Title: Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions.

Recently, deep learning has emerged as a promising tool for statistical
downscaling, the set of methods for generating high-resolution climate fields
from coarse low-resolution variables. Nevertheless, their ability to generalize
to climate change conditions remains q [...]

Authors: Jose González-Abad, Jorge Baño-Medina

Link: http://arxiv.org/abs/2305.00975

Title: On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling.

Deep Learning has recently emerged as a perfect prognosis downscaling
technique to compute high-resolution fields from large-scale coarse atmospheric
data. Despite their promising results to reproduce the observed local
variability, they are based on the estimation of independent [...]

Authors: Jose González-Abad, Jorge Baño-Medina, Ignacio Heredia Cachá

Link: http://arxiv.org/abs/2305.00974

Title: Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations.

Flood simulation and forecast capability have been greatly improved thanks to
advances in data assimilation (DA) strategies incorporating various types of
observations; many are derived from spatial Earth Observatio [...]

Authors: Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini, Ehouarn Simon, Raquel Rodriguez Suquet, Santiago Peña Luque

Link: http://arxiv.org/abs/2304.01058

Title: Exact expressions for available potential energy and available potential vorticity.

Exact analytical expressions for available potential energy density (APE) and
available potential vorticity (APV) are derived from first principles. These
APE and APV expressions align with previously known quantities found using
perturbation expansions in Hollid [...]

Authors: Jeffrey J. Early, Gerardo Hernández-Dueñas, Leslie M. Smith, M.-Pascale Lelong

Link: http://arxiv.org/abs/2212.07405

Title: Exact expressions for available potential energy and available potential vorticity.

Exact analytical expressions for available potential energy density (APE) and
available potential vorticity (APV) are derived from first principles. These
APE and APV expressions align with previously known quantities found using
perturbation expansions in Hollid [...]

Authors: Jeffrey J. Early, Gerardo Hernández-Dueñas, Leslie M. Smith, M.-Pascale Lelong

Link: http://arxiv.org/abs/2212.07405

Title: A sewage management proposal for Luruaco lake, Colombia.

This study presents numerical simulations of faecal coliforms dynamics in
Luruaco lake, located in Atl\'antico Department, Colombia. The velocity field
is obtained through a two-dimensional horizontal (2DH) model of Navier-Stokes
equations system. The transport equation of f [...]

Authors: T. M. Saita, P. L. Natti, E.R. Cirilo, N.M.L. Romeiro, M.A.C. Candezano, R.B. Acuña, L.C.G. Moreno

Link: http://arxiv.org/abs/2206.02836

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: Revisting the limits of atmospheric temperature retrieval from cosmic-ray measurements.

A priori, cosmic-ray measurements offer a unique capability to determine the
vertical profile of atmospheric temperatures directly from ground. However,
despite the increased understanding of the impact of the atmosphere on
cosmic-ray rates, attempts to explore th [...]

Authors: Riádigos Irma, González-Díaz Diego, Pérez-Muñuzuri Vicente

Link: http://arxiv.org/abs/2112.04526

Title: Revisting the limits of atmospheric temperature retrieval from cosmic-ray measurements.

A priori, cosmic-ray measurements offer a unique capability to determine the
vertical profile of atmospheric temperatures directly from ground. However,
despite the increased understanding of the impact of the atmosphere on
cosmic-ray rates, attempts to explore th [...]

Authors: Riádigos Irma, González-Díaz Diego, Pérez-Muñuzuri Vicente

Link: http://arxiv.org/abs/2112.04526

Title: Revisting the limits of atmospheric temperature retrieval from cosmic-ray measurements.

A priori, cosmic-ray measurements offer a unique capability to determine the
vertical profile of atmospheric temperatures directly from ground. However,
despite the increased understanding of the impact of the atmosphere on
cosmic-ray rates, attempts to explore th [...]

Authors: Riádigos Irma, González-Díaz Diego, Pérez-Muñuzuri Vicente

Link: http://arxiv.org/abs/2112.04526

Title: Fast-Slow Streamflow Model Using Mass-Conserving LSTM.

Streamflow forecasting is key to effectively managing water resources and
preparing for the occurrence of natural calamities being exacerbated by climate
change. Here we use the concept of fast and slow flow components to create a
new mass-conserving Long Short-Term Memory (LSTM) neural network model. It uses
hy [...]

Authors: Miguel Paredes Quiñones, Maciel Zortea, Leonardo S. A. Martins

Link: http://arxiv.org/abs/2107.06057