Moisture inversions in the central Arctic: Product assessment and long‐wave radiative effect
This study evaluates the integrated water vapour and the vertical distribution of water vapour of state‐of‐the‐art reanalyses, weather forecast models, and ground‐ and space‐based remote‐sensing products in the central Arctic. A particular focus lies on the representation of humidity inversions and the quantification of the long‐wave radiative effect ...
Andreas Walbröl +6 more
wiley +1 more source
MARU-MTL: A Mamba-Enhanced Multi-Task Learning Framework for Continuous Blood Pressure Estimation Using Radar Pulse Waves. [PDF]
Xie J +5 more
europepmc +1 more source
Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg +5 more
wiley +1 more source
High-Precision Marine Radar Object Detection Using Tiled Training and SAHI Enhanced YOLOv11-OBB. [PDF]
Külcü S.
europepmc +1 more source
The characteristics of squall lines in the Southeast Asia region
Squall lines over the Maritime Continent were analysed using 20 years of IMERG GPM data and classified into four regional clusters. Significant regional differences were found in their size, intensity, lifespan, and propagation. Nighttime squall lines are primarily driven by the convergence of opposing offshore flows and the convergence of monsoonal ...
Jeong‐Yik Diong +3 more
wiley +1 more source
Fusion calib: azimuth angle and multi frame tracking for online extrinsic radar-camera calibration. [PDF]
Cao L +6 more
europepmc +1 more source
A review of the FATIMA Yellow Sea field campaign research
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee +50 more
wiley +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
Millimeter-wave technology for multi-person fall detection validated through wearable sensors and real-life scenarios. [PDF]
Chen HH, Lin JD, Lin SH, Wu CW, Chen HC.
europepmc +1 more source
Radar Tracking and Plotting Equipment
S. Tsuruta +4 more
openaire +2 more sources

