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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 6.5 MB | |
Created: | Jun 04, 2023 at 9:38 p.m. | |
Last updated: | Jun 05, 2023 at 12:40 p.m. (Metadata update) | |
Published date: | Jun 05, 2023 at 12:40 p.m. | |
DOI: | 10.4211/hs.c4c9f0950c7a42d298ca25e4f6ba5542 | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 1103 |
Downloads: | 323 |
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Comments: | No comments (yet) |
Abstract
This resource provides users with valuable access to the NOAA National Water Model (NWM) CONUS Retrospective Dataset version 2.1. The data, offered in Zarr format, can be downloaded and converted into user-specific CSV files, corresponding to individual forecast points identified by the user. Accompanying the code, users will discover a comprehensive list of USGS stations, each corresponding to a forecast point from the NWM, aiding in the forecast precision and data extraction process. The resource is further enhanced by a station description file, providing in-depth information about various streams and drainage areas retrieved from the NHDPlus Version 2dataset. The combination of these tools and datasets offers an effective means to analyze and visualize hydrological conditions across the CONUS region, benefitting researchers, planners, and policy-makers in their water management decisions.
Subject Keywords
Coverage
Spatial
Content
Readme.txt
With the provided resources the user can download NWM retrospective mode output data from AWS buckets. Original data is available at: https://registry.opendata.aws/nwm-archive/ A description of the model output data could be found at: https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/nwm-archive Users can specify a list of station or NWM forecast points that they wish to obtain for the simulation period. Users are encouraged to change the multiprocessing part in the code (Line 48) based on the machine that they are using.
Additional Metadata
Name | Value |
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NWM_USGS_Natural_Flow | Contain information about the NWM forecast points and corresponding USGS stations. |
NWM_USGS_Artifical_Path | Contain information about the NWM forecast points and corresponding USGS stations. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
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This work did not receive any external funding |
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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Jorge Humberto Bravo Mendez | Stevens Institute of Technology | NJ, US | +1 (551) 263-4785 |
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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