{"id":1630,"date":"2025-09-23T13:41:06","date_gmt":"2025-09-23T11:41:06","guid":{"rendered":"https:\/\/www2igg.cnr.it\/?page_id=1630"},"modified":"2025-11-28T16:16:52","modified_gmt":"2025-11-28T15:16:52","slug":"modellistica-processi-planetari","status":"publish","type":"page","link":"https:\/\/www.igg.cnr.it\/en\/modellistica-processi-planetari\/","title":{"rendered":"Laboratory of Numerical Modeling of Planetary Processes"},"content":{"rendered":"<h6 class=\"wp-block-heading\">The laboratory is hosted in the Pisa headquarter of the IGG, within the CNR Research Area of \u200b\u200bPisa.<\/h6>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-essential-blocks-accordion  root-eb-accordion-63d5q\"><div class=\"eb-parent-wrapper eb-parent-eb-accordion-63d5q\"><div class=\"eb-accordion-container eb-accordion-63d5q\" data-accordion-type=\"accordion\" data-tab-icon=\"dashicons-plus-alt2\" data-expanded-icon=\"dashicons-minus\" data-transition-duration=\"500\"><div class=\"eb-accordion-inner\">\n<div class=\"wp-block-essential-blocks-accordion-item eb-accordion-item-jbbes eb-accordion-wrapper\" data-clickable=\"false\"><div class=\"eb-accordion-title-wrapper eb-accordion-title-wrapper-eb-accordion-63d5q\" tabindex=\"0\"><span class=\"eb-accordion-icon-wrapper eb-accordion-icon-wrapper-eb-accordion-63d5q\"><span class=\"dashicon dashicons dashicons-plus-alt2 eb-accordion-icon\"><\/span><\/span><div class=\"eb-accordion-title-content-wrap title-content-eb-accordion-63d5q\"><h3 class=\"eb-accordion-title\">The Laboratory<\/h3><\/div><\/div><div class=\"eb-accordion-content-wrapper eb-accordion-content-wrapper-eb-accordion-63d5q\"><div class=\"eb-accordion-content\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>At present, the activities of this numerical laboratory are dedicated to the following research topics:<\/p>\n\n\n\n<p><br><strong>Planetary fluid dynamics:<\/strong><\/p>\n\n\n\n<p>Rotating turbulent convection in water and high-Prandtl number fluids as a conceptual basis for simulations in planetary atmospheres and oceans, in ice-covered oceans (Ganymede, Europa), and in the mantles of rocky planets.<br>Vortex dynamics in planetary atmospheres and oceans, with particular emphasis on atmospheric dynamics in gaseous planets (Jupiter).<br>Estimates of the habitability of rocky planets using simplified climate models (EBM, ESTM, EMIC).<\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"700\" height=\"525\" src=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Vortex2.png\" alt=\"\" class=\"wp-image-1633\" style=\"width:600px\" srcset=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Vortex2.png 700w, https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Vortex2-300x225.png 300w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption class=\"wp-element-caption\">Simplified numerical simulation of the formation of anticyclonic vortices in a protoplanetary disk. The fluid's vorticity is plotted.<\/figcaption><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"635\" height=\"513\" src=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Habitability.png\" alt=\"\" class=\"wp-image-1634\" style=\"width:600px\" srcset=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Habitability.png 635w, https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Habitability-300x242.png 300w\" sizes=\"auto, (max-width: 635px) 100vw, 635px\" \/><figcaption class=\"wp-element-caption\">Numerical simulation of the habitability index (0; uninhabitable; 1: liquid water on the entire planet) as a function of the incident stellar radiation (normalized to that of the Earth)<\/figcaption><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"322\" height=\"414\" src=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/waves.png\" alt=\"\" class=\"wp-image-1635\" srcset=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/waves.png 322w, https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/waves-233x300.png 233w\" sizes=\"auto, (max-width: 322px) 100vw, 322px\" \/><figcaption class=\"wp-element-caption\">High-resolution numerical simulation (with the Delft3D model) of the intensity of energy transport towards the coast in winter<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Geosphere-biosphere-climate interactions in the Earth System :<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dynamics of soil-vegetation-atmosphere interactions in the \u201cCritical Zone\u201d in extreme regions, with particular attention to mountain regions and the Arctic tundra.