A spatial regularization approach to parameter estimation for a distributed watershed model
By P. Pokhrel, Hoshin V. Gupta, Thorsten Wagener. 2008
109 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Ocean Engineering, Water Science and Technology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
In Ocean Engineering
- Jasper A. Vrugt
- M. Clark
- Ming Ye
- Hoshin V. Gupta
- Wei Gong
- Qingyun Duan
- Thorsten Wagener
- Mojtaba Sadegh
In Water Science and Technology
- Jasper A. Vrugt
- Ming Ye
- M. Clark
- Hoshin V. Gupta
- Wei Gong
- Gab Abramowitz
- Qingyun Duan
- Mojtaba Sadegh
Citations in the corpus
- An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, background): “According to the finding by Pokhrel et al. (2008), some SAC-SMA parameters have strong inter-parameter correlations: e.g., LZSK (parameter 11) covaries with UZK (parameter 3), LZFPM (parameter 10) co-varies with PFREE (parameter 13) and REXP (parameter 7), LZPK (parameter 12) co-varies with LZTWM…”
- Towards a comprehensive assessment of model structural adequacy (2012, methodology): “…et al., 2001], whereas in SW it is usually inferred from some combination of prior estimation using soils and vegetation data [Koren et al., 2000; Samaniego et al., 2010] and spatially regularized inverse estimation from rainfallrunoff data [Pokhrel et al., 2008, 2009; Pokhrel and Gupta, 2010].”