Notebooks for post-processing the retrieved National Water Model Retrospective run results and inputs at SNOTEL sites


Authors:
Owners:
Resource type: Composite Resource
Storage: The size of this resource is 17.8 GB
Created: Feb 06, 2021 at 1:13 a.m.
Last updated: Jan 19, 2022 at 7:10 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 326
Downloads: 24
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This resource contains Jupyter Notebooks that are used for post-processing the retrieved National Water Model retrospective simulations (NWM-R2), which are geospatial gridded results with a spatial resolution of 1 km and temporal resolution of 3 h. The NWM-R2 grid cells used were from https://doi.org/10.4211/hs.7839e3f3b4f54940bd3591b24803cacf and snow water equivalent and snow-covered area fraction at these grid cells from https://doi.org/10.4211/hs.3d4976bf6eb84dfbbe11446ab0e31a0a that retrieved this information from the NOAA Google Cloud.

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Content

Readme.md

This resource has three folders: input, code, and output.

Input:

The input folder contains two files.

  • SNOTEL_indices_at_NWM.csv: This file includes the SNOTEL site information from Garousi-Nejad and Tarboton (2022).

  • geo_em.d01_1km: This NetCDF file is the NWM physiographic input information obtained from https://www.nco.ncep.noaa.gov/pmb/codes/nwprod/nwm.v2.0.4/parm/domain/ on Nov 2020 and is saved in this HydroShare resource.

Code:

The code folder contains three Jupyter Notebooks.

  • NWMv2_GeoDomain.ipynb: This notebook retrieves the NWM elevation input data at the SNOTEL location. This script requires two inputs, both available in the input folder. The output of this notebook is available in the ./output folder.

  • NWM_RRv2_Post-processing-INPUTS.ipynb: This notebook computes daily precipitation and the daily average temperature from the hourly precipitation and air temperature data, prepared by WRF-Hydro scientists and saved into the ./output/downloads folder of this resource. The outputs of this notebook are available in the ./output/preprocessed folder.

  • NWM_RRv2_Post-processing-RESULTS.ipynb: This notebook averages 3-hour NWM‐R2 results of snow water equivalent and snow-covered area fraction to daily values to have a similar temporal resolution when comparing the NWM‐R2 results with SNOTEL and MODIS observations because both these datasets produce daily data.

Output:

The output folder contains two folders and one CSV file.

  • NWM_HGT_M.csv: This is the output of the NWMv2_GeoDomain.ipynb jupyter notebook. It includes the NWM elevation data for the grid cells containing SNOTEL sites.

  • downloads folder: This folder contains four CSV files.

    • NWM_P.csv: The NWM hourly precipitation input data at grid cells containing SNOTEL sites, prepared by the WRF-Hydro team.
    • NWM_T.csv: The NWM hourly temperature input data at grid cells containing SNOTEL sites, prepared by the WRF-Hydro team.
    • NWM_SNEQV.csv: The 3-hour NWM-R2 results of snow water equivalent at grid cells containing SNOTEL sites, downloaded from https://doi.org/10.4211/hs.3d4976bf6eb84dfbbe11446ab0e31a0a and merged into one CSV file.
    • NWM_FSNO.csv: The 3-hour NWM-R2 results of snow covered area fraction at grid cells containing SNOTEL sites, downloaded from https://doi.org/10.4211/hs.3d4976bf6eb84dfbbe11446ab0e31a0a and merged into one CSV file.
  • preprocessed folder: This folder contains four CSV files.

    • NWM_P_Filter.csv: The output of the NWM_RRv2_Post-processing-INPUTS.ipynb jupyter notebook.
    • NWM_T_Filter.csv: The output of the NWM_RRv2_Post-processing-INPUTS.ipynb jupyter notebook.
    • NWM_SNEQV_Filter.csv: The output of the NWM_RRv2_Post-processing-RESULTS.ipynb jupyter notebook.
    • NWM_FSNO_Filter.csv: The output of the NWM_RRv2_Post-processing-RESULTS.ipynb jupyter notebook.

References

Sources

Derived From: Garousi-Nejad, I., D. Tarboton (2022). Notebook to get the indices of National Water Model grid cells containing SNOTEL sites, HydroShare, https://doi.org/10.4211/hs.7839e3f3b4f54940bd3591b24803cacf
Derived From: Tarboton, D., I. Garousi-Nejad (2022). Notebook for retrieval of National Water Model Retrospective run results at SNOTEL sites, HydroShare, https://www.hydroshare.org/resource/1b66a752b0cc467eb0f46bda5fdc4b34
Derived From: National Center for Environmental Prediction, NOAA (2022). National Water Model v2 physiographic input, retrieved from https://www.nco.ncep.noaa.gov/pmb/codes/nwprod/nwm.v2.0.4/parm/domain/, accessed Nov 30, 2020, saved in https://www.hydroshare.org/resource/1b66a752b0cc467eb0f46bda5fdc4b34/

Related Resources

The content of this resource serves as the data for: Garousi-Nejad, I. and Tarboton, D. (2022), "A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States", Hydrological Processes, https://doi.org/10.1002/hyp.14469
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Data for A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States Irene Garousi-Nejad · David Tarboton  Public &  Shareable Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Utah Water Research Laboratory Graduate Student Research Assistantship for I Garousi-Nejad
National Science Foundation Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis OAC-1664061, 1664018, 1664119

How to Cite

Garousi-Nejad, I., D. Tarboton (2022). Notebooks for post-processing the retrieved National Water Model Retrospective run results and inputs at SNOTEL sites, HydroShare, http://www.hydroshare.org/resource/1b66a752b0cc467eb0f46bda5fdc4b34

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

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required