Results 151 to 160 of about 3,453,567 (301)
Regional analysis of spatiotemporal trends in Colorado potato beetle abundance
Leveraging a large data set on Colorado potato beetles in Wisconsin, we examine spatial and temporal abundance trends. Spatiotemporal statistical models substantially improve fit and show that climate and management factors are positively associated with abundance levels.
Nursultan Azhimuratov +4 more
wiley +1 more source
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 +10 more
wiley +1 more source
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 +9 more
wiley +1 more source
The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley +1 more source
Evaluation and assimilation of Arctic Weather Satellite data in the AROME‐Arctic forecast system
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 +2 more
wiley +1 more source
Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models
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 +5 more
wiley +1 more source
Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth +7 more
wiley +1 more source
Synoptic and large‐scale drivers of extreme precipitation events in the Himalayas
Months associated with maximum frequency of extreme precipitation events (EPEs). 6102 extreme precipitation days (i.e., exceeding 99th percentile for daily precipitation) occurred across the Karakoram, Western Himalayas (WH), Central Himalayas (CH) and Eastern Himalayas (EH) during 1979 to 2023.
Priya Bharati +2 more
wiley +1 more source
Insulator fault feature extraction system of substation equipment based on machine vision
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source

