Analyzing Uncertainty Drivers of Climate Change Impact Studies in Tropical and Arid Climates
Author:
Funder
University of Zabol
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-020-02553-0.pdf
Reference36 articles.
1. Abbaspour KC, Faramarzi M, Ghasemi SS, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res 45. https://doi.org/10.1029/2008WR007615
2. Abbaspour KC, AshrafVaghefi S, Yang H, Srinivasan R (2019) Global soil , landuse , evapotranspiration , historical and future weather databases for SWAT Applications. Sci Data 6:1–11. https://doi.org/10.1038/s41597-019-0282-4
3. Brigode P, Oudin L, Perrin C (2013) Hydrological model parameter instability: a source of additional uncertainty in estimating the hydrological impacts of climate change? J Hydrol 476:410–425. https://doi.org/10.1016/j.jhydrol.2012.11.012
4. Chen J, Brissette FP, Chaumont D, Braun M (2013) Performance and uncertainty evaluation of empirical downscaling methods in quantifying the climate change impacts on hydrology over two north American river basins. J Hydrol 479:200–214
5. Das J, Treesa A, Umamahesh NV (2018) Modelling impacts of climate change on a River Basin: analysis of uncertainty using REA & Possibilistic approach. Water Resour Manag 32:4833–4852. https://doi.org/10.1007/s11269-018-2046-x
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