Indian Forum for Water Adroit

Partitioning Uncertainty in Streamflow Projections under Nonstationary Model Conditions

Karthikeyan L

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  • Institute : Indian Institute of Science, Bangalore
  • Programming language : Matlab, R
The work carried out by Ila Chawla along with Prof. P.P. Mujumdar titled "Partitioning Uncertainty in Streamflow Projections under Nonstationary Model Conditions" was recently published in the Advances in Water Resources Journal.

In this work, the authors, in a novel attempt, have addressed the possibility of nonstationary hydrological model (here they have used the VIC land surface model coupled with a routing model). They found that the hydrological model parameters, which are influenced by climate variables, vary over time, and thus may not be assumed to be stationary. Further, the work also involves attribution the total uncertainty in the streamflow projections to multiple effects such as, model parameters, GCM simulations, emission scenarios, land use scenarios, the assumption of hydrological model stationarity, along with internal variability of the model. The Upper Ganga Basin (UGB) is considered as a case study for this analysis.

Further details on the work can be found here: http://www.sciencedirect.com/science/article/pii/S0309170817300179

Authors are glad to share their article with interested readers.

Correspondence to: pradeep@iisc.ac.in
« Last Edit: October 23, 2017, 07:59:04 PM by Karthikeyan L »
 
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