Skip Nav Destination
Comparison of statistical methods for downscaling daily precipitation
Journal of Hydroinformatics (2012) 14 (4): 1006–1023.
This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.
- Abdüsselam Altunkaynak
- Kübra Küllahcı
Neural Computing and Applications (2022) 34 (24): 22177.
Prediction of river water temperature using machine learning algorithms: a tropical river system of India
- M. Rajesh
- S. Rehana
Journal of Hydroinformatics (2021) 23 (3): 605.
- N N A Tukimat
- S N Rahmat
- B Winarta
IOP Conference Series: Earth and Environmental Science (2021) 682 (1): 012044.
A proposed hybrid rainfall simulation model: bootstrap aggregated classification tree–artificial neural network (BACT-ANN) for the Langat River Basin, Malaysia
- Chau Yuan Lian
- Yuk Feng Huang
- Jing Lin Ng
- Majid Mirzaei
- Chai Hoon Koo
- Kok Weng Tan
Journal of Water and Climate Change (2020) 11 (4): 1218.
Identify optimal predictors of statistical downscaling of summer daily precipitation in China from three-dimensional large-scale variables
- Yonghe Liu
- Jinming Feng
- Yuehong Shao
- JianLin Li
Atmospheric Research (2019) 224: 99.
- N. R. Chithra
- Santosh G. Thampi
ISH Journal of Hydraulic Engineering (2017) 23 (2): 144.
- Zohreh Maryanaji
- Hajar Merrikhpour
- Hamed Abbasi
Journal of Water and Climate Change (2017) 8 (2): 203.
Improving accuracy of downscaling rainfall by combining predictions of different statistical downscale models
- Yassin Z. Osman
- Mawada E. Abdellatif
Water Science (2016) 30 (2): 61.
- M. Abdellatif
- W. Atherton
- R. Alkhaddar
- Y. Osman
Natural Hazards (2015) 79 (2): 1059.
Monthly Air Temperatures over Northern China Estimated by Integrating MODIS Data with GIS Techniques
- Xiao Zheng
- Jiaojun Zhu
- Qiaoling Yan
Journal of Applied Meteorology and Climatology (2013) 52 (9): 1987.