<\/li>\n\n\n\n<li>Modeling the dynamics of mountain lake ecosystems and lake ecosystem-environment-climate interactions.<\/li>\n\n\n\n<li>Empirical modeling of the relationships between climate, vegetation, and fires by developing and using data-based models for estimating and forecasting burned area<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"700\" height=\"110\" src=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Fires2.png\" alt=\"\" class=\"wp-image-1636\" style=\"width:755px;height:auto\" srcset=\"https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Fires2.png 700w, https:\/\/www.igg.cnr.it\/wp-content\/uploads\/2025\/09\/Fires2-300x47.png 300w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption class=\"wp-element-caption\">imulation, with a data-based model driven by climate projections, of the potential increase (in percentage) of the area burned by wildfires, for a global temperature increase of 2 \u00b0C compared to pre-industrial values<\/figcaption><\/figure>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-essential-blocks-accordion-item eb-accordion-item-xfxnw eb-accordion-wrapper\" data-clickable=\"false\"><div class=\"eb-accordion-title-wrapper eb-accordion-title-wrapper-eb-accordion-63d5q\" tabindex=\"0\"><span class=\"eb-accordion-icon-wrapper eb-accordion-icon-wrapper-eb-accordion-63d5q\"><span class=\"dashicon dashicons dashicons-plus-alt2 eb-accordion-icon\"><\/span><\/span><div class=\"eb-accordion-title-content-wrap title-content-eb-accordion-63d5q\"><h3 class=\"eb-accordion-title\">Instruments<\/h3><\/div><\/div><div class=\"eb-accordion-content-wrapper eb-accordion-content-wrapper-eb-accordion-63d5q\"><div class=\"eb-accordion-content\">\n<p>The laboratory bases its activity on the development, implementation, and use of deterministic numerical models, both conceptual and complex, and on the use of community models. Currently, it uses ESTM (Evolution of an EBM) models, box models for soil-vegetation-atmosphere interaction, simplified lake ecosystem models, rotating convection-turbulence simulation models, quasi-geostrophic turbulence models, the JULES model, the EMIC PLASIM model, and the Delft3D coastal model. Data-based, empirical models are also developed and used to estimate and predict the response of specific systems (fires, glaciers, ecosystems) to climate variability.<br>For simplified numerical simulations, the numerous workstations and multi-processor servers available at the CNR are used, while the more complex simulations are currently performed at CINECA.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-essential-blocks-accordion-item eb-accordion-item-7e36t eb-accordion-wrapper\" data-clickable=\"false\"><div class=\"eb-accordion-title-wrapper eb-accordion-title-wrapper-eb-accordion-63d5q\" tabindex=\"0\"><span class=\"eb-accordion-icon-wrapper eb-accordion-icon-wrapper-eb-accordion-63d5q\"><span class=\"dashicon dashicons dashicons-plus-alt2 eb-accordion-icon\"><\/span><\/span><div class=\"eb-accordion-title-content-wrap title-content-eb-accordion-63d5q\"><h3 class=\"eb-accordion-title\">Staff and Contacts<\/h3><\/div><\/div><div class=\"eb-accordion-content-wrapper eb-accordion-content-wrapper-eb-accordion-63d5q\"><div class=\"eb-accordion-content\">\n<p><strong>Staff:<\/strong><\/p>\n\n\n\n<p>Dr. Antonello Provenzale (Laboratory Manager)<br>Dr. Maria Silvia Giamberini<br>Dr. Marta Magnani<\/p>\n\n\n\n<p><br><strong>External Collaborators:<\/strong><br>Alberto Adriani, INAF, Roma<br>Carlo Baroni, Universit\u00e0 di Pisa<br>Carl Beierkuhnlein, University of Bayreuth, Germany<br>Palma Blonda, CNR IIA, Bari<br>Annalisa Bracco, Georgiatech, USA<br>Fasma Diele, CNR IAC, Bari<br>Tomaso Esposti Ongaro, INGV, Pisa<br>Klaus Fraedrich, Max-Planck-Institute, Hamburg, Germany<br>Jost von Hardenberg, CNR ISAC, Torino<br>Luciano Iess, Universit\u00e0 La Sapienza, Roma<br>Arnon Karnieli, Ben Gurion University, Israel<br>Carmela