Results 251 to 260 of about 67,547 (290)

Impact of El Niño–Southern Oscillation on European climate

, 2007
S. Brönnimann
semanticscholar   +1 more source

The Impact of Large‐Scale Land Surface Conditions on the South American Low‐Level Jet

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract The South American low‐level jet (SALLJ) is a major source of moisture transport to southeastern South America, influencing rainfall, agriculture, and hydropower. While past research emphasized atmospheric controls, we examine the role of antecedent soil moisture in modulating jet dynamics.
Chu‐Chun Chen, Francina Dominguez, Sean A. Matus   +2 more
wiley   +1 more source

Evolution of El Niño–Southern Oscillation and global atmospheric surface temperatures

, 2002
K. Trenberth, J. Caron, D. Stepaniak, S. Worley   +3 more
semanticscholar   +1 more source

Independent Short‐ and Longwave Pathways for a Zonally Asymmetric Northern Hemisphere Temperature Response to Tropical Volcanic Eruptions

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Stratospheric sulfate aerosols from tropical volcanic eruptions alter surface air temperatures. Fundamentally, this is due to two different properties of the aerosols: Their ability to reflect incoming solar shortwave radiation, and their ability to absorb terrestrial longwave radiation.
L. S. Andreasen, T. A. Shaw, M. Günther, C. Timmreck   +3 more
wiley   +1 more source

Modal Interference Drives Madden‐Julian Oscillation Evolution and Predictability

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract A data‐driven dynamical filter is developed to characterize Madden‐Julian Oscillation (MJO) variability, by representing tropical variability with nonorthogonal empirical‐dynamical modes that allow for constructive and destructive interference.
David H. Marsico, John R. Albers, Matthew Newman, Maria Gehne, Juliana Dias, George N. Kiladis, Emerson LaJoie, Yan Wang   +7 more
wiley   +1 more source

The Extent of El Niño and La Niña Influence on Australian Rainfall

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract El Niño‐Southern Oscillation (ENSO), where the central‐east tropical Pacific is unusually warm (El Niño) or cold (La Niña), is known to influence Australian rainfall. Here, we detail the extent of ENSO's influence on Australian monthly rainfall distributions and clarify its many complexities.
Peter van Rensch, Shayne McGregor, Ailie Gallant   +2 more
wiley   +1 more source

Incidence of the El Niño-Southern Oscillation Cycle on the Existing Fundamental Niche and Establishment Risk of Some Anastrepha Species (Diptera-Tephritidae) of Horticultural Importance in the Neotropics and Panama. [PDF]

Insects
Degracia AB, Ávila Jiménez J, Alvarado AB, Valdespino RA, Altamiranda-Saavedra M.   +4 more
europepmc   +1 more source

Temperature Is Surpassing Precipitation as the Dominant Driver of Flash Drought Acceleration Under Climate Warming

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Flash droughts (FDs), characterized by rapid soil moisture depletion, are typically driven by multiple factors including precipitation deficits, high temperature, increased radiation, strong winds, and enhanced land‐atmosphere coupling. However, the dominant driver and its temporal evolution remain unclear.
Feng Ma, Hua Li
wiley   +1 more source

Distribution of the N₂ -fixing cyanobacterium Candidatus Atelocyanobacterium thalassa in the Mexican Pacific upwelling system under two contrasting El Niño Southern Oscillation conditions. [PDF]

Environ Microbiol Rep
Vieyra-Mexicano C, Souza V, Pajares S.
europepmc   +1 more source

ENSO‐CausalNet: Integrating Causal Inference Into Deep Learning for Robust ENSO Prediction

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Climate mode interactions are inherently causal. While deep learning excels at climate prediction, particularly for El Niño‐Southern Oscillation (ENSO), its interpretability remains limited to validating known correlations. Here we propose a paradigm integrating causal inference into data‐driven modeling to enable predictions based on genuine ...
Yuehan Cui, Bin Mu, Shijin Yuan, Bo Qin
wiley   +1 more source