The potential of data driven approaches for quantifying hydrological extremes

Author:

Hauswirth Sandra M.,Bierkens Marc F.P.,Beijk Vincent,Wanders Niko

Funder

NWO

Rijkswaterstaat

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference36 articles.

1. Introduction to machine learning;Alpaydin,2020

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3. The 2018 northern european hydrological drought and its drivers in a historical perspective;Bakke;Hydrol. Earth Syst. Sci.,2020

4. Toward creating simpler hydrological models: a LASSO subset selection approach;Bardsley;Environ. Modell. Software,2015

5. Dynamic programming and optimal control 3rd edition, volume ii;Bertsekas;Belmont, MA: Athena Scientific,2011

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