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

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Storage:	The size of this resource is 492.3 MB
Created:	Jan 16, 2026 at 4:53 a.m. (UTC)
Last updated:	Jan 26, 2026 at 1:44 a.m. (UTC)
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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"

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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/

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