Debates-The future of hydrological sciences: A (common)path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science

摘要

We suggest a systems theoretic framework for improving our ability to inform the discovery/learning process (and hence hydrologic science) from the juxtaposition of models and data, by taking a perspective based in Information Theory. We suggest that much can be gained by focusing more directly on the a priori role of Process Modeling (particularly System Architecture) while de-emphasizing detailed System Parameterizations or, framed as a question, "How can we generate input-state-output simulations without explicitly using the kinds of strong parameterizations (equations) commonly applied"? Stated simply, we anticipate a shift in the emphasis of modeling to the more creative aspects of scientific investigation.