Combining Rainfall-Runoff Model Outputs for Improving Ensemble Streamflow Prediction

By Young-Oh Kim, D. Jeong, I. Ko. 2006

56 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/3112ceb7640d52cc6898d56a4b060dfd64ec1e2b

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. C. Wu
2. Kwok-Wing Chau
3. Ozgur Kisi
4. Jan Adamowski
5. Hossein Bonakdari
6. Isa Ebtehaj
7. Ravinesh C. Deo
8. Xiaohu Wen

In Global and Planetary Change

1. C. Wu
2. Kwok-Wing Chau
3. Ozgur Kisi
4. Hossein Bonakdari
5. Isa Ebtehaj
6. U. Aksoy
7. B. B. Ekici

In Water Science and Technology

1. C. Wu
2. Kwok-Wing Chau
3. Ozgur Kisi
4. Jan Adamowski
5. U. Aksoy
6. B. B. Ekici

Citations in the corpus

• Assessing the impact of land use change on hydrology by ensemble modelling(LUCHEM) II: ensemble combinations and predictions (2009, unknown): “, [6,11,13]).”
• Prediction of rainfall time series using modular soft computingmethods (2013, methodology): “Kim et al. (2006) investigated five combining methods 32  for improving ensemble streamflow prediction.”