Marangi, CNR IAC, Bari<br>Giuseppe Mitri, Universit\u00e0 \u201cG. D\u2019Annunzio\u201d, Chieti<br>Giuseppe Murante, INAF, Osservatorio Astronomico di Trieste<br>Elisa Palazzi, CNR ISAC, Torino<br>Maria Cristina Salvatore, Universit\u00e0 di Pisa<br>Laura Silva, INAF, Osservatorio Astronomico di Trieste<br>Edward A Spiegel, Columbia University, New York, USA<br>Marco Turco, University of Barcelona, Spain<br>Giovanni Vladilo, INAF, Osservatorio Astronomico di Trieste<br>Hezi Yizhaq, BGU, Sede Boker Campus, Israel<br>Jeffrey B. Weiss, University of Colorado, Boulder, USA<br><br><strong>Phones<\/strong> : +39 050 6212372 (Dr. Antonello Provenzale)<br><br><strong>E-mail:<\/strong> antonello.provenzale@cnr.it<br><br><\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-essential-blocks-accordion-item eb-accordion-item-8iqn4 eb-accordion-wrapper\" data-clickable=\"false\"><div class=\"eb-accordion-title-wrapper eb-accordion-title-wrapper-eb-accordion-63d5q\" tabindex=\"0\"><span class=\"eb-accordion-icon-wrapper eb-accordion-icon-wrapper-eb-accordion-63d5q\"><span class=\"dashicon dashicons dashicons-plus-alt2 eb-accordion-icon\"><\/span><\/span><div class=\"eb-accordion-title-content-wrap title-content-eb-accordion-63d5q\"><h3 class=\"eb-accordion-title\">Methods and Applications<\/h3><\/div><\/div><div class=\"eb-accordion-content-wrapper eb-accordion-content-wrapper-eb-accordion-63d5q\"><div class=\"eb-accordion-content\">\n<p>The laboratory bases its activity on the development, implementation, and use of deterministic numerical models, both conceptual and complex.<br><br>Currently, the following are used: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ESTM models (evolution of an EBM)<\/li>\n\n\n\n<li>box models for soil-vegetation-atmosphere interaction<\/li>\n\n\n\n<li>simplified models of lake ecosystems<\/li>\n\n\n\n<li>the JULES model<\/li>\n\n\n\n<li>the EMIC PLASIM model.<\/li>\n<\/ul>\n\n\n\n<p>Data-based, empirical models are also developed and used to estimate and predict the response of specific systems (fires, glaciers, ecosystems) to climate variability.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-essential-blocks-accordion-item eb-accordion-item-pdmij eb-accordion-wrapper\" data-clickable=\"false\"><div class=\"eb-accordion-title-wrapper eb-accordion-title-wrapper-eb-accordion-63d5q\" tabindex=\"0\"><span class=\"eb-accordion-icon-wrapper eb-accordion-icon-wrapper-eb-accordion-63d5q\"><span class=\"dashicon dashicons dashicons-plus-alt2 eb-accordion-icon\"><\/span><\/span><div class=\"eb-accordion-title-content-wrap title-content-eb-accordion-63d5q\"><h3 class=\"eb-accordion-title\">Scientific Projects and Interests<\/h3><\/div><\/div><div class=\"eb-accordion-content-wrapper eb-accordion-content-wrapper-eb-accordion-63d5q\"><div class=\"eb-accordion-content\">\n<ul class=\"wp-block-list\">\n<li>EU H2020 ECOPOTENTIAL (2015-2019), grant number 641762<\/li>\n\n\n\n<li>EU ERA4CS (special project Serv_for_Fire)<\/li>\n\n\n\n<li>ASI JUICE phase C\/D \u2013 Scientific activities<\/li>\n\n\n\n<li>PON OT4CLIMA<\/li>\n<\/ul>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-essential-blocks-accordion-item eb-accordion-item-1lstj eb-accordion-wrapper\" data-clickable=\"false\"><div class=\"eb-accordion-title-wrapper eb-accordion-title-wrapper-eb-accordion-63d5q\" tabindex=\"0\"><span class=\"eb-accordion-icon-wrapper eb-accordion-icon-wrapper-eb-accordion-63d5q\"><span class=\"dashicon dashicons dashicons-plus-alt2 eb-accordion-icon\"><\/span><\/span><div class=\"eb-accordion-title-content-wrap title-content-eb-accordion-63d5q\"><h3 class=\"eb-accordion-title\">Publications<\/h3><\/div><\/div><div class=\"eb-accordion-content-wrapper eb-accordion-content-wrapper-eb-accordion-63d5q\"><div class=\"eb-accordion-content\">\n<ul class=\"wp-block-list\">\n<li>H. Yizhaq, G. Bel, S. Silvestro, T. Elperin, J. F. Kok, M. Cardinale, A. Provenzale, I. Katra, The origin of the transverse instability of aeolian megaripples. <em>Earth Plan. Sci. Letters<\/em>, in press.