Modified K-NN Model for Stochastic Streamflow Simulation

By J. Prairie, Balaji Rajagopalan, T. Fulp, E. Zagona. 2006

130 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Statistics and Probability, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/b57319017b7183506ced0637d07fe28a296e1db3

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

1. Balaji Rajagopalan
2. R. Katz
3. Guillermo P. Podestá
4. Somkiat Apipattanavis
5. Eric Gilleland
6. N. V. Umamahesh
7. V. Agilan
8. Amir Aghakouchak

In Statistics and Probability

1. Balaji Rajagopalan
2. R. Katz

In Water Science and Technology

1. Balaji Rajagopalan
2. R. Katz
3. Hans Van De Vyver

Citations in the corpus

• Entropy‐copula method for single‐site monthly streamflow simulation (2012, unknown): “The bimodality in the PDF of the May streamflow, which has been found in the previous study [Prairie et al., 2006], was not resolved with the PDF in equation (3).”
• A semiparametric multivariate and multisite weather generator (2007, methodology): “Ability in generating values not seen in history is an attractive alternative for improving the k-NN part of our model as well [Prairie et al., 2006].”