Results 81 to 90 of about 14,047 (249)
Mediterranean tropical‐like cyclones show a clear seasonality, with September cyclones exhibiting the deepest convection and Ianos representing the most extreme case. While one or more dry intrusions are typically detected during the cyclone life cycle, Ianos instead features two much weaker descending airflows.
Daniele Nigro +4 more
wiley +1 more source
A new scale‐selective measure of curvature for meteorological fields
We introduce a novel diagnostic called curvature using radial variation (CURV) that quantifies the local cyclonic or anticyclonic curvature of mean‐sea‐level pressure or geopotential height gridded fields over selected scales. A depiction of how CURV values relate to differing cyclonic curvature is shown in the figure.
Nigel Roberts +3 more
wiley +1 more source
Discretisations, Constraints and Diffeomorphisms in Quantum Gravity [PDF]
Contribution for a special issue of SIGMA on Loop Quantum Gravity and ...
Bahr, B., Gambini, R., Pullin, J.
openaire +5 more sources
Multi‐scale flow analysis for scale‐aware urban canopy models
We found that scale‐aware models are necessary when numerical weather prediction models approach hectometric resolution, which is associated with a characteristic length‐scale of morphological heterogeneity. This morphology‐dependent length‐scale indicates that resolved and unresolved heterogeneity are equally important.
Jingzi Huang, Maarten van Reeuwijk
wiley +1 more source
Despite advances in turbulence modelling, the Smagorinsky model remains a popular choice for large eddy simulation (LES) due to its simplicity and ease of use.
Dhruv Mehta +3 more
doaj +1 more source
Feedback Linearisation with State Constraints
ABSTRACT Feedback Linearisation (FBL) is a widely used technique that applies feedback laws to transform input‐affine nonlinear control systems into linear control systems, allowing for the use of linear controller design methods such as pole placement.
Songlin Jin, Yuanbo Nie, Morgan Jones
wiley +1 more source
Discretisation Errors in Landau Gauge on the Lattice [PDF]
Lattice discretisation errors in the Landau gauge condition are examined. An improved gauge fixing algorithm in which &Ogr; (a2) errors are removed is presented. &Ogr; (a2) improvement of the gauge fixing condition improves comparison with the continuum Landau gauge in two ways: (1) through the elimination of &Ogr; (a2) errors and (2 ...
Bonnet, F. +4 more
openaire +4 more sources
ABSTRACT Achieving the Sustainable Development Goals (SDGs) requires transparent and accountable local governments, yet little is known about the structural drivers of municipal transparency. This study introduces a machine learning approach to predict municipal transparency using the Bidimensional Transparency Index (BTI), which measures both the ...
Ana M. Plata‐Díaz +3 more
wiley +1 more source
Discretisation of Data in a Binary Neural k-Nearest Neighbour Algorithm [PDF]
This paper evaluates several methods of discretisation (binning) within a k-Nearest Neighbour predictor. Our k-NN is constructed using binary neural networks which require continuous-valued data to be discretised to allow it to be mapped to the binary ...
Austin, Jim, Hodge, Victoria Jane
core +4 more sources
ABSTRACT A major transformation in China's energy mix is underway as the country pursues carbon neutrality by 2060, posing significant structural challenges for Australia as a major exporter of carbon‐intensive resources. This study examines the economic impacts of China's decarbonisation on Australia by applying static and dynamic input–output (IO ...
Jinyong (Edward) Sung
wiley +1 more source

