Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
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 1.8 MB | |
| Created: | May 26, 2021 at 9:01 p.m. | |
| Last updated: | Nov 14, 2023 at 7:57 p.m. | |
| DOI: | 10.4211/hs.5949aec47b484e689573beeb004a2917 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 2041 |
| Downloads: | 545 |
| +1 Votes: | 3 others +1 this |
| Comments: | No comments (yet) |
Abstract
This resource contains Jupyter Python notebooks which are intended to be used to learn about the U.S. National Water Model (NWM). These notebooks explore NWM forecasts in various ways. NWM Notebooks 1, 2, and 3, access NWM forecasts directly from the NOAA NOMADS file sharing system. Notebook 4 accesses NWM forecasts from Google Cloud Platform (GCP) storage in addition to NOMADS. A brief summary of what each notebook does is included below:
Notebook 1 (NWM1_Visualization) focuses on visualization. It includes functions for downloading and extracting time series forecasts for any of the 2.7 million stream reaches of the U.S. NWM. It also demonstrates ways to visualize forecasts using Python packages like matplotlib.
Notebook 2 (NWM2_Xarray) explores methods for slicing and dicing NWM NetCDF files using the python library, XArray.
Notebook 3 (NWM3_Subsetting) is focused on subsetting NWM forecasts and NetCDF files for specified reaches and exporting NWM forecast data to CSV files.
Notebook 4 (NWM4_Hydrotools) uses Hydrotools, a new suite of tools for evaluating NWM data, to retrieve NWM forecasts both from NOMADS and from Google Cloud Platform storage where older NWM forecasts are cached. This notebook also briefly covers visualizing, subsetting, and exporting forecasts retrieved with Hydrotools.
**NOTE: Notebook 4 Requires a newer version of NumPy that is not available on the default CUAHSI JupyterHub instance. Please use the instance "HydroLearn - Intelligent Earth" and ensure to run !pip install hydrotools.nwm_client[gcp].**
The notebooks are part of a NWM learning module on HydroLearn.org. When the associated learning module is complete, the link to it will be added here. It is recommended that these notebooks be opened through the CUAHSI JupyterHub App on Hydroshare. This can be done via the 'Open With' button at the top of this resource page.
Subject Keywords
Coverage
Spatial
Content
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| Collection of resources that illustrate data processing methods and computational and modeling libraries in HydroShare and linked JupyterHub computing platforms | David Tarboton | Public & Shareable | Open Access |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment