Title: Comparison of indicators to evaluate the performance of climate models.

The evaluation of climate models is a crucial step in climate studies. It
consists of quantifying the resemblance of model outputs to reference data to
identify models with superior capacity to replicate specific climate variables.
Clearly, the choice of the evaluation indicator significantly [...]

Authors: Mario J. Gómez, Luis A. Barboza, Hugo G. Hidalgo, Eric J. Alfaro

Link: http://arxiv.org/abs/2307.04658

Title: Excitation of mixed Rossby-gravity waves by wave-mean flow interactions on the sphere.

The equatorial mixed Rossby-gravity wave (MRGW) is an important contributor
to tropical variability. Its excitation mechanism capable of explaining the
observed MRGW variance peak at synoptic scales remains elusive. This study
investigates wave-mean flow interactions as a [...]

Authors: Sándor István Mahó, Sergiy Vasylkevych, Nedjeljka Žagar

Link: http://arxiv.org/abs/2306.16836

Title: Percolation anticipates abrupt changes in coupled FitzHugh-Nagumo oscillators and the El Ni\~no-Southern Oscillation: an explanatory analysis.

Functional networks are powerful tools to study statistical interdependency
structures in spatially extended or multi-variable systems. They have been used
to get insights into the dynamics of co [...]

Authors: Noémie Ehstand, Reik V. Donner, Cristóbal López, Emilio Hernández-García

Link: http://arxiv.org/abs/2305.05450

Title: Increased extinction probability of the Madden-Julian Oscillation after about 27 days.

The Madden-Julian oscillation (MJO) is a tropical weather system having
important influence in the tropics and beyond; however, many of its
characteristics are poorly understood, including their initiation and
completion. Here we define Madden-Julian events as the contiguous time periods
w [...]

Authors: Álvaro Corral, Mónica Minjares, Marcelo Barreiro

Link: http://arxiv.org/abs/2304.12863

Title: Assessing Long-Distance Atmospheric Transport of Soilborne Plant Pathogens.

Pathogenic fungi are a leading cause of crop disease and primarily spread
through microscopic, durable spores adapted differentially for both persistence
and dispersal. Computational Earth System Models [...]

Authors: Hannah Brodsky, Rocío Calderón, Douglas S. Hamilton, Longlei Li, Andrew Miles, Ryan Pavlick, Kaitlin M. Gold, Sharifa G. Crandall, Natalie Mahowald

Link: http://arxiv.org/abs/2304.09346

Title: Streamer propagation in humid air.

We investigate the effect of humidity on the propagation of streamers in air.
We present a minimal set of chemical reactions that takes into account the
presence of water in a nonthermal air plasma and considers ionization,
attachment, detachment, recombination and ion conversion including water
cluster formation. We find differences in streamer propagation between [...]

Authors: A. Malagón-Romero, A. Luque

Link: http://arxiv.org/abs/2304.05160

Title: Post-processing output from ensembles with and without parametrised convection, to create accurate, blended, high-fidelity rainfall forecasts.

Flash flooding is a significant societal problem, but related precipitation
forecasts are often poor. To address this, one can try to use output from
convection-parametrising (global) ensembles, post-processed to forecast at
point-scal [...]

Authors: Estíbaliz Gascón, Andrea Montani, Tim D. Hewson

Link: http://arxiv.org/abs/2301.04485

Title: Machine-learned cloud classes from satellite data for process-oriented climate model evaluation.

Clouds play a key role in regulating climate change but are difficult to
simulate within Earth system models (ESMs). Improving the representation of
clouds is one of the key tasks towards more robust climate change projections.
This study introduces a new machi [...]

Authors: A. Kaps, A. Lauer, G. Camps-Valls, P. Gentine, L. Gómez-Chova, V. Eyring

Link: http://arxiv.org/abs/2205.00743

Title: The role of internal variability in global climate projections of extreme events.

Climate projection uncertainty can be partitioned into model uncertainty,
scenario uncertainty and internal variability. Here, we investigate the
different sources of uncertainty in the projected frequencies of daily maximum
temperature and precipitation extremes, which are defined as event [...]

Authors: Mackenzie L. Blanusa, Carla J. López-Zurita, Stephan Rasp

Link: http://arxiv.org/abs/2208.08275

Title: An Artificial Neural Network Algorithm to Retrieve Chlorophyll a for Northwest European Shelf Seas from Top of Atmosphere Ocean Colour Reflectance.

Chlorophyll-a (Chl) retrieval from ocean colour remote sensing is problematic
for relatively turbid coastal waters due to the impact of non-algal materials
on atmospheric correction and standard Chl al [...]

Authors: Madjid Hadjal, Encarni Medina-López, Jinchang Ren, Alejandro Gallego, David McKee

Link: http://arxiv.org/abs/2205.08188

Title: Machine-learned cloud classes from satellite data for process-oriented climate model evaluation.

Clouds play a key role in regulating climate change but are difficult to
simulate within Earth system models (ESMs). Improving the representation of
clouds is one of the key tasks towards more robust climate change projections.
This study introduces a new machi [...]

Authors: A. Kaps, A. Lauer, G. Camps-Valls, P. Gentine, L. Gómez-Chova, V. Eyring

Link: http://arxiv.org/abs/2205.00743

Title: A lightning monitoring system for studying transient phenomena in cosmic ray observatories.

During thunderstorms, the atmospheric electric field can increase above
hundreds of kV/m, causing an acceleration in the charged particles of secondary
cosmic rays. Such an acceleration causes avalanche processes in the atmosphere,
enhancing/reducing [...]

Authors: J. Peña-Rodríguez, P. Salgado-Meza, L. Flórez-Villegas, L. A. Núñez

Link: http://arxiv.org/abs/2205.00311

Title: Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices.

With growing amounts of wind and solar power in the electricity mix of many
European countries, understanding and predicting variations of renewable energy
generation at multiple timescales is crucial to ensure reliable electricity
systems. At seasonal sc [...]

Authors: Llorenç Lledó, Jaume Ramon, Albert Soret, Francisco-Javier Doblas-Reyes

Link: http://arxiv.org/abs/2202.02258

Title: AIRCC-Clim: a user-friendly tool for generating regional probabilistic climate change scenarios and risk measures.

Complex physical models are the most advanced tools available for producing
realistic simulations of the climate system. However, such levels of realism
imply high computational cost and restrictions on their use f [...]

Authors: Francisco Estrada, Oscar Calderón-Bustamante, Wouter Botzen, Julián A. Velasco, Richard S.J. Tol

Link: http://arxiv.org/abs/2111.01762

Title: PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry.

PySDM is an open-source Python package for simulating the dynamics of
particles undergoing condensational and collisional growth, interacting with a
fluid flow an [...]

Authors: Piotr Bartman, Oleksii Bulenok, Kamil Górski, Anna Jaruga, Grzegorz Łazarski, Michael Olesik, Bartosz Piasecki, Clare E. Singer, Aleksandra Talar, Sylwester Arabas

Link: http://arxiv.org/abs/2103.17238

Title: Characteristic signatures of Northern Hemisphere blocking events in a Lagrangian flow network representation of the atmospheric circulation.

In the past decades, boreal summers have been characterized by an increasing
number of extreme weather events in the Northern Hemisphere extratropics,
including persistent heat waves, droughts and [...]

Authors: Noémie Ehstand, Reik V. Donner, Cristóbal López, Emilio Hernández-García

Link: http://arxiv.org/abs/2105.12513