Results 101 to 110 of about 18,016 (266)
Global models identified high‐risk areas for Mythimna separata invasion, highlighting major economic vulnerability for Brazilian crops and guiding targeted prevention and management strategies. Abstract BACKGROUND Identifying high‐risk areas for the introduction of invasive alien species is particularly important for agricultural pests with a broad ...
Gabriel Dorotel da Silva Ferreira +1 more
wiley +1 more source
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff +1 more
wiley +1 more source
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
An opportunity index to anticipate when subseasonal predictions are useful
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler +4 more
wiley +1 more source
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou +7 more
wiley +1 more source
Modulation of wind drag by tidal currents in an embayment
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate +1 more
wiley +1 more source
Exploiting Aeolus winds in a regional numerical weather prediction model
Aeolus measured winds have proven to be beneficial for global models. However, demonstrating positive impact for limited‐area models has been a challenge so far. For the first time, we have demonstrated a statistically significant positive impact of Aeolus winds in a limited‐area model by using the 4DVar data assimilation technique and the most recent ...
Gert‐Jan Marseille +3 more
wiley +1 more source
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti +3 more
wiley +1 more source
Observations and numerical simulations of a valley‐exit wind in the Alpine Bolzano basin
The evolution and spreading of the nocturnal valley‐exit wind flowing from the Isarco Valley into the Bolzano basin, in the Italian Alps, are found to be influenced by the basin temperature stratification. Measurements and high‐resolution simulations show that a cold‐air pool favors an upward trajectory of the flow at the exit of the valley.
Federica Gucci +4 more
wiley +1 more source
Unexpected sea fog in the west coast of South Korea had a huge impact on the transportations in the Seoul–Incheon metropolitan area. We reproduced successfully the formation and evolution of a sea event with a transition of air–sea temperature difference using the Weather Research and Forecasting model.
Jeonghoe Kim +3 more
wiley +1 more source

