Improving the simulation of soil temperature within the EPIC model. (October 2021)

• Record Type: Journal Article
• Authors: Doro, Luca; Wang, Xiuying; Ammann, Christof; De Antoni Migliorati, Massimiliano; Grünwald, Thomas; Klumpp, Katja; Loubet, Benjamin; Pattey, Elizabeth; Wohlfahrt, Georg; Williams, Jimmy R.; Norfleet, M. Lee
• Is Part Of: Environmental modelling & software. Volume 144(2021)
• Publication Date: 2021-10
• Subjects: APEX model -- Cosine function -- Soil heat transfer -- Damping depth; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.105140
• Languages: English
• ISSNs: 1364-8152

Abstract

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. Highlights: Original EPIC approach gives less than optimal results in cold weather. Improved cosine function and new pseudo heat transfer added to the EPIC model. Both methods improved the performance in simulating soil temperature. Use of the pseudo heat transfer suggested in sites with snow cover. Better results without calibration proved the robustness of improved cosine function.