#xe7 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #xe7, aggregated by home.social.
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Title: Detangling the role of climate in vegetation productivity with an explainable convolutional neural network.
Forests of the Earth are a vital carbon sink while providing an essential
habitat for biodiversity. Vegetation productivity (VP) is a critical indicator
of carbon uptake in the atmosphere. The leaf area index is a crucia [...]Authors: Ricardo Barros Lourenço, Michael J. Smith, Sylvia Smullin, Umangi Jain, Alemu Gonsamo, Arthur Ouaknine
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Title: Rare event algorithm study of extremes of summer Arctic sea ice reduction.
Various studies have identified possible drivers of extremes of Arctic sea
ice reduction, such as observed in the summers of 2007 and 2012, including
preconditioning, local feedback mechanisms and the oceanic and atmospheric
circulations. However, a quantitative statist [...]Authors: Jerome Sauer, Francesco Ragone, François Massonnet, Giuseppe Zappa, Jonathan Demaeyer
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Title: Weather regimes and related atmospheric composition at a Pyrenean observatory characterized by hierarchical clustering of a 5-year data set.
Atmospheric composition measurements taken at many high-altitude stations
around the world, aim [...]Authors: Gueffier Jérémy, Gheusi François, Lothon Marie, Pont Véronique, Philibert Alban, Lohou Fabienne, Derrien Solène, Bezombes Yannick, Athier Gilles, Meyerfeld Yves, Vial Antoine
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Title: The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). Part I: Dry Cases -- The fellowship of the GCMs.
With the commissioning of powerful, new-generation telescopes such [...]
Authors: Martin Turbet, Thomas J. Fauchez, Denis E. Sergeev, Ian A. Boutle, Kostas Tsigaridis, Michael J. Way, Eric T. Wolf, Shawn D. Domagal-Goldman, François Forget, Jacob Haqq-Misra, Ravi K. Kopparapu, F. Hugo Lambert, James Manners, Nathan J. Mayne, Linda Sohl
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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
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Title: Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements.
This study aims at introducing two conservative thermodynamic variables
(moist-air entropy potential temperature and total water content) into a
one-dimensional variational data a [...]Authors: Pascal Marquet, Pauline Martinet, Jean-François Mahfouf, Alina Lavinia Barbu, Benjamin Ménétrier
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Title: A revised lower estimate of ozone columns during Earth's oxygenated history.
The history of molecular oxygen (O$_2$) in Earth's atmosphere is still
debated; however, geological evidence supports at least two major episodes
where O$_2$ increased by an order of magnitude or more: the Great Oxidation
Event (GOE) and the Neoproterozoic Oxidation Event [...]Authors: Gregory Cooke, Dan Marsh, Catherine Walsh, Benjamin Black, Jean-François Lamarque
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Title: Data assimilation using conservative thermodynamic variables.
This study aims at introducing two conservative thermodynamic variables
(moist-air entropy potential temperature and total water content) into a
one-dimensional variational data assimilation system (1D-Var) to demonstrate
the benefit for future operational assim [...]Authors: Pascal Marquet, Pauline Martinet, Jean-François Mahfouf, Alina Lavinia Barbu, Benjamin Ménétrier
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Title: The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). Part I: Dry Cases -- The fellowship of the GCMs.
With the commissioning of powerful, new-generation telescopes such [...]
Authors: Martin Turbet, Thomas J. Fauchez, Denis E. Sergeev, Ian A. Boutle, Kostas Tsigaridis, Michael J. Way, Eric T. Wolf, Shawn D. Domagal-Goldman, François Forget, Jacob Haqq-Misra, Ravi K. Kopparapu, F. Hugo Lambert, James Manners, Nathan J. Mayne, Linda Sohl
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Title: Super-resolution data assimilation.
Increasing the resolution of a model can improve the performance of a data
assimilation system: first because model field are in better agreement with
high resolution observations, then the corrections are better sustained and,
with ensemble data assimilation, the forecast error covariances are improved.
[...]Authors: Sébastien Barthélémy, Julien Brajard, Laurent Bertino, François Counillon