2022
DOI: 10.1029/2022gl098780
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Modeling Snow Dynamics and Stable Water Isotopes Across Mountain Landscapes

Abstract: Stable isotopes of water have long been used as tracers in hydrologic research to identify the partitioning of rain and snow to vegetation water use (

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Cited by 13 publications
(4 citation statements)
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“…These uncertainties are about an order of magnitude larger than analytical uncertainty and represent the cumulative effects of within tree heterogeneity, sampling, storage/transport and cryogenic extraction. We estimate similar levels of uncertainty for the values of the precipitation and snowmelt end members based on ranges that emerged from the simulations and measurements of snowmelt and precipitation observed in previous studies (Carroll et al, 2022b;Anderson et al, 2016).…”
Section: Isotopic Mixing Modelmentioning
confidence: 57%
“…These uncertainties are about an order of magnitude larger than analytical uncertainty and represent the cumulative effects of within tree heterogeneity, sampling, storage/transport and cryogenic extraction. We estimate similar levels of uncertainty for the values of the precipitation and snowmelt end members based on ranges that emerged from the simulations and measurements of snowmelt and precipitation observed in previous studies (Carroll et al, 2022b;Anderson et al, 2016).…”
Section: Isotopic Mixing Modelmentioning
confidence: 57%
“…Depending on the aim of the study, it may be seen as beneficial that changes in connectivity do not affect the aggregated hydrograph, however, the correct representation of connectivity may be significant when modelling morphodynamics, ecological processes, or (bio) geochemistry 9,11,[65][66][67] . A promising development in linking distributed and aggregated hydrological responses is the use of stable water isotope-based modeling approaches [68][69][70] , which allow constructing a more precise relationship between spatiotemporal distributions and the hydrograph that can be directly supported by field measurements 71,72 .…”
Section: Discussionmentioning
confidence: 99%
“…The model provides daily, spatially continuous climate data for the contiguous United States. Area-normalized precipitation data were from the US Geological Survey (USGS) Precipitation Runoff System (PRMS; (Markstrom et al, 2015)) based on PRISM data for rain and Airborne Snow Observatory (ASO) data for snow distribution and snow water equivalent (SWE) (Carroll et al, 2020(Carroll et al, , 2022Fang et al, 2019). Snow water equivalent (SWE) data were from the US Department of Agriculture (USDA) Snow Telemetry (SNOTEL) database (https://www.nrcs.usda.gov/wps/portal/wcc/home/) at Crested Butte (#380), about 5 km east of Coal Creek.…”
Section: Climate Datamentioning
confidence: 99%