Improving the simulation of soil temperature within the EPIC model

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Luca Doro - , Texas A&M University (Autor:in)
  • Xiuying Wang - , Texas A&M University (Autor:in)
  • Christof Ammann - , Forschungsanstalt Agroscope Reckenholz-Tanikon (Autor:in)
  • Massimiliano De Antoni Migliorati - , Queensland Department of Environment, Science and Innovation (Autor:in)
  • Thomas Grünwald - , Professur für Meteorologie (Autor:in)
  • Katja Klumpp - , UREP (Autor:in)
  • Benjamin Loubet - , Université Paris-Saclay (Autor:in)
  • Elizabeth Pattey - , Agriculture and Agri-Food Canada (Autor:in)
  • Georg Wohlfahrt - , Universität Innsbruck (Autor:in)
  • Jimmy R. Williams - , Texas A&M University (Autor:in)
  • M. Lee Norfleet - , Texas A&M University (Autor:in)

Abstract

Soil temperature is a key driver of several physical, chemical, and biological processes. The Environmental Policy Integrated Climate (EPIC) is a comprehensive ecosystem model that simulates soil temperature dynamics using a cosine function approach driven by daily air temperature and average annual soil temperature at damping depth, which may erroneously predict lower soil temperatures in winter. A new cosine model and a pseudo-heat-transfer model were therefore developed and implemented for simulating soil temperature. The two methods were evaluated by comparing simulated daily soil temperatures with observed data at 24 study sites. Results showed that the two new methods had similar performance and the better statistical results obtained with these new methods demonstrated the ability to better predict the soil temperature for a wide range of pedoclimatic conditions, land management, and land uses. The main reason for the improved performance was due to a better prediction of soil temperature during the winter period.

Details

OriginalspracheEnglisch
Aufsatznummer105140
FachzeitschriftEnvironmental Modelling and Software
Jahrgang144
PublikationsstatusVeröffentlicht - Okt. 2021
Peer-Review-StatusJa

Externe IDs

Scopus 85111205839
ORCID /0000-0003-2263-0073/work/163765966

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • APEX model, Cosine function, Damping depth, Soil heat transfer