Simulation of daily mean soil temperatures for agricultural land use considering limited input data

Philipp Grabenweger; Branislava Lalic; Miroslav Trnka; Jan Balek; Erwin Murer; Carmen Krammer; Martin Možný; Anne Gobin; Levent Şaylan; Josef Eitzinger

doi:10.3390/atmos12040441

Simulation of daily mean soil temperatures for agricultural land use considering limited input data

Philipp Grabenweger, Branislava Lalic, Miroslav Trnka, Jan Balek, Erwin Murer, Carmen Krammer, Martin Možný, Anne Gobin, Levent Şaylan, Josef Eitzinger^*

^*Corresponding author for this work

Department of Meteorological Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Article number	441
Journal	Atmosphere
Volume	12
Issue number	4
DOIs	https://doi.org/10.3390/atmos12040441
Publication status	Published - Apr 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Funding

Acknowledgments: The research work described in the paper was carried out through support from several projects. The database, model development, simulations, and results analysis were supported by projects CLIMSOIL and AGROFORECAST of the Austrian Climate Research Program (ACRP). The authors acknowledge the financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia (Grant No. 451-03-68/2020-14/200125). Results analysis and manuscript development were supported by project H2020-TWINNING-SERBIA FOR EXCELL, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 691998. The database and simulations were also supported by the SustES project—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797). The research work described in the paper was carried out through support from several projects. The database, model development, simulations, and results analysis were supported by projects CLIMSOIL and AGROFORECAST of the Austrian Climate Research Program (ACRP). The authors acknowledge the financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia (Grant No. 451-03-68/2020-14/200125). Results analysis and manuscript development were supported by project H2020-TWINNING-SERBIA FOR EXCELL, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 691998. The database and simulations were also supported by the SustES project—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797).

Funders	Funder number
Horizon 2020 Framework Programme	CZ.02.1.01/0.0/0.0/16_019/0000797, 691998
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja	451-03-68/2020-14/200125

Keywords

Agricultural soils
Agrometeorology
Simulation model
Soil climate
Soil cover effects
Soil freezing and thawing
Soil temperature

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10.3390/atmos12040441

Cite this

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title = "Simulation of daily mean soil temperatures for agricultural land use considering limited input data",

abstract = "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.",

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doi = "10.3390/atmos12040441",

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AU - Krammer, Carmen

AU - Možný, Martin

AU - Gobin, Anne

AU - Şaylan, Levent

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KW - Soil cover effects

KW - Soil freezing and thawing

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Simulation of daily mean soil temperatures for agricultural land use considering limited input data

Abstract

Bibliographical note

Funding

Keywords

Access to Document

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