Results 141 to 150 of about 84,446 (258)
Hierarchical Testing of a Hybrid Machine Learning‐Physics Global Atmosphere Model
Abstract Machine learning (ML)‐based models have demonstrated high skill and computational efficiency, often outperforming conventional physics‐based models in weather and subseasonal predictions. While prior studies have assessed their fidelity in capturing synoptic‐scale atmospheric dynamics, their performance across timescales and under out‐of ...
Ziming Chen +11 more
wiley +1 more source
On the Future of Extreme Rainfall in New Zealand
Abstract Extreme rainfall is intensifying under climate change, but projected changes in the intensity, frequency, and spatial extent of extremes are not yet well constrained for smaller nations like New Zealand. Here, we use high‐resolution (∼12 km) dynamically downscaled CMIP6 climate simulations to examine future changes in annual maximum one‐day ...
Muhammad Fikri Sigid +2 more
wiley +1 more source
Abstract Earth's long period background seismic wavefield is dominated by two distinct processes that couple ocean wave energy to a global microseism wavefield. We assess global microseism intensity in the secondary (4–10 s) and primary (14–20 s) bands, and across eight 2 s‐wide period bands between 4 and 20 s.
Richard C. Aster +4 more
wiley +1 more source
ABSTRACT Previous studies of teleconnection (TC) impacts on Terrestrial Water Storage Anomalies (TWSA) rarely focus on Vietnam or on the nonstationary nature of TC–TWSA relationships. This study addresses these gaps by examining both stationary and nonstationary TC influences on TWSA using correlation analysis (Pearson and cross‐spectral methods) and ...
Hoa Thi Pham +2 more
wiley +1 more source
En el noroeste de Chihuahua, sitio Mesa de las Guacamayas, catalogada como “Área Natural Protegida” ( ANP ) para anidamiento de la cotorra serrana, se desarrolló una serie dendrocronológica con abeto Douglas ( Pseudotsuga menziesii ) con una extensión
José Villanueva Díaz +6 more
doaj
In recent decades, vertebrates, particularly birds, have exhibited notable morphological changes in response to climate change. In birds, these temporal trends usually entail a decrease in body mass and an increase in wing length, sometimes interpreted as a compensatory strategy to maintain migration.
Giulia Masoero, Alberto Tamietti
wiley +1 more source
This study applies stochastic rainfall models combining Markov Chains with gamma and mixed exponential distributions to a semi‐arid climate in Northeast Brazil. Model structures were evaluated using Bayesian Information Criterion (BIC), with maximum likelihood (MLM) for parameter estimation and cumulative distribution functions (CDFs) for validation ...
Gabriel Magno Cavalcante Calado +5 more
wiley +1 more source
Submesoscale Vertical Heat Flux Amplifies a Cross‐Scale Positive Feedback in the Western Arabian Sea
Abstract High‐resolution simulations reveal that summer monsoon‐induced upwelling in the western Arabian Sea triggers vigorous submesoscale vertical heat flux (SVHF), challenging the conventional view of winter‐dominant submesoscale activity in open‐ocean settings.
Chaoliang Li, Peng Zhan
wiley +1 more source
Influence of Tibetan Plateau Snow Cover on ENSO Variability via the Dust‐Iron Fertilization
Abstract The El Niño–Southern Oscillation (ENSO) and Tibetan Plateau, as key drivers of Earth's climate system, exert bidirectional controls that complicate causal attribution. Here, we integrate satellite‐derived Tibetan Plateau snow cover (TPSC) with causal inference to establish TPSC‐ENSO conversion factor.
Chao Zhang +4 more
wiley +1 more source
Physics‐Constrained Network for Enhanced Extended‐Range Precipitation Forecasting in East Asia
Abstract The complex summer weather in East Asia poses significant challenges of precipitation forecasting. Despite the promising capabilities of deep learning models in conventional forecasting tasks, their black‐box nature limits physical interpretability.
Yudan Wang +7 more
wiley +1 more source

