Results 161 to 170 of about 167,945 (301)

Performance evaluation of regional weather predictions with the Model for Prediction Across Scales – Atmosphere (MPAS‐A) over the Maritime Continent

Quarterly Journal of the Royal Meteorological Society, EarlyView.
As part of the ongoing efforts to develop next‐generation forecasting systems at the Meteorological Service Singapore, this study presents the setup and evaluation of the SINGV_NG(MPAS) system. Overall, the SINGV_NG(MPAS) system outperforms European Centre for Medium‐Range Weather Forecasts (ECMWF) deterministic forecasts in capturing heavy rainfall ...
I‐Han Chen, Pratiman Patel, Kalli Furtado, Wei Wang, Zhiquan Liu, Dale Barker, Jimy Dudhia, Hugh Zhang   +7 more
wiley   +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, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +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

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Collaborative Sampling and Imaging of Phytoplankton Communities by Two Long‐Range Autonomous Underwater Vehicles Using Acoustic Tracking and Messaging

Journal of Field Robotics, EarlyView.
ABSTRACT Collaborative operation of multiple autonomous underwater vehicles (AUVs) can effectively achieve scientific goals that are hard to achieve by independently operated vehicles. Some science payloads are large, expensive, and need to be installed in the vehicle's nose cone. A vehicle can only carry one such payload.
Yanwu Zhang, Brian Kieft, Monique Messié, Quinn Shemet, Brett W. Hobson, Paul Roberts, Brent Jones, Michael Anderson, Thom Maughan, Varsha Senthil   +9 more
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Spatio-temporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains [PDF]

, 2013
Goossens, Rudi, Lhermitte, S, Van De Kerchove, Ruben, Veraverbeke, Sander   +3 more
core   +2 more sources

Extended Strahler Ordering to Distinguish Mapped River Channels From Overland Flow Pathways and Consistently Compare Digital Networks

River Research and Applications, EarlyView.
ABSTRACT Digital networks are virtual representations of freshwater systems that provide important inputs to, and mapping of, river classifications, simulation models, and quantitative data analyses for policy, planning, and management. Strahler order has often been used to characterize network configuration and as a proxy indicator of river channel ...
Doug Booker, Matt Wilkins, Clare Wilkinson, Rachel Smith   +3 more
wiley   +1 more source

Asymmetry in snow-water nexus in mountain areas mainly governed by meteorological seasonal changes. [PDF]

Sci Rep
Pimentel R, Notarnicola C.
europepmc   +1 more source

Emissivity of Frozen Regions Retrieved from Aquarius Measurements [PDF]

The land emissivity model used in the Aquarius data processing has been updated for the latest data release (V5.0). In order to improve the estimates of the brightness temperatures of frozen regions, the new model uses values of surface emissivity that ...
Dinnat, E. P., Hong, L., Le Vine, D. M., Soldo, Y.   +3 more
core   +1 more source