Simulation of Daily Mean Soil Temperatures for Agricultural Land Use Considering Limited Input Data

0543246 - ÚVGZ 2022 RIV CH eng J - Journal Article
Grabenweger, P. - Lalic, B. - Trnka, Miroslav - Balek, Jan - Murer, E. - Krammer, C. - Možný, Martin - Gobin, A. - Saylan, L. - Eitzinger, J.
Simulation of Daily Mean Soil Temperatures for Agricultural Land Use Considering Limited Input Data.
Atmosphere. Roč. 12, č. 4 (2021), č. článku 441. E-ISSN 2073-4433
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : surface-temperature * climate-change * model * water * radiation * dynamics * prediction * submodel * moisture * plant * agrometeorology * soil temperature * simulation model * soil climate * soil freezing and thawing * soil cover effects * agricultural soils
OECD category: Meteorology and atmospheric sciences
Impact factor: 3.110, year: 2021
Method of publishing: Open access
https://www.mdpi.com/2073-4433/12/4/441

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.
Permanent Link: http://hdl.handle.net/11104/0320495