Parameter Uncertainty of a Hydrologic Model Calibrated with Remotely Sensed Evapotranspiration and Soil Moisture-Reference-Cited by-同舟云学术

Parameter Uncertainty of a Hydrologic Model Calibrated with Remotely Sensed Evapotranspiration and Soil Moisture

Published:2021-03 Issue:3 Volume:26 Page:04020070
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Kunnath-Poovakka Aiswarya¹^ORCID,Ryu Dongryeol²,Eldho T. I.³^ORCID,George Biju⁴

Affiliation:

1. Postdoctoral Fellow, Dept. of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India. ORCID:

2. Associate Professor, Dept. of Infrastructure Engineering, Univ. of Melbourne, Parkville, VIC 3010, Australia.

3. Institute Chair Professor and Head, Dept. of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India (corresponding author). ORCID: .

4. Honorary Senior Fellow, Dept. of Infrastructure Engineering, Univ. of Melbourne, Parkville, VIC 3010, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002055

Reference47 articles.

1. Analysis of the effect of inputs uncertainty on riverine water temperature predictions with a Markov chain Monte Carlo (MCMC) algorithm

2. Development of regional parameter estimation equations for a macroscale hydrologic model

3. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes

4. Regionalization of Flow-Duration Curves through Catchment Classification with Streamflow Signatures and Physiographic–Climate Indices

5. Improving runoff prediction through the assimilation of the ASCAT soil moisture product

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