Results 151 to 160 of about 1,123,715 (301)
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 +3 more
wiley +1 more source
Precipitation Induced Signatures in SAR Images [PDF]
, 2009 Active microwave SAR imaging of the Earth’s surface is commonly considered to be of all weather capability. However, as the operating frequencies of SAR-systems are increasing, visible image distortions due to heavy precipitation in SAR-images are ...
Chandra, Madhu, Danklmayer, Andreas
core
Quarterly Journal of the Royal Meteorological Society, EarlyView.A new method compares both kilometer and sub‐kilometre weather model simulations with Doppler lidar observations to assess the representation of boundary‐layer turbulence. While bulk boundary‐layer properties are well represented, vertical velocity variance is strongly underestimated in both simulations.
Natalie J. Harvey +7 more
wiley +1 more source
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 +10 more
wiley +1 more source
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 +9 more
wiley +1 more source
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 +3 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study investigates the thermodynamic and microphysical characteristics of updrafts and downdrafts of tropical deep convective anvil clouds using in situ measurements. We found that parts of the downdrafts are in ice supersaturation in these clouds.
Sreehari Kizhuveettil +6 more
wiley +1 more source
Physics-informed deep learning-based adaptive beamforming for phased array weather radar. [PDF]
Sci RepSallam T, Attiya AM.
europepmc +1 more source
Impact of fragmented urbanization on observed precipitation
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study investigates the impact of fragmented urban landscapes on downwind precipitation by applying an innovative observation‐centered approach to an extensive rain gauge network in Belgium. The approach classifies the observations based on the upwind urban land cover fraction, and compares precipitation indices between rural‐ and urban‐labeled ...
Amber Jacobs +2 more
wiley +1 more source
ST-TriMambaUNet: A Weather Radar Echo Extrapolation-Based Spatiotemporal Sequence Prediction Network for Precipitation Nowcasting. [PDF]
Sensors (Basel)Wang H, Sun Q, Shi Y.
europepmc +1 more source