{"id":1249,"date":"2020-12-01T21:44:43","date_gmt":"2020-12-01T21:44:43","guid":{"rendered":"https:\/\/www.ime.usp.br\/~pedrosp\/?page_id=1249"},"modified":"2022-04-13T19:51:22","modified_gmt":"2022-04-13T19:51:22","slug":"codes","status":"publish","type":"page","link":"https:\/\/www.ime.usp.br\/~pedrosp\/codes\/","title":{"rendered":"Codes"},"content":{"rendered":"\n<p>This software is under constant development, and&nbsp;is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY!<\/p>\n\n\n\n<p>Please contact me if you have any problems or suggestions.<\/p>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">iModel &#8211; Icosahedral grid tools for geophysical fluid dynamics&nbsp;modelling<\/h3>\n\n\n\n<p>The software is a pack of tools to work with icosahedral and Voronoi geodesic grid based geophysical&nbsp;fluid models. Fully written in Fortran, with outputs using GMT\/Python\/Matlab. <\/p>\n\n\n\n<div class=\"wp-block-ugb-icon ugb-icon ugb-2381324 ugb-icon--v2 ugb-icon--design-basic ugb-main-block\"><style>.ugb-2381324{justify-content:flex-start !important}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg svg{width:40px !important;height:40px !important}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg{color:#000000 !important}.ugb-2381324 .ugb-icon__title{text-align:left}.ugb-2381324 .ugb-inner-block{text-align:left}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg svg *{color:#000000 !important;fill:#000000 !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-icon__content-wrapper\"><div class=\"ugb-icon__item ugb-icon__item1\"><a class=\"ugb-icon__icon\" href=\"https:\/\/github.com\/pedrospeixoto\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><div class=\"ugb-icon-inner-svg\"><svg class=\"ugb-custom-icon\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\"><path d=\"M12 0c-6.626 0-12 5.373-12 12 0 5.302 3.438 9.8 8.207 11.387.599.111.793-.261.793-.577v-2.234c-3.338.726-4.033-1.416-4.033-1.416-.546-1.387-1.333-1.756-1.333-1.756-1.089-.745.083-.729.083-.729 1.205.084 1.839 1.237 1.839 1.237 1.07 1.834 2.807 1.304 3.492.997.107-.775.418-1.305.762-1.604-2.665-.305-5.467-1.334-5.467-5.931 0-1.311.469-2.381 1.236-3.221-.124-.303-.535-1.524.117-3.176 0 0 1.008-.322 3.301 1.23.957-.266 1.983-.399 3.003-.404 1.02.005 2.047.138 3.006.404 2.291-1.552 3.297-1.23 3.297-1.23.653 1.653.242 2.874.118 3.176.77.84 1.235 1.911 1.235 3.221 0 4.609-2.807 5.624-5.479 5.921.43.372.823 1.102.823 2.222v3.293c0 .319.192.694.801.576 4.765-1.589 8.199-6.086 8.199-11.386 0-6.627-5.373-12-12-12z\"><\/path><\/svg><\/div><\/a><h5 class=\"ugb-icon__title\">Github<\/h5><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"> MPAS-PXT &#8211; A consistent version of Model for Prediction Accross Scales<\/h3>\n\n\n\n<p> This is a modification of the Model for Prediction Across Scales based on Peixoto (2016) Journal of Computational Physics paper to ensure higher order horizontal finite volume operators. <\/p>\n\n\n\n<div class=\"wp-block-ugb-icon ugb-icon ugb-2381324 ugb-icon--v2 ugb-icon--design-basic ugb-main-block\"><style>.ugb-2381324{justify-content:flex-start !important}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg svg{width:40px !important;height:40px !important}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg{color:#000000 !important}.ugb-2381324 .ugb-icon__title{text-align:left}.ugb-2381324 .ugb-inner-block{text-align:left}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg svg *{color:#000000 !important;fill:#000000 !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-icon__content-wrapper\"><div class=\"ugb-icon__item ugb-icon__item1\"><a class=\"ugb-icon__icon\" href=\"https:\/\/github.com\/pedrospeixoto\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><div class=\"ugb-icon-inner-svg\"><svg class=\"ugb-custom-icon\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\"><path d=\"M12 0c-6.626 0-12 5.373-12 12 0 5.302 3.438 9.8 8.207 11.387.599.111.793-.261.793-.577v-2.234c-3.338.726-4.033-1.416-4.033-1.416-.546-1.387-1.333-1.756-1.333-1.756-1.089-.745.083-.729.083-.729 1.205.084 1.839 1.237 1.839 1.237 1.07 1.834 2.807 1.304 3.492.997.107-.775.418-1.305.762-1.604-2.665-.305-5.467-1.334-5.467-5.931 0-1.311.469-2.381 1.236-3.221-.124-.303-.535-1.524.117-3.176 0 0 1.008-.322 3.301 1.23.957-.266 1.983-.399 3.003-.404 1.02.005 2.047.138 3.006.404 2.291-1.552 3.297-1.23 3.297-1.23.653 1.653.242 2.874.118 3.176.77.84 1.235 1.911 1.235 3.221 0 4.609-2.807 5.624-5.479 5.921.43.372.823 1.102.823 2.222v3.293c0 .319.192.694.801.576 4.765-1.589 8.199-6.086 8.199-11.386 0-6.627-5.373-12-12-12z\"><\/path><\/svg><\/div><\/a><h5 class=\"ugb-icon__title\">Github<\/h5><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Mdyn &#8211; Mobile Dynamics for Epidemiology<\/h3>\n\n\n\n<p>Python and R codes for mobile geolocation data treatment. Also includes epidemiology models on complex networks, which were used in the COVID19 pandemic.