How to assess climate change impact models: Uncertainty analysis of streamflow statistics via approximate Bayesian computation (ABC)

J Romero-Cuellar, F Francés - Hydrological Sciences Journal, 2023 - Taylor & Francis
Climate change impact models (CCIMs) suffer from inherent bias, uncertainty, and
asynchronous observations in the baseline period. To overcome these challenges, this …
被引用次数：2 相关文章

[引用][C] How to assess climate change impact models: uncertainty analysis of streamflow statistics via approximate Bayesian computation (ABC)

J Romero-Cuellar, F Francés - Hydrological Sciences …, 2023 - ui.adsabs.harvard.edu
How to assess climate change impact models: uncertainty analysis of streamflow statistics via
approximate Bayesian computation (ABC) - NASA/ADS Now on home page ads icon ads …
[PDF] researchgate.net

[PDF][PDF] How to Assess Climate Change Impact Models: Uncertainty Analysis of Streamflow Statistics Via Approximate Bayesian Computation (ABC)

J Romero-Cuellara, F Francésa - researchgate.net
Climate change impact models (CCIMs) suffer from inherent bias, uncertainty, and
asynchronous observations in the baseline period. To overcome these challenges, this …