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Visualizing NWM Retrospective Streamflow in Python


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Created: Jan 18, 2023 at 5:38 p.m.
Last updated: Jan 18, 2023 at 5:44 p.m.
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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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How to Cite

Castronova, A. M. (2023). Visualizing NWM Retrospective Streamflow in Python, HydroShare, http://www.hydroshare.org/resource/830b603665cc4ac0893d5449badd422d

This resource is shared under the Creative Commons Attribution CC BY.

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