Imaging 3D Sea Surfaces from 3D Dual-Sensor Towed Streamer Data by Okwudili C. Orji, Walter Söllner, Leiv-J. Gelius

“…The data examples were acquired under different weather conditions. The imaged sea surfaces show realistic wave heights, and their spectra suggest plausible speeds and directions.…”
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Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix by P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka

“…When making predictions for the long term, however, weather information can be beneficial.…”
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Improved Real-Time Traffic Obstacle Detection and Classification Method Applied in Intelligent and Connected Vehicles in Mixed Traffic Environment by Luyao Du, Xiongjie Chen, Zhonghui Pei, Donghua Zhang, Bo Liu, Wei Chen

“…A new established dataset containing four types of traffic obstacles including vehicles, bikes, riders, and pedestrians is collected under different time periods and different weather conditions in urban environment in Wuhan, China. …”
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Flood Period Classification Forecast Based on Information Fusion and Recognition by XIE Zhigao, LIU Xia, WU Hengqing, LIU Jin

“…To solve the low simulation accuracy of flood forecast models caused by limited historical flood data in river basins,this paper employs the K-means clustering method to cluster typical floods by taking reservoir A as the research object.Meanwhile,it analyzes hydrological influencing factors such as rainfall intensity,rainfall center,and weather system,calculates various parameters of confluence models through a genetic optimization algorithm,and adopts a rough set method to explore the relationship between influencing factors and flood period confluence patterns.Finally,the flood period classification forecast based on information fusion and recognition is conducted.The results are as follows:① The absolute and relative errors of the four selected typical floods calculated by the classification forecast method are 9.01 m³/s and 2.95%,116.46 m³/s and 6.78%,30.92 m³/s and 17.55%,and 6.12 m³/s and 1.86% respectively;② The simulation accuracy of the flood classification forecast model built in this paper is higher than that of the traditional forecast methods,and the determination coefficients of different typical floods are all above 0.8.The results can provide references for the flood period classification and forecast in north China and other regions with less flood data.…”
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Knowledge construction in the community of fishing women in the region of Guaraqueçaba – PR by Elaine Mandelli Arns, Faimara do Rocio Strauhs

“…Research limitations: The shyness of the fisherwomen, the rainy weather not allowing for research or fieldwork, the slow pace of time on the way life passes in those communities; all these, require an adaptation from outsiders…”
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Performance of International Global Models and Official Tropical Cyclone Forecasts Over the Bien Dong Sea for the Period 2012–2019 by Hoa Vo Van, Hung Mai Khanh, Tien Du Duc, Lars Robert Hole, Quan Dang Dinh, Duc Tran Anh, Hang Pham Thi, Nam Hoang Gia

“…This research validates tropical cyclone (TC) forecasts from the National Centre for Hydro-Meteorological Forecasting of Vietnam, the Regional Specialized Meteorological Center (RSMC) Tokyo, and global models (the Japanese Meteorological Agency [JMA], global spectral model [GSM], the National Centers for Environmental Prediction [NCEP], Global Forecast System [GFS], and the European Centre for Medium-Range Weather Forecasts [ECMWF] Integrated Forecasting System [IFS]) for 72 activated TCs over the Bien Dong Sea. …”
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Improving Regional Dynamic Downscaling with Multiple Linear Regression Model Using Components Principal Analysis: Precipitation over Amazon and Northeast Brazil by Aline Gomes da Silva, Claudio Moises Santos e Silva

“…In the current context of climate change discussions, predictions of future scenarios of weather and climate are crucial for the generation of information of interest to the global community. …”
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Global changes in extreme tropical cyclone wave heights under projected future climate conditions by Guisela Grossmann-Matheson, Ian R. Young, Alberto Meucci, Jose-Henrique Alves

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Design of an Intelligent Energy Management Prototype for an Electric Lighting Network on a Raspberry Pi Board by Jouahri Mohammed Amine, Moukhtari Manal, Oulhaj Nabil, Khimouj Mounir, Tajer Abdelouahed, Boulghasoul Zakaria

“…This paper proposes an innovative approach that dynamically adjusts the brightness of streetlights according to two key factors: traffic density and weather conditions. Traffic density is assessed in real time by an image processing system using the YOLOv8 algorithm, which identifies and counts vehicles captured by the cameras. …”
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Assessment of Bycatch and Lost Fishing Gear in Sea Bass (Dicentrarchus labrax) Fishing Using Vertical Setline in the Coastal Waters of Yumurtalık Bay by Caner Enver Ozyurt

