ARMTRAJ: a set of multipurpose trajectory datasets augmenting the Atmospheric Radiation Measurement (ARM) user facility measurements by I. Silber, J. M. Comstock, M. R. Kieburtz, L. M. Russell

“…Trajectories are calculated using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model informed by the European Centre for Medium-Range Weather Forecasts ERA5 reanalysis dataset at its highest spatial resolution (0.25°) and are initialized using ARM datasets. …”
Get full text

Optimasi Pertanian Padi: Peramalan Curah Hujan Berbasis Arima Untuk Penentuan Waktu Tanam Yang Tepat by Sofi Defiyanti, Betha Nurina Sari, Tesa Nur Padilah

“…This prediction aligns with the weather forecast from BMKG for the start of the rainy season in 2023/2024 in West Java. …”
Get full text

Alkaloid content variability in the seeds of narrow-leafed lupine accessions from the VIR collection under the conditions of the Russian Northwest by M. A. Vishnyakova, A. V. Salikova, T. V. Shelenga, G. P. Egorova, L. Yu. Novikova

“…In 2019, the average content of alkaloids in the sampled set was 1.9 times higher than in 2020. An analysis of weather conditions suggested that the decrease in alkaloid content occurred due to a significant increase in total rainfall in 2020. …”
Get full text

A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…In Phase II, in addition to <i>tr-features</i> which capture some inherent properties of the road network, we also explore additional thematic information in terms of environmental, traffic, weather, risk, and calendar features associated with intersections. …”
Get full text

Daily time series of 12 human thermal stress indices in Greece, aggregated at commune level (1998–2022)Zenodo by Georgios Charvalis, Michalis Koureas, Chloe Brimicombe, Chara Bogogiannidou, Fani Kalala, Varbara Mouchtouri, Christos Hadjichristodoulou

“…The heat indices contained in the dataset include Apparent Temperature (AT), Heat Index (HI), Humidity Index (Humidex), Normal Effective Temperature (NET), Wet Bulb Globe Temperature (simple version WBGT), Wet Bulb Globe Temperature (thermofeelWBGT), Wet Bulb Temperature (WBT), Wind Chill Temperature (WCT), Mean Radiant Temperature (MRT), and Universal Thermal Climate Index (UTCI) with two variations (UTCI indoor and UTCI outdoor).To develop the dataset, we used hourly climate variables, acquired from the ERA5 and ERA5-Land datasets, produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), which are accessible through the Copernicus Climate Change Service (C3S) Climate Data Store (CDS) Application Program Interface (API) client. …”
Get full text

Microclimate monitoring in commercial tomato (Solanum Lycopersicum L.) greenhouse production and its effect on plant growth, yield and fruit quality by Jakub Šalagovič, Dorien Vanhees, Pieter Verboven, Kristof Holsteens, Bert Verlinden, Marlies Huysmans, Bram Van de Poel, Bram Van de Poel, Bart Nicolaï, Bart Nicolaï, Bart Nicolaï

“…Large greenhouses typically rely only on one central weather station per compartment to steer their internal climate, ignoring possible microclimate conditions within the greenhouse itself.MethodsIn this study, we analysed spatial variation in temperature and vapour pressure deficit in a commercial tomato greenhouse setting for three consecutive years. …”
Get full text

Solar Energy Forecasting Framework Using Prophet Based Machine Learning Model: An Opportunity to Explore Solar Energy Potential in Muscat Oman by Mazhar Baloch, Mohamed Shaik Honnurvali, Adnan Kabbani, Touqeer Ahmed, Sohaib Tahir Chauhdary, Muhammad Salman Saeed

“…Based on the outcomes of this study, it is concluded that the Facebook Prophet model outperforms all of the other utilized conventional machine learning models, with MAE, RMSE, and R² values of 9.876, 18.762, and 0.991 for the cloudy conditions and 11.613, 19.951 and 0.988 for the clean weather conditions, respectively. The mentioned error values are the lowest among all of the studied models, which makes Facebook Prophet the most accurate solar irradiance forecasting model for Muscat, Oman.…”
Get full text

Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling by Hamideh Noory, Morteza Khoshsima, Atsushi Tsunekawa, Mitsuru Tsubo, Nigussie Haregeweyn, Salar Pashapour

“…We herein propose a method for integration of low-cost, available, multi-source data, including field data (crop, soil, and weather) and high-resolution satellite data (Sentinel-2 and Landsat-8) into a soil–water–atmosphere–plant (SWAP) model to provide daily, accurate surface- and root-zone SM at the field scale that can inform optimal management of irrigation water. …”
Get full text

Assessment of Hydrologic Data Estimates From ERA5 Reanalyses in Benin, West Africa by René Bodjrènou, Luc Ollivier Sintondji, Yekambessoun M' Po N'Tcha, Diane Germain, Francis Esse Azonwade, Fernand Sohindji, Gilbert Hounnou, Edid Amouzouvi, Arthur Freud Segnon Kpognin, Françoise Comandan

“…ERA5 is a climate reanalysis product produced by the European Centre for Medium‐range Weather Forecasts (ECMWF) and is suggested to overcome this constraint. …”
Get full text

