Reference:Reference-013890: Difference between revisions

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|MS_PublicationClusterID=2976602695
|MS_PublicationClusterID=2976602695
|Semantic_ID=e89e09a53317fa100f0b848eb65437ce07dff182
|Semantic_ID=e89e09a53317fa100f0b848eb65437ce07dff182
|CorpusID=0
|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
|PublicationNrofModels=a single module
|PublicationNrofModels=a single module

Latest revision as of 16:18, 9 October 2024



Author(s) Rohmat, Faizal I.W.; Labadie, John W.; Gates, Timothy K.;
BibType journalArticle
Title Deep learning for compute-efficient modeling of BMP impacts on stream- aquifer exchange and water law compliance in an irrigated river basin
Editors
Year 2019-12-01
Journal Environmental Modelling & Software
Booktitle
Volume 122
Pages 104529
URL https://linkinghub.elsevier.com/retrieve/pii/S1364815218312982
DOI 10.1016/j.envsoft.2019.104529
ISBN
Note Auto downloaded ref at: 2021-01-22


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 2976602695
Semantic_ID e89e09a53317fa100f0b848eb65437ce07dff182
Nr of citations 14
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: MODFLOW