“…While the reasons for gear loss typically include gear conflicts, adverse weather conditions, operational errors, maritime traffic, and vandalism, this study did not specifically identify the causes of gear loss. …”
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Understanding the distributional effects of recurrent floods in the Philippines by Inga J. Sauer, Brian Walsh, Katja Frieler, David N. Bresch, Christian Otto

“…Summary: Successful recovery from extreme weather events is key to avoid long-term poverty implications. …”
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Orography-Induced Gravity Wave Drag Parameterization in the Global WRF: Implementation and Sensitivity to Shortwave Radiation Schemes by Hyeyum Hailey Shin, Song-You Hong, Jimy Dudhia, Young-Joon Kim

“…This paper describes the implementation of the orographic gravity wave drag (GWDO) processes induced by subgrid-scale orography in the global version of the Weather Research and Forecasting (WRF) model. The sensitivity of the model simulated climatology to the representation of shortwave radiation and the addition of the GWDO processes is investigated using the Kim-Arakawa GWDO parameterization and the Goddard, RRTMG (Rapid Radiative Transfer Model for GCMs), and Dudhia shortwave radiation schemes. …”
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Estimation of Surface Runoff for Al-Ghadaf Valley using the SWAT Model by Atheer G. Ibrahim

“…The area of the catchment was 8567.25  and the weather data used in this model was for three actual stations, Rutba, Ramadi, and Al-Nukhaib, for 13 years from 2009 to 2022. …”
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Disease Control for Snap Beans in Florida by Shouan Zhang, Nicholas Dufault, Mathews Paret, Pamela Roberts, Guodong Liu, Qingren Wang

“…Because of Florida's warm and wet weather, many diseases affect snap beans. Disease management is an important component in successful snap bean farming. …”
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Is Uruguay More Resilient This Time? Distributional Impacts of a Crisis Similar to the 2001–02 Argentine Crisis by Oscar Barriga Cabanillas, María Ana Lugo, Hannah Nielsen, Carlos Rodríguez-Castelán, María Pía Zanetti

“…The simulation exercise suggests that Uruguay would now be in a better place to weather such a severe crisis. The impact on poverty would be considerably more moderate; inequality would not change significantly; and household incomes would be 8 percent lower than in the absence of a crisis (almost 9 percent lower among households in the bottom 40 percent of the income distribution). …”
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Application of IoT and Cloud Computing in Automation of Agriculture Irrigation by Khongdet Phasinam, Thanwamas Kassanuk, Priyanka P. Shinde, Chetan M. Thakar, Dilip Kumar Sharma, Md. Khaja Mohiddin, Abdul Wahab Rahmani

“…A system like this can be very precise, but it needs information about the soil and the weather in the area where it is going to be used. …”
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Collisions of Animals With Road Vehicles in Traffic in the Czech Republic in Connection with Tourism – Analyses of Causes and Prevention by Petr Šmíd, Emílie Pecharová, Dagmar Škodová Parmová

“…The collisions were evaluated for the period from 2007 to 2016 under the different conditions in which they occurred, for example, season, time of day, weather conditions, visibility and the like. The development of the number of accidents in individual periods and the scope of damage in relation to the collisions are analysed in such a manner as to allow for comparison of any financial resources spent on prevention with damage that has already occurred. …”
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Spatial dispersion of climatic factors in North and central basin of Iran using statistical models by Hakimeh Behboudi, Mohammad saligheh, Ali bayat, Akram zakeri, Fatemeh jamali

“…Understanding weather zoning and knowing homogeneous climate regions are essential for land use and regional planning. …”
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Applying the Aajiiqatigiingniq Research Methodology: approaches and lessons learned through collaborative survey development and analysis by Natalie Ann Carter, Shirley Tagalik, Gita Ljubicic

“…We followed the ARM in establishing partnerships, and developing and facilitating a survey, to learn how Nunavut community members use and share available weather, water, ice, and climate information. The ARM guided our 5-year research process involving 19 Local Research Coordinators, along with 13 Nunavut-based, eight university, and three federal government collaborators. …”
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Increasing the self-sufficiency of a university campus by expanding the PV capacity while minimizing the energy cost by Randrianantenaina Tina Arizo, Le Gal La Salle Josselin, Spataru Sergiu Viorel, David Mathieu

“…The campus already has three photovoltaic (PV) systems and high-quality measurement data of weather, loads and energy production. The goal of the work is to find an optimal rooftop PV capacity that maximizes campus self-sufficiency while keeping energy price affordable for users. …”
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