Results 121 to 130 of about 4,101,946 (282)

Assessing future flood hazards in the major rivers of Bangladesh using CMIP6 projections and integrated hydrologic-hydraulic modeling

Applied Computing and Geosciences
Climate change is expected to significantly alter flood dynamics in Bangladesh, one of the world's most flood-prone countries. Yet quantitative assessments of future flood hazards in this region remain sparse.
Aishia Fyruz Aishi, Md Kamruzzaman Tusar, Md Ariful Islam   +2 more
doaj   +1 more source

Global threat of Fusarium head blight to wheat production: Projecting host‐pathogen overlap under climate change

PLANTS, PEOPLE, PLANET, EarlyView.
Wheat is one of the world's most important staple crops, but its production is increasingly threatened by Fusarium head blight, a disease that reduces yield and grain quality. We mapped where wheat and its major disease‐causing fungi are likely to overlap now and under future climate change.
Ga‐Young Kim, Changsoo Kim, Kwang‐Ho Kim, Wang‐Hee Lee   +3 more
wiley   +1 more source

Modelling the phenology of the grapevine leafhopper Erasmoneura vulnerata

Pest Management Science, EarlyView.
This study developed and validated a phenological population dynamics model for Erasmoneura vulnerata, integrating field monitoring and literature data to reproduce observed seasonal patterns across multiple sites. Abstract BACKGROUND Erasmoneura vulnerata (Fitch) (Hemiptera: Cicadellidae) is an invasive Nearctic leafhopper that has become a pest of ...
Andrea De Francesco, Andrea Pintossi, Anna Simonetto, Igor Daniel Weber, Paola Gervasio, Gianni Gilioli   +5 more
wiley   +1 more source

Records of the Department Of Meteorology, University of Melbourne

, 1937
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.
University Of Melbourne. Department Of Meteorology
core  

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Effectiveness of model‐based decision tools for disease control in wheat, potato and grapevine: a multilevel meta‐analysis

Pest Management Science, EarlyView.
Meta‐analysis results indicate that decision tools can provide effective disease control, although their performance may vary among crops. Despite differences, decision tools reduced the Treatment Frequency Index across three crops. Abstract BACKGROUND A multilevel meta‐analysis was conducted to provide further evidence on the benefits of decision ...
Margherita Furiosi, Vid Podpečan, Giorgia Fedele, Marko Debeljak, Vittorio Rossi, Tito Caffi   +5 more
wiley   +1 more source

KANs Layer Integration: Benchmarking Deep Learning Architectures for Tornado Prediction

Big Data and Cognitive Computing
Tornado occurrence and detection are well established in mesoscale meteorology, yet the application of deep learning (DL) to radar-based tornado detection remains nascent and under-validated.
Shuo (Luna) Yang, Ehsaneh Vilataj, Muhammad Faizan Raza, Satish Mahadevan Srinivasan   +3 more
doaj   +1 more source

Multiscale numerical sensitivity simulations of a mesoscale gravity‐wave event

Quarterly Journal of the Royal Meteorological Society, EarlyView.
High‐resolution WRF simulations of the February 14–15, 1992 STORM‐FEST event show that mesoscale gravity‐wave genesis occurs via geostrophic adjustment within an upper‐level unbalanced jet, while wave ducting governs maintenance. High‐resolution (1 km), improved physical parameterization, and targeted sensitivity simulations demonstrate that upstream ...
Rajan Bhandari, Michael L. Kaplan, Ananya Sen   +2 more
wiley   +1 more source

Evaluation and assimilation of Arctic Weather Satellite data in the AROME‐Arctic forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The Arctic Weather Satellite (AWS), launched in August 2024, is a prototype for the future EPS–Sterna constellation of small satellites carrying an innovative microwave sounder. We present the first assessment of AWS in the regional AROME‐Arctic numerical weather prediction system, covering post‐launch calibration results and the impact of AWS ...
Stéphanie Guedj, Per Dahlgren, Máté Mile   +2 more
wiley   +1 more source

Nowcasting convective cores using deep learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key findings: •$$ \bullet $$ Network for Nowcasting Convective Cores (NetNCC) has considerable potential for convective storm nowcasting and the development of early warning systems for extreme rainfall. •$$ \bullet $$ Skilful nowcasts of convective cores are obtained at fine spatial resolutions (<30km$$ <30\kern0.15em \mathrm{km} $$) for up to 2 hr ...
Jawairia A. Ahmad, Cornelia Klein, Christopher Taylor, Seonaid R. Anderson, Steven C. Wells, David C. Hogg   +5 more
wiley   +1 more source