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Title (Primary) Scaling, smilarity, and the fourth paradigm for hydrology
Author Peters-Lidard, C.D.; Clark, M.; Samaniego, L.; Verhoest, N.E.C.; van Emmerik, T.; Uijlenhoet, R.; Achieng, K.; Franz, T.E.; Woods, R.;
Journal Hydrology and Earth System Sciences
Year 2017
Department CHS;
Volume 21
Issue 7
Language englisch;
POF III (all) T34; T53;
UFZ wide themes RU5;
Abstract In this review of 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), and assert that it is time for hydrology to embrace a fourth paradigm of data-intensive science. Advances in information-based hydrologic science, coupled with an explosion of hydrologic data and advances in parameter estimation and modelling, have laid the foundation for a data-driven framework for scrutinizing hydrological scaling and similarity hypotheses. We summarize important scaling and similarity concepts (hypotheses) that require testing, describe a mutual information framework for testing these hypotheses, describe boundary condition, state/flux, and parameter data requirements across scales to support testing these hypotheses, and discuss some challenges to overcome while pursuing the fourth hydrological paradigm. We call upon the hydrologic sciences community to develop a focused effort towards adopting the fourth paradigm and apply this to outstanding challenges in scaling and similarity.
ID 18296
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18296
Peters-Lidard, C.D., Clark, M., Samaniego, L., Verhoest, N.E.C., van Emmerik, T., Uijlenhoet, R., Achieng, K., Franz, T.E., Woods, R. (2017):
Scaling, smilarity, and the fourth paradigm for hydrology
Hydrol. Earth Syst. Sci. 21 (7), 3701 - 3713