Results 51 to 60 of about 3,671 (159)

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

New insights into convection‐permitting model simulations from a ZDR$$ {\boldsymbol{Z}}_{\mathbf{DR}} $$ diagnostic for raindrops

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A polarimetric radar forward operator to simulate differential reflectivity (ZDR$$ {Z}_{\mathrm{DR}} $$) from rain was developed to evaluate simulated storms in the Met Office Unified Model (MetUM) for two case days of the Wessex Convection Experiment (WesCon) field campaign. Vertical columns of ZDR$$ {Z}_{\mathrm{DR}} $$, indicative of strong updrafts,
Chun Hay Brian Lo, Thorwald H. M. Stein, Christopher D. Westbrook, Paul R. Field, Kalli Furtado, Robert W. Scovell, Jonathan M. Wilkinson, Timothy Darlington, Humphrey W. Lean, Ryan R. Neely III, Christopher J. Walden   +10 more
wiley   +1 more source

Spatial observation‐error correlations for AMSU‐A in all‐sky assimilation: An ECMWF and UK Met Office intercomparison

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt, Massimo Bonavita, Niels Bormann, Sarah L. Dance, Alison Fowler, Elías Hólm, Christopher J. Merchant, Jonathan Mittaz, Stuart Newman, Joanne Waller   +9 more
wiley   +1 more source

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo, Angela K. Rowe, Michael M. Bell, Wei‐Yu Chang   +3 more
wiley   +1 more source

The benefit of neighborhood methods for the assimilation of cloud‐affected radiances evaluated in observing‐system simulation experiments

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Neighborhood methods are commonly used in verification to avoid the double‐penalty issue. This study evaluates such methods for the assimilation of infrared and visible satellite observations and extends them to multiscale assimilation. Moreover, a novel technique is tested aimed at mitigating complex biases and structural errors in real‐world model ...
Lukas Kugler, Stefano Serafin, Andrea Hochebner, Nicola Pierotti, Martin Weissmann   +4 more
wiley   +1 more source

Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Microwave satellite radiances remain largely underexploited in convection‐permitting limited‐area models. We assess the assimilation of humidity‐sensitive radiances from the MHS instrument in the operational ICON‐2I model, improving the precipitation forecast of a severe convective event over the Marche region, Italy, substantially by correcting ...
Marcello Grenzi, Thomas Gastaldo, Virginia Poli, Chiara Marsigli, Tijana Janjic, Alberto Carrassi   +5 more
wiley   +1 more source

Improving heavy precipitation forecasts through phase‐aware nonlinear bias correction of all‐sky infrared radiances using cloud top temperature differences

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study proposes a phase‐aware bias correction framework for all‐sky infrared radiance assimilation. Cloud top temperature differences between observations and model background fields are used to identify cloud‐phase mismatch and cold‐cloud regimes.
Jiwon Hwang, Dong‐Hyun Cha, Myong‐In Lee, SangSeo Park, Yonghan Choi, Ki‐Hong Min   +5 more
wiley   +1 more source

Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation

Remote Sensing in Ecology and Conservation, EarlyView.
Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer, Hugo do Nascimento Bendini, Mateus de Souza Miranda, Vu‐Dong Pham, Leila Maria Garcia Fonseca, Cássia Beatriz Rodrigues Munhoz, Sebastian van der Linden   +6 more
wiley   +1 more source

A Review on the Development and Key Technologies of Embodied Intelligent Industrial Robots in Smart Manufacturing

SmartBot, EarlyView.
Conventional industrial robots rely on predefined workflows and struggle to adapt to changing tasks and uncertain manufacturing environments. This review examines the development and key technologies of embodied intelligent industrial robots (EIIRs), highlighting a closed‐loop architecture that integrates human and industrial inputs, embodied ...
Jie Wang, Mingsheng Li, Yiming Jiang, Hui Zhang, Zhiqiang Miao, Weixing Peng, He Xie, Yaonan Wang   +7 more
wiley   +1 more source

Oral Microalgae‐Laden Hydrogels Modulating the Intestinal Microbiota Metabolism for Acute Alcohol‐Induced Liver Injury Therapy

Small, EarlyView.
A food‐grade microalgae‐laden hydrogel (FMH) enables efficient in situ microalgae cultivation and serves as an oral therapeutic platform for acute alcohol‐induced liver injury. FMH improves alcohol tolerance, alleviates oxidative stress, inflammation, and lipid metabolic disorders, restores gut microbial homeostasis, and provides synergistic ...
Zhixin Hu, Hongtao Wu, Xuanqi Liu, Xinxu Huang, Linli Jiang, Lei Liu, Xiaojie Li, Yawen Yao, Fengzheng Gao, Kui Zeng, Jiajing Zhou   +10 more
wiley   +1 more source