Blar i NTNU Open på forfatter "Sivasubramaniam, Kuganesan"
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Can model-based data products replace gauge data as input to the hydrological model?
Sivasubramaniam, Kuganesan; Alfredsen, Knut; Rinde, Trond; Sæther, Bjørn (Journal article; Peer reviewed, 2020)Hydrological models require accurate and representative meteorological inputs for better prediction of discharge and hence, the efficient management of water resources. Numerical weather prediction model-based reanalysis ... -
Estimating radar precipitation in cold climates: the role of air temperature within a non-parametric framework
Sivasubramaniam, Kuganesan; Sharma, Ashish; Alfredsen, Knut (Journal article; Peer reviewed, 2018)Remote sensing applied to river monitoring adds complementary information useful for understanding the system behaviour. In this paper, we present a method for visual stage gauging and water surface width measurement using ... -
Estimating Radar Precipitation in Cold Climates: The role of Air Temperature within a Nonparametric Framework
Sivasubramaniam, Kuganesan; Alfredsen, Knut; Sharma, Ashish (Journal article; Peer reviewed, 2018)The use of ground-based precipitation measurements in radar precipitation estimation is well known in radar hydrology. However, the approach of using gauged precipitation and near-surface air temperature observations to ... -
Evaluation and improvement of quantitative precipitation estimates for use in hydrological applications
Sivasubramaniam, Kuganesan (Doctoral theses at NTNU;2019:273, Doctoral thesis, 2019)Accurate precipitation estimation at the catchment scale is required for various hydrological applications. Spatial interpolation using gauges as a single source often proves insufficient to obtain a distributed ... -
Merging radar and gauge information within a dynamical model combination framework for precipitation estimation in cold climates
Sivasubramaniam, Kuganesan; Sharma, Ashish; Alfredsen, Knut (Journal article; Peer reviewed, 2019)This study presents a dynamic forecast combination approach adapted to incorporate multiple sources of precipitation. Dynamic combination serves to utilise the varying merit each data source exhibits with time. The dynamic ... -
Should radar precipitation depend on incident air temperature? A new estimation algorithm for cold climates.
Sivasubramaniam, Kuganesan; Sharma, Ashish; Alfredsen, Knut (Journal article; Peer reviewed, 2017)Abstract. In cold climates, the form of precipitation (snow or rain or mixture of snow and rain) results in uncertainty in radar precipitation estimation. Estimation often proceeds without distinguishing the state of ...