Results 141 to 150 of about 43,657 (340)
Interactive tables in the wild - visitor experiences with multi-touch tables in the Arctic exhibit at the Vancouver Aquarium [PDF]
, 2015 Funding: Alberta Innovates–Technology Futures (Alberta Ingenuity & iCORE), CFI, NSERC, and SMART Technologies.This report describes and discusses the findings from a field study that was conducted at the Vancouver Aquarium to investigate how visitors ...
Carpendale, Sheelagh, Hinrichs, Uta
core
A review of the FATIMA Yellow Sea field campaign research
Quarterly Journal of the Royal Meteorological Society, EarlyView.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
Environmental impact of exhaust emissions by Arctic shipping. [PDF]
Ambio, 2017 Schröder C, Reimer N, Jochmann P.
europepmc +1 more source
Wageningen University and Research centre : Your partner for sustainable development in the Arctic [PDF]
This position paper explores new claims in the Arctic region. These claims are closely connected to new developments in the region such as climate change and the utilisation of natural resources.
Bolman, B.C. +3 more
core +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.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 quantitative assessment of Arctic shipping in 2010-2014. [PDF]
Sci Rep, 2016 Eguíluz VM +3 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Future sea ice conditions and weather forecasts in the Arctic: Implications for Arctic shipping. [PDF]
Ambio, 2017 Gascard JC +7 more
europepmc +1 more source