#xf1 — Public Fediverse posts

Creative XF1 : des enceintes de bureau Hi-Res bi-amplifiées de 72 W à 159,99 euros
https://mac4ever.com/196879
#Mac4Ever #Creative #xf1

Creative XF1 : des enceintes de bureau Hi-Res bi-amplifiées de 72 W à 159,99 euros
https://mac4ever.com/196879
#Mac4Ever #Creative #xf1

Creative XF1 : des enceintes de bureau Hi-Res bi-amplifiées de 72 W à 159,99 euros
https://mac4ever.com/196879
#Mac4Ever #Creative #xf1

Xref ( #XF1 ) has released " Placement Raising $3.6m & Share Purchase Plan " on Fri 21 Mar at 12:15 AEST #government #trading #Mining #Australia #media
https://grafa.com/asset/xref-ltd-10894-xf1.asx?utm_source=asxmktsensitive&utm_medium=mastodon&utm_campaign=xf1.asx

Xref ( #XF1 ) has released " Placement Raising $3.6m & Share Purchase Plan " on Fri 21 Mar at 12:15 AEST #government #trading #Mining #Australia #media
https://grafa.com/asset/xref-ltd-10894-xf1.asx?utm_source=asxmktsensitive&utm_medium=mastodon&utm_campaign=xf1.asx

Xref ( #XF1 ) has released " Placement Raising $3.6m & Share Purchase Plan " on Fri 21 Mar at 12:15 AEST #government #trading #Mining #Australia #media
https://grafa.com/asset/xref-ltd-10894-xf1.asx?utm_source=asxmktsensitive&utm_medium=mastodon&utm_campaign=xf1.asx

Xref ( #XF1 ) has released " Trading Halt " on Thu 20 Mar at 09:13 AEST #trading #Australia #media #ASX #TradingHalt
https://grafa.com/asset/xref-ltd-10894-xf1.asx?utm_source=asxmktsensitive&utm_medium=mastodon&utm_campaign=xf1.asx

Xref ( #XF1 ) has released " Trading Halt " on Thu 20 Mar at 09:13 AEST #trading #Australia #media #ASX #TradingHalt
https://grafa.com/asset/xref-ltd-10894-xf1.asx?utm_source=asxmktsensitive&utm_medium=mastodon&utm_campaign=xf1.asx

Xref ( #XF1 ) has released " Trading Halt " on Thu 20 Mar at 09:13 AEST #trading #Australia #media #ASX #TradingHalt
https://grafa.com/asset/xref-ltd-10894-xf1.asx?utm_source=asxmktsensitive&utm_medium=mastodon&utm_campaign=xf1.asx

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: 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