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

Research output: Contribution to journalArticlepeer-review

2 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 languageEnglish
Article number441
JournalAtmosphere
Volume12
Issue number4
DOIs
Publication statusPublished - Apr 2021

Bibliographical note

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

Keywords

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

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