{"id":6,"date":"2024-04-04T05:09:08","date_gmt":"2024-04-04T02:09:08","guid":{"rendered":"https:\/\/sisu.ut.ee\/biogeomon2020\/pre-conference-workshop\/"},"modified":"2024-04-04T05:10:24","modified_gmt":"2024-04-04T02:10:24","slug":"pre-conference-workshop","status":"publish","type":"page","link":"https:\/\/sisu.ut.ee\/biogeomon2020\/pre-conference-workshop\/","title":{"rendered":"Pre-conference workshop"},"content":{"rendered":"

\n\tOpen Workshop on <\/span><\/b>\u201c<\/span>Spatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python\u201d<\/span><\/strong>\n<\/p>\n

\n\t\"teaser\"\n<\/p>\n

\n\t\u00a0\n<\/p>\n

\n\t\u00a0\n<\/p>\n

\n\tBy PhD Alexander Kmoch, PhD Evelyn Uuemaa, Holger Virro and Bruno Montibeller<\/span>\n<\/p>\n

\n\t\u00a0\n<\/p>\n

\n\tNumber of participants:<\/span><\/b> 25<\/span>\n<\/p>\n

\n\tFee:<\/span><\/b> free<\/span>\n<\/p>\n

\n\tLocation:<\/span><\/b> Department of Geography, Vanemuise 46 \u2013 202<\/span>\n<\/p>\n

\n\tTime and date:<\/span><\/b> 26th<\/sup> June\u00a011.00-15.00 (including a small lunch break of ca 30 minutes)<\/span>\n<\/p>\n

\n\tPre-requisites:<\/span><\/b> Some prior knowledge in Python is advised, but nor required. <\/span>You may bring your own laptop but the workshop takes place in the computer lab which also has computers.<\/span>\n<\/p>\n

\n\tThere are wide range of global or regional level climate data available in a gridded format. Under the changing climate, we need to quantify the variability of temperature and rainfall patterns to understand the impact of climate change on ecosystems.<\/span><\/span> In this workshop, <\/span>we teach the participants how to handle NetCDF datasets, apply the Mann-Kendall (MK) test and calculate Sen\u2019s slope (SS) values on a gridded climate dataset.<\/span>\n<\/p>\n

\n\t\"Pangeo\"<\/a>\n<\/p>\n

\n\tWe will be using Python packages from the <\/span>Pangeo<\/a> community, including <\/span>Jupyter<\/a> notebooks and the <\/span>Xarray<\/a> toolkit <\/span>for working with labeled multi-dimensional arrays of data. In addition, we will demonstrate a few basic steps how to improve reproducibility and pro-actively apply FAIR principles when sharing and archiving data and code online for publishing via GitHub<\/a> and Zenodo<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Open Workshop on \u201cSpatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python\u201d \u00a0 \u00a0 By PhD Alexander Kmoch, PhD Evelyn Uuemaa, Holger Virro and Bruno Montibeller \u00a0 Number of participants: 25 Fee: free Location: Department of Geography, …<\/p>\n","protected":false},"author":345,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/users\/345"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":591,"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/pages\/6\/revisions\/591"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/biogeomon2020\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}