output
19982026
most citedSeven temperate terrestrial planets around the nearby ultracool dwarf star TRAPPIST-1

1.6k citations

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31 papers · 1 filter

astro-ph.IM2024★ 2 cited

The RISTRETTO simulator: Exoplanet reflected spectra

M. Bugatti, C. Lovis, F. Pepe +4

The upcoming Ristretto spectrograph is dedicated to the detection and analysis of exoplanetary atmospheres, with a primary focus on the temperate rocky world Proxima b. This scient…

astro-ph.EP2024★ 5 cited

Gl 725A b: a potential super-Earth detected with SOPHIE and SPIRou in an M dwarf binary system at 3.5 pc

P. Cortes-Zuleta, I. Boisse, M. Ould-Elhkim +34

We report the discovery of a super-Earth candidate orbiting the nearby mid M dwarf Gl\,725A using the radial velocity (RV) method. The planetary signal has been independently ident…

physics.ao-ph2024

Forecast error growth: A dynamic-stochastic model

Eviatar Bach, Dan Crisan, Michael Ghil

There is a history of simple forecast error growth models designed to capture the key properties of error growth in operational numerical weather prediction (NWP) models. We propos…

astro-ph.EP2024★ 9 cited

An Extremely Elongated Cloud over Arsia Mons Volcano on Mars: II. Mesoscale modeling

Jorge From, :, Jorge Hernández-Bernal +5

In a previous work (Hernández-Bernal et al. 2021) we performed an observational analysis of the Arsia Mons Elongated Cloud (AMEC), which stands out due to its impressive size and s…

astro-ph.IM2024★ 4 cited

The Visual Monitoring Camera (VMC) on Mars Express: a new science instrument made from an old webcam orbiting Mars

Jorge From, :, Jorge Hernández-Bernal +19

The Visual Monitoring Camera (VMC) is a small imaging instrument onboard Mars Express with a field of view of ~40x30 degrees. The camera was initially intended to provide visual co…

cs.LG2024

Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves

Alessandro Lovo, Amaury Lancelin, Corentin Herbert +1

When performing predictions that use Machine Learning (ML), we are mainly interested in performance and interpretability. This generates a natural trade-off, where complex models g…