Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…A DHKELM-based combined prediction model is developed for each component of the decomposition, tailored to different weather types. The model’s hyperparameters are optimized using the IDBO. …”
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Plains Zebras Prioritize Foraging Without Sacrificing Social Bonds During a Severe Drought by Severine B. S. W. Hex, Erin S. Isbilen, Daniel I. Rubenstein

“…Yet, social bonds may also enable individuals to weather the deleterious effects of environmental conditions. …”
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Unveiling the future: Wavelet- ARIMAX analysis of climate and diarrhea dynamics in Bangladesh’s Urban centers by Md. Waliullah, Md. Jamal Hossain, Md. Raqibul Hasan, Abdul Hannan, Mohammad Mafizur Rahman

“…Identifying the intricate connections between weather variables and diarrhea epidemics is critical for developing effective public health remedies. …”
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Impact of the Choice of Land Surface Scheme on a Simulated Heatwave Event: The Case of Sichuan-Chongqing Area, China by Y. Ma, X.-M. Zeng, Y. Zhang, N. Wang, Y. Zheng, G. Wang, C. Chen

“…The Sichuan-Chongqing area in China has complex basin topography and is known for its extremely hot summer weather. In this paper, the mesoscale model WRF version 3.6.1 was used to simulate a period of 1–10 days in advance of the hot weather that occurred in Sichuan-Chongqing on August 10, 2006, to investigate the effect of six different land surface schemes (LSSs) (SLAB, RUC, PX, NOAH, NOAH_MP, and CLM4) on short- and medium-range simulations of high temperatures. …”
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Spatial-Temporal Analysis of Crash Severity: Multisource Data Fusion Approach by Amirhossein Taheri, Arash Rasaizadi, Seyedehsan Seyedabrishami

“…Independent descriptive variables include geometric design, time-related, weather and environmental conditions, land use, traffic attributes, vehicle characteristics, and driver characteristics. …”
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Spatial and seasonal determinants of arthropod community composition across an agro-ecosystem landscape by P. Burgess, G.S. Betini, A. Cholewka, J.R. deWaard, S. deWaard, C. Griswold, P.D.N. Hebert, A. MacDougall, K.S. McCann, J. McGroarty, E. Miller, K. Perez, S. Ratnasingham, C. Reisiger, D. Steinke, E. Wright, E. Zakharov, J.M. Fryxell

“…Our results suggest that plant community composition, cover, weather conditions, and seasonality structured the arthropod community to considerable degree.…”
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Large-Scale Dynamics, Anomalous Flows, and Teleconnections 2015 by Anthony R. Lupo, Stephen J. Colucci, Igor I. Mokhov, Yafei Wang

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Topoclimatogie et pollution de l’air dans les Alpes-Maritimes : mécanismes et conséquences en images by Nicolas Michelot, Pierre Carrega

“…Considering the calm and radiative weather who usually characterizes the Alpes-Maritimes, this coastal mountainous area is subject to breezes and thermal inversions, wich are the mains forms of topoclimates in this region. …”
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Global Navigation Satellite System (GNSS) radio occultation climatologies mapped by machine learning and Bayesian interpolation by E. Shehaj, E. Shehaj, S. Leroy, K. Cahoy, A. Geiger, L. Crocetti, G. Moeller, G. Moeller, B. Soja, M. Rothacher

“…High accuracy, long-term stability, and all-weather capability make this technique attractive to meteorologists and climatologists. …”
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Pollution Characteristics and Key Reactive Species of Volatile Organic Compounds in Beijing-Tianjin-Hebei Area, China by Yanan Guan, Yihao Zhang, Yisen Zhang, Xiaoli Wang, Jing Han, Wenbo Song, Li’an Hou, Erhong Duan

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Passive acoustic monitoring of an elusive rail, the corncrake (Crex crex): Calling patterns, detectability and monitoring recommendations by Andrea Parisi, Marie Greaney, John Carey, James Moran, Joanne O’Brien

“…The calling activity was modelled as a response variable predicted by weather, lunar and temporal variables. Additionally, detectability according to weather variables and lunar fraction was assessed using a single-species occupancy model. …”
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Spatio-Temporal Characteristics of Climate Extremes in Sub-Saharan Africa and Potential Impact of Oceanic Teleconnections by Lormido Ernesto Zita, Flávio Justino, Carlos Gurjão, James Adamu, Manuel Talacuece

