Using big data to detect and attribute global hydrological change

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    LI["Linked Institutions (7)"]
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ADS bibcode
2018AGUFM.H51L1458S
year
2018
Listed Authors
Seneviratne, S. I.
Gudmundsson, L.
Do, H. X.
Gosling, S.
Leonard, M.
Liu, J.
Mueller Schmied, H.
Schewe, J.
Seth, W.
Thiery, W.
Zhang, X.
Zhao, F.
Listed Institutions
ETH Zurich, Zurich, Switzerland
ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, SA, Australia
School of Geography, University of Nottingham, Nottingham, United Kingdom
University of Adelaide, Adelaide, Australia
Organization Not Listed, Washington, DC, United States
Univ Franfurt/Main, Frankfurt am Main, Germany
PIK, Potsdam, Germany
University of Adelaide, Adelaide, Australia
ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
Environment Canada Toronto, Toronto, ON, Canada
University of Maryland, College Park, MD, United States

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