Cargando…
Sensitivity of non-conditional climatic variables to climate-change deep uncertainty using Markov Chain Monte Carlo simulation
There is substantial evidence suggesting climate change is having an adverse impact on the world’s water resources. One must remember, however, that climate change is beset by uncertainty. It is therefore meaningful for climate change impact assessments to be conducted with stochastic-based framewor...
Autores principales: | Zolghadr-Asli, Babak, Bozorg-Haddad, Omid, Enayati, Maedeh, Loáiciga, Hugo A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810780/ https://www.ncbi.nlm.nih.gov/pubmed/35110579 http://dx.doi.org/10.1038/s41598-022-05643-8 |
Ejemplares similares
-
A robust multiple-objective decision-making paradigm based on the water–energy–food security nexus under changing climate uncertainties
por: Enayati, Maedeh, et al.
Publicado: (2021) -
System dynamics modeling of lake water management under climate change
por: Bozorg-Haddad, Omid, et al.
Publicado: (2022) -
Markov chain Monte Carlo in practice
por: Gilks, W R, et al.
Publicado: (1995) -
Markov chain Monte Carlo in practice /
Publicado: (1996) -
Handbook of Markov chain Monte Carlo
por: Brooks, Steve
Publicado: (2011)