Scaling, similarity, and the fourth paradigm for hydrology

摘要: In this synthesis paper addressing hydrologic scaling and similarity, we posit that roadblocks in the search for universal laws of hydrology are hindered by our focus on computational simulation (the third paradigm) assert it is time to embrace a fourth paradigm data-intensive science. Advances information-based science, coupled with an explosion data advances parameter estimation modeling, have laid foundation data-driven framework scrutinizing hydrological similarity hypotheses. We summarize important concepts (hypotheses) require testing; describe mutual information testing these hypotheses; boundary condition, state, flux, requirements across scales support discuss some challenges overcome while pursuing paradigm. call upon sciences community develop focused effort towards adopting apply outstanding similarity.