Record link: 
http://hdl.handle.net/20.500.12708/61919
-
Title: 
Non-Gaussian Information-Theoretical Analytics for Diagnostic and Inference of Hydroclimatic Extremes
en
Citation: 
Pires, C., & Perdigão, R. A. (2016). Non-Gaussian Information-Theoretical Analytics for Diagnostic and Inference of Hydroclimatic Extremes. In EGU General Assembly 2016. EGU General Assembly 2016, Vienna, Austria. Copernicus Publications. http://hdl.handle.net/20.500.12708/61919
-
Publication Type: 
Inproceedings - Abstract Book Contribution
en
Language: 
English
-
Authors: 
Pires, Carlos 
Perdigão, Rui Alexandre 
-
Organisational Unit: 
E222-02 - Forschungsbereich Ingenieurhydrologie 
-
Published in: 
EGU General Assembly 2016 
-
Volume: 
18
-
Date (published): 
2016
-
Event name: 
EGU General Assembly 2016 
-
Event date: 
17-Apr-2016 - 22-Apr-2016
-
Event place: 
Vienna, Austria
-
Number of Pages: 
1
-
Publisher: 
Copernicus Publications
-
Peer reviewed: 
No
-
Project title: 
Deciphering River Flood Change: 291152 (Europäischer Forschungsrat (ERC)) 
-
Science Branch: 
Hydrologie
Bauingenieurwesen
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

118
checked on Dec 1, 2023

Google ScholarTM

Check