Modeling multivariable hydrological series: Principal component analysis or independent component analysis?

By Seth Westra, Casey Brown, Upmanu Lall, Ashish Sharma. 2007

79 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Signal Processing

View Paper: https://www.semanticscholar.org/paper/5dd65be57a4a76ec5c513a3b7912c08db056e8d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Amir Aghakouchak
2. David E. Robertson
3. Quan J. Wang

In Global and Planetary Change

1. David E. Robertson
2. Quan J. Wang
3. Amir Aghakouchak
4. Andrew Schepen
5. Gabriele Villarini
6. I. Mallakpour

In Signal Processing

1. David E. Robertson
2. Quan J. Wang

Citations in the corpus

• Entropy–Copula in Hydrology and Climatology (2014, background): “However, climate simulations are also highly uncertain, and the biases and errors associated with climate data have been discussed in numerous publications (Westra et al. 2007; Serinaldi 2009; Mehran et al. 2014; Liu et al. 2014).”
• Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences (2011, methodology): “Regonda et al. [2006], Westra et al. [2007] , and Bracken et al. [2010] provide some of the methods for joint forecasting of stream- ows at multiple sites.”