 36 Sentinel-1A images to monitor surface deformation, complemented by hydrological and meteorological data. Machine learning models—Random Forest (RF), Extremely Randomized Trees (ERT), Gradient Boosting Decision Tree (GBDT), Support Vector Regression (SVR), and Long Short-Term Memory (LSTM)—were evaluated using six metrics, including RMSE, R2, and SMAPE, to assess their predictive performance across diverse geological settings.ResultsDeformation rates for riverside urban ground, road slopes, and ancient landslides were −3.48 ± 2.91 mm/yr, −5.19 ± 3.62 mm/yr, and −6.02 ± 4.55 mm/yr, respectively, with ancient landslides exhibiting the most pronounced deformation. …”
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Seasonal Trends, Profiles, and Exposure Risk of PM2.5-bound Bisphenol Analogs in Ambient Outdoor Air: A Study in Shanghai, China by Janvier Munyaneza, Fahim A. Qaraah, Qilong Jia, Hanting Cheng, Huajun Zhen, Guangli Xiu

“…We also noticed that meteorological parameters aren’t the sole deterministic factors influencing the seasonal profiles of BPs.…”
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Temporal and Spatial Patterns of Wind Erosion Climate Indices and Their Responses to Atmospheric and Oceanic Circulation Patterns in the Chinese Mollisol Region over the Past 61 Ye... by HU Wentao, ZHENG Fenli, GAO Xiaoyu, ZHENG Runhe, FU Jinxia, LI Zhi, ZHANG Jiaqiong

“…[Methods] Four wind erosion climate indices, including occurrence frequency of ≥ 5 m/s of threshold wind of transporting sand, daily maximum wind velocity, daily extreme wind velocity and wind erosion climatic erosivity, were selected to address the spatial and temporal patterns of wind erosion climate indices in the spring (March-May) of the Chinese Mollisol region from 1960 to 2020 based on the daily wind speed data and meteorological data, and to elucidate the impacts of atmospheric and ocean circulation patterns on these indices. …”
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A Phenologically Simplified Two-Stage Clumping Index Product Derived from the 8-Day Global MODIS-CI Product Suite by Ge Gao, Ziti Jiao, Zhilong Li, Chenxia Wang, Jing Guo, Xiaoning Zhang, Anxin Ding, Zheyou Tan, Sizhe Chen, Fangwen Yang, Xin Dong

“…This study provides relatively reliable CI datasets that capture the general trend of seasonal CI variations and simplify potential applications in modeling ecological, meteorological, and other surface processes at both global and regional scales. …”
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Maternal exposure to ambient temperature and risk of preterm birth in Chengdu, China, from 2017 to 2020: a cohort study by Qiqi Huang, Xiong-Fei Pan, Shijiao Yan, Zhonghan Sun, Yuwei Lai, Yixiang Ye, Jiaying Yuan, Chuanzhu Lv, Rixing Wang, Xingyue Song

“…Methods This study included 6,850 pregnant women from the Tongji-Shuangliu Birth Cohort. Meteorological data for Chengdu through the European Centre for Medium-Range Weather Forecasts. …”
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Association Between Diurnal Temperature Range and Risk of Cardiomyopathy-Induced Hospitalisation in Henan, China: A Time-Series Study by Zhang Z, Wang Y, Zhou Y, Pei J, Zhao G, Dong P, Yang K, Liu H, Xie N, Li X, Zang X, Lin F, Chen Z

“…Zhaolin Zhang,1,&ast; Yongbin Wang,2,&ast; Yifeng Zhou,1 Jiachao Pei,1 Guoan Zhao,1,3 Pingshuan Dong,4 Kan Yang,5 Hui Liu,6 Na Xie,7 Xuefang Li,3 Xiayan Zang,3 Fei Lin,1,3 Zhigang Chen1 1Department of Cardiology,The First Affiliated Hospital of Xinxiang Medical University, Weihui, 453100, People’s Republic of China; 2Department of Epidemiology and Health Statistics, Xinxiang Medical University, Xinxiang, 453003, People’s Republic of China; 3Henan Engineering Technology Research Center of Environmental Meteorological Medicine, The First Affiliated Hospital of Xinxiang Medical University, Weihui, 453100, People’s Republic of China; 4Department of Cardiology,The First Affiliated Hospital of Henan University of Science and Technology, Luoyan, 471000, People’s Republic of China; 5Department of Cardiology,Nanyang Central Hospital, Nanyang, 473005, People’s Republic of China; 6Department of Cardiology,Anyang District Hospital, Anyang, 455000, People’s Republic of China; 7Department of Cardiology,The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453003, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Fei Lin; Zhigang Chen, Department of Cardiology,The First Affiliated Hospital of Xinxiang Medical University, No. 88 Jiankang Road, Weihui, Henan, People’s Republic of China, Tel +86 18567557937, Email 1fy2000129@xxmu.edu.cn; 1fy2015157@xxmu.edu.cnPurpose: The effect of the diurnal temperature range (DTR) on human health in diverse geographic areas and the potential confounding factors are not fully understood. …”
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Transport into the polar stratosphere from the Asian monsoon region by X. Yan, P. Konopka, F. Ploeger, F. Ploeger, A. Podglajen

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