Evaluating the sensitivity of agricultural model performance to different climate inputs.

ABSTRACT: Projections of future food production necessarily rely on models, which must themselves be validated through historical assessments comparing modeled to observed yields. Reliable historical validation requires both accurate agricultural models and accurate climate inputs. Problems with either may compromise the validation exercise. Previous studies have compared the effects of different climate inputs on agricultural projections, but either incompletely or without a ground truth of observed yields that would allow distinguishing errors due to climate inputs from those intrinsic to the crop model. This study is a systematic evaluation of the reliability of a widely-used crop model for simulating U.S. maize yields when driven by multiple observational data products. The parallelized Decision

SUBMITTER: Glotter MJ 

PROVIDER: S-EPMC5662947 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature