Results 131 to 140 of about 6,317 (256)

50hPa geopotential height of Global Spectral Model 1.25 deg Resolution ft=72 120W-30W SH [PDF]

open access: yes
model: Global Spectral Model; resolution: 1.25; area: 120W-30W SH; level: 50hPa; element: geopotential height; forecast-time: 72; access: no restriction; use: unrestricted (WMO Res.40 Essential)

core  

Moisture Decomposition With Normal Modes in Global Data: Balanced and Unbalanced Components

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Decompositions with normal modes have been useful for numerous purposes, such as theoretical understanding of balanced and unbalanced circulations, and applications to data assimilation. However, normal mode decompositions have typically been formulated for dry dynamics without moisture.
Bradley Kumm   +3 more
wiley   +1 more source

300hPa geopotential height of Global Spectral Model 1.25 deg Resolution ft=84 60E-160W 20S-60N [PDF]

open access: yes
model: Global Spectral Model; resolution: 1.25; area: 60E-160W 20S-60N; level: 300hPa; element: geopotential height; forecast-time: 84; access: no restriction; use: unrestricted (WMO Res.40 Essential)

core  

Response of Boreal Winter Atmospheric Blocking to Topographic Forcing Induced by the Tibetan–Iranian Plateau

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Employing orographic perturbation experiments from a state‐of‐the‐art climate model, this study investigates the topographic forcing associated with the Tibetan–Iranian Plateau (TIP) in modulating Northern Hemisphere boreal winter blocking frequency.
Minghao Yang   +5 more
wiley   +1 more source

50hPa geopotential height of Global Spectral Model 1.25 deg Resolution ft=72 60E-160W 20S-60N [PDF]

open access: yes
model: Global Spectral Model; resolution: 1.25; area: 60E-160W 20S-60N; level: 50hPa; element: geopotential height; forecast-time: 72; access: no restriction; use: unrestricted (WMO Res.40 Essential)

core  

How to Predict the Phase Shift of “Warm Arctic–Cold Eurasia” Pattern Between Early and Late Winter?

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract The “Warm Arctic−Cold Eurasia” (WACE) pattern frequently undergoes distinct phase reversals between early and late winter, posing significant challenges for climate prediction. Current state‐of‐the‐art real‐time prediction models exhibit limited skill in forecasting WACE reversals, and the main reason is poor representation of key atmospheric ...
Zhicong Yin, Tianbao Xu
wiley   +1 more source

30hPa geopotential height of Global Spectral Model 1.25 deg Resolution ft=78 150E-120W SH [PDF]

open access: yes
model: Global Spectral Model; resolution: 1.25; area: 150E-120W SH; level: 30hPa; element: geopotential height; forecast-time: 78; access: no restriction; use: unrestricted (WMO Res.40 Essential)

core  

Tropical Pacific as a Pacemaker of Recent Decadal Anticyclonic Intensification Over the Barents–Kara Sea

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Under anthropogenic warming, a strengthened wintertime anticyclonic anomaly over the Barents–Kara Sea (BKS) has emerged as a hallmark of recent Arctic climate change. While local forcing from sea ice loss has been widely emphasized, the quantitative contribution of remote tropical forcing remains poorly constrained.
Zhongfang Liu   +5 more
wiley   +1 more source

400hPa geopotential height of Global Spectral Model 1.25 deg Resolution ft=36 60E-150E SH [PDF]

open access: yes
model: Global Spectral Model; resolution: 1.25; area: 60E-150E SH; level: 400hPa; element: geopotential height; forecast-time: 36; access: no restriction; use: unrestricted (WMO Res.40 Essential)

core  

Role of the Atmospheric Circulation in the Observed Warming Over Europe Using a Neural Network

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Quantifying the role of the atmospheric circulation in the temperature increase in Europe over the recent decades remains an open question. Here, we present an innovative dynamical adjustment framework based on a convolutional neural network (UNET), trained on CMIP6 simulations and fine‐tuned on reanalysis, to estimate the circulation‐induced ...
Enora Cariou   +3 more
wiley   +1 more source

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