Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios-Reference-Cited by-同舟云学术

Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios

Published:2022-11-11 Issue:1-2 Volume:151 Page:153-168
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Niazkar Majid^ORCID,Goodarzi Mohammad Reza^ORCID,Fatehifar Atiyeh,Abedi Mohammad Javad

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00704-022-04274-3.pdf

Reference48 articles.

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4. Beecham S, Rashid M, Chowdhury RK (2014) Statistical downscaling of multi-site daily rainfall in a South Australian catchment using a Generalized Linear Model. Int J Climatol 34:3654–3670

5. Chen H, Xu CY, Guo S (2012) Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff. J Hydrol 434:36–45

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