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^*

^*Bu çalışma için yazışmadan sorumlu yazar

Meteoroloji Müh.Bölümü

University of Natural Resources and Life Sciences, Vienna
University of Novi Sad
Czech Academy of Sciences
Mendel University in Brno
Federal Agency for Water Management
Czech Hydrometeorological Institute
Flemish Institute for Technological Research
KU Leuven

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

4 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Makale numarası	441
Dergi	Atmosphere
Hacim	12
Basın numarası	4
DOI'lar	https://doi.org/10.3390/atmos12040441
Yayın durumu	Yayınlandı - Nis 2021

Bibliyografik not

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

Finansman

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).

Finansörler	Finansör numarası
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

Belgeye Erişim

10.3390/atmos12040441

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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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.",

keywords = "Agricultural soils, Agrometeorology, Simulation model, Soil climate, Soil cover effects, Soil freezing and thawing, Soil temperature",

author = "Philipp Grabenweger and Branislava Lalic and Miroslav Trnka and Jan Balek and Erwin Murer and Carmen Krammer and Martin Mo{\v z}n{\'y} and Anne Gobin and Levent {\c S}aylan and Josef Eitzinger",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = apr,

doi = "10.3390/atmos12040441",

language = "English",

volume = "12",

journal = "Atmosphere",

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T1 - Simulation of daily mean soil temperatures for agricultural land use considering limited input data

AU - Grabenweger, Philipp

AU - Lalic, Branislava

AU - Trnka, Miroslav

AU - Balek, Jan

AU - Murer, Erwin

AU - Krammer, Carmen

AU - Možný, Martin

AU - Gobin, Anne

AU - Şaylan, Levent

AU - Eitzinger, Josef

PY - 2021/4

Y1 - 2021/4

N2 - 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.

AB - 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.

KW - Agricultural soils

KW - Agrometeorology

KW - Simulation model

KW - Soil climate

KW - Soil cover effects

KW - Soil freezing and thawing

KW - Soil temperature

UR - https://www.scopus.com/pages/publications/85104326114

U2 - 10.3390/atmos12040441

DO - 10.3390/atmos12040441

M3 - Article

AN - SCOPUS:85104326114

SN - 2073-4433

VL - 12

JO - Atmosphere

JF - Atmosphere

IS - 4

M1 - 441

ER -

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

Özet

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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