Juan Camacho
University of Texas at Arlington
| Subject Areas: | Precipitation,Hydroclimatology,Isotopic tracers |
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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.
ABSTRACT:
This dataset contains data collected at the University of Texas at Arlington on stable water isotope measurements of oxygen (δ18O) and hydrogen (δ2H) in north-central Texas for the hydrological year 2023. These measurements were taken using the commercial collector Palmex (Gröning et al., 2012) (https://doi.org/10.1016/j.jhydrol.2012.04.041) and the OPEnS collector (Arellano et al., 2024) (https://doi.org/10.1016/j.chemgeo.2024.122351). Additionally, long-term isotopic data is available from 2022 to 2024.
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Created: March 12, 2025, 6:29 p.m.
Authors: Camacho, Juan · Sánchez-Murillo, Ricardo
ABSTRACT:
This dataset contains data collected at the University of Texas at Arlington on stable water isotope measurements of oxygen (δ18O) and hydrogen (δ2H) in north-central Texas for the hydrological year 2023. These measurements were taken using the commercial collector Palmex (Gröning et al., 2012) (https://doi.org/10.1016/j.jhydrol.2012.04.041) and the OPEnS collector (Arellano et al., 2024) (https://doi.org/10.1016/j.chemgeo.2024.122351). Additionally, long-term isotopic data is available from 2022 to 2024.
Created: March 23, 2026, 8:08 p.m.
Authors: Camacho-Puerto, Juan · Sánchez-Murillo, Ricardo
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.