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| Type: | Resource | |
| Storage: | The size of this resource is 105.1 KB | |
| Created: | Mar 23, 2026 at 8:08 p.m. (UTC) | |
| Last updated: | Mar 25, 2026 at 2:17 p.m. (UTC) (Metadata update) | |
| Published date: | Mar 25, 2026 at 2:17 p.m. (UTC) | |
| DOI: | 10.4211/hs.9518e1c16f7b4d72807a5bdb5422ce46 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 39 |
| Downloads: | 7 |
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| Comments: | No comments (yet) |
Abstract
This dataset supports the analysis of precipitation isotope variability in Arlington, north-central Texas (2022–2024). It includes daily and sub-daily δ2H, δ¹⁸O, and d-excess data (N = 459) from precipitation events, along with associated meteorological data and air mass back trajectory data. Seasonal isotope variability is primarily controlled by source-region relative humidity, while daily and sub-daily fluctuations are influenced by cloud-top brightness temperature as a proxy for convective intensity. This repository provides a benchmark for reproducibility, scenario analysis, and further studies on precipitation isotope dynamics and the role of convection in mid-latitude regions under a changing climate.
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| UT System STARs Program | None | AR911486 |
| Office of the Provost, The University of Texas-Arlington | None | 314075 |
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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