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Isotopic Variability in Daily Precipitation: Isotope, gridMET, HYSPLIT, and Weather Data for Western OR, USA
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Created: | Jul 02, 2024 at 11:28 p.m. | |
Last updated: | Jul 19, 2024 at 10:36 p.m. | |
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Content types: | Single File Content |
Sharing Status: | Public |
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Abstract
Daily precipitation samples collected by CoCoRaHS volunteers were analyzed as part of a research project to create a new method for isotopic variability analysis: A Method for Exploring Isotopic Variability in Precipitation with HYSPLIT Data (submitted). Stable isotopes of hydrogen and oxygen in precipitation provide insights into the water cycle, yet characterizing the meteorological processes driving isotopic variability remains challenging. We introduce a method to rasterize air mass trajectory data from HYSPLIT for isotopic analysis and assess trajectory initiation height impact on HYSPLIT representation of local precipitation and temperature. We found that a fixed HYSPLIT initiation height of 1,000 m was sufficient. Using Random Forest and Multiple Linear Regression, we analyzed daily precipitation at two sites in western Oregon (n=204, n=138) over ~2 years. Data analysis highlighted a significant amount effect and evidence for sub-cloud evaporation. However, cloud top temperature, reflectivity, and convective/stratiform fractions will likely be needed to explain the remaining variance. While we found weak relationships between HYSPLIT indices and isotopic compositions at our sites, we assessed that error within HYSPLIT temperature indices was small relative to daily isotopic variability and potentially useful elsewhere.
See https://github.com/philipmoffatt/Rasterizing-gridMET-HYSPLT for details on reproducing the data.
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This resource is referenced by | A Method for Exploring Isotopic Variability in Precipitation with HYSPLIT Data (submitted to AGU Geophysical Research Letters) |
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Name | Organization | Address | Phone | Author Identifiers |
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Brad Miller | CoCoRaHS | |||
Paul Tipton | CoCoRaHS |
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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