Optimized Artificial Neural Networks-Based Methods for Statistical Downscaling of Gridded Precipitation Data
- Author(s)
- Amir Hossein Salimi, Jafar Masoompour Samakosh, Ehsan Sharifi, Mohammad Reza Hassanvand, Amir Noori, Hary von Rautenkranz
- Organisation(s)
- Department of Meteorology and Geophysics
- External organisation(s)
- Universität Wien, Razi University, Semnan University, Universität für Bodenkultur Wien
- Journal
- Water
- Volume
- 11
- No. of pages
- 20
- DOI
- https://doi.org/10.3390/w11081653
- Publication date
- 08-2019
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 102001 Artificial intelligence, 105206 Meteorology, 105308 Water resources
- Keywords
- ASJC Scopus subject areas
- Water Science and Technology, Geography, Planning and Development, Aquatic Science, Biochemistry
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/optimized-artificial-neural-networksbased-methods-for-statistical-downscaling-of-gridded-precipitation-data(8f2d2688-35ba-4552-b0d4-408bf8953bff).html