Wavelet‐based multiscale performance analysis: An approach to assess and improve hydrological models-Reference-Cited by-同舟云学术

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Wavelet‐based multiscale performance analysis: An approach to assess and improve hydrological models

Published:2014-12 Issue:12 Volume:50 Page:9721-9737
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Rathinasamy Maheswaran¹,Khosa Rakesh¹,Adamowski Jan²,ch Sudheer¹,Partheepan G³,Anand Jatin¹,Narsimlu Boini¹

Affiliation:

1. Department of Civil EngineeringIndian Institute of Technology DelhiNew Delhi Delhi India

2. Department of Bioresource EngineeringMcGill UniversitySte Anne de Bellevue Quebec Canada

3. Department of Civil EngineeringAmity UniversityNoida Uttar Pradesh India

Funder

INSPIRE Faculty (Maheswaran Rathinasamy)

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2013WR014650

Reference42 articles.

1. Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

2. Determining the amplitude and timing of streamflow discontinuities: A cross wavelet analysis approach

3. LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT

4. Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models

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