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.

ChatGPT examples in the hydrological sciences

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 1.3 MB
Created:	Sep 16, 2023 at 10:04 p.m.
Last updated:	Oct 09, 2023 at 2:56 p.m. (Metadata update)
Published date:	Oct 09, 2023 at 2:56 p.m.
DOI:	10.4211/hs.fc0552275ea14c7082218c42ebd63da6
Citation:	See how to cite this resource

Sharing Status:	Published
Views:	637
Downloads:	64
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

ChatGPT has forever changed the way that many industries operate. Much of the focus of Artificial Intelligence (AI) has been on their ability to generate text. However, it is likely that their ability to generate computer codes and scripts will also have a major impact. We demonstrate the use of ChatGPT to generate Python scripts to perform hydrological analyses and highlight the opportunities, limitations and risks that AI poses in the hydrological sciences.

Here, we provide four worked examples of the use of ChatGPT to generate scripts to conduct hydrological analyses. We also provide a full list of the libraries available to the ChatGPT Advanced Data Analysis plugin (only available in the paid version). These files relate to a manuscript that is to be submitted to Hydrological Processes. The authors of the manuscript are Dylan J. Irvine, Landon J.S. Halloran and Philip Brunner.

If you find these examples useful and/or use them, we would appreciate if you could cite the associated publication in Hydrological Processes. Details to be made available upon final publication.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

WGS 84 EPSG:4326

North Latitude

90.0000°

East Longitude

-180.0000°

South Latitude

-90.0000°

West Longitude

180.0000°

Content

Learn more about the BagIt download

Select a file to see file type metadata.

Readme.txt

Readme:

This folder contains 5 subfolders:

1. AvailableLibraries
2. BaseflowExampleFiles
3. CorrelationMatrix
4. HydrographAnalysis
5. NOAAExampleFiles

Each subfolder contains
- The prompts used to generate the script
- A Python script
- The output of the script
- The data files are listed in the manuscript
  submitted to Hydrological Processes. In 
  the interim, further information can be 
  obtained by emailing Dylan Irvine at
  dylan.irvine@cdu.edu.au

Credits

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name	Organization	Address	Phone	Author Identifiers
Landon Halloran	Centre for Hydrogeology and Geothermics, University of Neuchâtel

How to Cite

Irvine, D. (2023). ChatGPT examples in the hydrological sciences, HydroShare, https://doi.org/10.4211/hs.fc0552275ea14c7082218c42ebd63da6

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

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

Comments

There are currently no comments