Comparative responses of EPIC and CERES crop models to high and low spatial resolution climate change scenarios

L. O. Mearns, T. Mavromatis, E. Tsvetsinskaya, C. Hays, W. Easterling

Research output: Contribution to journalReview articlepeer-review

107 Scopus citations

Abstract

We compared the responses of the CERES and EPIC crop models, for wheat and corn, to two different climate change scenarios of different spatial scales applied to the central Great Plains. The scenarios were formed from a high-resolution regional climate model (RegCM) and a coarse resolution general circulation model, which provided the initial and boundary conditions for the regional model. Important differences in yield were predicted by the two models for the two different scenarios. For corn, CERES simulated moderate yield decreases for both scenarios, while EPIC simulated a decrease for the coarse scenario but no change for the fine scale scenario. Differences in the simulation of wheat yields were also found. These differences were traced to the contrasting ways in which the models form final yield, even though their strategies for simulating potential total biomass are similar. We identify the crop model type as an important uncertainty in impacts assessment in addition to the spatial resolution of climate change scenarios.

Original languageEnglish (US)
Article number1998JD200061
Pages (from-to)6623-6646
Number of pages24
JournalJournal of Geophysical Research Atmospheres
Volume104
Issue numberD6
DOIs
StatePublished - Mar 27 1999

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

Fingerprint

Dive into the research topics of 'Comparative responses of EPIC and CERES crop models to high and low spatial resolution climate change scenarios'. Together they form a unique fingerprint.

Cite this