Checking for missing content type metadata ...
This resource contains content types with missing metadata required to make it public or discoverable. Show missing content type metadata.
Click on the edit button ( ) below to edit this resource.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 18.8 KB | |
| Created: | Dec 16, 2021 at 9:56 a.m. (UTC) | |
| Last updated: | Dec 16, 2021 at 10:48 a.m. (UTC) (Metadata update) | |
| Published date: | Dec 16, 2021 at 10:48 a.m. (UTC) | |
| DOI: | 10.4211/hs.da70a09dc6074242ada756c29d12dcb3 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 2823 |
| Downloads: | 88 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
NetworkModel_generalFIN_c contains an R function defining a time variable network model that uses a gridded ordered stream network, time series of discharge and seven input parameters to generate C-Q relationships (among others).
MaxCurv_c contains an R function for the computation of the amount of bending of a C-Q relationship (CurvMax metric).
The R codes are provided as TXT and as R-file.
The codes are written by Joni Dehaspe
This code is used and further described in this paper:
Dehaspe, J., Sarrazin, F., Kumar, R., Fleckenstein, J.H. and Musolff, A. (2021). Bending of the concentration discharge relationship can inform about in-stream nitrate removal. Hydrol. Earth Syst. Sci., 1-27, 25, doi: 10.5194/hess-25-1-2021
Subject Keywords
Content
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment