Results 111 to 120 of about 32,144 (182)

Systematic Benchmarking of Climate Models: Methodologies, Applications, and New Directions

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract As climate models become increasingly complex, there is a growing need to comprehensively and systematically assess model performance with respect to observations. Given the increasing number and diversity of climate model simulations in use, the community has moved beyond simple model intercomparison and toward developing methods capable of ...
Birgit Hassler, Forrest M. Hoffman, Rebecca Beadling, Ed Blockley, Bo Huang, Jiwoo Lee, Valerio Lembo, Jared Lewis, Jianhua Lu, Luke Madaus, Elizaveta Malinina, Brian Medeiros, Wilfried Pokam, Enrico Scoccimarro, Ranjini Swaminathan   +14 more
wiley   +1 more source

A Physically Consistent Particle Size Distribution Modeling of the Microphysics of Precipitation for Weather and Climate Models

Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract The probability density function of drops is difficult to model. Current approaches make assumptions that are often problematic, as they allow negative values for the mean of the distribution. While the statistical goodness of fit of those models might be reasonable for precipitation radar estimation, the situation is unsatisfactory if a fully
Francisco J. Tapiador, Kyuhee Shin, Livia J. Leganés, Kyo‐Sun Lim, Gabriela Juárez, Wonbae Bang, Andrés Navarro, Raúl Martín, Sun‐Young Park, GyuWon Lee   +9 more
wiley   +1 more source

Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances

We address the problem of efficiently computing Wasserstein distances for multiple pairs of distributions drawn from a meta-distribution. To this end, we propose a fast estimation method based on regressing Wasserstein distance on sliced Wasserstein (SW) distances.
Nguyen, Khai, Nguyen, Hai, Ho, Nhat
openaire   +2 more sources

Bridging Modalities: An Analysis of Cross-Modal Wasserstein Adversarial Translation Networks and Their Theoretical Foundations

Mathematics
What if machines could seamlessly translate between the visual richness of images and the semantic depth of language with mathematical precision? This paper presents a theoretical and empirical analysis of five novel cross-modal Wasserstein adversarial ...
Joseph Tafataona Mtetwa, Kingsley A. Ogudo, Sameerchand Pudaruth   +2 more
doaj   +1 more source

A Stable Edge‐Aware GAN Approach for Data Augmentation and Privacy‐Preserving High‐Fidelity CT Synthesis

Applied AI Letters, Volume 7, Issue 1, February 2026.
The framework addresses limitations of conventional GANs by integrating learnable edge kernels and interpolated skip connections with an edge‐aware discriminator, enabling stable training and improved anatomical fidelity. The resulting synthetic CT images exhibit sharper edges, higher realism, and strong diagnostic plausibility, supporting privacy ...
Raja Vavekanand, Muhammad Turab, Teerath Kumar   +2 more
wiley   +1 more source

Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves

International Journal of Computer Science in Sport
Studies to understand the shooting preferences of basketball players relied exclusively on data on shot location, which did not lead to concrete understandings because they contained no information on how they moved to that location.
Yamada Kazuhiro, Fujii Keisuke
doaj   +1 more source

Advancing scenario generation in large-scale clean energy bases via enhanced hyperparameter optimization techniques

International Journal of Electrical Power & Energy Systems
With the rapid expansion of large-scale clean energy bases in major energy-producing countries, high-quality scenario generation has become essential for effective energy management and intelligent scheduling.
Bo Wu, Xiuli Wang, Bangyan Wang, Shixiong Qi, Wenduo Sun, Qihang Huang, Xiang Ma, Yaohong Xie   +7 more
doaj   +1 more source

Discussion of ‘Robust distance covariance’ by S. Leyder, J. Raymaekers and P. J. Rousseeuw

International Statistical Review, EarlyView.
Hallin Marc, Davide La Vecchia, Hang Liu, Xinyi Xu   +3 more
wiley   +1 more source

RESIdual STability (RESIST) Calibration for Improved Hydrological Model Time Generalizability

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Hydrological models are calibrated on specific periods based on how well simulations match streamflow observations by selecting the parameter vector(s) that provide the highest accuracy. This accuracy can decrease significantly during extrapolation to periods not seen during calibration, especially when they are characterized by different ...
Paul C. Astagneau, Jonas Peters, Sandra Pool, Eduardo Muñoz‐Castro, Manuela I. Brunner   +4 more
wiley   +1 more source

Distance-Based Tree-Sliced Wasserstein Distance

To overcome computational challenges of Optimal Transport (OT), several variants of Sliced Wasserstein (SW) has been developed in the literature. These approaches exploit the closed-form expression of the univariate OT by projecting measures onto (one-dimensional) lines.
Tran, Hoang V., Nguyen, Khoi N. M., Pham, Trang, Chu, Thanh T., Le, Tam, Nguyen, Tan M.   +5 more
openaire   +2 more sources