Seafloor vegetation map of man-made boulders reef by underwater photogrammetry: Suggestions for site selections in macroalgal bed creations. [PDF]
Kanki T, Sano W, Sannoh M, Kan H.
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
Monitoring environmental impacts of a designated aquaculture area in the Karaburun Peninsula using Google Earth Engine. [PDF]
Tosun DD.
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
Flight Altitude of Common Cranes (<i>Grus grus</i>) Crossing the Arkona Basin (Baltic Sea): Implications for Offshore Wind Farm Development. [PDF]
Skov H +6 more
europepmc +1 more source
Fifteen size‐resolved aerosol samples collected during marine fog, with adjacent ambient observations, show that coarse sea salt aerosol is rapidly grown and lost in the northwest North Atlantic Ocean except when subject to extreme winds. The persistence of fog in the absence of sea salt is determined by available fine‐mode aerosol, where greater ...
Leyla Salehpoor +10 more
wiley +1 more source
A latent class analysis of public opinions about gambling policy goals: a population-based survey in Finland. [PDF]
Lind K, Raisamo S, Selin J, Kontto J.
europepmc +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
The role of offshore wind and solar PV resources in global low-carbon transition. [PDF]
Wen Y, Wu J, Lin P, Low YM.
europepmc +1 more source

