M.Sc. Ankit Agarwal

Kontakt

Universität Potsdam,
Institut für Erd- und Umweltwissenschaften

M.Sc. Ankit Agarwal
Haus 1, Raum 1.23

E-Mail:
aagarwal@uni-potsdam.de
Telefon:
+49 331 977 5433
Fax:
+49 331 977 2092
M.Sc. Ankit Agarwal

 

  • Biografie
  • Forschung
  • Publikationen

Biografie

Oct. 2015- Present
Doctoral researcher at University of Potsdam also associated with Potsdam Institute for climate impact research and GFZ
Sept. 2014- March 2015
Researcher at Technical University-Dresden
July 2013- June 2015
Master of Technology at IIT-Delhi, India
2008-2013
Bachelor Degree in Civil Engineering

Forschung

Publikationen

Journals (peer reviewed)

  1. Agarwal, A. , Maheswaran, R., Kurth, J., & Khosa, R. (2016). Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic regionalization-a Case Study in the Western United States.  Water Resources Management  , 1-15.
  2. Agarwal, A.  , Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B., & Bernhofer, C. (2016). Hydrologic regionalization using wavelet-based multiscale entropy method.  Journal of Hydrology  ,   538  , 22-32.

Press report (In German)

  1. The Falling Flood in Braunsbach, May 2016 - An inventory and event description. The Falling Flood in Braunsbach, May 2016. An inventory and event description.The present invention relates to a process for the preparation of a method for the production of an agarwal, Wendi, A. Taskforce within the DFG Graduate School of Natural Hazards and Risks in a Changing World, University of Potsdam. 20 pages (in German,  PDF-File ).

Conference contributions

  1. Ankit Agarwal, Norbert Marwan, Maheswaran Rathinasamy, Ugur Ozturk, Bruno Merz, Juergen Kurths : A wavelet-based approach . PERSPECTIVES IN NONLINEAR DYNAMICS 2016, Humboldt-University Berlin, Germany; 07/2016
  2. Ugur Ozturk, Ankit Agarwal, Norbert Marwan, Jürgen Kurths, Oliver Korup: Spatiotemporal Pattern of Seasonal Extreme Rainfall over Japan Using Complex Networks . International School and Conference of Network Science, Seoul, South Korea; 05/2016
  3. Ankit Agarwal , Maheswaran Rathinasamy, Juergen Kurths, R. Khosa: Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic Regionalization -a Case Study in the Western United States . Water Resources Management, EGU-2016; 04/2016
  4. Ankit Agarwal, Maheswaran Rathinasamy, Rakesh Khosa: Hydrologic Regionalization Using Wavelet Based Multi-Scale Entropy Method . AGU-2015, San Fransisco, USA; 12/2015

Biografie

Oct. 2015- Present
Doctoral researcher at University of Potsdam also associated with Potsdam Institute for climate impact research and GFZ
Sept. 2014- March 2015
Researcher at Technical University-Dresden
July 2013- June 2015
Master of Technology at IIT-Delhi, India
2008-2013
Bachelor Degree in Civil Engineering

Forschung

Publikationen

Journals (peer reviewed)

  1. Agarwal, A. , Maheswaran, R., Kurth, J., & Khosa, R. (2016). Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic regionalization-a Case Study in the Western United States.  Water Resources Management  , 1-15.
  2. Agarwal, A.  , Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B., & Bernhofer, C. (2016). Hydrologic regionalization using wavelet-based multiscale entropy method.  Journal of Hydrology  ,   538  , 22-32.

Press report (In German)

  1. The Falling Flood in Braunsbach, May 2016 - An inventory and event description. The Falling Flood in Braunsbach, May 2016. An inventory and event description.The present invention relates to a process for the preparation of a method for the production of an agarwal, Wendi, A. Taskforce within the DFG Graduate School of Natural Hazards and Risks in a Changing World, University of Potsdam. 20 pages (in German,  PDF-File ).

Conference contributions

  1. Ankit Agarwal, Norbert Marwan, Maheswaran Rathinasamy, Ugur Ozturk, Bruno Merz, Juergen Kurths : A wavelet-based approach . PERSPECTIVES IN NONLINEAR DYNAMICS 2016, Humboldt-University Berlin, Germany; 07/2016
  2. Ugur Ozturk, Ankit Agarwal, Norbert Marwan, Jürgen Kurths, Oliver Korup: Spatiotemporal Pattern of Seasonal Extreme Rainfall over Japan Using Complex Networks . International School and Conference of Network Science, Seoul, South Korea; 05/2016
  3. Ankit Agarwal , Maheswaran Rathinasamy, Juergen Kurths, R. Khosa: Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic Regionalization -a Case Study in the Western United States . Water Resources Management, EGU-2016; 04/2016
  4. Ankit Agarwal, Maheswaran Rathinasamy, Rakesh Khosa: Hydrologic Regionalization Using Wavelet Based Multi-Scale Entropy Method . AGU-2015, San Fransisco, USA; 12/2015