Reference:Reference-020958: Difference between revisions
From CSDMS
Tag: Undo |
m Text replacement - "None" to "" |
||
| Line 5: | Line 5: | ||
|Year=2022-11-01 | |Year=2022-11-01 | ||
|Journal=Environmental Research Letters | |Journal=Environmental Research Letters | ||
|Booktitle= | |Booktitle= | ||
|Volume=17 | |Volume=17 | ||
|Pages=114010 | |Pages=114010 | ||
| Line 25: | Line 25: | ||
}} | }} | ||
{{RefsInt3 | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |PublicationAnimationsCargo= | ||
}} | }} | ||
Latest revision as of 11:41, 12 November 2024
| Author(s) | Nowatzke, Matthew; Damiano, Luis; Miguez, Fernando E; McNunn, Gabe S; Niemi, Jarad; Schulte, Lisa A; Heaton, Emily A; VanLoocke, Andy; |
| BibType | journalArticle |
| Title | Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching |
| Editors | |
| Year | 2022-11-01 |
| Journal | Environmental Research Letters |
| Booktitle | |
| Volume | 17 |
| Pages | 114010 |
| URL | https://iopscience.iop.org/article/10.1088/1748-9326/ac998b |
| DOI | 10.1088/1748-9326/ac998b |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-18
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 1714123de63dc0c4f7736eb3598b042d1f613cb2 |
| Nr of citations | 2 |
| 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: | ApsimX
|
