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Hydrology scenarios that characterize plausible future drought conditions in the Colorado River Basin
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Type: | Resource | |
Storage: | The size of this resource is 41.9 MB | |
Created: | Sep 03, 2020 at 7:49 p.m. | |
Last updated: | Sep 15, 2022 at 12:33 p.m. (Metadata update) | |
Published date: | Aug 24, 2022 at 11:31 p.m. | |
DOI: | 10.4211/hs.ca2e152c9fca4b2aa7c3294a388c522d | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 2047 |
Downloads: | 281 |
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Abstract
This dataset holds streamflow sequences for each of three drought scenarios developed to characterize plausible future drought conditions in the Colorado River Basin. These sequences were produced using the methods described in Center for Colorado River Studies Future of the Colorado River Project white paper 4 entitled “The Future Hydrology of the Colorado River Basin” by Salehabadi, Tarboton et al. (2020) and paper Salehabadi, H., D. G. Tarboton, B. H. Udall, K. G. Wheeler and J. C. Schmidt, (2022), "An Assessment of Potential Severe Droughts in the Colorado River Basin," JAWRA Journal of the American Water Resources Association, https://doi.org/10.1111/1752-1688.13061. This study defined three drought scenarios: (1) Millennium Drought, (2) Mid 20th Century Drought and (3) Paleo Tree Ring Severe Drought. The first two were defined using the US Bureau of Reclamation Natural flows from 2000-2018 and 1953-1977 respectively. The last was defined using the years 1576-1600 from the Meko et al., 2017 tree ring reconstruction of streamflow at Lees Ferry. 100 streamflow traces, each 42 years long were produced for each scenario by resampling years with replacement. Resampling from identified past drought scenarios, provides test droughts based on past flows that are more severe, due to the variety in the sampling, than any past droughts that have actually occurred. They are nevertheless plausible, since they are derived from past records. We used a nonparametric resampling approach referred to as “Water Year Block Disaggregation” to split the simulated annual flow at Lees Ferry into monthly flow at each of the 29 Colorado River Simulation System (CRSS) natural inflow sites. For the first two scenarios where there are historic natural flows at the 29 CRSS sites, this selects the entire water year block of monthly flows across sites for the corresponding drought year. For the paleo scenario, where there are not flows at each of the sites, the historic natural flow year with annual flow at Lees Ferry closest to the paleo flow is selected, and then flows across the sites and months adjusted by the ratio of paleo flow to closest historic flow.
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readme.txt
Streamflow sequences for each of three drought scenarios developed to characterize plausible future drought conditions in the Colorado River Basin described by Salehabadi, Tarboton et al. (2020). Generated streamflow traces (Monthly and Annual) for each drought scenario are available as Excel files. • MillenniumDrought_2000-2018_Monthly.xlsx • Mid20thCenturyDrought_1953-1977_Monthly.xlsx • PaleoTreeRingDrought_1576-1600_Monthly.xlsx • MillenniumDrought_2000-2018_AnnualWaterYear.xlsx • Mid20thCenturyDrought_1953-1977_AnnualWaterYear.xlsx • PaleoTreeRingDrought_1576-1600_AnnualWaterYear.xlsx Each Excel file is comprised of 100 sheets, each containing a 42-year sequence (Trace) of monthly or annual streamflow at each of the 29 CRSS sites. USGS Gage Numbers (Streamflow Gaging site number) are used to identify each CRSS natural inflow site (ID = 1 to 29) for which flow is simulated. The corresponding USGS Gage Numbers and CRSS site IDs and a map of their locations are provided in an Excel file (USGSGages_CRSSSites_CorrespondingIDs.xlsx). In the Excel files for the Millennium and Mid 20th Century droughts the first two columns (A and B) hold the water year and month selected from historic flows to simulate that year. The remaining columns hold intervening natural flow for the corresponding site, in acre-ft. Intervening natural flow is the streamflow originating in the subwatershed draining directly to that site without first flowing past any upstream site. For the Paleo Tree-Ring drought the Excel file has three leading columns. Column A (wy_TR) holds the tree-ring reconstruction year sampled for that trace year. Columns B and C hold the water year and month selected from