<\/li>\n\n\n\n<li>M. Turco, J.J. Rosa-C\u00e1novas, J. Bedia, S. Jerez, J.P. Mont\u00e1vez, M.C. Llasat, A. Provenzale, Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with nonstationary climate-fire models. <em>Nature Communications<\/em>, 9:3821 | DOI: 10.1038\/s41467-018-06358-z (2018)<\/li>\n\n\n\n<li>M. Turco, S. Jerez, F.J. Doblas-Reyes, A. AghaKouchak, M.C. Llasat, A. Provenzale, Skilful forecasting of global fire activity using seasonal climate predictions. <em>Nature Communications<\/em>, DOI: 10.1038\/s41467-018-05250-0 (2018)<\/li>\n\n\n\n<li>M. Turco, J. von Hardenberg, A. AghaKouchak, M.C. Llasat, A. Provenzale, R.M. Trigo, On the key role of droughts in the dynamics of summer fires in Mediterranean Europe. Scientific Reports, 7, 81, DOI:10.1038\/s41598-017-00116-9 (2017).<\/li>\n\n\n\n<li>S. Terzago, J. von Hardenberg, E. Palazzi, A. Provenzale, Snow water equivalent in the Alps as seen by gridded data sets, CMIP5 and CORDEX climate models. <em>The Cryosphere<\/em>, 11, 1625-1645 (2017)<\/li>\n\n\n\n<li>L. Silva, G. Vladilo, G. Murante, A. Provenzale, Quantitative estimates of the surface habitability of Kepler-452b. <em>MNRAS<\/em>, &nbsp;https:\/\/doi.org\/10.1093\/mnras\/stx1396 (2017)<\/li>\n\n\n\n<li>M. Turco, J. von Hardenberg, A. AghaKouchak, M.-C. Llasat, A.&nbsp; Provenzale,&nbsp; R.M. Trigo, On the key role of droughts in the dynamics of summer fires in Mediterranean Europe. <em>Scientific Reports<\/em> 7: 81 | DOI:10.1038\/s41598-017-00116-9 (2017)<\/li>\n\n\n\n<li>L. Silva, G. Vladilo, P.M. Schulte, G. Murante, A. Provenzale. From climate models to planetary habitability: temperature constraints for complex life. <em>International Journal of Astrobiology<\/em>, doi:10.1017\/S1473550416000215 (2016)<\/li>\n\n\n\n<li>D. Lacitignola, F. Diele, C. Marangi, A. Provenzale. On the dynamics of a generalized predator-prey system with Z-type control. <em>Mathematical Biosciences<\/em>, in press (2016)<\/li>\n\n\n\n<li>A.B.&nbsp;Pieri, F. Falasca, J. von Hardenberg, A. Provenzale. Plume dynamics in rotating Rayleigh\u2013B\u00e9nard convection. <em>Physics Letters A<\/em>, 380, 1363-1367 (2016)<\/li>\n\n\n\n<li>F. Viterbo, J. von Hardenberg, A. Provenzale, L. Molini, A. Parodi, O.O. Sy, S. Tanelli. High-Resolution Simulations of the 2010 Pakistan Flood Event: Sensitivity to Parameterizations and Initialization Time. <em>J. Hydrometeorology<\/em>, 17, DOI: 10.1175\/JHM-D-15-0098.1 (2016)<\/li>\n\n\n\n<li>M. Turco, J. Bedia, F. Di Liberto, P. Fiorucci, J. von Hardenberg, N. Koutsias, M.C. Llasat, F. Xystrakis, A. Provenzale. Decreasing Fires in Mediterranean Europe. <em>PLOS ONE<\/em> 11, e0150663. doi:10.1371\/journalpone.0150663 (2016)<\/li>\n\n\n\n<li>J. von Hardenberg, D. Goluskin, A. Provenzale, E.A Spiegel. Generation of Large-Scale Winds in Horizontally Anisotropic Convection. <em>Physical Review Letters<\/em>, 115, 134501 (2015)<\/li>\n\n\n\n<li>A. Pieri, J. von Hardenberg, A. Parodi, A. Provenzale. Sensitivity of Precipitation Statistics to Resolution, Microphysics, and Convective Parameterization: A Case Study with the High-Resolution WRF Climate Model over Europe. <em>J. Hydrometeorology<\/em>, 16, doi: 10.1175\/JHM-D-14-0221.1 (2015)<\/li>\n\n\n\n<li>A. Provenzale, E. Palazzi, K. Fraedrich, Editors, The Fluid Dynamics of Climate, <em>CISM series<\/em> (Springer, 2015).<\/li>\n<\/ul>\n<\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The laboratory is hosted in the Pisa headquarter of the IGG, within the CNR Research Area of \u200b\u200bPisa.<\/p>","protected":false},"author":1,"featured_media":1632,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_eb_attr":"","neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"folder":[36],"class_list":["post-1630","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/pages\/1630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/comments?post=1630"}],"version-history":[{"count":13,"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/pages\/1630\/revisions"}],"predecessor-version":[{"id":6348,"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/pages\/1630\/revisions\/6348"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/media\/1632"}],"wp:attachment":[{"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/media?parent=1630"}],"wp:term":[{"taxonomy":"folder","embeddable":true,"href":"https:\/\/www.igg.cnr.it\/en\/wp-json\/wp\/v2\/folder?post=1630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}