Fertigation with alpha-tocopherol enhances morphological, physiological, and antioxidant responses in radish (Raphanus sativus L.) under drought stress by Muhammad Shahbaz Chishti, Muhammad Shahbaz, Muhammad Kaleem, Saba Shafi, Anam Mehmood, Zhang Qingzhu, Musarat Mansha, Nimra Shehzadi, Shamsa Rana, Hina Shahid, Abeer Hashem, Alanoud Alfagham, Elsayed Fathi Abd-Allah

“…Abstract Water scarcity is a foremost environmental concern and is expected to hasten in the forthcoming years due to severe fluctuations in weather patterns worldwide. The present work was designed to explore the potential role of alpha-tocopherol (α-Toc), a form of vitamin E, on the morphological, physio-biochemical, and cellular antioxidant responses of two radish genotypes grown under drought conditions (38 ± 3% of field capacity). …”
Get full text

Co-optimization of Demand Response Aggregators and distribution system operator for resilient operation using machine learning based wind generation forecasting: A bilevel approach by Farid Hamzeh Aghdam, Aleksandr Zavodovski, Adeleye Adetunji, Mehdi Rasti, Eva Pongracz, Mohammad Sadegh Javadi, João P.S. Catalão

“…The increasing occurrence of extreme weather events has severely compromised the resilience of power distribution systems, resulting in widespread outages and substantial economic losses. …”
Get full text

Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model by Jiageng Hu, Fuqiang Wang, Peiheng Liu, Subing Lü, Cheng Lü, Furong Yu

“…However, time lags in policy implementation and extreme weather events from climate change negatively impact evaluation accuracy, complicating the research. …”
Get full text

Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques by Yue-Shan Chang, Shu-Ting Huang, Basanta Haobijam, Satheesh Abimannan, Takayuki Kushida

“…We test our model in the Penghu Sea area near Taiwan (Penghu, Dongji, Qimei, Jibei, Jiangjun, and Wangang) using data from the Central Weather Bureau (CBW) from 2020 to 2022. The ensemble techniques employed include STH-MLR-LSTM, STH-AGG-LSTM, STH-MAE-LSTM, and STH-SAM-LSTM. …”
Get full text

Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance by Xianen Wei, Jinsong Chong, Yawei Zhao, Lijie Diao, Xuan Jin

“…Furthermore, we compared wind field retrieved from 54 co-polarized SAR images with European Center for Medium-Range Weather Forecasts (ECMWF), ASCAT, and buoy data. The root mean square error (RMSE) and the absolute value of Bias of wind direction comparison with ECMWF and ASCAT were both below 22<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> and 1.8<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>, respectively. …”
Get full text

The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results by Yosuke Fujii, Yosuke Fujii, Elisabeth Remy, Magdalena Alonso Balmaseda, Shoichiro Kido, Jennifer Waters, K. Andrew Peterson, Gregory C. Smith, Ichiro Ishikawa, Kamel Chikhar

Get full text

Solar radiation estimation in West Africa: impact of dust conditions during the 2021 dry season by L. Clauzel, S. Anquetin, C. Lavaysse, G. Bergametti, C. Bouet, C. Bouet, G. Siour, R. Lapere, B. Marticorena, J. Thomas

“…Simulations of this dust event were conducted using the meteorological Weather Research and Forecasting (WRF) Model alone, as well as coupling it with the CHIMERE chemistry transport model, using three different datasets for the dust aerosol initial and boundary conditions (CAMS, GOCART, and MERRA-2). …”
Get full text

The association of origin and environmental conditions with performance in professional IRONMAN triathletes by Beat Knechtle, Mabliny Thuany, David Valero, Elias Villiger, Pantelis T. Nikolaidis, Marilia S. Andrade, Ivan Cuk, Thomas Rosemann, Katja Weiss

“…Abstract We have (i) little knowledge about where the fastest professional IRONMAN triathletes originate from and where the fastest races take place and (ii) we have no knowledge of the optimal weather conditions for an IRONMAN triathlon. The aims of the present study were, therefore, (i) to investigate the origin and the fastest IRONMAN race courses for professional triathletes and (ii) to evaluate the best environmental conditions (i.e. water and air temperatures and type of race course) for the fastest IRONMAN race times in professional IRONMAN triathletes. …”
Get full text

Risk Factor Analysis of Ski and Snowboard Injuries During the 2023/2024 Winter Season: A Single, High-Volume Trauma Center Database Analysis by Michele Paolo Festini Capello, Pieralberto Valpiana, Giuseppe Aloisi, Giovanni Cristofolini, Svea Caren Misselwitz, Giuseppe Petralia, Mario Muselli, Salvatore Gioitta Iachino, Christian Schaller, Pier Francesco Indelli

“…Additionally, the absence of significant correlations between weather conditions, snow quality, equipment type, and the difficulty of the slope with injury risk suggests that individual factors such as age and skill level are more critical determinants of injury risk than environmental or equipment-related factors.…”
Get full text

Functional Characterization of the <i>PoWHY1</i> Gene from <i>Platycladus orientalis</i> and Its Role in Abiotic Stress Tolerance in Transgenic <i>Arabidopsis thaliana</i> by Chun Ou, Zhiyu Dong, Xudong Zheng, Wenhui Cheng, Ermei Chang, Xiamei Yao

“…The frequent occurrence of extreme weather conditions in the world has brought many unfavorable factors to plant growth, causing the growth and development of plants to be hindered and even leading to plant death, with abiotic stress hindering the growth and metabolism of plants due to severe uncontrollability. …”
Get full text