Simulation of Daily Mean Soil Temperatures for Agricultural Land Use Considering Limited Input Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F21%3A00543246" target="_blank" >RIV/86652079:_____/21:00543246 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00020699:_____/22:N0000007 RIV/62156489:43210/21:43919658
Výsledek na webu
<a href="https://www.mdpi.com/2073-4433/12/4/441" target="_blank" >https://www.mdpi.com/2073-4433/12/4/441</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/atmos12040441" target="_blank" >10.3390/atmos12040441</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Simulation of Daily Mean Soil Temperatures for Agricultural Land Use Considering Limited Input Data
Popis výsledku v původním jazyce
A one-dimensional simulation model that simulates daily mean soil temperature on a daily time-step basis, named AGRISOTES (AGRIcultural SOil TEmperature Simulation), is described. It considers ground coverage by biomass or a snow layer and accounts for the freeze/thaw effect of soil water. The model is designed for use on agricultural land with limited (and mostly easily available) input data, for estimating soil temperature spatial patterns, for single sites (as a stand-alone version), or in context with agrometeorological and agronomic models. The calibration and validation of the model are carried out on measured soil temperatures in experimental fields and other measurement sites with various climates, agricultural land uses and soil conditions in Europe. The model validation shows good results, but they are determined strongly by the quality and representativeness of the measured or estimated input parameters to which the model is most sensitive, particularly soil cover dynamics (biomass and snow cover), soil pore volume, soil texture and water content over the soil column.
Název v anglickém jazyce
Simulation of Daily Mean Soil Temperatures for Agricultural Land Use Considering Limited Input Data
Popis výsledku anglicky
A one-dimensional simulation model that simulates daily mean soil temperature on a daily time-step basis, named AGRISOTES (AGRIcultural SOil TEmperature Simulation), is described. It considers ground coverage by biomass or a snow layer and accounts for the freeze/thaw effect of soil water. The model is designed for use on agricultural land with limited (and mostly easily available) input data, for estimating soil temperature spatial patterns, for single sites (as a stand-alone version), or in context with agrometeorological and agronomic models. The calibration and validation of the model are carried out on measured soil temperatures in experimental fields and other measurement sites with various climates, agricultural land uses and soil conditions in Europe. The model validation shows good results, but they are determined strongly by the quality and representativeness of the measured or estimated input parameters to which the model is most sensitive, particularly soil cover dynamics (biomass and snow cover), soil pore volume, soil texture and water content over the soil column.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000797" target="_blank" >EF16_019/0000797: SustES - Adaptační strategie pro udržitelnost ekosystémových služeb a potravinové bezpečnosti v nepříznivých přírodních podmínkách</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Atmosphere
ISSN
2073-4433
e-ISSN
2073-4433
Svazek periodika
12
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
36
Strana od-do
441
Kód UT WoS článku
000642735700001
EID výsledku v databázi Scopus
2-s2.0-85104326114