Results 161 to 170 of about 1,187,144 (257)

Benchmarking the Dynamic Modes of Stratosphere‐Troposphere Coupling in Northern Annular Modes (NAM) in CMIP6 Models

Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract The downward influence of extreme stratospheric events is typically described by the evolution of the Northern Annular Mode (NAM) across atmospheric levels. However, the dynamics and uncertainty in vertical coupling are not fully resolved. By applying the linear inverse model (LIM) to daily, multi‐level NAM indices from reanalysis and CMIP6 ...
Gang Chen, Xiuyuan Ding
wiley   +1 more source

Recent slowing of Arctic sea ice melt tied to multidecadal NAO variability. [PDF]

Nat Commun
Wang C, Su H, Zhai C, Zheng J, Yu S, Mo H, Wang Y, Jiang L.   +7 more
europepmc   +1 more source

Evaluating Atmospheric River Impacts on Energy and Moisture Transport in the Arctic Using Different Detection Algorithms

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract Atmospheric rivers (ARs) significantly impact the Arctic climate system by enhancing atmospheric heat and moisture transport and altering the local energy budget. Developing AR detection tools (ARDTs) is critical yet challenging. This study evaluates 12 ARDTs in the Arctic to assess their performance in representing atmospheric heat ...
Chen Zhang, John J. Cassano, Mark W. Seefeldt, Wen‐wen Tung, Ankur Mahesh, William D. Collins   +5 more
wiley   +1 more source

Volcanic eruptions disrupt ENSO teleconnections with land summer temperature. [PDF]

Nat Commun
Zhang X, Li J, Xie SP, Liu F, Shi F, Gao C, Zhang H, Dong Q.   +7 more
europepmc   +1 more source

Sources of Subseasonal Predictability for Precipitation in South America Based on Model Experiments

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract This study investigates the sources of predictability underlying subseasonal precipitation skill over South America in existing subseasonal prediction systems. Using subseasonal re‐forecasts from the NCAR‐CESM2 model, we demonstrate that significant skill persists even when interannual variability is removed.
Kathy Pegion, Emily Becker, Ben P. Kirtman   +2 more
wiley   +1 more source

Extratropical transition pathways of tropical cyclones and their associated storm intensity and destructiveness. [PDF]

iScience
Cheung HM, Ho CH, Chu JE.
europepmc   +1 more source

Reconstruction of Global Monthly Upper-Level Temperature and Geopotential Height Fields Back to 1880

, 2010
T. Griesser, S. Brönnimann, A. Grant, T. Ewen, A. Stickler, J. Comeaux   +5 more
semanticscholar   +1 more source

The Moist Static Energy Budget of Australian Summer Monsoon Bursts in Climate Models: Insights From Present and Warming Climate Scenarios

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract This study investigates the complex dynamics of burst evolution in the Australian summer monsoon under present‐day and warmer climate conditions. Using reanalysis data, historical atmosphere‐only simulations (AMIP), and simulations with uniformly increased sea surface temperatures (+4K; AMIP+4K), we examine how seasonal‐mean precipitation and ...
Sarthak Mohanty, Christian Jakob, Martin S. Singh   +2 more
wiley   +1 more source

The dominant synoptic patterns and basic characteristics of regional snowstorms in Northern Xinjiang over the past 70 years. [PDF]

Sci Rep
Li C, Abulikemu A, Xu X, Zhang S, Li Z, Ma M, Abuduaini A, Kadier Z.   +7 more
europepmc   +1 more source

Evaluation of GFSv16 for Near‐Real‐Time Data Impact Studies During the Atmospheric River Reconnaissance Program 2022

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract Landfalling Atmospheric Rivers (ARs) are crucial for the water resources on the U.S. West Coast, but can also cause hazardous weather and water events there. Yet, accurately predicting AR impacts on precipitation remains a challenge. This study investigates the influence of dropsonde data from AR Reconnaissance (AR Recon) on improving weather ...
Vijay Tallapragada, Xingren Wu, Minghua Zheng, L. Delle Monache, F. Martin Ralph, Keqin Wu, Xiujun Wang, M. M. Nageswararao, Jia Wang, Anna M. Wilson, Jason Cordeira, Julie Kalansky, Daniel Steinhoff, Patrick Mulrooney   +13 more
wiley   +1 more source