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The Science of the Total Environment
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March 19, 2021
Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change
Jina Yin, Josué Medellín-Azuara, Alvar Escriva-Bou, et al.
Scientific Data
|
June 14, 2024
CaRDS - the statewide California Residential water Demand and Supply open dataset
Marie-Philine Gross, Alvar Escriva-Bou, Erik Porse, et al.
Journal of Environmental Management
|
March 6, 2014
Optimizing the dammed: water supply losses and fish habitat gains from dam removal in California
Sarah E Null, Josué Medellín-Azuara, Alvar Escriva-Bou, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 29, 2024
Cultivating climate resilience in California agriculture: Adaptations to an increasingly volatile water future
Josué Medellín-Azuara, Alvar Escriva-Bou, Amélie C M Gaudin, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
The Science of the Total Environment
|
March 19, 2021
Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change
Jina Yin, Josué Medellín-Azuara, Alvar Escriva-Bou, et al.
Scientific Data
|
June 14, 2024
CaRDS - the statewide California Residential water Demand and Supply open dataset
Marie-Philine Gross, Alvar Escriva-Bou, Erik Porse, et al.
Journal of Environmental Management
|
March 6, 2014
Optimizing the dammed: water supply losses and fish habitat gains from dam removal in California
Sarah E Null, Josué Medellín-Azuara, Alvar Escriva-Bou, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 29, 2024
Cultivating climate resilience in California agriculture: Adaptations to an increasingly volatile water future
Josué Medellín-Azuara, Alvar Escriva-Bou, Amélie C M Gaudin, et al.
Page
of 1