Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A89498" target="_blank" >RIV/60460709:41320/21:89498 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/17538947.2021.1953161" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/17538947.2021.1953161</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/17538947.2021.1953161" target="_blank" >10.1080/17538947.2021.1953161</a>
Alternative languages
Result language
angličtina
Original language name
Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs
Original language description
Gridded model assessments require at least one climatic and one soil database for carrying out the simulations. There are several parallel soil and climate database development projects that provide sufficient, albeit considerably different, observation based input data for crop model based impact studies. The input database related uncertainty of the Biome-BGCMuSo agro-environmental model outputs was investigated using three and four different gridded climatic and soil databases, respectively covering an area of nearly 100,000 km(2) with 1104 grid cells. Spatial, temporal, climate and soil database selection related variances were calculated and compared for four model outputs obtained from 30 year long simulations. The choice of the input database introduced model output variability that was comparable to the variability the year to year change of the weather or the spatial heterogeneity of the soil causes. Input database selection could be a decisive factor in carbon sequestration related studies
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Digital Earth
ISSN
1753-8947
e-ISSN
1753-8955
Volume of the periodical
14
Issue of the periodical within the volume
11
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
20
Pages from-to
1582-1601
UT code for WoS article
000675709000001
EID of the result in the Scopus database
2-s2.0-85111376957