Selection of CMIP6 GCM with projection of climate over the Amu Darya River Basin
Author:
Funder
Universiti Teknologi Malaysia
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-022-04332-w.pdf
Reference66 articles.
1. Agal’tseva NA, Spectorman T, White CJ, Tanton TW (2010) Modelling the future climate of the Amu Darya Basin. Interstate Water Resource Risk Management: Towards a sustainable future for the Aral Basin, IWA Publishing, pp 9–32
2. Ahmed K et al (2020) Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms. Atmos Res 236:104806
3. Ahmed K, Sachindra DA, Shahid S, Demirel MC, Chung E-S (2019a) Selection of multi-model ensemble of GCMs for the simulation of precipitation based on spatial assessment metrics. Hydrol Earth Syst Sci Discuss.
4. Ahmed K, Shahid S, Sachindra D, Nawaz N, Chung E-S (2019) Fidelity assessment of general circulation model simulated precipitation and temperature over Pakistan using a feature selection method. J Hydrol 573:281–298
5. Ahmed K, Shahid S, Wang X, Nawaz N, Khan N (2019) Spatiotemporal changes in aridity of Pakistan during 1901–2016. Hydrol Earth Syst Sci 23:3081–3096
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