Linear Prediction of Indian Monsoon Rainfall

By T. Delsole, J. Shukla. 2002

98 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b774d6aea8c5c755508d330b7124237efecabbd7

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. C. Fan
4. Ozgur Kisi
5. Hossein Bonakdari
6. Isa Ebtehaj
7. Jan Adamowski
8. Xiaohu Wen

In Global and Planetary Change

1. C. Wu
2. Kwok-Wing Chau
3. C. Fan
4. Hossein Bonakdari
5. Isa Ebtehaj
6. Ozgur Kisi
7. Xiaohu Wen
8. Qi Feng

Citations in the corpus

• Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques (2010, background): “, 44 2008), statistical models (Chu and He, 1995; Chan and Shi, 1999; DelSole and Shukla, 2002; 45 Munot, 2007; Li and Zeng, 2008; Nayagam et al., 2008), chaos theory-based approach 46 (Jayawardena and Lai, 1994), K-nearest-neighbor (K-NN) method (Toth et al, 2000), and soft 47 computing methods inc”
• Prediction of rainfall time series using modular soft computingmethods (2013, methodology): “…Diomede et al. 2008; Ganguly and Bras, 2003; 46  Sheng, et al., 2006; Yates et al., 2000), statistical models (Chan and Shi, 1999;Chu and He, 47  2  1995;DelSole and Shukla,2002;Li and Zeng, 2008;Munot, 2007; Nayagam et al., 2008 ), 1  chaos-based approach (Jayawardena et al., 1994),…”