Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorJedlička, Karel
dc.contributor.authorValeš, Jiří
dc.contributor.authorHájek, Pavel
dc.contributor.authorKepka, Michal
dc.contributor.authorPitoňák, Martin
dc.date.accessioned2021-03-15T11:00:34Z-
dc.date.available2021-03-15T11:00:34Z-
dc.date.issued2021
dc.identifier.citationJEDLIČKA, K. VALEŠ, J. HÁJEK, P. KEPKA, M. PITOŇÁK, M.Calculation of Agro-Climatic Factors from Global Climatic Data. Applied Sciences, 2021, roč. 11, č. 3, s. 1-24. ISSN 2076-3417.cs
dc.identifier.issn2076-3417
dc.identifier.uri2-s2.0-85100405690
dc.identifier.urihttp://hdl.handle.net/11025/42982
dc.format24 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherMDPIen
dc.relation.ispartofseriesApplied Sciencesen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© MDPIen
dc.titleCalculation of Agro-Climatic Factors from Global Climatic Dataen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis manuscript aims to create large-scale calculations of agro-climatic factors from global climatic data with high granularity-climatic ERA5-Land dataset from the Copernicus Climate Change Service in particular. First, we analyze existing approaches used for agro-climatic factor calculation and formulate a frame for our calculations. Then we describe the design of our methods for calculation and visualization of certain agro-climatic factors. We then run two case studies. Firstly, the case study of Kojčice validates the uncertainty of input data by in-situ sensors. Then, the case study of the Pilsen region presents certain agro-climatic factors calculated for a representative point of the area and visualizes their time-variability in graphs. Maps represent a spatial distribution of the chosen factors for the Pilsen region. The calculated agro-climatic factors are frost dates, frost-free periods, growing degree units, heat stress units, number of growing days, number of optimal growing days, dates of fall nitrogen application, precipitation, evapotranspiration, and runoff sums together as water balance and solar radiation. The algorithms are usable anywhere in the world, especially in temperate and subtropical zones.en
dc.subject.translatedagro-climatic factorsen
dc.subject.translatedERA5-Landen
dc.subject.translatedagricultureen
dc.subject.translatedfrost-free perioden
dc.subject.translatedwater balanceen
dc.subject.translatedsolar radiationen
dc.subject.translatednitrogen applicationen
dc.subject.translatedtemperatureen
dc.subject.translatedgrowing perioden
dc.subject.translatedPilsen regionen
dc.identifier.doi10.3390/app11031245
dc.type.statusPeer-revieweden
dc.identifier.document-number615009700001
dc.identifier.obd43932358
dc.project.IDEF17_048/0007267/InteCom: VaV inteligentních komponent pokročilých technologií pro plzeňskou metropolitní oblastcs
dc.project.ID8A18004/AFarCloud - Aggregate Farming in the Cloud (2)cs
Vyskytuje se v kolekcích:Články / Articles (NTIS)
Články / Articles (KGM)
OBD

Soubory připojené k záznamu:
Soubor VelikostFormát 
applsci-11-01245.pdf5,64 MBAdobe PDFZobrazit/otevřít  Vyžádat kopii
Zobrazit minimální záznam Zobrazit statistiky


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/42982

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.

hledání
navigace
  1. DSpace at University of West Bohemia
  2. Publikační činnost / Publications
  3. OBD