Results 91 to 100 of about 55,162 (247)
Comparison of spatial downscaling methods of general circulation model results to study climate variability during the Last Glacial Maximum [PDF]
The extent to which climate conditions influenced the spatial distribution of hominin populations in the past is highly debated. General circulation models (GCMs) and archaeological data have been used to address this issue.
G. Latombe +7 more
doaj +1 more source
Climatic Specific Energy Rating Analysis of Outdoor PV Field Data
The study evaluates the Climatic Specific Energy Rating (CSER) of Photovoltaic device according to IEC 61853 standard series. It explores the use of long‐term PV outdoor field data in order to understand how the length and seasonality of the data acquisition period affects the reliability of the CSER parameter. It provides important insights for the PV
Teodora S. Lyubenova +2 more
wiley +1 more source
We study the impact of observation‐error correlations in data assimilation using both a simple idealised system and a more realistic configuration. A spectral analysis of data assimilation in the idealised system allows us to gain insights on the effect of observation‐error correlations, which are then validated using the realistic configuration.
Olivier Goux +4 more
wiley +1 more source
Adpative image interpolation [PDF]
Simple interpolation techniques like nearest neighbor, bilinear, bicubic in the past had gained popularity due to their simplicity and low computational cost. But with the advent of high performing machines, demand for better interpolation methods at the
Murmu, A K
core
Ensemble‐based statistical interpolation of atmospheric variables near the surface
This study introduces ensemble statistical interpolation (EnSI), a sequential implementation of ensemble optimal interpolation (EnOI) for spatial analysis of near‐surface atmospheric variables. EnSI extends traditional OI by incorporating a multi‐scale loop, consecutive observation times, and cross‐correlations between variables, providing more ...
Cristian Lussana +3 more
wiley +1 more source
Interpolation with bilinear differential forms
We present a recursive algorithm for modeling with bilinear differential forms. We discuss applications of this algorithm for interpolation with symmetric bivariate polynomials, and for computing storage functions for autonomous ...
Pendharkar, Ishan +2 more
core
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation
Dilated Convolution with Learnable Spacings (DCLS) is a recently proposed variation of the dilated convolution in which the spacings between the non-zero elements in the kernel, or equivalently their positions, are learnable. Non-integer positions are handled via interpolation. Thanks to this trick, positions have well-defined gradients.
Khalfaoui-Hassani, Ismail +2 more
openaire +3 more sources
Evaluating machine‐learning models for wind‐speed downscaling from ECMWF‐IFS data
We benchmark recent machine‐learning methods for downscaling wind speeds from a low‐resolution 9‐km model input to 1‐km predictions. We include recent super‐resolution approaches and transformer‐based architectures and propose Windflow‐SRnet. The models are trained with input data from the ECMWF‐IFS numerical weather model to predict label data from ...
William Ericson +5 more
wiley +1 more source
The impact of Arctic sea‐ice loss on winter weather in the British Isles
Arctic sea‐ice loss shifts the North Atlantic jet and storm track equatorward, and results in a more negative North Atlantic Oscillation and more positive East Atlantic and Scandinavian patterns. Strong extratropical cyclones weaken and become less frequent for the British Isles, but there is model disagreement for precipitation, surface winds, and ...
Stephanie Hay +7 more
wiley +1 more source
A study of a free convective boundary layer using a parcel‐based Lagrangian model
We study the development of a convective boundary layer forced by surface heating and growing into a stably stratified atmosphere above. We compare our results with several recent comprehensive direct numerical simulation (DNS) studies and find broad agreement, and often close quantitative agreement, despite fundamental differences in the numerical ...
Samuel Wallace +3 more
wiley +1 more source

