Visualizing NWM Retrospective Streamflow in Python
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| Owners: | Anthony M. Castronova |
| Type: | Resource |
| Storage: | The size of this resource is 731.1 KB |
| Created: | Jan 18, 2023 at 5:38 p.m. |
| Last updated: | Jun 13, 2024 at 7:49 p.m. |
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| Sharing Status: | Public |
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Abstract
An example for accessing NWM retrospective streamflow predictions using Python and Zarr.
- https://registry.opendata.aws/nwm-archive/
The NOAA National Water Model Retrospective dataset contains input and output from multi-decade CONUS retrospective simulations. These simulations used meteorological input fields from meteorological retrospective datasets. The output frequency and fields available in this historical NWM dataset differ from those contained in the real-time operational NWM forecast model.
One application of this dataset is to provide historical context to current near real-time streamflow, soil moisture and snowpack conditions. The retrospective data can be used to infer flow frequencies and perform temporal analyses with hourly streamflow output and 3-hourly land surface output. This dataset can also be used in the development of end user applications which require a long baseline of data for system training or verification purposes.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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