Results 21 to 30 of about 615 (153)

The Effect of Solar Activity on Stratospheric Temperature Over Iraq for Period 1948-2014

open access: yesAl-Mustansiriyah Journal of Science, 2022
Stratospheric temperature changes are very important for climate systems through atmospheric circulation and stratosphere-troposphere coupling. The relationship between solar modulation potential SMP as a measure of solar activity and variation of ...
Muthanna A. Al-Tameemi   +2 more
doaj   +1 more source

Tropospheric eddy feedback to different stratospheric conditions in idealised baroclinic life cycles [PDF]

open access: yesWeather and Climate Dynamics, 2021
A pronounced signature of stratosphere–troposphere coupling is a robust negative anomaly in the surface northern annular mode (NAM) following sudden stratospheric warming (SSW) events, consistent with an equatorward shift in the tropospheric jet.
P. Rupp, T. Birner
doaj   +1 more source

Stratosphere-troposphere coupling during stratospheric extremes in the 2022/23 winter

open access: yesWeather and Climate Extremes, 2023
Using the ERA5 reanalysis, sea surface temperature, sea ice observations, and the real-time multivariate Madden-Julian Oscillation (MJO) index, the evolution of the stratospheric extreme circulation in the winter of 2022/2023 is explored.
Qian Lu   +5 more
doaj   +1 more source

Scaling of Eliassen‐Palm flux vectors

open access: yesAtmospheric Science Letters, 2021
Eliassen‐Palm flux is one of the main diagnostics tools for wave propagation and wave‐mean flow interaction in atmospheric dynamics and in particular stratosphere‐troposphere coupling.
Martin Jucker
doaj   +1 more source

The impact of different CO2 and ODS levels on the mean state and variability of the springtime Arctic stratosphere

open access: yesEnvironmental Research Letters, 2023
Rising greenhouse gases (GHG) and decreasing anthropogenic ozone-depleting substances (ODS) are the main drivers of the stratospheric climate evolution in the 21st century.
Jessica Kult-Herdin   +4 more
doaj   +1 more source

Reaction Rate Coefficients and Adduct Formation in the Cl Atom + (E)‐CF3CF2CH=CHCF2CF3 Reaction

open access: yesInternational Journal of Chemical Kinetics, EarlyView.
ABSTRACT In this work, rate coefficients for the Cl‐atom + (E)‐CF3CF2CH═CHCF2CF3 (HFO‐153‐10mczz, F22E) gas‐phase reaction were measured as a function of temperature and pressure, k(243–323 K, 50–300 Torr), using a pulsed laser photolysis‐resonance fluorescence (PLP‐RF) technique.
Maria‐Areti I. Spanoudaki   +3 more
wiley   +1 more source

The 1986–1989 ENSO cycle in a chemical climate model [PDF]

open access: yesAtmospheric Chemistry and Physics, 2006
A pronounced ENSO cycle occurred from 1986 to 1989, accompanied by distinct dynamical and chemical anomalies in the global troposphere and stratosphere.
S. Brönnimann   +7 more
doaj  

Tropopause-level planetary wave source and its role in two-way troposphere–stratosphere coupling [PDF]

open access: yesWeather and Climate Dynamics, 2020
Atmospheric planetary waves play a fundamental role in driving stratospheric dynamics, including sudden stratospheric warming (SSW) events. It is well established that the bulk of the planetary wave activity originates near the surface.
L. Boljka, T. Birner
doaj   +1 more source

The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti   +3 more
wiley   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy