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.

Code and processed data for "Partitioning Export and Import Inter-basin Groundwater Flows by Coupling Deep Learning with a Water-Age Balance Approach"

Authors:
Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) to determine if accessing this resource is possible.
Type:	Resource
Storage:	The size of this resource is 492.3 MB
Created:	Jan 16, 2026 at 4:53 a.m. (UTC)
Last updated:	Oct 14, 2026 at 5:05 a.m. (UTC)
Citation:	See how to cite this resource

Sharing Status:	Private (Accessible via direct link sharing)
Views:	913
Downloads:	27
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

The code developed to support the research of "Partitioning Export and Import Inter-basin Groundwater Flows Using a Novel Coupled Framework Integrating LSTM and ranked Storage Age Selection Approach"

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Coverage

Temporal

Start Date:
End Date:

Content

Learn more about the BagIt download

Select a file to see file type metadata.

README.txt

#Project Title: Partitioning Export and Import Inter-basin Groundwater Flows Using a Novel Coupled Framework Integrating LSTM and ranked Storage Age Selection Approach

**Description**  
This HydroShare resource contains datasets and scripts used for the coupled models of partitioning export and import inter-basin groundwater flows

##Resource Contents
| `coupled GPR–rainfall–runoff model.zip`   | Code for identifying the GPR and rainfall–runoff models based on MCMC         
| `coupled LSTM–rSAS model.zip`   | Code for identifying the LSTM and rSAS functions based on LM-CMA-ES

##Requirements
- Python 
- Matlab
- Fortran

How to Cite

Ren, L. (2026). Code and processed data for "Partitioning Export and Import Inter-basin Groundwater Flows by Coupling Deep Learning with a Water-Age Balance Approach", HydroShare, http://www.hydroshare.org/resource/6a3768a741ee4e6da6620320afdf1eac

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

Comments

There are currently no comments

Notifications (${tasks.length})