historic flows as being closest to the tree-ring flow at Lees Ferry. The remaining columns hold intervening natural flow for the corresponding site, after adjustment by the ratio of paleo flow to closest historic flow. The files described above were produced using R code, the US Bureau of Reclamation Natural Flow Data Base Excel file, and Tree-Ring Reconstructed flow at Lees Ferry from the most skillful model of Meko et al., 2017. For reproducibility the R scripts used, and the input data are saved in the Folder WYBlockDisagg that has the following files: • WaterYearBlockDisaggregation_HistoricScenario.R. R code to generate the monthly streamflow traces based on historic drought scenarios. • WaterYearBlockDisaggregation_PaleoTreeRingScenario.R. R code to generate the monthly streamflow traces based on tree ring drought scenarios. • NaturalFlows1906-2018_20200110.xlsx. Natural Flow Data Base, version 1/10/2020 from U.S. Bureau of Reclamation, (2020), https://www.usbr.gov/lc/region/g4000/NaturalFlow/current.html. • TreeRingFlowLeesFerry.xlsx. Tree Ring Reconstructed Flow at Lees Ferry (Most skillful model of Meko et al., 2017) from https://www.treeflow.info/content/upper-colorado. ----------------------- References Meko, D. M., C. A. Woodhouse and E. R. Bigio, (2017), "Southern California Tree-Ring Study," California Department of Water Resources, https://pdfs.semanticscholar.org/fbaf/487604e2537c8f51037035e59c13113edeeb.pdf. Salehabadi, H., D. Tarboton, E. Kuhn, B. Udall, K. Wheeler, D. Rosenberg, S. Goeking and J. C. Schmidt, (2020), "The Future Hydrology of the Colorado River Basin," Center for Colorado River Studies, White Paper 4, Utah State University, https://qcnr.usu.edu/coloradoriver/files/WhitePaper4.pdf. U.S. Bureau of Reclamation, (2020), Colorado River Basin Natural Flow and Salt Data, Colorado River Basin Natural Flow Database. Last modified January 10, 2020, https://www.usbr.gov/lc/region/g4000/NaturalFlow/current.html
Related Resources
This resource is described by | Salehabadi, H., D. G. Tarboton, B. H. Udall, K. G. Wheeler and J. C. Schmidt, (2022), "An Assessment of Potential Severe Droughts in the Colorado River Basin," JAWRA Journal of the American Water Resources Association, https://doi.org/10.1111/1752-1688.13061. |
This resource is described by | Salehabadi, H., D. Tarboton, E. Kuhn, B. Udall, K. Wheeler, D. Rosenberg, S. Goeking and J. C. Schmidt, (2020), "The Future Hydrology of the Colorado River Basin," Center for Colorado River Studies, White Paper 4, Utah State University, https://qcnr.usu.edu/coloradoriver/files/WhitePaper4.pdf. |
The content of this resource references | Meko, D. M., C. A. Woodhouse and E. R. Bigio, (2017), "Southern California Tree-Ring Study," California Department of Water Resources, https://pdfs.semanticscholar.org/fbaf/487604e2537c8f51037035e59c13113edeeb.pdf. |
The content of this resource is derived from | U.S. Bureau of Reclamation, (2020), Colorado River Basin Natural Flow and Salt Data, Colorado River Basin Natural Flow Database. Last modified January 10, 2020, https://www.usbr.gov/lc/region/g4000/NaturalFlow/current.html. |
The content of this resource is derived from | Tree Ring Reconstructed Flow at Lees Ferry (Most skillful model of Meko et al., 2017) from https://www.treeflow.info/content/upper-colorado. |
This resource has been replaced by a newer version | Salehabadi, H., D. Tarboton (2023). Hydrology scenarios that characterize plausible future drought conditions in the Colorado River Basin, HydroShare, http://www.hydroshare.org/resource/15693b79fc6b47ccbe6dd42c7b734d98 |
Title | Owners | Sharing Status | My Permission |
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Data Collection to Supplement the Future Hydrology of the Colorado River Basin Study | David Tarboton · Homa Salehabadi | Published | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Walton Family Foundation | ||
Catena Foundation |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
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Sara Goeking | Utah State University | Utah, US | ||
Kevin Wheeler | University of Oxford | Oxfordshire, GB | ||
David E Rosenberg | Utah State University | Utah, US | ||
Eric Kuhn | Former General Manager of the Colorado River Water Conservation District | Colorado, US | ||
John C. Schmidt | Utah State University | Utah, US | ||
Brad Udall | Colorado Water Institute, Colorado State University | Colorado, US |
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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