Process‐based ecological models used to assess organisms' responses to environmental
conditions often need input data at a high temporal resolution, eg, hourly or daily weather
data. Such input data may not be available at a high spatial resolution for large areas,
limiting opportunities to use such models. Here we present a metamodeling framework to
develop reduced form ecological models that use lower resolution input data than the
original process models. We used generalized additive models to create metamodels for an …