Spatial–Temporal Temperature Forecasting Using Deep-Neural-Network-Based Domain Adaptation by Vu Tran, François Septier, Daisuke Murakami, Tomoko Matsui

“…Accurate temperature forecasting is critical for various sectors, yet traditional methods struggle with complex atmospheric dynamics. Deep neural networks (DNNs), especially transformer-based DNNs, offer potential advantages, but face challenges with domain adaptation across different geographical regions. …”
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Optical observations of thunderstorms from the International Space Station: recent results and perspectives by Torsten Neubert, Francisco J. Gordillo-Vázquez, Heidi Huntrieser

“…The new infrastructure in space offers an opportunity to advance our understanding of the role of thunderstorms in atmospheric dynamics and climate change. Here, we discuss how observations from the ISS or other LEO platforms with instruments that view the atmosphere at slanted angles can complement the measurements from primarily nadir-oriented instruments of present and planned missions. …”
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Diverging Trends in Rain‐On‐Snow Over High Mountain Asia by Fadji Z. Maina, Sujay V. Kumar

“…Because of the strong physical heterogeneity and atmospheric dynamics of HMA, ROS characteristics and trends are region‐dependent and ROS occurs predominantly over the Indus, Ganges‐Brahmaputra, and northwestern basins. …”
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Comparing storm resolving models and climates via unsupervised machine learning by Griffin Mooers, Mike Pritchard, Tom Beucler, Prakhar Srivastava, Harshini Mangipudi, Liran Peng, Pierre Gentine, Stephan Mandt

“…This enables an intercomparison of nine GSRMs based on their high-dimensional simulation data (2D vertical velocity snapshots) and reveals that only six are similar in their representation of atmospheric dynamics. Furthermore, we uncover signatures of the convective response to global warming in a fully unsupervised way. …”
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Two-dimensional simulations of katabatic layers observed during the GIMEX experiment by A. Elkhalfi, A. Elkhalfi

“…</b> Meteorology and atmospheric dynamics (mesoscale meteorology; polar meteorology; turbulance)…”
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Stochastic Parameterization Using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model by A. Mukherjee, Y. Aydogdu, T. Ravichandran, N. Sri Namachchivaya

“…This paper deals with the parameterization of the Lorenz-96 (Lorenz, 1995) model with two time-scales that mimics mid-latitude atmospheric dynamics with microscopic convective processes. …”
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Isolating aerosol-climate interactions in global kilometre-scale simulations by Herbert, R, Williams, A, Weiss, P, Watson-Parris, D, Dingley, E, Klocke, D, Stier, P

“…In our month-long simulations, we find that the aerosol impact on clouds and precipitation exhibits strong regional dependence, highlighting the complex interplay with atmospheric dynamics. The impact of ARI and ACI on clouds in isolation shows some consistent behaviour, but the magnitude and additive nature of the effects are regionally dependent. …”

Exploring the 3D structure of ultra-hot Jupiters using ground-based high-resolution spectroscopy by Wardenier, JP

“…The code accounts for Doppler shifts induced by planet rotation and atmospheric dynamics. We apply our framework to the ultra-hot Jupiter WASP-76b, and we demonstrate that the absorption lines of different chemical species are subject to different Doppler shifts. …”

Weak seasonality on temperate exoplanets around low-mass stars by Tan, X

“…Complications can arise from various factors, including varying atmospheric metallicity, clouds, and atmospheric dynamics. Given the eccentricity and obliquity, the seasonal response is expected to be systematically weaker for gaseous exoplanets around low-mass stars and stronger for those around more massive stars. …”

On skillful decadal predictions of the subpolar North Atlantic by Ines Höschel, Sebastian Illing, Jens Grieger, Uwe Ulbrich, Ulrich Cubasch

“…The cooling patches are critical since the resulting gradients in sea surface temperature and their effect on atmospheric dynamics deviate from observations, and, moreover, hinder the skillful prediction of atmospheric variables.…”
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Arctic cyclones have become more intense and longer-lived over the past seven decades by Xiangdong Zhang, Han Tang, Jing Zhang, John E. Walsh, Erika L. Roesler, Benjamin Hillman, Thomas J. Ballinger, Wilbert Weijer

“…Recently enhanced baroclinicity over large areas of the Arctic and midlatitudes suggests more complicated atmospheric dynamics than what is hypothesized with Arctic-amplification-induced decrease in meridional temperature gradients.…”
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Ozone and water vapour in the austral polar stratospheric vortex and sub-vortex by E. Peet, V. Rudakov, V. Yushkov, G. Redaelli, A. R. MacKenzie

“…</b> Meteorology and atmospheric dynamics polar meteorology) – Atmospheric composition and structure (middle atmosphere–composition and chemistry)…”
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Modelling the wintertime response to upper tropospheric and lower stratospheric ozone anomalies over the North Atlantic and Europe by I. Kirchner, D. Peters

“…</b>Meteorology and atmospheric dynamics (general circulation; radiative processes; synoptic-scale meteorology)…”
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Discussing sources of the β-term in a vorticity equation in rotating coordinates by Xiuming Wang, Shijun Liu, Huan Tang, Hua Liu

“…In the study of atmospheric dynamics, the vorticity equation in a rotating coordinate system plays a crucial role. …”
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Enhanced Troposphere Tomography: Integration of GNSS and Remote Sensing Data With Optimal Vertical Constraints by Saeed Izanlou, Saeid Haji-Aghajany, Yazdan Amerian

“…Wet refractivity modeling, critical for understanding atmospheric dynamics, has shown promising advancements. Leveraging tropospheric data from the Ocean and Land Color Instrument (OLCI), this research addresses the issue of empty voxels that impede GNSS-based tomography due to satellite and receiver geometries. …”
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The interplanetary magnetic field influences mid-latitude surface atmospheric pressure by M M Lam, G Chisham, M P Freeman

“…Thus, a relatively localized small-amplitude solar influence on the upper atmosphere could have an important effect, via the nonlinear evolution of atmospheric dynamics, on critical atmospheric processes.…”
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What drives the observed variability of HCN in the troposphere and lower stratosphere? by E. Mahieu, P. Bernath, P. I. Palmer, H. C. Pumphrey, Q. Li

“…In the mid and upper stratosphere, atmospheric dynamics progressively exerts more influence on HCN variations. …”
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A Comparison of the Characteristics of Drought during the Late 20th and Early 21st Centuries over Eastern Europe, Western Russia and Central North America by Anthony R. Lupo, Nina K. Kononova, Inna G. Semenova, Maria G. Lebedeva

“…The relationship between drought and the character of the atmosphere, using the Dzerzeevsky weather and climatic classification scheme, atmospheric blocking, teleconnections, and information entropy, was used to study the atmospheric dynamics. The National Centers for Environmental Prediction (NCEP) re-analyses dataset archived at the National Center for Atmospheric Research (NCAR) in Boulder, CO, USA, is used to examine the synoptic character and calculate the dynamic quantities for these dry events. …”
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Fast, Upward, Long-Lasting, Transit Echoes as an Evidence of New-Type of Meteor-Trail Leader Discharge in the Summer Polar Upper Mesosphere by Young-Sook Lee, Sheila Kirkwood, Young-Sil Kwak

“…The upward motion cannot be explained with the dynamics of penetrating meteors or by atmospheric dynamics. The observation proposes that secondary produced plasma jets occurring from meteor trail are possibly responsible for upward fast moving echoes. …”
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A New Look at Storm Separation Technique in Estimation of Probable Maximum Precipitation in Mountainous Areas by Yifan Liao, Bingzhang Lin, Xiaoyang Chen, Hui Ding

“…The World Meteorological Organization (WMO) has recommended the step-duration-orographic-intensification-factor (SDOIF) method since 2009 as an effective storm separation technique to identify the amounts of precipitation caused by topography from those caused by atmospheric dynamics. The orographic intensification factors (OIFs) are usually developed based on annual maximum rainfall series under such assumption that the mechanism of annual maximum rainfalls is close to that of the PMP-level rainfall. …”
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