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| Type: | Resource | |
| Storage: | The size of this resource is 36.8 KB | |
| Created: | Feb 10, 2021 at 9:01 a.m. | |
| Last updated: | May 18, 2021 at 5:38 p.m. (Metadata update) | |
| Published date: | May 18, 2021 at 5:37 p.m. | |
| DOI: | 10.4211/hs.d8c1b413951843cf9be968e9d2a4aa79 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1383 |
| Downloads: | 16 |
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| Comments: | No comments (yet) |
Abstract
This dataset contains the files with time series of potential covariates, 3-day maximum spring streamflow, and average spring streamflow used to implement a space-time model for projection of seasonal streamflow extremes in the Upper Colorado River basin that considers the nonstationarity and spatio-temporal dependence of high flows. It also contains a file with basic information for the seven-station gauges considered here. The raw data were obtained from different sources such as USGS, NRCS, and NOAA. Then, data were processed to obtain the dataset presented here.
Subject Keywords
Coverage
Spatial
Temporal
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Content
Related Resources
| The content of this resource is derived from | https://waterdata.usgs.gov/nwis |
| The content of this resource is derived from | https://www.wcc.nrcs.usda.gov/snowcourse/snow-course-sites.html |
| The content of this resource is derived from | https://www1.ncdc.noaa.gov/pub/data/ghcn/daily/ |
| The content of this resource is derived from | https://psl.noaa.gov/data/climateindices/list/ |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Science Foundation | 1243270 |
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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| Manuela Brunner | National Center for Atmospheric Research |
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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