Reference:Reference-022402: Difference between revisions
From CSDMS
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|Title=The China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and it's Application in the Heihe River Basin in China | |Title=The China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and it's Application in the Heihe River Basin in China | ||
|Year=2016-12-18 | |Year=2016-12-18 | ||
|Journal= | |Journal= | ||
|Booktitle= | |Booktitle= | ||
|Volume= | |Volume= | ||
|Pages= | |Pages= | ||
|URL=http://www.preprints.org/manuscript/201612.0091/v1 | |URL=http://www.preprints.org/manuscript/201612.0091/v1 | ||
|DOI=10.20944/preprints201612.0091.v1 | |DOI=10.20944/preprints201612.0091.v1 | ||
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|Semantic_ID=0a779c2a792a0ac480e65ae798739957bea15944 | |Semantic_ID=0a779c2a792a0ac480e65ae798739957bea15944 |CorpusID=28164818 | ||
|CorpusID=28164818 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
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Latest revision as of 11:45, 12 November 2024
Author(s) | Wang, Hao; Meng, Xian-yong; Cai, Si-yu; Zhang, Xue-song; Lei, Xiao-hui; Leng, Guo-yong; Shi, Chun-xiang; Liu, Shi-yin; |
BibType | preprint |
Title | The China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and it's Application in the Heihe River Basin in China |
Editors | |
Year | 2016-12-18 |
Journal | |
Booktitle | |
Volume | |
Pages | |
URL | http://www.preprints.org/manuscript/201612.0091/v1 |
DOI | 10.20944/preprints201612.0091.v1 |
ISBN | |
Note | Auto downloaded ref at: 2024-08-29
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Feature reference | No |
PublicationClusterID | 0 |
MS_PublicationClusterID | 0 |
Semantic_ID | 0a779c2a792a0ac480e65ae798739957bea15944 |
Nr of citations | 4 |
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: |
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Model(s) discussed: | SWAT
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