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| Type: | Resource | |
| Storage: | The size of this resource is 79.5 MB | |
| Created: | Apr 17, 2023 at 6:17 p.m. (UTC) | |
| Last updated: | May 11, 2023 at 4:15 p.m. (UTC) (Metadata update) | |
| Published date: | May 11, 2023 at 4:15 p.m. (UTC) | |
| DOI: | 10.4211/hs.a91f25d51038463294711ffe23119ef2 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 2301 |
| Downloads: | 53 |
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| Comments: | No comments (yet) |
Abstract
PyLoTemp is a 1D Vertical Fluid Flux solver that leverages a Most Likely Estimation Technique in combination with Temperature Time series using Temperature as a Groundwater Tracer. PyLoTemp was made with user ease of access in mind, and it is an open source program that was developed in Python; and it can be used on most windows based devices. This manual will instruct users how to use PyLoTemp and covers the "Simple" version of the program, which is separate from the advanced version.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Self | None | None |
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 |
|---|---|---|---|---|
| Christopher Lowry | University at Buffalo | 126 Cooke Hall, University at Buffalo North Campus | 716-645-4266 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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