Results 191 to 200 of about 506,961 (273)

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

open access: yesQuarterly 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   +7 more
wiley   +1 more source

Indian and African monsoons: Trajectories and interactions

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The catch basin of marine air particles of the Indian monsoon is the tropical Indian ocean, whilst that of the African monsoon is the east tropical Atlantic. However, the oscillations induced by the monsoonal interactions favour particle exchange between the two basins. These transitions are abrupt in the presence of stochastic resonance. The monsoonal
Giovanni A. Dalu, Marina Baldi
wiley   +1 more source

COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos   +4 more
wiley   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf   +2 more
wiley   +1 more source

Machine learning predictions from unpredictable chaos. [PDF]

open access: yesJ R Soc Interface
Jiang J   +9 more
europepmc   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía   +3 more
wiley   +1 more source

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