An ensemble approach to the representation of subgrid-scale heterogeneity of crop phenology and yield in coarse-resolution large-area crop models

DOI Web Site Web Site 2 Citations 24 References
  • IIZUMI Toshichika
    Agro-Meteorology Division, National Institute for Agro-Environmental Sciences
  • SAKURAI Gen
    Agro-Meteorology Division, National Institute for Agro-Environmental Sciences
  • YOKOZAWA Masayuki
    Agro-Meteorology Division, National Institute for Agro-Environmental Sciences

Search this article

Abstract

The grid interval of a global climate model (GCM) is generally hundreds of kilometers in latitude and longitude. The spatial heterogeneity of crop condition (e.g., phenology and yields) at that scale could be substantial. Because the atmosphere-cropland exchanges of energy, water, and materials are sensitive to crop condition, this issue poses a question: How can we simulate the condition of a crop of interest on a GCM grid scale while taking into account the spatial heterogeneity of crop condition at a sub-grid scale? We therefore proposed an ensemble approach that uses stochastic parameter values to represent the spatial variation in the phenological and biophysical characteristics of a crop within a given GCM grid box, and tested its feasibility with simulation experiments. The combination of the Soil and Water Assessment Tool (SWAT) applied to maize in the Central Great Plains, United States, and coarse-resolution (2.5°×2.5°) reanalysis data was taken as the example. The ensemble simulations successfully captured the spatial variation in the phenology and yield. Our conclusion is that the ensemble approach is feasible and expected to benefit large-area crop modeling when extending those models to include more information on the spatial heterogeneity of crop condition than ever.

Journal

Citations (2)*help

See more

References(24)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top