A Comparison Between Conventional and M5 Model Tree Methods for Converting Pan Evaporation to Reference Evapotranspiration for Semi-Arid Region

By A. Rahimikhoob, M. Asadi, M. Mashal. Water resources management, 2013

91 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Soil Science, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/843c4789c4d891a1132aea8fb6ebe558ff9532d1

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. Xiaohu Wen
2. Qi Feng
3. Jianhua Si
4. Zhi-bin He
5. Lin-shan Yang
6. Zhenliang Yin
7. Ravinesh C. Deo
8. Ozgur Kisi

In Water Science and Technology

1. Xiaohu Wen
2. Zhi-bin He
3. Jianhua Si
4. Ravinesh C. Deo
5. Qi Feng
6. Lin-shan Yang
7. Zhenliang Yin

Citations in the corpus

• Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment (2018, methodology): “…model tree (M5Tree) are also two main data-driven models, which have been used in many fields, such as pan evaporation estimation (Kisi 2015, 2016, Rahimikhoob et al. 2013), drought forecasting (Choubin et al. 2016; Deo et al. 2017a), Big Data (Zhang et al. 2016b), river flow forecasting (Adnan…”