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categories/webinars/index.xml

@@ -2,7 +2,7 @@
 The nextSIM-DG sea ice model is at the core of the modelling in SASIP. It is derived from the existing Lagrangian nextSIM model (Rampal et al., 2016) and has been designed to be more flexible for both end users and coupling to other models. This webinar will cover what was necessary to go from the previous to the future version of model.</description></item><item><title>SASIP May Webinar - Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core</title><link>https://sasip-climate.github.io/news/2024-05-24_may_webinar/</link><pubDate>Fri, 24 May 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/2024-05-24_may_webinar/</guid><description>Robert Jendersie, PhD student from the University of Magdeburg, presented his work as part of the SASIP May webinar.
 Check the recording of the meeting:</description></item><item><title>SASIP April Webinar - Surrogate modelling of sea-ice models with generative deep learning</title><link>https://sasip-climate.github.io/news/2024-04-26_april_webinar/</link><pubDate>Fri, 26 Apr 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/2024-04-26_april_webinar/</guid><description>Tobias Finn, Postdoc at École des Ponts ParisTech and working on WP4 presents his latest research on surrogate modelling of sea-ice models with generative deep learning.
 Check the recording of the meeting:</description></item><item><title>SASIP March Webinar - Particle-Based Algorithms for Stochastic Optimal Control</title><link>https://sasip-climate.github.io/news/march_webinar/</link><pubDate>Tue, 19 Mar 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/march_webinar/</guid><description>Sebastian Reich, Professor of Numerical analysis and expert in Data Assimilation from the University of Potsdam presented his research on Particle-Based Algorithms for Stochastic Optimal Control.
-Check the recording of the meeting:</description></item><item><title>SASIP February Webinar - Francesca Vittorioso</title><link>https://sasip-climate.github.io/news/webinar_february_2024/</link><pubDate>Wed, 21 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/webinar_february_2024/</guid><description>On February 21st, Francesca Vittorioso presented her latest research on the Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe.
+Check the recording of the meeting:</description></item><item><title>SASIP February Webinar - The Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe</title><link>https://sasip-climate.github.io/news/webinar_february_2024/</link><pubDate>Wed, 21 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/webinar_february_2024/</guid><description>On February 21st, Francesca Vittorioso presented her latest research on the Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe.
 See her interview here
 Check the recording of the meeting :</description></item><item><title>SASIP Webinar #9 - Sukun Cheng - March 22nd 11am</title><link>https://sasip-climate.github.io/news/webinar9/</link><pubDate>Tue, 28 Feb 2023 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/webinar9/</guid><description>Our SASIP Webinar #9 with Sukun Cheng on the &amp;lsquo;Arctic sea ice data assimilation combining ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019-2020&amp;rsquo; took place on March the 22nd at 11am
 Abstract :