“…Sub-Saharan Africa (SSA) is a region vulnerable to extreme weather events due to its low level of adaptive capacity. …”
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The Impact of Spatial Dynamic Error on the Assimilation of Soil Moisture Retrieval Products by Xuesong Bai, Zhengkun Qin, Juan Li, Shupeng Zhang, Lili Wang

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Comparative analysis of wild and cultivated Lathyrus L. species to assess their content of sugars, polyols, free fatty acids, and phytosterols by A. E. Solovyeva, T. V. Shelenga, A. L. Shavarda, M. O. Burlyaeva

“…The content of identified compounds varied depending on the genotype, species, and weather. High temperatures and high precipitation in 2013 contributed to the accumulation of monosaccharides, and the colder and drier conditions of 2012 to an increase in oligosaccharides, most polyols, and FFA. …”
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Spatiotemporal Changes of Extreme Precipitation and Its Teleconnection Analysis with Climate Circulation Indices in Three Gorges Reservoir Area in Recent 60 Years by ZENG Huiqi, TENG Shunlin, SHAO Meng, ZHANG Lu, WANG Yuefeng

“…Analyzing the correlation between large-scale climate circulation and extreme precipitation is of great significance for regional flood and drought warnings and extreme weather management.Previous studies have well revealed the influence of a single climate circulation index,while the influence characteristics of multiple climate circulation indices are still unclear.According to the daily precipitation in 21 meteorological stations in Three Gorges Reservoir Area (TGRA) from 1960 to 2019,eight extreme precipitation indices (CDD,CWD,R10,R20,Rx1d,Rx5d,R95p,and R99p) were constructed in terms of precipitation duration and absoluteness,and Mann-Kendall (M-K) trend test,Spearman correlation analysis,and multiple linear regression (MLR) were used to analyze the spatiotemporal changes during extreme precipitation in the TGRA.Then the correlation between extreme precipitation and climate circulation was revealed in terms of single and multiple factors.The results showed that:①The R10,R20,Rx1d,Rx5d,R95p,and R99p in the TGRA spatially decreased from northwest to southeast from 1960 to 2019,which was similar to the spatial trend of multi-year average precipitation;②the CWD,CDD,R10,and Rx5d generally decreased,while R20,Rx1d,R95p,and R99p increased.The duration of continuous precipitation events in the TGRA shortened,but the frequency and intensity of short-term strong precipitation events increased;③in terms of teleconnection analysis of extreme precipitation and climate circulation index,the multiple factor regression analysis could better explain the extreme precipitation index than the single factor regression analysis.Specifically,the combination of the East Asian Summer Monsoon Index (EASMI) and the South Asian Summer Monsoon Index (SASMI) had the best performance in explaining the extreme precipitation index.This study can provide a scientific basis for coping with extreme climate change and weather disaster prediction and warning in the TGRA.…”
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Polarization Scattering Regions: A Useful Tool for Polarization Characteristic Description by Jiankai Huang, Jiapeng Yin, Zhiming Xu, Yongzhen Li

“…These findings have significant implications for advancing weather radar technology and target recognition techniques, particularly as radar systems move towards higher frequency bands.…”
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Effects of Climate Variation on Spring Potato Growth, Yield, and Quality in South Korea by Hyun Hwa Park, Ei Ei, Yong In Kuk

“…In South Korea, spring potatoes account for over 60% of total potato production, but global warming and anomalous weather events may impact their growth and yield. …”
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Predicting Crash Frequency for Urban Expressway considering Collision Types Using Real-Time Traffic Data by Hui Zhang, Siyao Li, Chaozhong Wu, Qi Zhang, Yafen Wang

“…The results indicated that the influence of traffic and weather factors on two collision types shared similar trend, but different level. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…Through a detailed case study with the Weather Research and Forecasting (WRF) model coupled with the Noah-MP land surface model, ML-AMPSIT is demonstrated to efficiently predict the effects of varying the values of Noah-MP model parameters with a relatively small number of model runs by simulating a sea breeze circulation over an idealised flat domain. …”
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Transformasi Kota Cerdas dalam Mitigasi Banjir: Pemodelan Curah Hujan DKI Jakarta dengan Pendekatan Spatial Vector Autoregressive (SpVAR) dan Pemetaan Bobot Queen Contiguity by Rinda Lolita Melanwati, Eni Sumarminingsih, Henny Pramoedyo

“…Abstract Climate change and extreme weather pose global challenges, including in Indonesia, leading to increased floods in DKI Jakarta. …”
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