High Resolution SnowModel Simulations Reveal Future Elevation-Dependent Snow Loss and Earlier, Flashier Surface Water Input for the Upper Colorado River Basin. Hammond, J. C., Sexstone, G. A., Putman, A. L., Barnhart, T. B., Rey, D. M., Driscoll, J. M., Liston, G. E., Rasmussen, K. L., McGrath, D., Fassnacht, S. R., & Kampf, S. K. Earth's Future, 11(2):e2022EF003092, 2023. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022EF003092![High Resolution SnowModel Simulations Reveal Future Elevation-Dependent Snow Loss and Earlier, Flashier Surface Water Input for the Upper Colorado River Basin [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Continued climate warming is reducing seasonal snowpacks in the western United States, where \textgreater50% of historical water supplies were snowmelt-derived. In the Upper Colorado River Basin, declining snow water equivalent (SWE) and altered surface water input (SWI, rainfall and snowmelt available to enter the soil) timing and magnitude affect streamflow generation and water availability. To adapt effectively to future conditions, we need to understand current spatiotemporal distributions of SWE and SWI and how they may change in future decades. We developed 100-m SnowModel simulations for water years 2001–2013 and two scenarios: control (CTL) and pseudo-global-warming (PGW). The PGW fraction of precipitation falling as snow was lower relative to CTL, except for November–April at high elevations. PGW peak SWE was lower for low (−45%) and mid elevations (−14%), while the date of peak SWE was uniformly earlier in the year for all elevations (17–23 days). Currently unmonitored high elevation snow represented a greater fraction of total PGW SWE. PGW peak daily SWI was higher for all elevations (30%–42%), while the dates of SWI peaks and centroids were earlier in the year for all elevations under PGW. PGW displayed elevated winter SWI, lower summer SWI, and changes in spring SWI timing were elevation-dependent. Although PGW peak SWI was elevated and earlier compared to CTL, SWI was more evenly distributed throughout the year for PGW. These simulated shifts in the timing and magnitude of SWE and SWI have broad implications for water management in dry, snow-dominated regions.
@article{hammond_high_2023,
title = {High {Resolution} {SnowModel} {Simulations} {Reveal} {Future} {Elevation}-{Dependent} {Snow} {Loss} and {Earlier}, {Flashier} {Surface} {Water} {Input} for the {Upper} {Colorado} {River} {Basin}},
volume = {11},
copyright = {© 2023 The Authors. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.},
issn = {2328-4277},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2022EF003092},
doi = {10.1029/2022EF003092},
abstract = {Continued climate warming is reducing seasonal snowpacks in the western United States, where {\textgreater}50\% of historical water supplies were snowmelt-derived. In the Upper Colorado River Basin, declining snow water equivalent (SWE) and altered surface water input (SWI, rainfall and snowmelt available to enter the soil) timing and magnitude affect streamflow generation and water availability. To adapt effectively to future conditions, we need to understand current spatiotemporal distributions of SWE and SWI and how they may change in future decades. We developed 100-m SnowModel simulations for water years 2001–2013 and two scenarios: control (CTL) and pseudo-global-warming (PGW). The PGW fraction of precipitation falling as snow was lower relative to CTL, except for November–April at high elevations. PGW peak SWE was lower for low (−45\%) and mid elevations (−14\%), while the date of peak SWE was uniformly earlier in the year for all elevations (17–23 days). Currently unmonitored high elevation snow represented a greater fraction of total PGW SWE. PGW peak daily SWI was higher for all elevations (30\%–42\%), while the dates of SWI peaks and centroids were earlier in the year for all elevations under PGW. PGW displayed elevated winter SWI, lower summer SWI, and changes in spring SWI timing were elevation-dependent. Although PGW peak SWI was elevated and earlier compared to CTL, SWI was more evenly distributed throughout the year for PGW. These simulated shifts in the timing and magnitude of SWE and SWI have broad implications for water management in dry, snow-dominated regions.},
language = {en},
number = {2},
urldate = {2023-06-23},
journal = {Earth's Future},
author = {Hammond, John C. and Sexstone, Graham A. and Putman, Annie L. and Barnhart, Theodore B. and Rey, David M. and Driscoll, Jessica M. and Liston, Glen E. and Rasmussen, Kristen L. and McGrath, Daniel and Fassnacht, Steven R. and Kampf, Stephanie K.},
year = {2023},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022EF003092},
keywords = {NALCMS},
pages = {e2022EF003092},
}
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This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.","issn":"2328-4277","url":"https://onlinelibrary.wiley.com/doi/abs/10.1029/2022EF003092","doi":"10.1029/2022EF003092","abstract":"Continued climate warming is reducing seasonal snowpacks in the western United States, where \\textgreater50% of historical water supplies were snowmelt-derived. In the Upper Colorado River Basin, declining snow water equivalent (SWE) and altered surface water input (SWI, rainfall and snowmelt available to enter the soil) timing and magnitude affect streamflow generation and water availability. To adapt effectively to future conditions, we need to understand current spatiotemporal distributions of SWE and SWI and how they may change in future decades. We developed 100-m SnowModel simulations for water years 2001–2013 and two scenarios: control (CTL) and pseudo-global-warming (PGW). The PGW fraction of precipitation falling as snow was lower relative to CTL, except for November–April at high elevations. PGW peak SWE was lower for low (−45%) and mid elevations (−14%), while the date of peak SWE was uniformly earlier in the year for all elevations (17–23 days). Currently unmonitored high elevation snow represented a greater fraction of total PGW SWE. PGW peak daily SWI was higher for all elevations (30%–42%), while the dates of SWI peaks and centroids were earlier in the year for all elevations under PGW. PGW displayed elevated winter SWI, lower summer SWI, and changes in spring SWI timing were elevation-dependent. Although PGW peak SWI was elevated and earlier compared to CTL, SWI was more evenly distributed throughout the year for PGW. 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This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.},\n\tissn = {2328-4277},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2022EF003092},\n\tdoi = {10.1029/2022EF003092},\n\tabstract = {Continued climate warming is reducing seasonal snowpacks in the western United States, where {\\textgreater}50\\% of historical water supplies were snowmelt-derived. In the Upper Colorado River Basin, declining snow water equivalent (SWE) and altered surface water input (SWI, rainfall and snowmelt available to enter the soil) timing and magnitude affect streamflow generation and water availability. To adapt effectively to future conditions, we need to understand current spatiotemporal distributions of SWE and SWI and how they may change in future decades. We developed 100-m SnowModel simulations for water years 2001–2013 and two scenarios: control (CTL) and pseudo-global-warming (PGW). The PGW fraction of precipitation falling as snow was lower relative to CTL, except for November–April at high elevations. PGW peak SWE was lower for low (−45\\%) and mid elevations (−14\\%), while the date of peak SWE was uniformly earlier in the year for all elevations (17–23 days). Currently unmonitored high elevation snow represented a greater fraction of total PGW SWE. PGW peak daily SWI was higher for all elevations (30\\%–42\\%), while the dates of SWI peaks and centroids were earlier in the year for all elevations under PGW. PGW displayed elevated winter SWI, lower summer SWI, and changes in spring SWI timing were elevation-dependent. Although PGW peak SWI was elevated and earlier compared to CTL, SWI was more evenly distributed throughout the year for PGW. 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