Results 221 to 230 of about 20,924 (314)

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Challenges and approaches in tracking and analyzing movement of ground-dwelling insects. [PDF]

Mov Ecol
Růžičková J, Elek Z.
europepmc   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris, A. Ntoumos, A. Berne, A. Hering, P. Juda, M. Boscacci, L. Clementi, U. Germann   +7 more
wiley   +1 more source

MARU-MTL: A Mamba-Enhanced Multi-Task Learning Framework for Continuous Blood Pressure Estimation Using Radar Pulse Waves. [PDF]

Bioengineering (Basel)
Xie J, Huang J, Xu C, Wan H, Zuo X, Dong G.   +5 more
europepmc   +1 more source

Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt, Christopher D. Westbrook, Jonathan Crosier, Karina McCusker   +3 more
wiley   +1 more source

High-Precision Marine Radar Object Detection Using Tiled Training and SAHI Enhanced YOLOv11-OBB. [PDF]

Sensors (Basel)
Külcü S.
europepmc   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Dynamic Object Detection in Maritime Navigation Scenarios Based on Vision-Radar Fusion. [PDF]

Sensors (Basel)
Chen Q, Xiao C, Li B.
europepmc   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos, I. V. Sideris, A. Berne, A. Hering, P. Juda, M. Gabella, M. Boscacci, L. Clementi, U. Germann   +8 more
wiley   +1 more source

Fusion calib: azimuth angle and multi frame tracking for online extrinsic radar-camera calibration. [PDF]

Sci Rep
Cao L, Zhu H, Gu T, Xi G, Wang L, Luo J, Feng Z.   +6 more
europepmc   +1 more source