index.xml

@@ -84,7 +84,7 @@ Check the recording of the meeting:</description></item><item><title>Parameter s
 Simon Driscoll et al. show through a global sensitivity analysis and analysis of perturbed parameter ensembles that a state-of-the-art sea ice model, Icepack, demonstrates a substantial sensitivity to its level-ice melt pond parametrisation. To reduce this uncertainty, they investigated the possibility of data driven approaches to learn and replace parametrisations.</description></item><item><title>March Newsletter</title><link>https://sasip-climate.github.io/news/march_newsletter/</link><pubDate>Fri, 15 Mar 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/march_newsletter/</guid><description>SASIP March Newsletter Campaign URL Copy Twitter 0 tweets Subscribe Past Issues RSS Translate English العربية Afrikaans беларуская мова български català 中文（简体） 中文（繁體） Hrvatski Česky Dansk eesti&amp;nbsp;keel Nederlands Suomi Fran&amp;ccedil;ais Deutsch &amp;Epsilon;&amp;lambda;&amp;lambda;&amp;eta;&amp;nu;&amp;iota;&amp;kappa;ή हिन्दी Magyar Gaeilge Indonesia íslenska Italiano 日本語 ភាសាខ្មែរ 한국어 македонски&amp;nbsp;јазик بهاس ملايو Malti Norsk Polski Portugu&amp;ecirc;s Portugu&amp;ecirc;s&amp;nbsp;-&amp;nbsp;Portugal Rom&amp;acirc;nă Русский Espa&amp;ntilde;ol Kiswahili Svenska עברית Lietuvių latviešu slovenčina slovenščina српски தமிழ் ภาษาไทย Türkçe Filipino украї́нська Tiếng&amp;nbsp;Việt Latest news from SASIP View this email in your browser</description></item><item><title>Interview with Romain Caneill, Postdoc, CNRS</title><link>https://sasip-climate.github.io/news/interview_romain_caneill/</link><pubDate>Thu, 07 Mar 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/interview_romain_caneill/</guid><description>Romain Caneill, postdoc at the French National Center for Scientific Research (CNRS), recently joined SASIP to work on sea-ice rheology (WP2) and climate implications WP5. He accepted to share his scientific history, vision of science, motivations and hopes.
 &amp;ldquo;I hope that at the end of the SASIP project, the ocean-atmosphere community will acknowledge the important role of sea ice and the fact that its dynamics need to be well represented in climate models.</description></item><item><title>FloeDyn Code is open!</title><link>https://sasip-climate.github.io/news/floedyn-code/</link><pubDate>Sat, 02 Mar 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/floedyn-code/</guid><description>This model owes its originality to the fact that it allows simulating ice floes of shapes derived from observations and collisions between these floes in a way that avoids unrealistic interpenetrations and the associated energy dissipation, which makes it a valuable tool for thermodynamic and eventually dynamic parameterization developments within the WP2 and WP3 of SASIP.
 The code and documentation can be found here Trimestrial users and developersmeetings will be held from now on: do not hesitate to send an email to stephane.</description></item><item><title>Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core</title><link>https://sasip-climate.github.io/news/jendersie_preprint_2024/</link><pubDate>Wed, 28 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/jendersie_preprint_2024/</guid><description>Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core by Jendersie et al.
-In recent years, a number of frameworks have become available that promise to simplify general purpose GPU programming. In this new preprint, Robert Jendersie and colleagues compare multiple such frameworks, including CUDA, SYCL, Kokkos and PyTorch, for the parallelization of \nextsim, a finite-element based dynamical core for sea ice. They evaluate the different approaches according to their usability and performance.</description></item><item><title>SASIP February Webinar - Francesca Vittorioso</title><link>https://sasip-climate.github.io/news/webinar_february_2024/</link><pubDate>Wed, 21 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/webinar_february_2024/</guid><description>On February 21st, Francesca Vittorioso presented her latest research on the Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe.
+In recent years, a number of frameworks have become available that promise to simplify general purpose GPU programming. In this new preprint, Robert Jendersie and colleagues compare multiple such frameworks, including CUDA, SYCL, Kokkos and PyTorch, for the parallelization of \nextsim, a finite-element based dynamical core for sea ice. They evaluate the different approaches according to their usability and performance.</description></item><item><title>SASIP February Webinar - The Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe</title><link>https://sasip-climate.github.io/news/webinar_february_2024/</link><pubDate>Wed, 21 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/webinar_february_2024/</guid><description>On February 21st, Francesca Vittorioso presented her latest research on the Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe.
 See her interview here
 Check the recording of the meeting :</description></item><item><title>Investigating ecosystem connections in the shelf sea environment using complex networks</title><link>https://sasip-climate.github.io/news/2024-02-08_higgs_carassi_2024/</link><pubDate>Thu, 08 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/2024-02-08_higgs_carassi_2024/</guid><description>Investigating ecosystem connections in the shelf sea environment using complex networks by Ieuan Higgs, Jozef Skákala, Ross Bannister, Alberto Carrassi, and Stefano Ciavatta, published in Biogeosciences.
 Use of complex network to disentagle the bio-geochemistry relation in the ocean.

