Reference:Reference-021332

From CSDMS
Revision as of 11:42, 29 August 2024 by WikiSysop (talk | contribs) (Created page with "{{CSDMS reference template cargo |DOIentry=10.1002/joc.7026 }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=6913e6bde84fc4abd7abbcc95eead7cea6c2434e |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=HBV }} {{RefsInt3}}")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)



Name Su, Yuanyuan
Name Li, Yongping
Name Liu, Yuanrui
Name Huang, Guohe
Name Jia, Qimeng
Name Li, Yanfeng
Kind of article journalArticle
Title An integrated multi‐GCMs Bayesian‐neural‐network hydrological analysis method for quantifying climate change impact on runoff of the Amu Darya River basin
Publication title International Journal of Climatology
Book title
Journal Abbreviation
Volume 41
Issue 5
URL https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.7026
DOI 10.1002/joc.7026
Page numbers 3411–3424
Publication date 2021-04
Access date 2025-06-22


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 6913e6bde84fc4abd7abbcc95eead7cea6c2434e
Nr of citations 16
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: HBV