<\/p>\n\n\n\n<div class=\"wp-block-ugb-icon ugb-icon ugb-2381324 ugb-icon--v2 ugb-icon--design-basic ugb-main-block\"><style>.ugb-2381324{justify-content:flex-start !important}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg svg{width:40px !important;height:40px !important}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg{color:#000000 !important}.ugb-2381324 .ugb-icon__title{text-align:left}.ugb-2381324 .ugb-inner-block{text-align:left}.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-2381324 .ugb-icon__icon .ugb-icon-inner-svg svg *{color:#000000 !important;fill:#000000 !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-icon__content-wrapper\"><div class=\"ugb-icon__item ugb-icon__item1\"><a class=\"ugb-icon__icon\" href=\"https:\/\/github.com\/pedrospeixoto\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><div class=\"ugb-icon-inner-svg\"><svg class=\"ugb-custom-icon\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\"><path d=\"M12 0c-6.626 0-12 5.373-12 12 0 5.302 3.438 9.8 8.207 11.387.599.111.793-.261.793-.577v-2.234c-3.338.726-4.033-1.416-4.033-1.416-.546-1.387-1.333-1.756-1.333-1.756-1.089-.745.083-.729.083-.729 1.205.084 1.839 1.237 1.839 1.237 1.07 1.834 2.807 1.304 3.492.997.107-.775.418-1.305.762-1.604-2.665-.305-5.467-1.334-5.467-5.931 0-1.311.469-2.381 1.236-3.221-.124-.303-.535-1.524.117-3.176 0 0 1.008-.322 3.301 1.23.957-.266 1.983-.399 3.003-.404 1.02.005 2.047.138 3.006.404 2.291-1.552 3.297-1.23 3.297-1.23.653 1.653.242 2.874.118 3.176.77.84 1.235 1.911 1.235 3.221 0 4.609-2.807 5.624-5.479 5.921.43.372.823 1.102.823 2.222v3.293c0 .319.192.694.801.576 4.765-1.589 8.199-6.086 8.199-11.386 0-6.627-5.373-12-12-12z\"><\/path><\/svg><\/div><\/a><h5 class=\"ugb-icon__title\">Github<\/h5><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>This software is under constant development, and&nbsp;is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY! Please contact me if you have any problems or suggestions. iModel &#8211; Icosahedral grid tools for geophysical fluid dynamics&nbsp;modelling The software is a pack of tools to work with icosahedral and Voronoi geodesic grid based [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-1249","page","type-page","status-publish","hentry"],"featured_image_urls_v2":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable_v2":"<p>This software is under constant development, and&nbsp;is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY! Please contact me if you have any problems or suggestions. iModel &#8211; Icosahedral grid tools for geophysical fluid dynamics&nbsp;modelling The software is a pack of tools to work with icosahedral and Voronoi geodesic grid based geophysical&nbsp;fluid models. Fully written in Fortran, with outputs using GMT\/Python\/Matlab. Github MPAS-PXT &#8211; A consistent version of Model for Prediction Accross Scales This is a modification of the Model for Prediction Across Scales based on Peixoto (2016) Journal of Computational Physics paper to ensure higher&hellip;<\/p>\n","category_list_v2":"","author_info_v2":{"name":"Pedro","url":"https:\/\/www.ime.usp.br\/~pedrosp\/author\/pedrosp\/"},"comments_num_v2":"0 comments","_links":{"self":[{"href":"https:\/\/www.ime.usp.br\/~pedrosp\/wp-json\/wp\/v2\/pages\/1249","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ime.usp.br\/~pedrosp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ime.usp.br\/~pedrosp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ime.usp.br\/~pedrosp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ime.usp.br\/~pedrosp\/wp-json\/wp\/v2\/comments?post=1249"}],"version-history":[{"count":0,"href":"https:\/\/www.ime.usp.br\/~pedrosp\/wp-json\/wp\/v2\/pages\/1249\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.ime.usp.br\/~pedrosp\/wp-json\/wp\/v2\/media?parent=1249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}