news/index.xml

@@ -15,7 +15,7 @@ Check the recording of the meeting:</description></item><item><title>Parameter s
 Simon Driscoll et al. show through a global sensitivity analysis and analysis of perturbed parameter ensembles that a state-of-the-art sea ice model, Icepack, demonstrates a substantial sensitivity to its level-ice melt pond parametrisation. To reduce this uncertainty, they investigated the possibility of data driven approaches to learn and replace parametrisations.</description></item><item><title>March Newsletter</title><link>https://sasip-climate.github.io/news/march_newsletter/</link><pubDate>Fri, 15 Mar 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/march_newsletter/</guid><description>SASIP March Newsletter Campaign URL Copy Twitter 0 tweets Subscribe Past Issues RSS Translate English العربية Afrikaans беларуская мова български català 中文（简体） 中文（繁體） Hrvatski Česky Dansk eesti&amp;nbsp;keel Nederlands Suomi Fran&amp;ccedil;ais Deutsch &amp;Epsilon;&amp;lambda;&amp;lambda;&amp;eta;&amp;nu;&amp;iota;&amp;kappa;ή हिन्दी Magyar Gaeilge Indonesia íslenska Italiano 日本語 ភាសាខ្មែរ 한국어 македонски&amp;nbsp;јазик بهاس ملايو Malti Norsk Polski Portugu&amp;ecirc;s Portugu&amp;ecirc;s&amp;nbsp;-&amp;nbsp;Portugal Rom&amp;acirc;nă Русский Espa&amp;ntilde;ol Kiswahili Svenska עברית Lietuvių latviešu slovenčina slovenščina српски தமிழ் ภาษาไทย Türkçe Filipino украї́нська Tiếng&amp;nbsp;Việt Latest news from SASIP View this email in your browser</description></item><item><title>Interview with Romain Caneill, Postdoc, CNRS</title><link>https://sasip-climate.github.io/news/interview_romain_caneill/</link><pubDate>Thu, 07 Mar 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/interview_romain_caneill/</guid><description>Romain Caneill, postdoc at the French National Center for Scientific Research (CNRS), recently joined SASIP to work on sea-ice rheology (WP2) and climate implications WP5. He accepted to share his scientific history, vision of science, motivations and hopes.
 &amp;ldquo;I hope that at the end of the SASIP project, the ocean-atmosphere community will acknowledge the important role of sea ice and the fact that its dynamics need to be well represented in climate models.</description></item><item><title>FloeDyn Code is open!</title><link>https://sasip-climate.github.io/news/floedyn-code/</link><pubDate>Sat, 02 Mar 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/floedyn-code/</guid><description>This model owes its originality to the fact that it allows simulating ice floes of shapes derived from observations and collisions between these floes in a way that avoids unrealistic interpenetrations and the associated energy dissipation, which makes it a valuable tool for thermodynamic and eventually dynamic parameterization developments within the WP2 and WP3 of SASIP.
 The code and documentation can be found here Trimestrial users and developersmeetings will be held from now on: do not hesitate to send an email to stephane.</description></item><item><title>Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core</title><link>https://sasip-climate.github.io/news/jendersie_preprint_2024/</link><pubDate>Wed, 28 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/jendersie_preprint_2024/</guid><description>Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core by Jendersie et al.
-In recent years, a number of frameworks have become available that promise to simplify general purpose GPU programming. In this new preprint, Robert Jendersie and colleagues compare multiple such frameworks, including CUDA, SYCL, Kokkos and PyTorch, for the parallelization of \nextsim, a finite-element based dynamical core for sea ice. They evaluate the different approaches according to their usability and performance.</description></item><item><title>SASIP February Webinar - Francesca Vittorioso</title><link>https://sasip-climate.github.io/news/webinar_february_2024/</link><pubDate>Wed, 21 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/webinar_february_2024/</guid><description>On February 21st, Francesca Vittorioso presented her latest research on the Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe.
+In recent years, a number of frameworks have become available that promise to simplify general purpose GPU programming. In this new preprint, Robert Jendersie and colleagues compare multiple such frameworks, including CUDA, SYCL, Kokkos and PyTorch, for the parallelization of \nextsim, a finite-element based dynamical core for sea ice. They evaluate the different approaches according to their usability and performance.</description></item><item><title>SASIP February Webinar - The Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe</title><link>https://sasip-climate.github.io/news/webinar_february_2024/</link><pubDate>Wed, 21 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/webinar_february_2024/</guid><description>On February 21st, Francesca Vittorioso presented her latest research on the Contribution of the assimilation of MTG/IRS radiances for the characterisation of the atmospheric chemical composition over Europe.
 See her interview here
 Check the recording of the meeting :</description></item><item><title>Investigating ecosystem connections in the shelf sea environment using complex networks</title><link>https://sasip-climate.github.io/news/2024-02-08_higgs_carassi_2024/</link><pubDate>Thu, 08 Feb 2024 00:00:00 +0000</pubDate><guid>https://sasip-climate.github.io/news/2024-02-08_higgs_carassi_2024/</guid><description>Investigating ecosystem connections in the shelf sea environment using complex networks by Ieuan Higgs, Jozef Skákala, Ross Bannister, Alberto Carrassi, and Stefano Ciavatta, published in Biogeosciences.
 Use of complex network to disentagle the bio-geochemistry relation in the ocean.