Results 51 to 60 of about 911 (133)
Multidecadal Changes in ENSO Drive a Substantial Decline in West Antarctic Sea Ice Predictability
Abstract ENSO teleconnections are a key source of Antarctic sea‐ice predictability, particularly in the Antarctic Dipole (ADP) region, but whether this predictability remains stable under the recent transition toward Central Pacific (CP) El Niño is unclear.
Yunhe Wang +4 more
wiley +1 more source
Moderate Indian Ocean Dipole dominates spring fire weather conditions in southern Australia
Patterns of the Indian Ocean Dipole (IOD) exhibit strong diversity, ranging from being dominated by the western tropical Indian ocean (WTIO) to by the eastern tropical Indian ocean.
Xuya Ren, Li Zhang, Wenju Cai, Lixin Wu
doaj +1 more source
Abstract Near‐surface wind regimes govern critical Earth system processes including dust mobilization, ocean mixing, and wildfire spread, yet their multi‐decadal evolution under anthropogenic forcing remains poorly constrained. Here we quantify extreme wind frequency changes (1981–2024) using ERA5‐Land reanalysis with a monthly aggregation approach ...
Adil Salhi, Essam Heggy
wiley +1 more source
Like most of the countries in the Great Horn of Africa, Tanzania is prone to floods and droughts. Anomalously wet years over the region are associated with low-level convergence, the advection of moisture from both the Indian Ocean and the Congo and an ...
Paul Tilwebwa Shelleph Limbu +1 more
doaj +1 more source
Evaluation of High‐Resolution CORDEX‐CMIP6 Ocean Temperature Simulations for the Great Barrier Reef
Abstract Longevity of the Great Barrier Reef (GBR) relies on specific oceanic and atmospheric conditions that are quickly deteriorating under climate change. While global climate models (GCMs) provide insights into large‐scale processes, they often lack the resolution to capture regional nuances affecting the GBR.
Sun W. Kim +3 more
wiley +1 more source
Forecasting the Indian Ocean Dipole (IOD) is crucial because of its significant impact on regional and global climates. While traditional dynamic and empirical models suffer from systematic errors due to nonlinear processes, convolutional neural networks
Yuqi Tao +4 more
doaj +1 more source
Abstract Understanding the drivers of interannual‐to‐decadal hydroclimatic variability in the southern Himalaya (SH) has been constrained by the scarcity of long‐term, spatially comprehensive proxy records and data assimilation products. Here, we combine the Monsoon Asia Drought Atlas (MADA) and the Paleo Hydrodynamics Data Assimilation (PHYDA) to ...
Kexin Wang +6 more
wiley +1 more source
A Deep Learning Model for Decadal Indian Ocean Dipole
This study develops a deep learning model based on a bidirectional gated recurrent unit (BiGRU) to predict the decadal Indian Ocean Dipole (IOD). Using CMIP6 DCPP models, we first assess IOD predictability, then show the BiGRU model achieves substantially higher skill than traditional dynamical models.
Sitraka Ny Aina Raharivelo +4 more
wiley +1 more source
The Indian Ocean Dipole (IOD) and Tripole (IOT) represent primary modes of interannual variability in the Indian Ocean, impacting both regional and global climate.
Mengyan Chen +5 more
doaj +1 more source
An Index to Characterize the South Indian Ocean High‐Pressure System and Its Variability
The South Indian Ocean subtropical high steers rainfall and drought across southern Africa, Australia, and the surrounding islands, yet it lacked a consistent measure of its behavior. Using an index built from 84 years of atmospheric pressure data, this study shows the high alternates between two distinct states, a strong southeastern position and a ...
Kwesi Akumenyi Quagraine +5 more
wiley +1 more source

