{"id":985,"date":"2020-09-21T23:58:34","date_gmt":"2020-09-21T21:58:34","guid":{"rendered":"https:\/\/www.lesprojekt.cz\/?p=985"},"modified":"2020-09-21T23:58:35","modified_gmt":"2020-09-21T21:58:35","slug":"challenge-13-calculation-of-agro-climatic-factors-potential-source-of-information-for-forecasting-regional-food-supplies","status":"publish","type":"post","link":"https:\/\/www.lesprojekt.cz\/?p=985","title":{"rendered":"CHALLENGE #13 Calculation of agro-climatic factors \u2013 potential source of information for forecasting regional food supplies"},"content":{"rendered":"\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.plan4all.eu\/wp-content\/uploads\/2020\/09\/Ch_13.png\"><img decoding=\"async\" src=\"https:\/\/www.plan4all.eu\/wp-content\/uploads\/2020\/09\/Ch_13.png\" alt=\"\" class=\"wp-image-3051\"\/><\/a><\/figure>\n\n\n\n<p><a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSfBWFdIErX0BpjxJjz1945IBGiqFAnyTQc5bA_avtt5RHU3OQ\/viewform\">Register now!<\/a><\/p>\n\n\n\n<p><strong>Mentors: Karel Jedlicka, Michal Kepka<\/strong><\/p>\n\n\n\n<p>The challenge aims to calculate all relevant agro-climatic factors (see below) in order to describe an area of interest comprehensively, using the algorithms published <a href=\"https:\/\/github.com\/JiriVales\/agroclimatic-factors\/wiki\">here<\/a>. The challenge aims to test the global applicability of the factors\u2019 calculations \u2013 thus we look forward to a wide variety of case study areas).&nbsp;<\/p>\n\n\n\n<p>&nbsp;Following agro-climatic factors can be calculated:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>frost-free periods<\/em>, <em>growing degree units<\/em>, <em>heat stress units<\/em>, <em>number of (optimal) growing degree days<\/em> from <em>temperature<\/em>.<\/li><li><em>nitrogen application window<\/em> from <em>soil temperature<\/em>.<\/li><li><em>accumulated solar radiation<\/em> from <em>incident sunlight<\/em>.<\/li><li><em>water balance<\/em> from <em>precipitation<\/em>, <em>evapotranspiration<\/em>, and <em>runoff data<\/em>.<\/li><\/ul>\n\n\n\n<p>The algorithms calculating the factors will primary use the worldwide <a href=\"https:\/\/cds.climate.copernicus.eu\/cdsapp#!\/dataset\/reanalysis-era5-land?tab=overview\">ERA5 Land dataset<\/a> as a climatic data source. Nevertheless, other data sources can be leveraged as well, e.g.the <a href=\"https:\/\/climate.copernicus.eu\/copernicus-regional-reanalysis-europe-cerra\">Copernicus regional reanalysis for Europe (CERRA)<\/a>, <a href=\"https:\/\/www.meteoblue.com\/en\/weather\/archive\/export\/api_nepal_1283728\">meteoblue historical API<\/a>, <a href=\"https:\/\/www.met.no\/en\/free-meteorological-data\">free meteorological data<\/a> from the Norwegian Meteorological Institute (<a href=\"https:\/\/api.met.no\/index.html\">API<\/a>, <a href=\"https:\/\/www.met.no\/en\/free-meteorological-data\/Download-services\">download<\/a>) or others.<\/p>\n\n\n\n<p>To assess the input data quality (which of course influences the accuracy of the calculated agro-climatic factors), an evaluation has to run. In the case of the ERA5 Land dataset, the uncertainty will be evaluated using the information from the reduced resolution member ensemble (EDA) of <a href=\"https:\/\/cds.climate.copernicus.eu\/cdsapp#!\/dataset\/reanalysis-era5-land?tab=overview\">ERA5<\/a>.<\/p>\n\n\n\n<p>However, to come to a \u201cground truth\u201d as much as possible, our aim&nbsp; is to compare the input climatic data to some in-situ&nbsp; sensors in the area of interest and then discuss the limits of leveraging the global data.<\/p>\n\n\n\n<p><a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSfBWFdIErX0BpjxJjz1945IBGiqFAnyTQc5bA_avtt5RHU3OQ\/viewform\">Register now!<\/a><\/p>\n\n\n\n<p><strong>About your mentors<\/strong><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft is-resized\"><a href=\"https:\/\/www.plan4all.eu\/wp-content\/uploads\/2020\/09\/Kaja.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.plan4all.eu\/wp-content\/uploads\/2020\/09\/Kaja.png\" alt=\"\" class=\"wp-image-3053\" width=\"148\" height=\"148\"\/><\/a><\/figure><\/div>\n\n\n\n<p><strong>KAREL JEDLICKA<\/strong> The theoretical background of Karel\u2019s research lies in modeling, analysis, and even simulation using multidimensional (geographic) data structures. In particular, Karel actively researches on 3D and 4D aspects of Geographical Information Systems. Primarily Karel focuses on the following application domains:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>analysis of trends in climatic and weather data for agricultural purposes and&nbsp;<\/li><li>influence on transport to the city life, by designing and developing interactive traffic models for Digital twins of Smart cities.<\/li><\/ul>\n\n\n\n<p>Karel has been leveraging his skills in various EU projects since 2007. Karel usually acts as a leader of a small research or technical team in the project. He participated, namely in Stargate, EUXDAT, AfarCloud, and DataBio projects related to agriculture and in DUET, PoliVisu, and OpenTransportNet projects related to Smart Cities.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft is-resized\"><a href=\"https:\/\/www.plan4all.eu\/wp-content\/uploads\/2020\/09\/image1060.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.plan4all.eu\/wp-content\/uploads\/2020\/09\/image1060.png\" alt=\"\" class=\"wp-image-3052\" width=\"119\" height=\"117\"\/><\/a><\/figure><\/div>\n\n\n\n<p><strong>MICHAL KEPKA<\/strong> is a researcher that participated in many EU projects (e.g. AFarCloud, SmartAgriHubs, FOODIE, DataBio, SDI4Apps etc.) as geomatician, spatial data modeller, software developer, sensor data expert. PhD at the University of West Bohemia in Geomatics (2018). Research activities: spatial data modelling, application design and development, sensor data processing and publishing according to standards (e.g. OGC SOS, SensorThingsAPI, OMA NGSI).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Register now! Mentors: Karel Jedlicka, Michal Kepka The challenge aims to calculate all relevant agro-climatic factors (see below) in order to describe an area of interest comprehensively, using the algorithms published here. The challenge aims to test the global applicability of the factors\u2019 calculations \u2013 thus we look forward to a wide variety of case [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-985","post","type-post","status-publish","format-standard","hentry","category-nezarazene"],"_links":{"self":[{"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=\/wp\/v2\/posts\/985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=985"}],"version-history":[{"count":1,"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=\/wp\/v2\/posts\/985\/revisions"}],"predecessor-version":[{"id":986,"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=\/wp\/v2\/posts\/985\/revisions\/986"}],"wp:attachment":[{"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lesprojekt.cz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}